Full Code of rockydant/ai-market for AI

gitextract_psbv42qj/

├── .dockerignore
├── CHANGELOG.md
├── DEVELOPMENT.md
├── Dockerfile
├── FORECASTING_DASHBOARD_FIX.md
├── MISSING_ENDPOINTS_FIX.md
├── PORTFOLIO_LOADING_INDICATORS.md
├── POSTGRESQL_MIGRATION_SUMMARY.md
├── PRICE_TRACKING_IMPROVEMENT.md
├── QUICK_REFERENCE.md
├── README.md
├── REFACTORING_SUMMARY.md
├── ROADMAP.md
├── SYSTEM_STATUS_LOADING_INDICATORS.md
├── TRADING_DASHBOARD_REMOVAL.md
├── TRADING_DECISIONS_FIX.md
├── VERSION.md
├── agents/
│   ├── base_agent.py
│   ├── correlation_agent.py
│   ├── day_forecast_agent.py
│   ├── ensemble_agent.py
│   ├── event_impact_agent.py
│   ├── execution_router_agent.py
│   ├── forecast_agent.py
│   ├── latent_pattern_agent.py
│   ├── llm_explain_agent.py
│   ├── meta_agent.py
│   ├── meta_evaluation_agent.py
│   ├── momentum_agent.py
│   ├── position_tracker_agent.py
│   ├── rag_event_agent.py
│   ├── rebalance_agent.py
│   ├── report_agent.py
│   ├── risk_agent.py
│   ├── risk_control_agent.py
│   ├── rl_strategy_agent.py
│   ├── sentiment_agent.py
│   ├── strategy_agent.py
│   ├── swing_forecast_agent.py
│   ├── ticker_ranker_agent.py
│   ├── ticker_scanner_agent.py
│   ├── volatility_agent.py
│   └── volume_agent.py
├── alerts/
│   ├── __init__.py
│   └── alert_system.py
├── analytics/
│   ├── __init__.py
│   └── performance_tracker.py
├── api/
│   └── main.py
├── backtesting/
│   ├── __init__.py
│   └── backtest_engine.py
├── config/
│   ├── init.sql
│   └── prometheus.yml
├── context/
│   ├── context_managers.py
│   └── regime_detection.py
├── data/
│   ├── alternative_data_sources.py
│   ├── data_ingestors.py
│   ├── data_quality_validator.py
│   ├── enhanced_data_sources.py
│   └── realtime_feeds.py
├── docker-compose.postgres.yml
├── docker-compose.yml
├── force_portfolio_view.py
├── frontend/
│   ├── .gitignore
│   ├── Dockerfile
│   ├── angular.json
│   ├── angular.log
│   ├── angular_final.log
│   ├── angular_fixed.log
│   ├── debug_angular.log
│   ├── dist/
│   │   └── ai-market-analysis/
│   │       ├── 11.e8090ab18786ee32.js
│   │       ├── 153.06603bfee9654547.js
│   │       ├── 163.c6c504bdb900f68b.js
│   │       ├── 191.0e7455aac9e2267e.js
│   │       ├── 199.1565a87440b360a7.js
│   │       ├── 287.7634ca6906203692.js
│   │       ├── 375.a1953dd3024deea3.js
│   │       ├── 3rdpartylicenses.txt
│   │       ├── 42.2c13b6a4b4dc13b3.js
│   │       ├── 475.a6044d2a5850b07c.js
│   │       ├── 495.228aa6bf52f78225.js
│   │       ├── 51.e042df33c0d25b44.js
│   │       ├── 529.1a5d29d0338c5faf.js
│   │       ├── 647.2dd8e3fb1400f786.js
│   │       ├── 655.5cffda334b24f339.js
│   │       ├── 661.b69c22096672b7b3.js
│   │       ├── 703.18f42843dd1545ee.js
│   │       ├── 823.46eced0dc508790e.js
│   │       ├── 931.e5ad0fa75c438903.js
│   │       ├── 971.0769e91eec9e5f38.js
│   │       ├── common.e153dc049982e832.js
│   │       ├── index.html
│   │       ├── main.d4fc7414650d71e6.js
│   │       ├── polyfills.6a07b95c7c547090.js
│   │       ├── runtime.6d0f84b68ab6d4a1.js
│   │       └── styles.82f023298a01baef.css
│   ├── frontend.log
│   ├── nginx.conf
│   ├── package.json
│   ├── server.log
│   ├── src/
│   │   ├── app/
│   │   │   ├── app.component.ts
│   │   │   ├── app.routes.ts
│   │   │   ├── components/
│   │   │   │   ├── header/
│   │   │   │   │   └── header.component.ts
│   │   │   │   └── sidebar/
│   │   │   │       └── sidebar.component.ts
│   │   │   ├── interfaces/
│   │   │   │   └── ensemble-blender.interface.ts
│   │   │   ├── pages/
│   │   │   │   ├── ab-testing/
│   │   │   │   │   └── ab-testing.component.ts
│   │   │   │   ├── agent-monitor/
│   │   │   │   │   └── agent-monitor.component.ts
│   │   │   │   ├── agent-router/
│   │   │   │   │   ├── agent-router.component.html
│   │   │   │   │   └── agent-router.component.ts
│   │   │   │   ├── agents/
│   │   │   │   │   └── agents.component.ts
│   │   │   │   ├── analytics/
│   │   │   │   │   └── analytics.component.ts
│   │   │   │   ├── dashboard/
│   │   │   │   │   └── dashboard.component.ts
│   │   │   │   ├── ensemble-blender/
│   │   │   │   │   ├── ensemble-blender.component.css
│   │   │   │   │   ├── ensemble-blender.component.html
│   │   │   │   │   └── ensemble-blender.component.ts
│   │   │   │   ├── execution-agent/
│   │   │   │   │   ├── execution-agent.component.html
│   │   │   │   │   └── execution-agent.component.ts
│   │   │   │   ├── forecasting-dashboard/
│   │   │   │   │   ├── forecasting-dashboard.component.css
│   │   │   │   │   ├── forecasting-dashboard.component.html
│   │   │   │   │   ├── forecasting-dashboard.component.html.backup
│   │   │   │   │   └── forecasting-dashboard.component.ts
│   │   │   │   ├── latent-pattern-detector/
│   │   │   │   │   ├── latent-pattern-detector.component.html
│   │   │   │   │   └── latent-pattern-detector.component.ts
│   │   │   │   ├── meta-evaluation-agent/
│   │   │   │   │   ├── meta-evaluation-agent.component.html
│   │   │   │   │   └── meta-evaluation-agent.component.ts
│   │   │   │   ├── predictions/
│   │   │   │   │   └── predictions.component.ts
│   │   │   │   ├── rag-event-agent/
│   │   │   │   │   ├── rag-event-agent.component.html
│   │   │   │   │   └── rag-event-agent.component.ts
│   │   │   │   ├── reports/
│   │   │   │   │   └── reports.component.ts
│   │   │   │   ├── risk-analysis/
│   │   │   │   │   ├── risk.component.html
│   │   │   │   │   └── risk.component.ts
│   │   │   │   ├── rl-strategy-agent/
│   │   │   │   │   ├── rl-strategy-agent.component.html
│   │   │   │   │   └── rl-strategy-agent.component.ts
│   │   │   │   ├── symbol-management/
│   │   │   │   │   ├── symbol-management.component.css
│   │   │   │   │   ├── symbol-management.component.html
│   │   │   │   │   └── symbol-management.component.ts
│   │   │   │   ├── system-status/
│   │   │   │   │   └── system-status.component.ts
│   │   │   │   └── ticker-discovery/
│   │   │   │       └── ticker-discovery.component.ts
│   │   │   ├── services/
│   │   │   │   └── system-status.service.ts
│   │   │   └── shared/
│   │   │       ├── loading/
│   │   │       │   └── loading.component.ts
│   │   │       ├── modal/
│   │   │       │   ├── modal.component.ts
│   │   │       │   └── modal.service.ts
│   │   │       └── skeleton/
│   │   │           └── skeleton.component.ts
│   │   ├── environments/
│   │   │   └── environment.ts
│   │   ├── index.html
│   │   ├── main.ts
│   │   └── styles.scss
│   ├── tailwind.config.js
│   ├── tsconfig.app.json
│   └── tsconfig.json
├── migrations/
│   ├── add_forecast_tables.sql
│   └── add_initial_price_columns.sql
├── ml/
│   ├── __init__.py
│   ├── advanced_models.py
│   ├── deep_learning_models.py
│   ├── model_explainability.py
│   └── real_time_learning.py
├── portfolio/
│   ├── __init__.py
│   ├── models.py
│   ├── order_types.py
│   └── portfolio_manager.py
├── rag/
│   ├── __init__.py
│   ├── document_store.py
│   ├── embedding_service.py
│   ├── llm_service.py
│   ├── news_ingester.py
│   └── vector_db.py
├── requirements-docker.txt
├── requirements.txt
├── risk/
│   ├── __init__.py
│   └── monte_carlo_simulator.py
├── rl/
│   ├── __init__.py
│   ├── experience_replay.py
│   ├── market_environment.py
│   ├── reward_functions.py
│   └── training_utils.py
├── routes/
│   ├── __init__.py
│   ├── ab_testing.py
│   ├── agent_monitor.py
│   ├── agent_router.py
│   ├── dependencies.py
│   ├── ensemble_blender.py
│   ├── execution_agent.py
│   ├── forecasting.py
│   ├── health.py
│   ├── latent_pattern.py
│   ├── meta_evaluation.py
│   ├── portfolio.py
│   ├── predictions.py
│   ├── rag_event_agent.py
│   ├── risk_analysis.py
│   ├── rl_strategy.py
│   ├── symbols.py
│   ├── ticker_discovery.py
│   └── utils.py
├── services/
│   ├── agent_performance_service.py
│   ├── agent_router_service.py
│   ├── automated_rag_service.py
│   ├── enhanced_forecasting_service.py
│   ├── ensemble_blender_service.py
│   ├── execution_agent_service.py
│   ├── individual_agent_service.py
│   ├── latent_pattern_service.py
│   ├── meta_evaluation_service.py
│   ├── multi_asset_service.py
│   ├── postgres_database.py
│   ├── rag_event_agent_service.py
│   ├── real_data_service.py
│   ├── real_event_impact_service.py
│   ├── real_market_regime_service.py
│   ├── real_sentiment_service.py
│   ├── report_generation_service.py
│   ├── rl_data_collector.py
│   ├── rl_strategy_agent_service.py
│   ├── rl_training_service.py
│   ├── symbol_database.py
│   ├── symbol_manager.py
│   ├── symbol_manager_db.py
│   └── symbol_manager_postgres.py
├── start_system_final.py
├── start_system_final.py.backup
├── start_system_final_new.py
└── start_system_final_old_3600lines.py

SYMBOL INDEX (5626 symbols across 154 files)

FILE: agents/base_agent.py
  class AgentStatus (line 22) | class AgentStatus(Enum):
  class SignalType (line 30) | class SignalType(Enum):
  class AgentSignal (line 40) | class AgentSignal:
  class AgentContext (line 52) | class AgentContext:
  class BaseAgent (line 62) | class BaseAgent(ABC):
    method __init__ (line 71) | def __init__(
    method train (line 96) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 110) | def predict(self, context: AgentContext) -> AgentSignal:
    method update_model (line 123) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...
    method validate_signal (line 133) | def validate_signal(self, signal: AgentSignal) -> bool:
    method extract_time_features (line 157) | def extract_time_features(self, timestamp: datetime) -> Dict[str, Any]:
    method _is_market_hours (line 179) | def _is_market_hours(self, timestamp: datetime) -> bool:
    method _time_since_market_open (line 188) | def _time_since_market_open(self, timestamp: datetime) -> float:
    method _time_to_market_close (line 196) | def _time_to_market_close(self, timestamp: datetime) -> float:
    method calculate_performance_metrics (line 204) | def calculate_performance_metrics(self, predictions: List[AgentSignal]...
    method get_status (line 242) | def get_status(self) -> Dict[str, Any]:
    method __str__ (line 253) | def __str__(self) -> str:
    method __repr__ (line 257) | def __repr__(self) -> str:

FILE: agents/correlation_agent.py
  class CorrelationAgent (line 23) | class CorrelationAgent(BaseAgent):
    method __init__ (line 34) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 72) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 98) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_correlations (line 130) | def _analyze_correlations(self, context: AgentContext) -> Dict[str, Any]:
    method _analyze_price_correlations (line 173) | def _analyze_price_correlations(self, symbol: str, context: AgentConte...
    method _analyze_sector_correlations (line 219) | def _analyze_sector_correlations(self, symbol: str, context: AgentCont...
    method _detect_correlation_breakdowns (line 254) | def _detect_correlation_breakdowns(self, symbol: str, context: AgentCo...
    method _calculate_correlation_strength (line 293) | def _calculate_correlation_strength(self, correlations: Dict[str, floa...
    method _calculate_confidence (line 315) | def _calculate_confidence(self, correlations: Dict[str, float], breakd...
    method _generate_correlation_signal (line 340) | def _generate_correlation_signal(self, analysis: Dict[str, Any], conte...
    method _simple_correlation_analysis (line 394) | def _simple_correlation_analysis(self, context: AgentContext) -> Agent...
    method _create_hold_signal (line 435) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 447) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/day_forecast_agent.py
  class ForecastHorizon (line 27) | class ForecastHorizon(Enum):
  class SignalStrength (line 34) | class SignalStrength(Enum):
  class TechnicalIndicator (line 42) | class TechnicalIndicator:
  class DayForecast (line 51) | class DayForecast:
  class DayForecastMetrics (line 68) | class DayForecastMetrics:
  class DayForecastAgent (line 84) | class DayForecastAgent:
    method __init__ (line 96) | def __init__(self, real_data_service=None):
    method _initialize_models (line 124) | def _initialize_models(self):
    method _calculate_technical_indicators (line 138) | def _calculate_technical_indicators(self, data: pd.DataFrame) -> Dict[...
    method _generate_technical_signals (line 274) | def _generate_technical_signals(self, indicators: Dict[str, float], cu...
    method _determine_market_regime (line 368) | def _determine_market_regime(self, data: pd.DataFrame) -> str:
    method _calculate_confidence (line 404) | def _calculate_confidence(self, indicators: Dict[str, float], signals:...
    method generate_forecast (line 439) | async def generate_forecast(self, symbol: str, horizon: ForecastHorizo...
    method _generate_minimal_forecast (line 529) | def _generate_minimal_forecast(self, symbol: str, horizon: ForecastHor...
    method _get_market_data (line 588) | async def _get_market_data(self, symbol: str, periods: int = 50) -> Op...
    method _generate_mock_data (line 608) | def _generate_mock_data(self, symbol: str, periods: int) -> pd.DataFrame:
    method _predict_price (line 665) | async def _predict_price(self, symbol: str, data: pd.DataFrame, horizo...
    method _prepare_features (line 707) | def _prepare_features(self, data: pd.DataFrame) -> Optional[np.ndarray]:
    method _simple_price_prediction (line 740) | def _simple_price_prediction(self, data: pd.DataFrame) -> float:
    method _forecast_volatility (line 762) | def _forecast_volatility(self, data: pd.DataFrame) -> float:
    method _forecast_volume (line 784) | def _forecast_volume(self, data: pd.DataFrame) -> float:
    method _calculate_risk_score (line 808) | def _calculate_risk_score(self, indicators: Dict[str, float], market_r...
    method get_forecast_summary (line 838) | async def get_forecast_summary(self) -> Dict[str, Any]:
    method _update_metrics (line 861) | async def _update_metrics(self):
    method get_forecast (line 919) | async def get_forecast(self, symbol: str, horizon: str = "end_of_day")...

FILE: agents/ensemble_agent.py
  class BlendMode (line 24) | class BlendMode(Enum):
  class AgentWeight (line 32) | class AgentWeight:
  class EnsembleSignal (line 42) | class EnsembleSignal:
  class SignalQualityMetrics (line 57) | class SignalQualityMetrics:
  class EnsembleAgent (line 66) | class EnsembleAgent(AgentBase):
    method __init__ (line 74) | def __init__(self, name: str = "EnsembleAgent"):
    method _initialize_agent_weights (line 98) | def _initialize_agent_weights(self):
    method predict (line 194) | async def predict(self, symbol: str, context: Dict[str, Any]) -> Agent...
    method _blend_signals (line 250) | async def _blend_signals(self, symbol: str, agent_signals: Dict[str, A...
    method _blend_average (line 313) | def _blend_average(self, signals: Dict[str, AgentSignal], weights: Dic...
    method _blend_majority (line 334) | def _blend_majority(self, signals: Dict[str, AgentSignal], weights: Di...
    method _blend_max_confidence (line 353) | def _blend_max_confidence(self, signals: Dict[str, AgentSignal], weigh...
    method _blend_weighted_average (line 366) | def _blend_weighted_average(self, signals: Dict[str, AgentSignal], wei...
    method _value_to_signal_type (line 392) | def _value_to_signal_type(self, value: float) -> SignalType:
    method _assess_signal_quality (line 405) | def _assess_signal_quality(self, ensemble_signal: EnsembleSignal,
    method _calculate_consistency (line 444) | def _calculate_consistency(self, signal_types: List[SignalType]) -> fl...
    method _calculate_agreement (line 461) | def _calculate_agreement(self, agent_signals: Dict[str, AgentSignal],
    method _calculate_regime_alignment (line 474) | def _calculate_regime_alignment(self, ensemble_signal: EnsembleSignal)...
    method _calculate_historical_accuracy (line 520) | def _calculate_historical_accuracy(self, symbol: str) -> float:
    method _update_regime (line 526) | def _update_regime(self, context: Dict[str, Any]):
    method _detect_regime (line 541) | def _detect_regime(self, context: Dict[str, Any]) -> str:
    method _update_agent_weights (line 561) | async def _update_agent_weights(self, ensemble_signal: EnsembleSignal,
    method _create_default_signal (line 585) | def _create_default_signal(self, symbol: str) -> AgentSignal:
    method _create_default_ensemble_signal (line 596) | def _create_default_ensemble_signal(self, symbol: str) -> EnsembleSignal:
    method get_ensemble_summary (line 612) | def get_ensemble_summary(self) -> Dict[str, Any]:

FILE: agents/event_impact_agent.py
  class EventType (line 25) | class EventType(Enum):
  class EventImpact (line 44) | class EventImpact(Enum):
  class MarketEvent (line 53) | class MarketEvent:
  class EventImpactAgent (line 68) | class EventImpactAgent(BaseAgent):
    method __init__ (line 80) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 148) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 174) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_events (line 206) | def _analyze_events(self, context: AgentContext) -> Dict[str, Any]:
    method _fetch_recent_events (line 254) | def _fetch_recent_events(self, symbol: str) -> List[MarketEvent]:
    method _parse_event_entry (line 296) | def _parse_event_entry(self, entry: Dict, symbol: str) -> Optional[Mar...
    method _is_relevant_event (line 346) | def _is_relevant_event(self, text: str, symbol: str) -> bool:
    method _classify_event_type (line 364) | def _classify_event_type(self, text: str) -> EventType:
    method _calculate_impact_score (line 384) | def _calculate_impact_score(self, text: str, event_type: EventType) ->...
    method _determine_affected_assets (line 414) | def _determine_affected_assets(self, text: str, symbol: str) -> List[s...
    method _calculate_event_confidence_score (line 429) | def _calculate_event_confidence_score(self, text: str, event_type: Eve...
    method _score_event_impacts (line 451) | def _score_event_impacts(self, events: List[MarketEvent], symbol: str)...
    method _calculate_time_to_event (line 473) | def _calculate_time_to_event(self, event: MarketEvent) -> float:
    method _analyze_event_timing (line 484) | def _analyze_event_timing(self, event_impacts: List[Dict[str, Any]]) -...
    method _calculate_event_risk (line 512) | def _calculate_event_risk(self, event_impacts: List[Dict[str, Any]]) -...
    method _detect_event_opportunities (line 543) | def _detect_event_opportunities(self, event_impacts: List[Dict[str, An...
    method _calculate_event_confidence (line 578) | def _calculate_event_confidence(self, event_impacts: List[Dict[str, An...
    method _generate_event_signal (line 597) | def _generate_event_signal(self, analysis: Dict[str, Any], context: Ag...
    method _simple_event_analysis (line 655) | def _simple_event_analysis(self, context: AgentContext) -> AgentSignal:
    method _create_hold_signal (line 696) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 708) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/execution_router_agent.py
  class ExecutionMode (line 20) | class ExecutionMode(Enum):
  class OrderType (line 25) | class OrderType(Enum):
  class OrderSide (line 33) | class OrderSide(Enum):
  class OrderStatus (line 38) | class OrderStatus(Enum):
  class ExecutionOrder (line 49) | class ExecutionOrder:
    method __post_init__ (line 71) | def __post_init__(self):
  class ExecutionResult (line 78) | class ExecutionResult:
  class BrokerInterface (line 90) | class BrokerInterface(ABC):
    method submit_order (line 94) | async def submit_order(self, order: ExecutionOrder) -> ExecutionResult:
    method cancel_order (line 99) | async def cancel_order(self, order_id: str) -> bool:
    method get_order_status (line 104) | async def get_order_status(self, order_id: str) -> OrderStatus:
    method get_account_info (line 109) | async def get_account_info(self) -> Dict[str, Any]:
    method get_positions (line 114) | async def get_positions(self) -> List[Dict[str, Any]]:
  class PaperTradingBroker (line 118) | class PaperTradingBroker(BrokerInterface):
    method __init__ (line 121) | def __init__(self, initial_cash: float = 100000.0):
    method submit_order (line 127) | async def submit_order(self, order: ExecutionOrder) -> ExecutionResult:
    method cancel_order (line 225) | async def cancel_order(self, order_id: str) -> bool:
    method get_order_status (line 233) | async def get_order_status(self, order_id: str) -> OrderStatus:
    method get_account_info (line 239) | async def get_account_info(self) -> Dict[str, Any]:
    method get_positions (line 255) | async def get_positions(self) -> List[Dict[str, Any]]:
  class AlpacaBroker (line 269) | class AlpacaBroker(BrokerInterface):
    method __init__ (line 272) | def __init__(self, api_key: str, secret_key: str, base_url: str = "htt...
    method submit_order (line 278) | async def submit_order(self, order: ExecutionOrder) -> ExecutionResult:
    method cancel_order (line 299) | async def cancel_order(self, order_id: str) -> bool:
    method get_order_status (line 304) | async def get_order_status(self, order_id: str) -> OrderStatus:
    method get_account_info (line 308) | async def get_account_info(self) -> Dict[str, Any]:
    method get_positions (line 317) | async def get_positions(self) -> List[Dict[str, Any]]:
  class BinanceBroker (line 321) | class BinanceBroker(BrokerInterface):
    method __init__ (line 324) | def __init__(self, api_key: str, secret_key: str, testnet: bool = True):
    method submit_order (line 330) | async def submit_order(self, order: ExecutionOrder) -> ExecutionResult:
    method cancel_order (line 349) | async def cancel_order(self, order_id: str) -> bool:
    method get_order_status (line 354) | async def get_order_status(self, order_id: str) -> OrderStatus:
    method get_account_info (line 358) | async def get_account_info(self) -> Dict[str, Any]:
    method get_positions (line 367) | async def get_positions(self) -> List[Dict[str, Any]]:
  class InteractiveBrokersBroker (line 371) | class InteractiveBrokersBroker(BrokerInterface):
    method __init__ (line 374) | def __init__(self, host: str = "127.0.0.1", port: int = 7497, client_i...
    method submit_order (line 380) | async def submit_order(self, order: ExecutionOrder) -> ExecutionResult:
    method cancel_order (line 399) | async def cancel_order(self, order_id: str) -> bool:
    method get_order_status (line 404) | async def get_order_status(self, order_id: str) -> OrderStatus:
    method get_account_info (line 408) | async def get_account_info(self) -> Dict[str, Any]:
    method get_positions (line 417) | async def get_positions(self) -> List[Dict[str, Any]]:
  class ExecutionRouterAgent (line 421) | class ExecutionRouterAgent:
    method __init__ (line 432) | def __init__(self, execution_mode: ExecutionMode = ExecutionMode.PAPER):
    method _initialize_brokers (line 443) | def _initialize_brokers(self):
    method _select_broker (line 466) | def _select_broker(self, symbol: str, order_type: OrderType) -> str:
    method _generate_order_id (line 489) | def _generate_order_id(self) -> str:
    method submit_order (line 495) | async def submit_order(self, symbol: str, side: OrderSide, quantity: f...
    method cancel_order (line 549) | async def cancel_order(self, order_id: str) -> bool:
    method get_order_status (line 572) | async def get_order_status(self, order_id: str) -> Optional[OrderStatus]:
    method get_account_info (line 589) | async def get_account_info(self, broker_name: Optional[str] = None) ->...
    method get_positions (line 609) | async def get_positions(self, broker_name: Optional[str] = None) -> Di...
    method get_execution_summary (line 630) | def get_execution_summary(self) -> Dict[str, Any]:
    method set_execution_mode (line 655) | def set_execution_mode(self, mode: ExecutionMode):
    method get_orders (line 661) | def get_orders(self, status_filter: Optional[OrderStatus] = None) -> L...

FILE: agents/forecast_agent.py
  class ForecastAgent (line 25) | class ForecastAgent(BaseAgent):
    method __init__ (line 37) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 74) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 122) | def predict(self, context: AgentContext) -> AgentSignal:
    method _prepare_training_features (line 157) | def _prepare_training_features(self, data: pd.DataFrame) -> pd.DataFrame:
    method _calculate_rsi (line 216) | def _calculate_rsi(self, prices: pd.Series, period: int = 14) -> pd.Se...
    method _calculate_macd (line 228) | def _calculate_macd(self, prices: pd.Series, fast: int = 12, slow: int...
    method _train_price_models (line 238) | def _train_price_models(self, features: pd.DataFrame, data: pd.DataFra...
    method _train_volatility_models (line 285) | def _train_volatility_models(self, features: pd.DataFrame, data: pd.Da...
    method _generate_forecasts (line 333) | def _generate_forecasts(self, context: AgentContext) -> Dict[str, Any]:
    method _forecast_price (line 376) | def _forecast_price(self, features: pd.DataFrame) -> Dict[str, Any]:
    method _forecast_volatility (line 415) | def _forecast_volatility(self, features: pd.DataFrame) -> Dict[str, Any]:
    method _calculate_forecast_confidence (line 454) | def _calculate_forecast_confidence(self, price_forecast: Dict[str, Any...
    method _generate_forecast_signal (line 469) | def _generate_forecast_signal(self, analysis: Dict[str, Any], context:...
    method _simple_forecast_analysis (line 525) | def _simple_forecast_analysis(self, context: AgentContext) -> AgentSig...
    method _create_hold_signal (line 579) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 591) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/latent_pattern_agent.py
  class CompressionMethod (line 28) | class CompressionMethod(Enum):
  class PatternType (line 36) | class PatternType(Enum):
  class LatentPattern (line 47) | class LatentPattern:
  class CompressionMetrics (line 59) | class CompressionMetrics:
  class PatternInsight (line 72) | class PatternInsight:
  class LatentPatternAgent (line 84) | class LatentPatternAgent(BaseAgent):
    method __init__ (line 93) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 154) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 189) | def predict(self, context: AgentContext) -> AgentSignal:
    method _extract_features (line 225) | def _extract_features(self, data: pd.DataFrame) -> np.ndarray:
    method _train_compression_models (line 300) | def _train_compression_models(self, features: np.ndarray) -> None:
    method _initialize_pattern_detection (line 333) | def _initialize_pattern_detection(self) -> None:
    method _generate_latent_patterns (line 351) | def _generate_latent_patterns(self, features: np.ndarray, context: Age...
    method _detect_patterns (line 451) | def _detect_patterns(self) -> None:
    method _detect_trend_pattern (line 478) | def _detect_trend_pattern(self, pattern: LatentPattern) -> bool:
    method _detect_volatility_pattern (line 494) | def _detect_volatility_pattern(self, pattern: LatentPattern) -> bool:
    method _detect_regime_pattern (line 509) | def _detect_regime_pattern(self, pattern: LatentPattern) -> bool:
    method _create_pattern_insight (line 524) | def _create_pattern_insight(self, pattern: LatentPattern, pattern_type...
    method _generate_recommendations (line 543) | def _generate_recommendations(self, pattern_type: str) -> List[str]:
    method _generate_insights (line 575) | def _generate_insights(self) -> None:
    method _generate_pattern_signal (line 603) | def _generate_pattern_signal(self, context: AgentContext) -> AgentSignal:
    method _calculate_pattern_strength (line 649) | def _calculate_pattern_strength(self) -> float:
    method _create_hold_signal (line 667) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method get_latent_patterns (line 679) | def get_latent_patterns(self) -> List[LatentPattern]:
    method get_pattern_insights (line 683) | def get_pattern_insights(self) -> List[PatternInsight]:
    method get_compression_metrics (line 687) | def get_compression_metrics(self) -> List[CompressionMetrics]:
    method get_pattern_analysis (line 691) | def get_pattern_analysis(self) -> Dict[str, Any]:

FILE: agents/llm_explain_agent.py
  class ExplanationType (line 12) | class ExplanationType(str, Enum):
  class ExplanationTone (line 20) | class ExplanationTone(str, Enum):
  class ExplanationRequest (line 27) | class ExplanationRequest:
  class ExplanationResponse (line 36) | class ExplanationResponse:
  class TradeExplanation (line 48) | class TradeExplanation:
  class PerformanceExplanation (line 60) | class PerformanceExplanation:
  class MarketAnalysisExplanation (line 70) | class MarketAnalysisExplanation:
  class LLMExplainAgent (line 79) | class LLMExplainAgent:
    method __init__ (line 80) | def __init__(self):
    method _load_explanation_templates (line 85) | def _load_explanation_templates(self) -> Dict[str, Dict[str, str]]:
    method _load_metric_formatters (line 262) | def _load_metric_formatters(self) -> Dict[str, str]:
    method explain_trade_decision (line 272) | async def explain_trade_decision(self, trade_data: Dict[str, Any], ton...
    method explain_agent_performance (line 329) | async def explain_agent_performance(self, agent_data: Dict[str, Any], ...
    method explain_market_analysis (line 382) | async def explain_market_analysis(self, market_data: Dict[str, Any], t...
    method _generate_decision_rationale (line 445) | def _generate_decision_rationale(self, trade_data: Dict[str, Any]) -> ...
    method _generate_risk_analysis (line 460) | def _generate_risk_analysis(self, trade_data: Dict[str, Any]) -> str:
    method _generate_opportunity_analysis (line 474) | def _generate_opportunity_analysis(self, trade_data: Dict[str, Any]) -...
    method _generate_market_context (line 488) | def _generate_market_context(self, trade_data: Dict[str, Any]) -> str:
    method _generate_agent_contributions (line 507) | def _generate_agent_contributions(self, trade_data: Dict[str, Any]) ->...
    method _generate_confidence_analysis (line 531) | def _generate_confidence_analysis(self, trade_data: Dict[str, Any]) ->...
    method _generate_performance_summary (line 550) | def _generate_performance_summary(self, agent_data: Dict[str, Any]) ->...
    method _generate_agent_strengths (line 567) | def _generate_agent_strengths(self, agent_data: Dict[str, Any]) -> str:
    method _generate_agent_weaknesses (line 595) | def _generate_agent_weaknesses(self, agent_data: Dict[str, Any]) -> str:
    method _generate_market_conditions_analysis (line 619) | def _generate_market_conditions_analysis(self, agent_data: Dict[str, A...
    method _generate_peer_comparison (line 627) | def _generate_peer_comparison(self, agent_data: Dict[str, Any]) -> str:
    method _generate_improvement_suggestions (line 643) | def _generate_improvement_suggestions(self, agent_data: Dict[str, Any]...
    method _generate_regime_explanation (line 669) | def _generate_regime_explanation(self, market_data: Dict[str, Any]) ->...
    method _generate_key_drivers (line 684) | def _generate_key_drivers(self, market_data: Dict[str, Any]) -> str:
    method _generate_risk_factors (line 697) | def _generate_risk_factors(self, market_data: Dict[str, Any]) -> str:
    method _generate_opportunity_areas (line 710) | def _generate_opportunity_areas(self, market_data: Dict[str, Any]) -> ...
    method _generate_historical_context (line 723) | def _generate_historical_context(self, market_data: Dict[str, Any]) ->...
    method _generate_forward_looking (line 727) | def _generate_forward_looking(self, market_data: Dict[str, Any]) -> str:
    method _generate_trade_recommendations (line 731) | def _generate_trade_recommendations(self, trade_data: Dict[str, Any]) ...
    method _generate_agent_recommendations (line 740) | def _generate_agent_recommendations(self, agent_data: Dict[str, Any]) ...
    method _generate_market_recommendations (line 749) | def _generate_market_recommendations(self, market_data: Dict[str, Any]...
    method generate_explanation (line 758) | async def generate_explanation(self, request: ExplanationRequest) -> E...
    method get_explanation_summary (line 771) | async def get_explanation_summary(self) -> Dict[str, Any]:

FILE: agents/meta_agent.py
  class MarketRegime (line 22) | class MarketRegime(Enum):
  class MetaStrategy (line 32) | class MetaStrategy(Enum):
  class RegimeAnalysis (line 45) | class RegimeAnalysis:
  class StrategyPerformance (line 58) | class StrategyPerformance:
  class MetaAgent (line 69) | class MetaAgent(BaseAgent):
    method __init__ (line 81) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 128) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 154) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_market_regime (line 189) | def _analyze_market_regime(self, context: AgentContext) -> RegimeAnaly...
    method _calculate_trend_strength (line 288) | def _calculate_trend_strength(self, prices: pd.Series) -> float:
    method _calculate_momentum (line 314) | def _calculate_momentum(self, prices: pd.Series) -> float:
    method _analyze_volume_profile (line 333) | def _analyze_volume_profile(self, data: pd.DataFrame, volume_col: str)...
    method _identify_key_levels (line 358) | def _identify_key_levels(self, prices: pd.Series, high_col: str, low_c...
    method _classify_regime (line 384) | def _classify_regime(self, volatility: float, trend: float, momentum: ...
    method _calculate_regime_confidence (line 413) | def _calculate_regime_confidence(self, volatility: float, trend: float...
    method _estimate_regime_duration (line 437) | def _estimate_regime_duration(self, regime: MarketRegime) -> int:
    method _select_optimal_strategy (line 456) | def _select_optimal_strategy(self, regime_analysis: RegimeAnalysis, co...
    method _should_switch_strategy (line 505) | def _should_switch_strategy(self, regime_analysis: RegimeAnalysis) -> ...
    method _get_strategy_performance (line 525) | def _get_strategy_performance(self, strategy: MetaStrategy) -> Optiona...
    method _calculate_strategy_confidence (line 544) | def _calculate_strategy_confidence(self, regime_analysis: RegimeAnalys...
    method _generate_meta_signal (line 563) | def _generate_meta_signal(self, regime_analysis: RegimeAnalysis, strat...
    method _determine_meta_signal_type (line 618) | def _determine_meta_signal_type(self, regime_analysis: RegimeAnalysis,...
    method _simple_meta_analysis (line 658) | def _simple_meta_analysis(self, context: AgentContext) -> AgentSignal:
    method _create_hold_signal (line 708) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 720) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/meta_evaluation_agent.py
  class PerformanceMetric (line 24) | class PerformanceMetric(Enum):
  class RegimeType (line 35) | class RegimeType(Enum):
  class AgentPerformance (line 45) | class AgentPerformance:
  class AgentRanking (line 62) | class AgentRanking:
  class RotationDecision (line 73) | class RotationDecision:
  class MetaEvaluationAgent (line 83) | class MetaEvaluationAgent(BaseAgent):
    method __init__ (line 92) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 156) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 192) | def predict(self, context: AgentContext) -> AgentSignal:
    method _initialize_agent_rankings (line 230) | def _initialize_agent_rankings(self) -> None:
    method _update_regime_detection (line 255) | def _update_regime_detection(self, context: AgentContext) -> None:
    method _evaluate_agent_performance (line 287) | def _evaluate_agent_performance(self, context: AgentContext) -> None:
    method _update_agent_rankings (line 321) | def _update_agent_rankings(self) -> None:
    method _calculate_overall_score (line 353) | def _calculate_overall_score(self, performances: List[AgentPerformance...
    method _calculate_regime_scores (line 388) | def _calculate_regime_scores(self, agent_name: str) -> Dict[str, float]:
    method _calculate_performance_trend (line 410) | def _calculate_performance_trend(self, agent_name: str) -> str:
    method _generate_recommendations (line 438) | def _generate_recommendations(self, agent_name: str, overall_score: fl...
    method _make_rotation_decisions (line 468) | def _make_rotation_decisions(self) -> None:
    method _generate_meta_evaluation_signal (line 527) | def _generate_meta_evaluation_signal(self, context: AgentContext) -> A...
    method _calculate_system_health (line 572) | def _calculate_system_health(self) -> float:
    method _create_hold_signal (line 596) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method get_agent_rankings (line 608) | def get_agent_rankings(self) -> Dict[str, AgentRanking]:
    method get_rotation_decisions (line 612) | def get_rotation_decisions(self) -> List[RotationDecision]:
    method get_system_health (line 616) | def get_system_health(self) -> Dict[str, Any]:
    method get_performance_analytics (line 633) | def get_performance_analytics(self) -> Dict[str, Any]:

FILE: agents/momentum_agent.py
  class MomentumAgent (line 30) | class MomentumAgent(BaseAgent):
    method __init__ (line 38) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 83) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 181) | def predict(self, context: AgentContext) -> AgentSignal:
    method update_model (line 258) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...
    method _prepare_training_data (line 292) | def _prepare_training_data(self, data: pd.DataFrame) -> pd.DataFrame:
    method _extract_momentum_features (line 332) | def _extract_momentum_features(self, data: pd.DataFrame) -> pd.DataFrame:
    method _prepare_targets (line 398) | def _prepare_targets(self, data: pd.DataFrame) -> pd.Series:
    method _train_lstm_model (line 412) | def _train_lstm_model(self, features_df: pd.DataFrame, targets: pd.Ser...
    method _train_arima_model (line 466) | def _train_arima_model(self, data: pd.DataFrame) -> Dict[str, Any]:
    method _predict_lstm (line 499) | def _predict_lstm(self, features: pd.DataFrame) -> Optional[float]:
    method _predict_arima (line 517) | def _predict_arima(self, data: pd.DataFrame) -> Optional[float]:
    method _combine_predictions (line 542) | def _combine_predictions(self, lstm_pred: Optional[float], arima_pred:...
    method _generate_signal (line 567) | def _generate_signal(self, prediction: float, features: pd.DataFrame, ...
    method _simple_rule_based_prediction (line 617) | def _simple_rule_based_prediction(self, context: AgentContext) -> Agen...
    method _create_hold_signal (line 683) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method _calculate_rsi (line 695) | def _calculate_rsi(self, prices: pd.Series, window: int = 14) -> pd.Se...
    method _calculate_bollinger_bands (line 704) | def _calculate_bollinger_bands(self, prices: pd.Series, window: int = ...
    method get_performance_summary (line 712) | def get_performance_summary(self) -> Dict[str, Any]:

FILE: agents/position_tracker_agent.py
  class PositionType (line 20) | class PositionType(Enum):
  class MarginType (line 27) | class MarginType(Enum):
  class Position (line 34) | class Position:
  class PortfolioMetrics (line 59) | class PortfolioMetrics:
  class RiskMetrics (line 83) | class RiskMetrics:
  class PositionTrackerAgent (line 94) | class PositionTrackerAgent:
    method __init__ (line 106) | def __init__(self, execution_router=None):
    method update_positions_from_brokers (line 125) | async def update_positions_from_brokers(self):
    method _process_broker_position (line 157) | async def _process_broker_position(self, pos_data: Dict[str, Any], bro...
    method _get_current_price (line 218) | async def _get_current_price(self, symbol: str) -> float:
    method _update_portfolio_metrics (line 249) | async def _update_portfolio_metrics(self):
    method _update_risk_metrics (line 326) | async def _update_risk_metrics(self):
    method _save_portfolio_snapshot (line 395) | def _save_portfolio_snapshot(self):
    method get_position_summary (line 418) | async def get_position_summary(self) -> Dict[str, Any]:
    method get_positions_by_broker (line 430) | async def get_positions_by_broker(self) -> Dict[str, List[Position]]:
    method get_risk_alerts (line 442) | async def get_risk_alerts(self) -> List[str]:
    method get_rebalancing_recommendations (line 467) | async def get_rebalancing_recommendations(self, target_weights: Dict[s...
    method get_performance_attribution (line 518) | def get_performance_attribution(self, days: int = 30) -> Dict[str, Any]:

FILE: agents/rag_event_agent.py
  class NewsDocument (line 34) | class NewsDocument:
  class RAGContext (line 47) | class RAGContext:
  class RAGEventAgent (line 56) | class RAGEventAgent(BaseAgent):
    method __init__ (line 67) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 117) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 154) | def predict(self, context: AgentContext) -> AgentSignal:
    method _initialize_document_store (line 189) | def _initialize_document_store(self) -> None:
    method _load_vector_database (line 240) | def _load_vector_database(self) -> None:
    method _save_vector_database (line 255) | def _save_vector_database(self) -> None:
    method _ingest_initial_news (line 266) | def _ingest_initial_news(self) -> None:
    method _ingest_news_from_source (line 286) | def _ingest_news_from_source(self, source_url: str) -> None:
    method _generate_embedding (line 325) | def _generate_embedding(self, text: str) -> List[float]:
    method _update_news_if_needed (line 352) | def _update_news_if_needed(self) -> None:
    method _perform_rag_analysis (line 368) | def _perform_rag_analysis(self, context: AgentContext) -> RAGContext:
    method _retrieve_relevant_documents (line 415) | def _retrieve_relevant_documents(self, query: str) -> List[NewsDocument]:
    method _calculate_cosine_similarity (line 450) | def _calculate_cosine_similarity(self, vec1: List[float], vec2: List[f...
    method _query_llm (line 469) | def _query_llm(self, query: str, relevant_docs: List[NewsDocument], co...
    method _generate_llm_response_simulation (line 509) | def _generate_llm_response_simulation(self, prompt: str, relevant_docs...
    method _generate_fallback_response (line 550) | def _generate_fallback_response(self, relevant_docs: List[NewsDocument...
    method _calculate_rag_confidence (line 569) | def _calculate_rag_confidence(self, relevant_docs: List[NewsDocument],...
    method _generate_rag_reasoning (line 594) | def _generate_rag_reasoning(self, relevant_docs: List[NewsDocument], l...
    method _generate_rag_signal (line 627) | def _generate_rag_signal(self, rag_context: RAGContext, context: Agent...
    method _simple_event_analysis (line 682) | def _simple_event_analysis(self, context: AgentContext) -> AgentSignal:
    method _create_hold_signal (line 714) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 726) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/rebalance_agent.py
  class RebalanceStrategy (line 20) | class RebalanceStrategy(Enum):
  class RebalanceTrigger (line 28) | class RebalanceTrigger(Enum):
  class TargetAllocation (line 37) | class TargetAllocation:
    method __post_init__ (line 48) | def __post_init__(self):
  class RebalanceOrder (line 53) | class RebalanceOrder:
  class RebalancePlan (line 68) | class RebalancePlan:
  class RebalanceAgent (line 81) | class RebalanceAgent:
    method __init__ (line 93) | def __init__(self, execution_router=None, position_tracker=None, risk_...
    method _initialize_default_allocations (line 113) | def _initialize_default_allocations(self):
    method check_rebalance_needed (line 128) | async def check_rebalance_needed(self) -> Tuple[bool, str]:
    method _is_time_based_rebalance_needed (line 158) | def _is_time_based_rebalance_needed(self) -> bool:
    method _is_threshold_based_rebalance_needed (line 168) | def _is_threshold_based_rebalance_needed(self) -> bool:
    method _is_volatility_based_rebalance_needed (line 185) | def _is_volatility_based_rebalance_needed(self) -> bool:
    method create_rebalance_plan (line 195) | async def create_rebalance_plan(self, strategy: RebalanceStrategy = Re...
    method _create_target_weight_orders (line 260) | async def _create_target_weight_orders(self, positions: Dict[str, Any]...
    method _create_risk_parity_orders (line 313) | async def _create_risk_parity_orders(self, positions: Dict[str, Any], ...
    method _create_momentum_orders (line 371) | async def _create_momentum_orders(self, positions: Dict[str, Any], por...
    method _create_volatility_targeting_orders (line 436) | async def _create_volatility_targeting_orders(self, positions: Dict[st...
    method _calculate_rebalance_impact (line 497) | def _calculate_rebalance_impact(self, orders: List[RebalanceOrder], po...
    method execute_rebalance_plan (line 510) | async def execute_rebalance_plan(self, plan: RebalancePlan) -> Dict[st...
    method get_rebalance_summary (line 588) | async def get_rebalance_summary(self) -> Dict[str, Any]:
    method update_target_allocation (line 608) | def update_target_allocation(self, symbol: str, target_weight: float,
    method set_rebalance_parameters (line 635) | def set_rebalance_parameters(self, threshold: float = None, min_trade_...

FILE: agents/report_agent.py
  class ReportType (line 15) | class ReportType(str, Enum):
  class ReportFormat (line 23) | class ReportFormat(str, Enum):
  class TradeOutcome (line 30) | class TradeOutcome:
  class AgentPerformance (line 47) | class AgentPerformance:
  class ForecastError (line 60) | class ForecastError:
  class MarketRegimeAnalysis (line 71) | class MarketRegimeAnalysis:
  class ReportSummary (line 82) | class ReportSummary:
  class ReportConfig (line 100) | class ReportConfig:
  class ReportAgent (line 109) | class ReportAgent:
    method __init__ (line 110) | def __init__(self, real_data_service: RealDataService):
    method generate_daily_report (line 119) | async def generate_daily_report(self, date: Optional[str] = None) -> R...
    method generate_weekly_report (line 138) | async def generate_weekly_report(self, week_start: Optional[str] = Non...
    method generate_trade_based_report (line 157) | async def generate_trade_based_report(self, trade_ids: List[str]) -> R...
    method generate_agent_performance_report (line 173) | async def generate_agent_performance_report(self) -> ReportSummary:
    method _get_trades_for_period (line 189) | async def _get_trades_for_period(self, start_date: str, days: int) -> ...
    method _calculate_report_summary (line 202) | async def _calculate_report_summary(
    method _analyze_agent_performance (line 256) | def _analyze_agent_performance(self, trades: List[TradeOutcome]) -> Di...
    method _analyze_market_regimes (line 287) | def _analyze_market_regimes(self, trades: List[TradeOutcome]) -> List[...
    method _get_forecast_errors_for_period (line 327) | def _get_forecast_errors_for_period(self, trades: List[TradeOutcome]) ...
    method add_trade_outcome (line 340) | async def add_trade_outcome(self, trade: TradeOutcome):
    method add_forecast_error (line 345) | async def add_forecast_error(self, error: ForecastError):
    method update_agent_performance (line 350) | async def update_agent_performance(self, agent_name: str, performance:...
    method get_report_summary (line 355) | async def get_report_summary(self) -> Dict[str, Any]:
    method generate_mock_data (line 365) | async def generate_mock_data(self):

FILE: agents/risk_agent.py
  class RiskAgent (line 22) | class RiskAgent(BaseAgent):
    method __init__ (line 34) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 67) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 93) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_risk (line 125) | def _analyze_risk(self, context: AgentContext) -> Dict[str, Any]:
    method _calculate_risk_metrics (line 168) | def _calculate_risk_metrics(self, context: AgentContext) -> Dict[str, ...
    method _analyze_risk_regime (line 231) | def _analyze_risk_regime(self, risk_metrics: Dict[str, float]) -> Dict...
    method _calculate_risk_adjusted_returns (line 277) | def _calculate_risk_adjusted_returns(self, risk_metrics: Dict[str, flo...
    method _assess_portfolio_risk (line 324) | def _assess_portfolio_risk(self, symbol: str, risk_metrics: Dict[str, ...
    method _calculate_risk_confidence (line 364) | def _calculate_risk_confidence(self, risk_metrics: Dict[str, float]) -...
    method _generate_risk_signal (line 397) | def _generate_risk_signal(self, analysis: Dict[str, Any], context: Age...
    method _simple_risk_analysis (line 452) | def _simple_risk_analysis(self, context: AgentContext) -> AgentSignal:
    method _create_hold_signal (line 502) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 514) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/risk_control_agent.py
  class RiskLevel (line 20) | class RiskLevel(Enum):
  class RiskType (line 27) | class RiskType(Enum):
  class RiskLimit (line 39) | class RiskLimit:
    method __post_init__ (line 48) | def __post_init__(self):
  class RiskAlert (line 53) | class RiskAlert:
  class RiskMetrics (line 66) | class RiskMetrics:
  class RiskControlAgent (line 87) | class RiskControlAgent:
    method __init__ (line 100) | def __init__(self, position_tracker=None):
    method _initialize_default_limits (line 121) | def _initialize_default_limits(self):
    method validate_order (line 174) | async def validate_order(self, symbol: str, side: str, quantity: float,
    method update_risk_metrics (line 220) | async def update_risk_metrics(self):
    method _calculate_correlation_risk (line 334) | async def _calculate_correlation_risk(self, positions: Dict[str, Any])...
    method _calculate_concentration_risk (line 355) | async def _calculate_concentration_risk(self, positions: Dict[str, Any...
    method _calculate_liquidity_risk (line 369) | async def _calculate_liquidity_risk(self, positions: Dict[str, Any]) -...
    method _update_risk_limits (line 383) | def _update_risk_limits(self):
    method _check_risk_alerts (line 401) | async def _check_risk_alerts(self):
    method _get_risk_recommendation (line 454) | def _get_risk_recommendation(self, risk_type: RiskType) -> str:
    method get_risk_summary (line 469) | async def get_risk_summary(self) -> Dict[str, Any]:
    method get_risk_alerts (line 489) | async def get_risk_alerts(self, severity: Optional[RiskLevel] = None) ...
    method acknowledge_alert (line 498) | def acknowledge_alert(self, alert_id: str) -> bool:
    method update_risk_limit (line 506) | def update_risk_limit(self, risk_type: RiskType, new_limit: float, thr...
    method enable_risk_limit (line 514) | def enable_risk_limit(self, risk_type: RiskType):
    method disable_risk_limit (line 520) | def disable_risk_limit(self, risk_type: RiskType):
    method get_position_sizing_recommendation (line 526) | async def get_position_sizing_recommendation(self, symbol: str, signal...

FILE: agents/rl_strategy_agent.py
  class RLAction (line 25) | class RLAction(Enum):
  class RLAlgorithm (line 34) | class RLAlgorithm(Enum):
  class RLState (line 42) | class RLState:
  class RLReward (line 54) | class RLReward:
  class RLExperience (line 64) | class RLExperience:
  class RLStrategyAgent (line 74) | class RLStrategyAgent(BaseAgent):
    method __init__ (line 82) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 156) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 197) | def predict(self, context: AgentContext) -> AgentSignal:
    method _initialize_model (line 236) | def _initialize_model(self) -> None:
    method _initialize_ppo_model (line 252) | def _initialize_ppo_model(self) -> None:
    method _initialize_dqn_model (line 278) | def _initialize_dqn_model(self) -> None:
    method _simulate_training_episodes (line 310) | def _simulate_training_episodes(self, training_data: pd.DataFrame, con...
    method _create_state_from_context (line 381) | def _create_state_from_context(self, context: AgentContext) -> RLState:
    method _create_default_state (line 437) | def _create_default_state(self) -> RLState:
    method _create_random_state (line 449) | def _create_random_state(self) -> RLState:
    method _get_action (line 477) | def _get_action(self, state: RLState) -> RLAction:
    method _get_ppo_action (line 491) | def _get_ppo_action(self, state: RLState) -> RLAction:
    method _get_dqn_action (line 516) | def _get_dqn_action(self, state: RLState) -> RLAction:
    method _extract_features (line 539) | def _extract_features(self, state: RLState) -> Dict[str, float]:
    method _calculate_q_value (line 567) | def _calculate_q_value(self, state: RLState, action: RLAction) -> float:
    method _action_to_signal (line 608) | def _action_to_signal(self, action: RLAction, context: AgentContext) -...
    method _simulate_reward (line 657) | def _simulate_reward(self, action: RLAction, state: RLState) -> RLReward:
    method _store_experience (line 699) | def _store_experience(self, state: RLState, action: RLAction, context:...
    method _add_experience (line 720) | def _add_experience(self, experience: RLExperience) -> None:
    method _update_model (line 739) | def _update_model(self) -> None:
    method _update_ppo_model (line 763) | def _update_ppo_model(self, batch: List[RLExperience]) -> None:
    method _update_dqn_model (line 782) | def _update_dqn_model(self, batch: List[RLExperience]) -> None:
    method _update_target_network (line 801) | def _update_target_network(self) -> None:
    method _calculate_convergence (line 812) | def _calculate_convergence(self, episode_rewards: List[float]) -> bool:
    method _random_policy_signal (line 832) | def _random_policy_signal(self, context: AgentContext) -> AgentSignal:
    method _create_hold_signal (line 842) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method _calculate_rsi (line 854) | def _calculate_rsi(self, prices: pd.Series, period: int = 14) -> float:
    method _calculate_macd (line 873) | def _calculate_macd(self, prices: pd.Series) -> float:
    method _calculate_bollinger_bands (line 889) | def _calculate_bollinger_bands(self, prices: pd.Series, period: int = ...
    method _calculate_volume_ratio (line 910) | def _calculate_volume_ratio(self, market_data: pd.DataFrame) -> float:
    method _calculate_price_momentum (line 931) | def _calculate_price_momentum(self, prices: pd.Series, period: int = 1...
    method _calculate_trend_strength (line 944) | def _calculate_trend_strength(self, prices: pd.Series, period: int = 2...
    method save_model (line 968) | def save_model(self) -> bool:
    method load_model (line 993) | def load_model(self) -> bool:
    method update_model (line 1019) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...
    method get_training_stats (line 1042) | def get_training_stats(self) -> Dict[str, Any]:

FILE: agents/sentiment_agent.py
  class SentimentAgent (line 24) | class SentimentAgent(BaseAgent):
    method __init__ (line 35) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 76) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 102) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_sentiment (line 134) | def _analyze_sentiment(self, context: AgentContext) -> Dict[str, float]:
    method _analyze_news_sentiment (line 175) | def _analyze_news_sentiment(self, symbol: str) -> Dict[str, Any]:
    method _fetch_news_articles (line 216) | def _fetch_news_articles(self, symbol: str) -> List[Dict[str, str]]:
    method _is_relevant_article (line 260) | def _is_relevant_article(self, entry: Dict, symbol: str) -> bool:
    method _analyze_article_sentiment (line 279) | def _analyze_article_sentiment(self, article: Dict[str, str]) -> float:
    method _analyze_social_sentiment (line 312) | def _analyze_social_sentiment(self, symbol: str) -> Dict[str, Any]:
    method _calculate_sentiment_trend (line 344) | def _calculate_sentiment_trend(self) -> str:
    method _generate_sentiment_signal (line 368) | def _generate_sentiment_signal(self, sentiment: Dict[str, float], cont...
    method _simple_sentiment_analysis (line 415) | def _simple_sentiment_analysis(self, context: AgentContext) -> AgentSi...
    method _create_hold_signal (line 466) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 478) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/strategy_agent.py
  class StrategyType (line 22) | class StrategyType(Enum):
  class SignalWeight (line 32) | class SignalWeight(Enum):
  class SignalAggregation (line 41) | class SignalAggregation:
  class StrategyAgent (line 53) | class StrategyAgent(BaseAgent):
    method __init__ (line 65) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 114) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 140) | def predict(self, context: AgentContext) -> AgentSignal:
    method _get_agent_signals (line 178) | def _get_agent_signals(self, context: AgentContext) -> List[AgentSignal]:
    method _simulate_agent_signal (line 212) | def _simulate_agent_signal(self, agent_name: str, context: AgentContex...
    method _aggregate_signals (line 295) | def _aggregate_signals(self, signals: List[AgentSignal]) -> SignalAggr...
    method _apply_strategy_logic (line 396) | def _apply_strategy_logic(self, aggregation: SignalAggregation, contex...
    method _determine_market_regime (line 440) | def _determine_market_regime(self, context: AgentContext) -> str:
    method _select_strategy_type (line 476) | def _select_strategy_type(self, aggregation: SignalAggregation, market...
    method _calculate_position_size (line 497) | def _calculate_position_size(self, aggregation: SignalAggregation, str...
    method _apply_risk_adjustments (line 518) | def _apply_risk_adjustments(self, aggregation: SignalAggregation, cont...
    method _generate_strategy_signal (line 542) | def _generate_strategy_signal(self, strategy_decision: Dict[str, Any],...
    method _simple_strategy_analysis (line 588) | def _simple_strategy_analysis(self, context: AgentContext) -> AgentSig...
    method _create_hold_signal (line 640) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 652) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/swing_forecast_agent.py
  class SwingHorizon (line 27) | class SwingHorizon(Enum):
  class MarketRegime (line 33) | class MarketRegime(Enum):
  class EventImpact (line 43) | class EventImpact(Enum):
  class MarketEvent (line 51) | class MarketEvent:
  class MacroIndicator (line 63) | class MacroIndicator:
  class SwingForecast (line 74) | class SwingForecast:
  class SwingForecastMetrics (line 95) | class SwingForecastMetrics:
  class SwingForecastAgent (line 112) | class SwingForecastAgent:
    method __init__ (line 124) | def __init__(self, real_data_service=None):
    method _initialize_models (line 148) | def _initialize_models(self):
    method _initialize_events (line 163) | def _initialize_events(self):
    method _initialize_macro_indicators (line 201) | def _initialize_macro_indicators(self):
    method _detect_market_regime (line 253) | def _detect_market_regime(self, data: pd.DataFrame) -> MarketRegime:
    method _calculate_technical_score (line 297) | def _calculate_technical_score(self, data: pd.DataFrame) -> float:
    method _calculate_fundamental_score (line 375) | def _calculate_fundamental_score(self, symbol: str) -> float:
    method _calculate_sentiment_score (line 405) | def _calculate_sentiment_score(self, symbol: str) -> float:
    method _get_relevant_events (line 435) | def _get_relevant_events(self, symbol: str, horizon_days: int) -> List...
    method _calculate_event_impact (line 459) | def _calculate_event_impact(self, events: List[MarketEvent]) -> float:
    method _calculate_macro_impact (line 492) | def _calculate_macro_impact(self) -> float:
    method generate_forecast (line 516) | async def generate_forecast(self, symbol: str, horizon: SwingHorizon =...
    method _get_horizon_days (line 623) | def _get_horizon_days(self, horizon: SwingHorizon) -> int:
    method _get_market_data (line 632) | async def _get_market_data(self, symbol: str, periods: int = 100) -> O...
    method _generate_mock_data (line 652) | def _generate_mock_data(self, symbol: str, periods: int) -> pd.DataFrame:
    method _predict_price (line 709) | async def _predict_price(self, symbol: str, data: pd.DataFrame, horizo...
    method _prepare_features (line 757) | def _prepare_features(self, data: pd.DataFrame, technical_score: float...
    method _simple_swing_prediction (line 817) | def _simple_swing_prediction(self, data: pd.DataFrame, technical_score...
    method _calculate_confidence (line 850) | def _calculate_confidence(self, technical_score: float, fundamental_sc...
    method _calculate_risk_score (line 883) | def _calculate_risk_score(self, technical_score: float, market_regime:...
    method _calculate_targets (line 915) | def _calculate_targets(self, current_price: float, predicted_price: fl...
    method get_forecast_summary (line 946) | async def get_forecast_summary(self) -> Dict[str, Any]:
    method _update_metrics (line 971) | async def _update_metrics(self):
    method get_forecast (line 1030) | async def get_forecast(self, symbol: str, horizon: str = "medium_swing...

FILE: agents/ticker_ranker_agent.py
  class RankingCriteria (line 30) | class RankingCriteria(Enum):
  class RankingWeight (line 41) | class RankingWeight(Enum):
  class RankingScore (line 48) | class RankingScore:
  class RankedOpportunity (line 57) | class RankedOpportunity:
  class TickerRankerSummary (line 73) | class TickerRankerSummary:
  class TickerRankerAgent (line 86) | class TickerRankerAgent:
    method __init__ (line 89) | def __init__(self, real_data_service: Optional[RealDataService] = None):
    method rank_opportunities (line 119) | async def rank_opportunities(self, scan_results: List[ScanResult]) -> ...
    method _rank_opportunity (line 156) | async def _rank_opportunity(self, scan_result: ScanResult, initial_ran...
    method _calculate_sharpe_score (line 236) | def _calculate_sharpe_score(self, symbol: str, data: pd.DataFrame) -> ...
    method _calculate_confidence_score (line 279) | def _calculate_confidence_score(self, scan_result: ScanResult) -> Rank...
    method _calculate_risk_adjusted_return_score (line 313) | def _calculate_risk_adjusted_return_score(self, symbol: str, data: pd....
    method _calculate_technical_strength_score (line 355) | def _calculate_technical_strength_score(self, symbol: str, data: pd.Da...
    method _calculate_fundamental_score (line 419) | def _calculate_fundamental_score(self, symbol: str, data: pd.DataFrame...
    method _calculate_sector_momentum_score (line 458) | def _calculate_sector_momentum_score(self, symbol: str, data: pd.DataF...
    method _calculate_volatility_score (line 490) | def _calculate_volatility_score(self, symbol: str, data: pd.DataFrame)...
    method _calculate_liquidity_score (line 530) | def _calculate_liquidity_score(self, symbol: str, data: pd.DataFrame) ...
    method _calculate_expected_return (line 567) | def _calculate_expected_return(self, symbol: str, data: pd.DataFrame) ...
    method _calculate_max_drawdown (line 582) | def _calculate_max_drawdown(self, symbol: str, data: pd.DataFrame) -> ...
    method _calculate_sharpe_ratio (line 606) | def _calculate_sharpe_ratio(self, symbol: str, data: pd.DataFrame) -> ...
    method _determine_risk_level (line 624) | def _determine_risk_level(self, volatility_score: float, max_drawdown:...
    method _generate_recommendation (line 641) | def _generate_recommendation(self, overall_score: float, risk_level: s...
    method _get_market_data (line 661) | async def _get_market_data(self, symbol: str, periods: int = 100) -> O...
    method _generate_mock_data (line 681) | def _generate_mock_data(self, symbol: str, periods: int) -> pd.DataFrame:
    method get_ranking_summary (line 743) | async def get_ranking_summary(self) -> TickerRankerSummary:
    method get_top_ranked_opportunities (line 794) | def get_top_ranked_opportunities(self, limit: int = 5) -> List[RankedO...
    method get_opportunities_by_risk_level (line 798) | def get_opportunities_by_risk_level(self, risk_level: str) -> List[Ran...
    method get_opportunities_by_recommendation (line 802) | def get_opportunities_by_recommendation(self, recommendation: str) -> ...

FILE: agents/ticker_scanner_agent.py
  class ScanTrigger (line 27) | class ScanTrigger(Enum):
  class ScanPriority (line 38) | class ScanPriority(Enum):
  class ScanResult (line 45) | class ScanResult:
  class TickerScannerSummary (line 57) | class TickerScannerSummary:
  class TickerScannerAgent (line 70) | class TickerScannerAgent:
    method __init__ (line 73) | def __init__(self, real_data_service: Optional[RealDataService] = None):
    method scan_market_universe (line 128) | async def scan_market_universe(self, sector: Optional[str] = None) -> ...
    method scan_sector_opportunities (line 169) | async def scan_sector_opportunities(self, sector: str) -> List[ScanRes...
    method scan_all_sectors (line 215) | async def scan_all_sectors(self) -> Dict[str, List[ScanResult]]:
    method _scan_batch (line 229) | async def _scan_batch(self, symbols: List[str]) -> List[ScanResult]:
    method _scan_symbol (line 243) | async def _scan_symbol(self, symbol: str) -> List[ScanResult]:
    method _check_volatility_trigger (line 283) | def _check_volatility_trigger(self, symbol: str, data: pd.DataFrame) -...
    method _check_volume_trigger (line 324) | def _check_volume_trigger(self, symbol: str, data: pd.DataFrame) -> Op...
    method _check_breakout_trigger (line 363) | def _check_breakout_trigger(self, symbol: str, data: pd.DataFrame) -> ...
    method _check_momentum_trigger (line 427) | def _check_momentum_trigger(self, symbol: str, data: pd.DataFrame) -> ...
    method _check_news_trigger (line 480) | def _check_news_trigger(self, symbol: str) -> Optional[ScanResult]:
    method _get_market_data (line 518) | async def _get_market_data(self, symbol: str, periods: int = 50) -> Op...
    method _generate_mock_data (line 538) | def _generate_mock_data(self, symbol: str, periods: int) -> pd.DataFrame:
    method get_scan_summary (line 600) | async def get_scan_summary(self) -> TickerScannerSummary:
    method get_top_opportunities (line 644) | def get_top_opportunities(self, limit: int = 5) -> List[ScanResult]:
    method get_opportunities_by_sector (line 648) | def get_opportunities_by_sector(self, sector: str) -> List[ScanResult]:
    method get_opportunities_by_trigger (line 652) | def get_opportunities_by_trigger(self, trigger: ScanTrigger) -> List[S...

FILE: agents/volatility_agent.py
  class VolatilityAgent (line 22) | class VolatilityAgent(BaseAgent):
    method __init__ (line 34) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 67) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 93) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_volatility (line 125) | def _analyze_volatility(self, context: AgentContext) -> Dict[str, Any]:
    method _calculate_volatility_metrics (line 173) | def _calculate_volatility_metrics(self, context: AgentContext) -> Dict...
    method _calculate_ewma_volatility (line 235) | def _calculate_ewma_volatility(self, returns: pd.Series, alpha: float)...
    method _calculate_garch_volatility (line 254) | def _calculate_garch_volatility(self, returns: pd.Series) -> float:
    method _calculate_parkinson_volatility (line 279) | def _calculate_parkinson_volatility(self, high: pd.Series, low: pd.Ser...
    method _calculate_volatility_of_volatility (line 295) | def _calculate_volatility_of_volatility(self, returns: pd.Series) -> f...
    method _calculate_volatility_percentile (line 314) | def _calculate_volatility_percentile(self, current_vol: float) -> float:
    method _analyze_volatility_regime (line 329) | def _analyze_volatility_regime(self, volatility_metrics: Dict[str, flo...
    method _detect_volatility_clustering (line 374) | def _detect_volatility_clustering(self, volatility_metrics: Dict[str, ...
    method _forecast_volatility (line 409) | def _forecast_volatility(self, volatility_metrics: Dict[str, float]) -...
    method _analyze_mean_reversion (line 446) | def _analyze_mean_reversion(self, volatility_metrics: Dict[str, float]...
    method _calculate_volatility_confidence (line 482) | def _calculate_volatility_confidence(self, volatility_metrics: Dict[st...
    method _generate_volatility_signal (line 515) | def _generate_volatility_signal(self, analysis: Dict[str, Any], contex...
    method _simple_volatility_analysis (line 570) | def _simple_volatility_analysis(self, context: AgentContext) -> AgentS...
    method _create_hold_signal (line 620) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 632) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: agents/volume_agent.py
  class VolumeAgent (line 22) | class VolumeAgent(BaseAgent):
    method __init__ (line 34) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method train (line 66) | def train(self, training_data: pd.DataFrame, context: AgentContext) ->...
    method predict (line 92) | def predict(self, context: AgentContext) -> AgentSignal:
    method _analyze_volume (line 124) | def _analyze_volume(self, context: AgentContext) -> Dict[str, Any]:
    method _calculate_volume_metrics (line 172) | def _calculate_volume_metrics(self, context: AgentContext) -> Dict[str...
    method _calculate_volume_trend (line 228) | def _calculate_volume_trend(self, volume: pd.Series) -> float:
    method _analyze_volume_trends (line 252) | def _analyze_volume_trends(self, volume_metrics: Dict[str, float]) -> ...
    method _detect_volume_breakouts (line 297) | def _detect_volume_breakouts(self, volume_metrics: Dict[str, float]) -...
    method _analyze_volume_price_relationship (line 340) | def _analyze_volume_price_relationship(self, volume_metrics: Dict[str,...
    method _calculate_volume_indicators (line 415) | def _calculate_volume_indicators(self, volume_metrics: Dict[str, float...
    method _calculate_obv (line 466) | def _calculate_obv(self, prices: pd.Series, volume: pd.Series) -> float:
    method _calculate_volume_confidence (line 486) | def _calculate_volume_confidence(self, volume_metrics: Dict[str, float...
    method _generate_volume_signal (line 519) | def _generate_volume_signal(self, analysis: Dict[str, Any], context: A...
    method _simple_volume_analysis (line 586) | def _simple_volume_analysis(self, context: AgentContext) -> AgentSignal:
    method _create_hold_signal (line 648) | def _create_hold_signal(self, reason: str, context: AgentContext) -> A...
    method update_model (line 660) | def update_model(self, new_data: pd.DataFrame, context: AgentContext) ...

FILE: alerts/alert_system.py
  class AlertType (line 29) | class AlertType(Enum):
  class AlertSeverity (line 39) | class AlertSeverity(Enum):
  class NotificationChannel (line 47) | class NotificationChannel(Enum):
  class AlertRule (line 57) | class AlertRule:
  class Alert (line 71) | class Alert:
  class NotificationConfig (line 85) | class NotificationConfig:
  class AlertSystem (line 92) | class AlertSystem:
    method __init__ (line 104) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method _initialize_default_rules (line 197) | def _initialize_default_rules(self) -> None:
    method add_alert_rule (line 217) | def add_alert_rule(self, rule: AlertRule) -> None:
    method remove_alert_rule (line 225) | def remove_alert_rule(self, rule_name: str) -> None:
    method update_alert_rule (line 234) | def update_alert_rule(self, rule_name: str, updates: Dict[str, Any]) -...
    method check_signal_alerts (line 246) | def check_signal_alerts(self, signal: AgentSignal) -> None:
    method check_performance_alerts (line 259) | def check_performance_alerts(self, performance_data: Dict[str, Any]) -...
    method check_system_alerts (line 272) | def check_system_alerts(self, system_data: Dict[str, Any]) -> None:
    method check_risk_alerts (line 285) | def check_risk_alerts(self, risk_data: Dict[str, Any]) -> None:
    method _is_rule_triggered (line 298) | def _is_rule_triggered(self, rule: AlertRule, data: Any) -> bool:
    method _is_in_cooldown (line 335) | def _is_in_cooldown(self, rule: AlertRule) -> bool:
    method _is_rate_limited (line 350) | def _is_rate_limited(self) -> bool:
    method _trigger_alert (line 364) | def _trigger_alert(self, rule: AlertRule, data: Any) -> None:
    method _generate_alert_message (line 399) | def _generate_alert_message(self, rule: AlertRule, data: Any) -> str:
    method _extract_alert_data (line 417) | def _extract_alert_data(self, data: Any) -> Dict[str, Any]:
    method _send_notifications (line 431) | def _send_notifications(self, alert: Alert, rule: AlertRule) -> None:
    method _send_log_notification (line 449) | def _send_log_notification(self, alert: Alert) -> None:
    method _send_email_notification (line 465) | def _send_email_notification(self, alert: Alert) -> None:
    method _send_webhook_notification (line 509) | def _send_webhook_notification(self, alert: Alert) -> None:
    method _send_websocket_notification (line 548) | def _send_websocket_notification(self, alert: Alert) -> None:
    method _send_dashboard_notification (line 583) | def _send_dashboard_notification(self, alert: Alert) -> None:
    method _cleanup_old_alerts (line 592) | def _cleanup_old_alerts(self) -> None:
    method resolve_alert (line 613) | def resolve_alert(self, alert_id: str) -> bool:
    method get_active_alerts (line 633) | def get_active_alerts(self) -> List[Alert]:
    method get_alert_history (line 637) | def get_alert_history(self, limit: int = 100) -> List[Alert]:
    method get_alert_statistics (line 641) | def get_alert_statistics(self) -> Dict[str, Any]:
    method start_monitoring (line 672) | def start_monitoring(self) -> None:
    method stop_monitoring (line 681) | def stop_monitoring(self) -> None:

FILE: analytics/performance_tracker.py
  class PerformanceMetric (line 26) | class PerformanceMetric(Enum):
  class AgentPerformance (line 43) | class AgentPerformance:
  class SignalOutcome (line 67) | class SignalOutcome:
  class PerformanceTracker (line 85) | class PerformanceTracker:
    method __init__ (line 97) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method _initialize_database (line 142) | def _initialize_database(self) -> None:
    method track_signal (line 207) | def track_signal(self, signal: AgentSignal, entry_price: float, metada...
    method update_signal_outcome (line 246) | def update_signal_outcome(self, signal_id: str, exit_price: float, exi...
    method calculate_agent_performance (line 298) | def calculate_agent_performance(self, agent_name: str, lookback_days: ...
    method _calculate_classification_metrics (line 383) | def _calculate_classification_metrics(self, signals: List[SignalOutcom...
    method _calculate_sharpe_ratio (line 404) | def _calculate_sharpe_ratio(self, returns: List[float]) -> float:
    method _calculate_sortino_ratio (line 427) | def _calculate_sortino_ratio(self, returns: List[float]) -> float:
    method _calculate_max_drawdown (line 455) | def _calculate_max_drawdown(self, returns: List[float]) -> float:
    method _calculate_information_ratio (line 471) | def _calculate_information_ratio(self, returns: List[float]) -> float:
    method _calculate_signal_distribution (line 495) | def _calculate_signal_distribution(self, signals: List[SignalOutcome])...
    method _calculate_confidence_distribution (line 509) | def _calculate_confidence_distribution(self, signals: List[SignalOutco...
    method _calculate_performance_by_regime (line 529) | def _calculate_performance_by_regime(self, signals: List[SignalOutcome...
    method _create_empty_performance (line 574) | def _create_empty_performance(self, agent_name: str) -> AgentPerformance:
    method _store_signal_outcome (line 595) | def _store_signal_outcome(self, signal_outcome: SignalOutcome) -> None:
    method _update_signal_outcome (line 629) | def _update_signal_outcome(self, signal_outcome: SignalOutcome) -> None:
    method _store_agent_performance (line 655) | def _store_agent_performance(self, performance: AgentPerformance) -> N...
    method get_agent_ranking (line 696) | def get_agent_ranking(self, metric: PerformanceMetric = PerformanceMet...
    method get_performance_summary (line 737) | def get_performance_summary(self) -> Dict[str, Any]:

FILE: api/main.py
  function generate_realistic_agent_data (line 47) | def generate_realistic_agent_data(agent_status: Dict[str, str]) -> List[...
  class AgentStatusDetail (line 87) | class AgentStatusDetail(BaseModel):
  class SystemStatusResponse (line 97) | class SystemStatusResponse(BaseModel):
  class SignalResponse (line 111) | class SignalResponse(BaseModel):
  class BacktestRequest (line 121) | class BacktestRequest(BaseModel):
  class BacktestResponse (line 127) | class BacktestResponse(BaseModel):
  function startup_event (line 139) | async def startup_event():
  function shutdown_event (line 168) | async def shutdown_event():
  function root (line 183) | async def root():
  function health_check (line 194) | async def health_check():
  function get_system_status (line 209) | async def get_system_status():
  function get_recent_signals (line 224) | async def get_recent_signals(limit: int = 50):
  function get_recent_predictions (line 237) | async def get_recent_predictions(limit: int = 50):
  function get_signals_for_symbol (line 250) | async def get_signals_for_symbol(symbol: str, limit: int = 50):
  function get_active_agents (line 265) | async def get_active_agents():
  function get_agents_status (line 275) | async def get_agents_status():
  function get_agent_performance (line 341) | async def get_agent_performance(agent_name: str):
  function get_active_symbols (line 355) | async def get_active_symbols():
  function run_backtest (line 365) | async def run_backtest(request: BacktestRequest, background_tasks: Backg...
  function get_system_metrics (line 397) | async def get_system_metrics():
  function get_prediction_for_symbol (line 421) | async def get_prediction_for_symbol(symbol: str):
  function get_portfolio (line 441) | async def get_portfolio():
  function get_portfolio_performance (line 523) | async def get_portfolio_performance():
  function get_portfolio_optimization (line 547) | async def get_portfolio_optimization():
  function not_found_handler (line 581) | async def not_found_handler(request, exc):
  function internal_error_handler (line 586) | async def internal_error_handler(request, exc):

FILE: backtesting/backtest_engine.py
  class OrderType (line 26) | class OrderType(Enum):
  class OrderSide (line 34) | class OrderSide(Enum):
  class Order (line 41) | class Order:
  class Trade (line 55) | class Trade:
  class BacktestResults (line 72) | class BacktestResults:
  class BacktestEngine (line 91) | class BacktestEngine:
    method __init__ (line 103) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method run_backtest (line 137) | def run_backtest(self,
    method _reset_backtest_state (line 186) | def _reset_backtest_state(self) -> None:
    method _fetch_historical_data (line 195) | def _fetch_historical_data(self, symbols: List[str], start_date: datet...
    method _run_simulation (line 228) | def _run_simulation(self, data: pd.DataFrame, strategy_function: Calla...
    method _update_portfolio_value (line 265) | def _update_portfolio_value(self, day_data: pd.DataFrame) -> None:
    method _process_signal (line 282) | def _process_signal(self, signal: AgentSignal, price_data: pd.Series, ...
    method _calculate_position_size (line 336) | def _calculate_position_size(self, signal: AgentSignal, current_price:...
    method _execute_buy_order (line 358) | def _execute_buy_order(self, order: Order, price_data: pd.Series) -> N...
    method _execute_sell_order (line 395) | def _execute_sell_order(self, order: Order, price_data: pd.Series) -> ...
    method _calculate_results (line 457) | def _calculate_results(self, data: pd.DataFrame, agent_name: str) -> B...
    method _calculate_max_drawdown (line 516) | def _calculate_max_drawdown(self) -> float:
    method _calculate_sharpe_ratio (line 538) | def _calculate_sharpe_ratio(self, returns: List[float]) -> float:
    method _calculate_sortino_ratio (line 561) | def _calculate_sortino_ratio(self, returns: List[float]) -> float:
    method _calculate_calmar_ratio (line 589) | def _calculate_calmar_ratio(self, total_return: float, max_drawdown: f...
    method _calculate_monthly_returns (line 601) | def _calculate_monthly_returns(self, equity_df: pd.DataFrame) -> pd.Se...
    method _calculate_agent_performance (line 616) | def _calculate_agent_performance(self) -> Dict[str, Dict[str, float]]:
    method _calculate_regime_performance (line 652) | def _calculate_regime_performance(self, data: pd.DataFrame) -> Dict[st...
    method _create_empty_results (line 697) | def _create_empty_results(self) -> BacktestResults:

FILE: config/init.sql
  type symbols (line 37) | CREATE TABLE IF NOT EXISTS symbols (
  type managed_symbols (line 53) | CREATE TABLE IF NOT EXISTS managed_symbols (
  type symbol_performance (line 74) | CREATE TABLE IF NOT EXISTS symbol_performance (
  type trading_decisions (line 91) | CREATE TABLE IF NOT EXISTS trading_decisions (
  type agent_signals (line 107) | CREATE TABLE IF NOT EXISTS agent_signals (
  type agent_performance (line 121) | CREATE TABLE IF NOT EXISTS agent_performance (
  type agent_feedback (line 138) | CREATE TABLE IF NOT EXISTS agent_feedback (
  type online_learning_status (line 152) | CREATE TABLE IF NOT EXISTS online_learning_status (
  type agent_routing_decisions (line 167) | CREATE TABLE IF NOT EXISTS agent_routing_decisions (
  type market_regime_detection (line 184) | CREATE TABLE IF NOT EXISTS market_regime_detection (
  type agent_routing_weights (line 201) | CREATE TABLE IF NOT EXISTS agent_routing_weights (
  type ticker_discovery_history (line 214) | CREATE TABLE IF NOT EXISTS ticker_discovery_history (
  type ticker_discovery_results (line 229) | CREATE TABLE IF NOT EXISTS ticker_discovery_results (
  type idx_managed_symbols_status (line 247) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_status ON managed_symbols...
  type idx_managed_symbols_source (line 248) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_source ON managed_symbols...
  type idx_managed_symbols_priority (line 249) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_priority ON managed_symbo...
  type idx_managed_symbols_added_date (line 250) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_added_date ON managed_sym...
  type idx_managed_symbols_last_updated (line 251) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_last_updated ON managed_s...
  type idx_symbol_performance_symbol (line 253) | CREATE INDEX IF NOT EXISTS idx_symbol_performance_symbol ON symbol_perfo...
  type idx_symbol_performance_timestamp (line 254) | CREATE INDEX IF NOT EXISTS idx_symbol_performance_timestamp ON symbol_pe...
  type idx_symbol_performance_symbol_timestamp (line 255) | CREATE INDEX IF NOT EXISTS idx_symbol_performance_symbol_timestamp ON sy...
  type idx_trading_decisions_symbol (line 257) | CREATE INDEX IF NOT EXISTS idx_trading_decisions_symbol ON trading_decis...
  type idx_trading_decisions_generated_at (line 258) | CREATE INDEX IF NOT EXISTS idx_trading_decisions_generated_at ON trading...
  type idx_trading_decisions_action (line 259) | CREATE INDEX IF NOT EXISTS idx_trading_decisions_action ON trading_decis...
  type idx_trading_decisions_confidence (line 260) | CREATE INDEX IF NOT EXISTS idx_trading_decisions_confidence ON trading_d...
  type idx_discovery_history_timestamp (line 262) | CREATE INDEX IF NOT EXISTS idx_discovery_history_timestamp ON ticker_dis...
  type idx_discovery_history_status (line 263) | CREATE INDEX IF NOT EXISTS idx_discovery_history_status ON ticker_discov...
  type idx_discovery_results_symbol (line 264) | CREATE INDEX IF NOT EXISTS idx_discovery_results_symbol ON ticker_discov...
  type idx_discovery_results_priority (line 265) | CREATE INDEX IF NOT EXISTS idx_discovery_results_priority ON ticker_disc...
  type idx_discovery_results_scan_id (line 266) | CREATE INDEX IF NOT EXISTS idx_discovery_results_scan_id ON ticker_disco...
  type idx_discovery_results_discovered_at (line 267) | CREATE INDEX IF NOT EXISTS idx_discovery_results_discovered_at ON ticker...
  type idx_managed_symbols_tags (line 270) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_tags ON managed_symbols U...
  type idx_managed_symbols_active (line 273) | CREATE INDEX IF NOT EXISTS idx_managed_symbols_active ON managed_symbols...
  type idx_symbol_performance_recent (line 274) | CREATE INDEX IF NOT EXISTS idx_symbol_performance_recent ON symbol_perfo...
  type idx_trading_decisions_recent (line 275) | CREATE INDEX IF NOT EXISTS idx_trading_decisions_recent ON trading_decis...
  function update_updated_at_column (line 278) | CREATE OR REPLACE FUNCTION update_updated_at_column()
  type symbol_summary (line 300) | CREATE OR REPLACE VIEW symbol_summary AS
  function get_symbol_performance_history (line 338) | CREATE OR REPLACE FUNCTION get_symbol_performance_history(
  function clean_old_performance_data (line 367) | CREATE OR REPLACE FUNCTION clean_old_performance_data(p_days INTEGER DEF...
  type execution_orders (line 393) | CREATE TABLE IF NOT EXISTS execution_orders (
  type execution_positions (line 414) | CREATE TABLE IF NOT EXISTS execution_positions (
  type execution_strategies (line 432) | CREATE TABLE IF NOT EXISTS execution_strategies (
  type idx_execution_orders_symbol (line 448) | CREATE INDEX IF NOT EXISTS idx_execution_orders_symbol ON execution_orde...
  type idx_execution_orders_status (line 449) | CREATE INDEX IF NOT EXISTS idx_execution_orders_status ON execution_orde...
  type idx_execution_orders_created_at (line 450) | CREATE INDEX IF NOT EXISTS idx_execution_orders_created_at ON execution_...
  type idx_execution_positions_symbol (line 451) | CREATE INDEX IF NOT EXISTS idx_execution_positions_symbol ON execution_p...
  type idx_execution_strategies_active (line 452) | CREATE INDEX IF NOT EXISTS idx_execution_strategies_active ON execution_...
  type rag_news_documents (line 455) | CREATE TABLE IF NOT EXISTS rag_news_documents (
  type rag_analysis (line 472) | CREATE TABLE IF NOT EXISTS rag_analysis (
  type rag_performance (line 485) | CREATE TABLE IF NOT EXISTS rag_performance (
  type idx_rag_news_documents_source (line 495) | CREATE INDEX IF NOT EXISTS idx_rag_news_documents_source ON rag_news_doc...
  type idx_rag_news_documents_published_at (line 496) | CREATE INDEX IF NOT EXISTS idx_rag_news_documents_published_at ON rag_ne...
  type idx_rag_news_documents_category (line 497) | CREATE INDEX IF NOT EXISTS idx_rag_news_documents_category ON rag_news_d...
  type idx_rag_analysis_created_at (line 498) | CREATE INDEX IF NOT EXISTS idx_rag_analysis_created_at ON rag_analysis(c...
  type idx_rag_performance_metric_name (line 499) | CREATE INDEX IF NOT EXISTS idx_rag_performance_metric_name ON rag_perfor...
  type idx_rag_performance_measurement_date (line 500) | CREATE INDEX IF NOT EXISTS idx_rag_performance_measurement_date ON rag_p...
  type rl_training_metrics (line 503) | CREATE TABLE IF NOT EXISTS rl_training_metrics (
  type rl_performance_metrics (line 520) | CREATE TABLE IF NOT EXISTS rl_performance_metrics (
  type rl_actions (line 537) | CREATE TABLE IF NOT EXISTS rl_actions (
  type idx_rl_training_metrics_algorithm (line 553) | CREATE INDEX IF NOT EXISTS idx_rl_training_metrics_algorithm ON rl_train...
  type idx_rl_training_metrics_created_at (line 554) | CREATE INDEX IF NOT EXISTS idx_rl_training_metrics_created_at ON rl_trai...
  type idx_rl_performance_metrics_created_at (line 555) | CREATE INDEX IF NOT EXISTS idx_rl_performance_metrics_created_at ON rl_p...
  type idx_rl_performance_metrics_measurement_period (line 556) | CREATE INDEX IF NOT EXISTS idx_rl_performance_metrics_measurement_period...
  type idx_rl_actions_symbol (line 557) | CREATE INDEX IF NOT EXISTS idx_rl_actions_symbol ON rl_actions(symbol)
  type idx_rl_actions_action_type (line 558) | CREATE INDEX IF NOT EXISTS idx_rl_actions_action_type ON rl_actions(acti...
  type idx_rl_actions_created_at (line 559) | CREATE INDEX IF NOT EXISTS idx_rl_actions_created_at ON rl_actions(creat...

FILE: context/context_managers.py
  class MarketRegime (line 20) | class MarketRegime(Enum):
  class EventType (line 29) | class EventType(Enum):
  class MarketEvent (line 41) | class MarketEvent:
  class TimeContext (line 54) | class TimeContext:
    method __init__ (line 62) | def __init__(self, timezone: str = "US/Eastern"):
    method get_time_features (line 72) | def get_time_features(self, timestamp: Optional[datetime] = None) -> D...
    method _get_market_timing_features (line 109) | def _get_market_timing_features(self, timestamp: datetime) -> Dict[str...
    method _get_seasonal_features (line 130) | def _get_seasonal_features(self, timestamp: datetime) -> Dict[str, Any]:
    method _is_market_hours (line 140) | def _is_market_hours(self, timestamp: datetime) -> bool:
    method _is_pre_market (line 148) | def _is_pre_market(self, timestamp: datetime) -> bool:
    method _is_after_hours (line 156) | def _is_after_hours(self, timestamp: datetime) -> bool:
    method _is_market_open (line 164) | def _is_market_open(self, timestamp: datetime) -> bool:
    method _is_market_close (line 169) | def _is_market_close(self, timestamp: datetime) -> bool:
    method _minutes_since_market_open (line 174) | def _minutes_since_market_open(self, timestamp: datetime) -> float:
    method _minutes_to_market_close (line 179) | def _minutes_to_market_close(self, timestamp: datetime) -> float:
    method _market_session_progress (line 184) | def _market_session_progress(self, timestamp: datetime) -> float:
    method _is_month_end (line 190) | def _is_month_end(self, timestamp: datetime) -> bool:
    method _is_quarter_end (line 194) | def _is_quarter_end(self, timestamp: datetime) -> bool:
    method _is_year_end (line 198) | def _is_year_end(self, timestamp: datetime) -> bool:
    method _is_holiday_season (line 202) | def _is_holiday_season(self, timestamp: datetime) -> bool:
    method _is_earnings_season (line 206) | def _is_earnings_season(self, timestamp: datetime) -> bool:
    method _is_options_expiry (line 212) | def _is_options_expiry(self, timestamp: datetime) -> bool:
  class EventContext (line 221) | class EventContext:
    method __init__ (line 229) | def __init__(self, max_events: int = 1000, decay_half_life_hours: floa...
    method add_event (line 242) | def add_event(self, event: MarketEvent) -> None:
    method get_active_events (line 253) | def get_active_events(self, timestamp: Optional[datetime] = None,
    method get_events_by_type (line 290) | def get_events_by_type(self, event_type: EventType,
    method get_events_for_asset (line 305) | def get_events_for_asset(self, asset_symbol: str,
    method get_event_features (line 320) | def get_event_features(self, timestamp: Optional[datetime] = None) -> ...
    method _calculate_decay_impact (line 359) | def _calculate_decay_impact(self, event: MarketEvent, timestamp: datet...
  class RegimeContext (line 377) | class RegimeContext:
    method __init__ (line 385) | def __init__(self, lookback_days: int = 30):
    method update_regime (line 397) | def update_regime(self, market_data: pd.DataFrame, timestamp: datetime...
    method get_regime_features (line 433) | def get_regime_features(self, timestamp: Optional[datetime] = None) ->...
    method _calculate_regime_indicators (line 458) | def _calculate_regime_indicators(self, market_data: pd.DataFrame) -> D...
    method _classify_regime (line 493) | def _classify_regime(self, indicators: Dict[str, float]) -> MarketRegime:
    method _calculate_regime_confidence (line 514) | def _calculate_regime_confidence(self, indicators: Dict[str, float], r...
    method _get_regime_duration (line 528) | def _get_regime_duration(self, timestamp: datetime) -> float:
    method _get_regime_stability (line 546) | def _get_regime_stability(self) -> float:
    method _get_recent_regime_changes (line 561) | def _get_recent_regime_changes(self, timestamp: datetime) -> int:
    method _get_regime_specific_features (line 573) | def _get_regime_specific_features(self) -> Dict[str, Any]:
    method _initialize_transition_matrix (line 598) | def _initialize_transition_matrix(self) -> Dict[MarketRegime, Dict[Mar...

FILE: context/regime_detection.py
  class RegimeType (line 23) | class RegimeType(Enum):
  class RegimeState (line 36) | class RegimeState:
  class RegimeTransition (line 48) | class RegimeTransition:
  class MarkovRegimeDetector (line 57) | class MarkovRegimeDetector:
    method __init__ (line 68) | def __init__(self, config: Optional[Dict[str, Any]] = None):
    method fit (line 104) | def fit(self, data: pd.DataFrame) -> Dict[str, Any]:
    method predict (line 167) | def predict(self, data: pd.DataFrame) -> RegimeState:
    method _prepare_features (line 255) | def _prepare_features(self, data: pd.DataFrame) -> pd.DataFrame:
    method _calculate_rsi (line 312) | def _calculate_rsi(self, prices: pd.Series, period: int = 14) -> pd.Se...
    method _calculate_macd (line 324) | def _calculate_macd(self, prices: pd.Series, fast: int = 12, slow: int...
    method _estimate_transition_matrix (line 334) | def _estimate_transition_matrix(self, regime_assignments: np.ndarray) ...
    method _analyze_regime_characteristics (line 363) | def _analyze_regime_characteristics(self, features: pd.DataFrame, regi...
    method _calculate_regime_characteristics (line 401) | def _calculate_regime_characteristics(self, features: pd.Series) -> Di...
    method _calculate_regime_confidence (line 416) | def _calculate_regime_confidence(self, regime_probs: np.ndarray, chara...
    method _estimate_regime_duration (line 450) | def _estimate_regime_duration(self, regime_type: RegimeType) -> int:
    method _update_regime_history (line 471) | def _update_regime_history(self, regime_state: RegimeState) -> None:
    method get_regime_transitions (line 487) | def get_regime_transitions(self) -> List[RegimeTransition]:
    method get_regime_statistics (line 515) | def get_regime_statistics(self) -> Dict[str, Any]:

FILE: data/alternative_data_sources.py
  class AlternativeDataConfig (line 27) | class AlternativeDataConfig:
  class BaseAlternativeDataSource (line 36) | class BaseAlternativeDataSource(ABC):
    method __init__ (line 39) | def __init__(self, config: AlternativeDataConfig):
    method _rate_limit (line 47) | def _rate_limit(self):
    method _make_request (line 55) | def _make_request(self, url: str, params: Dict[str, Any] = None) -> Di...
  class SocialSentimentDataSource (line 75) | class SocialSentimentDataSource(BaseAlternativeDataSource):
    method __init__ (line 78) | def __init__(self, config: AlternativeDataConfig):
    method get_sentiment_data (line 86) | def get_sentiment_data(self, symbol: str, start_date: datetime,
    method _generate_mock_sentiment_data (line 102) | def _generate_mock_sentiment_data(self, symbol: str, start_date: datet...
  class NewsSentimentDataSource (line 142) | class NewsSentimentDataSource(BaseAlternativeDataSource):
    method __init__ (line 145) | def __init__(self, config: AlternativeDataConfig):
    method get_news_sentiment (line 153) | def get_news_sentiment(self, symbol: str, start_date: datetime,
    method _generate_mock_news_sentiment (line 169) | def _generate_mock_news_sentiment(self, symbol: str, start_date: datet...
  class SatelliteDataSource (line 198) | class SatelliteDataSource(BaseAlternativeDataSource):
    method __init__ (line 201) | def __init__(self, config: AlternativeDataConfig):
    method get_satellite_data (line 209) | def get_satellite_data(self, location: str, start_date: datetime,
    method _generate_mock_satellite_data (line 225) | def _generate_mock_satellite_data(self, location: str, start_date: dat...
  class CreditCardDataSource (line 263) | class CreditCardDataSource(BaseAlternativeDataSource):
    method __init__ (line 266) | def __init__(self, config: AlternativeDataConfig):
    method get_spending_data (line 274) | def get_spending_data(self, merchant_category: str, start_date: datetime,
    method _generate_mock_spending_data (line 290) | def _generate_mock_spending_data(self, merchant_category: str, start_d...
  class SupplyChainDataSource (line 338) | class SupplyChainDataSource(BaseAlternativeDataSource):
    method __init__ (line 341) | def __init__(self, config: AlternativeDataConfig):
    method get_supply_chain_data (line 349) | def get_supply_chain_data(self, company: str, start_date: datetime,
    method _generate_mock_supply_chain_data (line 365) | def _generate_mock_supply_chain_data(self, company: str, start_date: d...
  class AlternativeDataManager (line 398) | class AlternativeDataManager:
    method __init__ (line 401) | def __init__(self):
    method add_source (line 404) | def add_source(self, name: str, source: BaseAlternativeDataSource):
    method get_sentiment_data (line 409) | def get_sentiment_data(self, symbol: str, start_date: datetime,
    method get_news_sentiment (line 425) | def get_news_sentiment(self, symbol: str, start_date: datetime,
    method get_satellite_data (line 441) | def get_satellite_data(self, location: str, start_date: datetime,
    method get_spending_data (line 457) | def get_spending_data(self, merchant_category: str, start_date: datetime,
    method get_supply_chain_data (line 473) | def get_supply_chain_data(self, company: str, start_date: datetime,
  function create_alternative_data_manager (line 490) | def create_alternative_data_manager() -> AlternativeDataManager:

FILE: data/data_ingestors.py
  class DataIngestionConfig (line 26) | class DataIngestionConfig:
  class BaseDataIngestor (line 37) | class BaseDataIngestor(ABC):
    method __init__ (line 45) | def __init__(self, config: DataIngestionConfig):
    method fetch_data (line 59) | def fetch_data(self, symbol: str, start_date: datetime,
    method fetch_multiple_symbols (line 74) | def fetch_multiple_symbols(self, symbols: List[str],
    method _handle_rate_limit (line 112) | def _handle_rate_limit(self):
    method _retry_on_failure (line 116) | def _retry_on_failure(self, func, *args, **kwargs):
  class YahooFinanceIngestor (line 145) | class YahooFinanceIngestor(BaseDataIngestor):
    method __init__ (line 153) | def __init__(self, config: DataIngestionConfig):
    method fetch_data (line 158) | def fetch_data(self, symbol: str, start_date: datetime,
    method _add_technical_indicators (line 206) | def _add_technical_indicators(self, data: pd.DataFrame) -> pd.DataFrame:
    method _calculate_rsi (line 237) | def _calculate_rsi(self, prices: pd.Series, window: int = 14) -> pd.Se...
    method _calculate_bollinger_bands (line 246) | def _calculate_bollinger_bands(self, prices: pd.Series, window: int = ...
    method get_company_info (line 254) | def get_company_info(self, symbol: str) -> Dict[str, Any]:
  class NewsIngestor (line 279) | class NewsIngestor(BaseDataIngestor):
    method __init__ (line 287) | def __init__(self, config: DataIngestionConfig, news_api_key: Optional...
    method fetch_data (line 302) | def fetch_data(self, symbol: str, start_date: datetime,
    method _fetch_from_newsapi (line 349) | def _fetch_from_newsapi(self, symbol: str, start_date: datetime,
    method _fetch_from_rss_feeds (line 392) | def _fetch_from_rss_feeds(self, symbol: str, start_date: datetime,
    method _add_sentiment_analysis (line 439) | def _add_sentiment_analysis(self, df: pd.DataFrame) -> pd.DataFrame:
  class EconomicDataIngestor (line 478) | class EconomicDataIngestor(BaseDataIngestor):
    method __init__ (line 486) | def __init__(self, config: DataIngestionConfig, alpha_vantage_key: Opt...
    method fetch_data (line 501) | def fetch_data(self, symbol: str, start_date: datetime,
  class DataIngestionOrchestrator (line 540) | class DataIngestionOrchestrator:
    method __init__ (line 548) | def __init__(self, config: DataIngestionConfig):
    method fetch_all_data (line 562) | def fetch_all_data(self, symbols: List[str], start_date: datetime,
    method get_ingestor (line 608) | def get_ingestor(self, source_name: str) -> Optional[BaseDataIngestor]:
    method add_ingestor (line 612) | def add_ingestor(self, name: str, ingestor: BaseDataIngestor) -> None:

FILE: data/data_quality_validator.py
  class DataQualityLevel (line 24) | class DataQualityLevel(Enum):
  class DataQualityReport (line 34) | class DataQualityReport:
  class DataQualityValidator (line 51) | class DataQualityValidator:
    method __init__ (line 54) | def __init__(self):
    method validate_price_data (line 62) | def validate_price_data(self, df: pd.DataFrame, symbol: str = None) ->...
    method _calculate_completeness_score (line 109) | def _calculate_completeness_score(self, df: pd.DataFrame) -> float:
    method _calculate_accuracy_score (line 120) | def _calculate_accuracy_score(self, df: pd.DataFrame) -> float:
    method _calculate_consistency_score (line 150) | def _calculate_consistency_score(self, df: pd.DataFrame) -> float:
    method _calculate_timeliness_score (line 176) | def _calculate_timeliness_score(self, df: pd.DataFrame) -> float:
    method _detect_anomalies (line 197) | def _detect_anomalies(self, df: pd.DataFrame) -> List[int]:
    method _find_missing_data (line 233) | def _find_missing_data(self, df: pd.DataFrame) -> int:
    method _find_data_gaps (line 237) | def _find_data_gaps(self, df: pd.DataFrame) -> List[Tuple[datetime, da...
    method _identify_quality_issues (line 258) | def _identify_quality_issues(self, df: pd.DataFrame, completeness: float,
    method _generate_recommendations (line 289) | def _generate_recommendations(self, issues: List[str], anomalies: List...
    method _determine_quality_level (line 317) | def _determine_quality_level(self, overall_score: float) -> DataQualit...
    method _create_empty_report (line 330) | def _create_empty_report(self, symbol: str, source: str) -> DataQualit...
  class DataEnhancer (line 349) | class DataEnhancer:
    method __init__ (line 352) | def __init__(self):
    method clean_price_data (line 355) | def clean_price_data(self, df: pd.DataFrame) -> pd.DataFrame:
    method interpolate_missing_data (line 384) | def interpolate_missing_data(self, df: pd.DataFrame, method: str = 'li...
    method remove_outliers (line 399) | def remove_outliers(self, df: pd.DataFrame, columns: List[str] = None,
    method add_technical_indicators (line 428) | def add_technical_indicators(self, df: pd.DataFrame) -> pd.DataFrame:
  class DataLineageTracker (line 459) | class DataLineageTracker:
    method __init__ (line 462) | def __init__(self):
    method record_data_operation (line 465) | def record_data_operation(self, operation: str, input_sources: List[str],
    method get_lineage_report (line 481) | def get_lineage_report(self) -> List[Dict[str, Any]]:
    method export_lineage (line 485) | def export_lineage(self, filepath: str):
  function create_data_quality_system (line 492) | def create_data_quality_system() -> Tuple[DataQualityValidator, DataEnha...

FILE: data/enhanced_data_sources.py
  class DataSourceConfig (line 28) | class DataSourceConfig:
  class BaseEnhancedDataSource (line 39) | class BaseEnhancedDataSource(ABC):
    method __init__ (line 42) | def __init__(self, config: DataSourceConfig):
    method _rate_limit (line 51) | def _rate_limit(self):
    method _make_request (line 59) | def _make_request(self, url: str, params: Dict[str, Any] = None) -> Di...
    method get_price_data (line 79) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 85) | def get_current_price(self, symbol: str) -> float:
  class AlphaVantageDataSource (line 90) | class AlphaVantageDataSource(BaseEnhancedDataSource):
    method __init__ (line 93) | def __init__(self, config: DataSourceConfig):
    method get_price_data (line 101) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 148) | def get_current_price(self, symbol: str) -> float:
  class IEXCloudDataSource (line 170) | class IEXCloudDataSource(BaseEnhancedDataSource):
    method __init__ (line 173) | def __init__(self, config: DataSourceConfig):
    method get_price_data (line 181) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 234) | def get_current_price(self, symbol: str) -> float:
  class PolygonDataSource (line 252) | class PolygonDataSource(BaseEnhancedDataSource):
    method __init__ (line 255) | def __init__(self, config: DataSourceConfig):
    method get_price_data (line 263) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 305) | def get_current_price(self, symbol: str) -> float:
  class FREDDataSource (line 323) | class FREDDataSource(BaseEnhancedDataSource):
    method __init__ (line 326) | def __init__(self, config: DataSourceConfig):
    method get_economic_data (line 334) | def get_economic_data(self, series_id: str, start_date: datetime,
    method get_price_data (line 378) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 383) | def get_current_price(self, symbol: str) -> float:
  class BinanceDataSource (line 388) | class BinanceDataSource(BaseEnhancedDataSource):
    method __init__ (line 391) | def __init__(self, config: DataSourceConfig):
    method get_price_data (line 395) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 442) | def get_current_price(self, symbol: str) -> float:
  class CoinbaseDataSource (line 464) | class CoinbaseDataSource(BaseEnhancedDataSource):
    method __init__ (line 467) | def __init__(self, config: DataSourceConfig):
    method get_price_data (line 471) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 516) | def get_current_price(self, symbol: str) -> float:
  class EnhancedDataManager (line 537) | class EnhancedDataManager:
    method __init__ (line 540) | def __init__(self):
    method add_source (line 544) | def add_source(self, name: str, source: BaseEnhancedDataSource):
    method get_price_data (line 549) | def get_price_data(self, symbol: str, start_date: datetime,
    method get_current_price (line 581) | def get_current_price(self, symbol: str, preferred_source: str = None)...
  class DataQualityValidator (line 612) | class DataQualityValidator:
    method validate_price_data (line 615) | def validate_price_data(self, df: pd.DataFrame) -> bool:
    method validate_price (line 645) | def validate_price(self, price: float) -> bool:
  function create_enhanced_data_manager (line 650) | def create_enhanced_data_manager() -> EnhancedDataManager:

FILE: data/realtime_feeds.py
  class FeedType (line 28) | class FeedType(Enum):
  class DataType (line 40) | class DataType(Enum):
  class MarketData (line 52) | class MarketData:
  class FeedConfig (line 69) | class FeedConfig:
  class RealTimeDataFeed (line 82) | class RealTimeDataFeed:
    method __init__ (line 94) | def __init__(self, config: FeedConfig):
    method add_subscriber (line 112) | def add_subscriber(self, callback: Callable[[MarketData], None]) -> None:
    method remove_subscriber (line 122) | def remove_subscriber(self, callback: Callable[[MarketData], None]) ->...
    method start (line 133) | def start(self) -> None:
    method stop (line 153) | def stop(self) -> None:
    method _start_websocket_feed (line 167) | async def _start_websocket_feed(self) -> None:
    method _start_rest_api_feed (line 220) | async def _start_rest_api_feed(self) -> None:
    method _start_yahoo_finance_feed (line 247) | async def _start_yahoo_finance_feed(self) -> None:
    method _subscribe_to_symbols (line 273) | async def _subscribe_to_symbols(self, websocket) -> None:
    method _fetch_rest_api_data (line 288) | async def _fetch_rest_api_data(self, session: aiohttp.ClientSession, s...
    method _fetch_yahoo_finance_data (line 311) | async def _fetch_yahoo_finance_data(self, symbol: str) -> Optional[pd....
    method _parse_websocket_data (line 336) | def _parse_websocket_data(self, data: Dict) -> Optional[MarketData]:
    method _parse_rest_api_data (line 364) | def _parse_rest_api_data(self, data: Dict, symbol: str) -> Optional[Ma...
    method _parse_yahoo_finance_data (line 388) | def _parse_yahoo_finance_data(self, data: pd.DataFrame, symbol: str) -...
    method _process_data (line 417) | async def _process_data(self, market_data: MarketData) -> None:
    method get_latest_data (line 439) | def get_latest_data(self, symbol: str) -> Optional[MarketData]:
    method get_all_latest_data (line 443) | def get_all_latest_data(self) -> Dict[str, MarketData]:
    method get_data_queue (line 447) | def get_data_queue(self) -> queue.Queue:
  class RealTimeDataManager (line 452) | class RealTimeDataManager:
    method __init__ (line 463) | def __init__(self):
    method add_feed (line 472) | def add_feed(self, name: str, config: FeedConfig) -> RealTimeDataFeed:
    method remove_feed (line 493) | def remove_feed(self, name: str) -> None:
    method start_all_feeds (line 509) | def start_all_feeds(self) -> None:
    method stop_all_feeds (line 524) | def stop_all_feeds(self) -> None:
    method get_aggregated_data (line 539) | def get_aggregated_data(self, symbol: str) -> Optional[MarketData]:
    method get_all_aggregated_data (line 543) | def get_all_aggregated_data(self) -> Dict[str, MarketData]:
    method add_data_processor (line 547) | def add_data_processor(self, processor: Callable[[MarketData], None]) ...
    method get_feed_status (line 552) | def get_feed_status(self) -> Dict[str, Dict[str, Any]]:

FILE: force_portfolio_view.py
  function verify_system (line 12) | def verify_system():
  function force_portfolio_exhibit (line 25) | def force_portfolio_exhibit():
  function main (line 63) | def main():

FILE: frontend/dist/ai-market-analysis/11.e8090ab18786ee32.js
  function u (line 1) | function u(n,i){1&n&&(e.j41(0,"div",12)(1,"div",13),e.nrm(2,"div",14),e....
  function f (line 1) | function f(n,i){if(1&n&&(e.qex(0),e.j41(1,"div",10)(2,"div",16)(3,"div",...
  function p (line 1) | function p(n,i){1&n&&(e.j41(0,"div",38)(1,"div",16)(2,"div",17),e.nrm(3,...
  function v (line 1) | function v(n,i){1&n&&(e.j41(0,"div",8),e.DNE(1,p,8,0,"div",37),e.k0s()),...
  function F (line 1) | function F(n,i){if(1&n&&(e.j41(0,"tr",51)(1,"td",52)(2,"div",17)(3,"div"...
  function b (line 1) | function b(n,i){if(1&n&&(e.qex(0),e.j41(1,"div",43)(2,"h3",44),e.EFF(3,"...
  function h (line 1) | function h(n,i){1&n&&(e.j41(0,"div",65),e.nrm(1,"div",66),e.j41(2,"div",...
  function _ (line 1) | function _(n,i){1&n&&(e.j41(0,"div",43)(1,"h3",44),e.EFF(2,"Agent Perfor...
  function k (line 1) | function k(n,i){if(1&n&&(e.j41(0,"div",73)(1,"div",17)(2,"div",18)(3,"di...
  function j (line 1) | function j(n,i){if(1&n&&(e.qex(0),e.j41(1,"div",43)(2,"h3",44),e.EFF(3,"...
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  function x (line 1) | function x(n,i){1&n&&(e.j41(0,"div",43)(1,"h3",44),e.EFF(2,"Online Learn...
  function E (line 1) | function E(n,i){if(1&n&&(e.j41(0,"div",84)(1,"div",17)(2,"div",18)(3,"di...
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  function w (line 1) | function w(n,i){1&n&&(e.j41(0,"div",89)(1,"div",17),e.nrm(2,"div",90),e....
  function $ (line 1) | function $(n,i){1&n&&(e.j41(0,"div",43)(1,"h3",44),e.EFF(2,"Recent Feedb...
  class n (line 1) | class n{constructor(t){this.systemStatusService=t,this.isLoadingSummary=...
    method constructor (line 1) | constructor(t){this.systemStatusService=t,this.isLoadingSummary=!0,thi...
    method ngOnInit (line 1) | ngOnInit(){this.loadAgentMonitorData()}
    method loadAgentMonitorData (line 1) | loadAgentMonitorData(){this.isLoadingSummary=!0,this.agentMonitorSumma...
    method getHealthColor (line 1) | getHealthColor(t,r){const a=t/r;return a>=.8?"bg-green-500":a>=.6?"bg-...
    method getHealthBarColor (line 1) | getHealthBarColor(t){return t>=80?"bg-green-500":t>=60?"bg-yellow-500"...
    method getTrendColor (line 1) | getTrendColor(t){switch(t.toLowerCase()){case"improving":return"bg-gre...
    method getFeedbackColor (line 1) | getFeedbackColor(t){return t>.5?"text-green-600":t>0?"text-blue-600":t...
    method formatNumber (line 1) | formatNumber(t){return new Intl.NumberFormat("en-US").format(t)}
    method formatPercent (line 1) | formatPercent(t){return`${(100*t).toFixed(1)}%`}

FILE: frontend/dist/ai-market-analysis/153.06603bfee9654547.js
  function l (line 1) | function l(s,u){if(1&s&&(t.j41(0,"div",28)(1,"div",29)(2,"div",30)(3,"di...
  class s (line 1) | class s{constructor(e){this.systemStatusService=e,this.agents=[]}ngOnIni...
    method constructor (line 1) | constructor(e){this.systemStatusService=e,this.agents=[]}
    method ngOnInit (line 1) | ngOnInit(){this.loadAgents()}
    method loadAgents (line 1) | loadAgents(){this.systemStatusService.getAgentsStatus().subscribe({nex...
    method getActiveAgentsCount (line 1) | getActiveAgentsCount(){return this.agents.filter(e=>"active"===e.statu...
    method getIdleAgentsCount (line 1) | getIdleAgentsCount(){return this.agents.filter(e=>"idle"===e.status.to...
    method getActivePercentage (line 1) | getActivePercentage(){return 0===this.agents.length?0:Math.round(this....
    method getIdlePercentage (line 1) | getIdlePercentage(){return 0===this.agents.length?0:Math.round(this.ge...
    method getTotalPredictions (line 1) | getTotalPredictions(){return this.agents.reduce((e,n)=>e+(n.total_pred...
    method getStatusClassEnhanced (line 1) | getStatusClassEnhanced(e){return"inline-flex items-center px-3 py-1 ro...
    method getStatusDotClass (line 1) | getStatusDotClass(e){switch(e.toLowerCase()){case"idle":default:return...

FILE: frontend/dist/ai-market-analysis/163.c6c504bdb900f68b.js
  function g (line 1) | function g(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"Scan Market"),e.k0s())}
  function h (line 1) | function h(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"Scanning..."),e.k0s())}
  function k (line 1) | function k(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"Show History"),e.k0s())}
  function v (line 1) | function v(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"Hide History"),e.k0s())}
  function f (line 1) | function f(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"Adding..."),e.k0s())}
  function b (line 1) | function b(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"Add to Symbol Mgmt"),e.k0...
  function F (line 1) | function F(o,s){1&o&&(e.j41(0,"span"),e.EFF(1,"\u2713 In Portfolio"),e.k...
  function _ (line 1) | function _(o,s){if(1&o){const t=e.RV6();e.j41(0,"tr",54)(1,"td",55)(2,"s...
  function j (line 1) | function j(o,s){if(1&o){const t=e.RV6();e.j41(0,"div",42)(1,"div",43)(2,...
  function x (line 1) | function x(o,s){if(1&o&&(e.j41(0,"tr",54)(1,"td",59),e.EFF(2),e.nI1(3,"d...
  function E (line 1) | function E(o,s){if(1&o&&(e.j41(0,"div",42)(1,"div",43)(2,"div",63)(3,"h3...
  function S (line 1) | function S(o,s){1&o&&(e.j41(0,"div",65),e.nrm(1,"div",66),e.j41(2,"span"...
  function T (line 1) | function T(o,s){if(1&o&&(e.j41(0,"div",68)(1,"div",69)(2,"div",17),e.qSk...
  class o (line 1) | class o{constructor(t,i){this.http=t,this.modalService=i,this.scannerSum...
    method constructor (line 1) | constructor(t,i){this.http=t,this.modalService=i,this.scannerSummary=n...
    method ngOnInit (line 1) | ngOnInit(){this.loadData(),this.loadDiscoveredTickers(),this.loadPortf...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.refreshSubscription.unsubscribe()}
    method loadData (line 1) | loadData(){this.loading=!0,this.error=null,this.http.get("http://local...
    method scanMarket (line 1) | scanMarket(){this.scanning=!0,this.error=null,this.http.post("http://l...
    method loadDiscoveredTickers (line 1) | loadDiscoveredTickers(){this.http.get("http://localhost:8001/ticker-di...
    method loadPortfolioSymbols (line 1) | loadPortfolioSymbols(){this.http.get("http://localhost:8001/api/symbol...
    method isInPortfolio (line 1) | isInPortfolio(t){return this.portfolioSymbols.includes(t?.toUpperCase())}
    method addToPortfolio (line 1) | addToPortfolio(t){const i=t.symbol?.toUpperCase();if(!i||this.isInPort...
    method getSymbolName (line 1) | getSymbolName(t){return t.name||t.symbol||`${t.symbol} Corporation`}
    method toggleHistory (line 1) | toggleHistory(){this.showHistory=!this.showHistory,this.showHistory&&0...
    method loadScanHistory (line 1) | loadScanHistory(){this.http.get("http://localhost:8001/ticker-discover...

FILE: frontend/dist/ai-market-analysis/191.0e7455aac9e2267e.js
  function m (line 1) | function m(n,i){1&n&&(t.j41(0,"div",12),t.nrm(1,"div",13),t.j41(2,"span"...
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    method constructor (line 1) | constructor(e){this.systemStatusService=e,this.isLoadingSummary=!0,thi...
    method ngOnInit (line 1) | ngOnInit(){this.loadMetaEvaluationData()}
    method loadMetaEvaluationData (line 1) | loadMetaEvaluationData(){this.metaEvaluationSummary$=this.systemStatus...
    method getRegimeColor (line 1) | getRegimeColor(e){switch(e.toLowerCase()){case"bull":return"text-green...
    method getPerformanceColor (line 1) | getPerformanceColor(e){return e>=.8?"text-green-600":e>=.6?"text-yello...
    method getRankBadgeColor (line 1) | getRankBadgeColor(e){return 1===e?"bg-yellow-100 text-yellow-800":2===...

FILE: frontend/dist/ai-market-analysis/199.1565a87440b360a7.js
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  class s (line 1) | class s{constructor(e){this.systemStatusService=e,this.systemStatus=null...
    method constructor (line 1) | constructor(e){this.systemStatusService=e,this.systemStatus=null,this....
    method ngOnInit (line 1) | ngOnInit(){this.subscriptions.push(this.systemStatusService.systemStat...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.subscriptions.forEach(e=>e.unsubscribe())}
    method loadData (line 1) | loadData(){this.isLoadingSystemStatus=!0,this.systemStatusService.getS...
    method loadTopHoldings (line 1) | loadTopHoldings(){this.isLoadingHoldings=!0,console.log("Loading top h...
    method loadSignalSummary (line 1) | loadSignalSummary(){this.isLoadingSignals=!0,this.systemStatusService....
    method loadMarketOverview (line 1) | loadMarketOverview(){this.isLoadingMarketOverview=!0,this.systemStatus...
    method loadManagedSymbols (line 1) | loadManagedSymbols(){this.isLoadingSymbols=!0,this.systemStatusService...
    method getMockPrice (line 1) | getMockPrice(e){return{"BTC-USD":65e3,NVDA:777.5,TSLA:245.3,SOXL:45.25...
    method getMockChange (line 1) | getMockChange(e){return{"BTC-USD":3.85,NVDA:.26,TSLA:1.15,SOXL:1.38,CV...
    method getSignalClass (line 1) | getSignalClass(e){const i="status-indicator";switch(e.toLowerCase()){c...
    method formatUptime (line 1) | formatUptime(e){if(!e)return"N/A";const i=Math.floor(e/3600),a=Math.fl...
    method formatPercentage (line 1) | formatPercentage(e){return null==e?"0":(100*e).toFixed(1)}
    method Math (line 1) | get Math(){return Math}
    method getStatusClass (line 1) | getStatusClass(e){const i="status-indicator";switch(e.toLowerCase()){c...

FILE: frontend/dist/ai-market-analysis/287.7634ca6906203692.js
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  class t (line 1) | class t{constructor(n){this.systemStatusService=n,this.isLoadingSummary=...
    method constructor (line 1) | constructor(n){this.systemStatusService=n,this.isLoadingSummary=!0,thi...
    method ngOnInit (line 1) | ngOnInit(){this.loadRAGEventAgentData(),this.loadSectorAnalyses()}
    method loadRAGEventAgentData (line 1) | loadRAGEventAgentData(){this.isLoadingSummary=!0,this.ragEventAgentSum...
    method loadSectorAnalyses (line 1) | loadSectorAnalyses(){this.isLoadingTechnology=!0,this.technologyAnalys...
    method refreshSectorAnalysis (line 1) | refreshSectorAnalysis(n){switch(n){case"technology":this.isRefreshingT...
    method refreshAllSectors (line 1) | refreshAllSectors(){this.isRefreshingAll=!0,this.loadSectorAnalyses(),...
    method getCategoryColor (line 1) | getCategoryColor(n){switch(n.toLowerCase()){case"fed":return"bg-blue-1...
    method getTagColor (line 1) | getTagColor(n){switch(n.toLowerCase()){case"breaking":case"bearish":re...
    method formatNumber (line 1) | formatNumber(n){return new Intl.NumberFormat("en-US").format(n)}
    method formatPercent (line 1) | formatPercent(n){return`${(100*n).toFixed(1)}%`}
    method getCategoryCounts (line 1) | getCategoryCounts(n){const s={};return n.forEach(r=>{const a=r.categor...

FILE: frontend/dist/ai-market-analysis/375.a1953dd3024deea3.js
  function g (line 1) | function g(i,d){if(1&i&&(e.j41(0,"tr",38)(1,"td",39)(2,"div",6)(3,"div",...
  class i (line 1) | class i{constructor(t){this.systemStatusService=t,this.predictions=[]}ng...
    method constructor (line 1) | constructor(t){this.systemStatusService=t,this.predictions=[]}
    method ngOnInit (line 1) | ngOnInit(){this.loadPredictions()}
    method loadPredictions (line 1) | loadPredictions(){this.systemStatusService.getPredictions(50).subscrib...
    method getSignalClass (line 1) | getSignalClass(t){const s="status-indicator";switch(t.toLowerCase()){c...
    method getSignalClassEnhanced (line 1) | getSignalClassEnhanced(t){return"inline-flex items-center px-3 py-1 ro...
    method getSignalDotClass (line 1) | getSignalDotClass(t){switch(t.toLowerCase()){case"buy":case"strong_buy...
    method getBuySignalsCount (line 1) | getBuySignalsCount(){return this.predictions.filter(t=>t.signal_type.t...
    method getSellSignalsCount (line 1) | getSellSignalsCount(){return this.predictions.filter(t=>t.signal_type....
    method getHoldSignalsCount (line 1) | getHoldSignalsCount(){return this.predictions.filter(t=>"hold"===t.sig...
    method getBuyPercentage (line 1) | getBuyPercentage(){return 0===this.predictions.length?0:Math.round(thi...
    method getSellPercentage (line 1) | getSellPercentage(){return 0===this.predictions.length?0:Math.round(th...
    method getHoldPercentage (line 1) | getHoldPercentage(){return 0===this.predictions.length?0:Math.round(th...

FILE: frontend/dist/ai-market-analysis/42.2c13b6a4b4dc13b3.js
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    method constructor (line 1) | constructor(e){this.systemStatusService=e}
    method ngOnInit (line 1) | ngOnInit(){this.riskAnalysis$=this.systemStatusService.getRiskAnalysis...

FILE: frontend/dist/ai-market-analysis/475.a6044d2a5850b07c.js
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  function ne (line 1) | function ne(n,o){if(1&n&&(e.j41(0,"div",73)(1,"span",11),e.EFF(2,"Expect...
  function se (line 1) | function se(n,o){if(1&n&&(e.j41(0,"p",108),e.EFF(1),e.k0s()),2&n){const ...
  function ie (line 1) | function ie(n,o){1&n&&(e.j41(0,"p",108),e.EFF(1," Hold until market cond...
  function oe (line 1) | function oe(n,o){if(1&n&&(e.j41(0,"p",108),e.EFF(1),e.k0s()),2&n){const ...
  function re (line 1) | function re(n,o){if(1&n&&(e.j41(0,"div",69)(1,"div",70)(2,"div")(3,"h6",...
  function ae (line 1) | function ae(n,o){if(1&n){const t=e.RV6();e.j41(0,"div",59)(1,"div",60),e...
  function ce (line 1) | function ce(n,o){if(1&n){const t=e.RV6();e.j41(0,"div")(1,"div",51)(2,"d...
  function de (line 1) | function de(n,o){1&n&&(e.j41(0,"div",87)(1,"p",88),e.EFF(2,"No swing for...
  function le (line 1) | function le(n,o){if(1&n&&(e.j41(0,"div",87)(1,"p",88),e.EFF(2),e.k0s(),e...
  function _e (line 1) | function _e(n,o){if(1&n){const t=e.RV6();e.j41(0,"div",34)(1,"div",35)(2...
  function pe (line 1) | function pe(n,o){1&n&&e.nrm(0,"app-skeleton",90)}
  function ge (line 1) | function ge(n,o){if(1&n&&(e.j41(0,"div",32),e.DNE(1,_e,26,10,"div",33)(2...
  function me (line 1) | function me(n,o){if(1&n&&(e.j41(0,"div",111)(1,"h4",112),e.EFF(2,"Day Fo...
  function fe (line 1) | function fe(n,o){if(1&n&&(e.j41(0,"div",111)(1,"h4",112),e.EFF(2,"Swing ...
  function Fe (line 1) | function Fe(n,o){if(1&n&&(e.j41(0,"div",111)(1,"h4",112),e.EFF(2,"Compar...
  function ue (line 1) | function ue(n,o){if(1&n&&(e.j41(0,"div",32)(1,"div",109),e.DNE(2,me,27,1...
  function ve (line 1) | function ve(n,o){1&n&&(e.j41(0,"div",87)(1,"p",88),e.EFF(2,"No compariso...
  function he (line 1) | function he(n,o){if(1&n&&(e.j41(0,"div",34)(1,"div",35)(2,"h3",37),e.EFF...
  function be (line 1) | function be(n,o){1&n&&e.nrm(0,"app-skeleton",90)}
  function ye (line 1) | function ye(n,o){if(1&n&&(e.j41(0,"div",32),e.DNE(1,he,7,2,"div",33)(2,b...
  function xe (line 1) | function xe(n,o){if(1&n&&(e.j41(0,"option",50),e.EFF(1),e.k0s()),2&n){co...
  function ke (line 1) | function ke(n,o){if(1&n&&(e.j41(0,"option",50),e.EFF(1),e.k0s()),2&n){co...
  function je (line 1) | function je(n,o){if(1&n&&(e.j41(0,"option",50),e.EFF(1),e.k0s()),2&n){co...
  function Ee (line 1) | function Ee(n,o){if(1&n&&(e.j41(0,"span"),e.EFF(1),e.k0s()),2&n){const t...
  function Ce (line 1) | function Ce(n,o){1&n&&(e.j41(0,"span"),e.EFF(1,"Loading managed symbols....
  function Se (line 1) | function Se(n,o){1&n&&(e.j41(0,"span"),e.EFF(1,"Generating..."),e.k0s())}
  function De (line 1) | function De(n,o){1&n&&(e.j41(0,"span"),e.EFF(1,"Generate All Managed Sym...
  function Re (line 1) | function Re(n,o){1&n&&(e.j41(0,"span"),e.EFF(1,"Generating..."),e.k0s())}
  function $e (line 1) | function $e(n,o){1&n&&(e.j41(0,"span"),e.EFF(1,"Generate Both"),e.k0s())}
  function we (line 1) | function we(n,o){if(1&n){const t=e.RV6();e.j41(0,"div",32)(1,"div",34)(2...
  function Ie (line 1) | function Ie(n,o){1&n&&(e.j41(0,"span"),e.EFF(1,"Generate Advanced Foreca...
  function Ge (line 1) | function Ge(n,o){1&n&&(e.j41(0,"span",10),e.qSk(),e.j41(1,"svg",140),e.n...
  function Te (line 1) | function Te(n,o){1&n&&(e.j41(0,"div",143)(1,"div",144),e.qSk(),e.j41(2,"...
  function Le (line 1) | function Le(n,o){if(1&n){const t=e.RV6();e.j41(0,"div",147)(1,"div",36)(...
  function Ne (line 1) | function Ne(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function Ae (line 1) | function Ae(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function Ye (line 1) | function Ye(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function Xe (line 1) | function Xe(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function He (line 1) | function He(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function Me (line 1) | function Me(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function Ve (line 1) | function Ve(n,o){if(1&n&&(e.j41(0,"span",58),e.EFF(1),e.k0s()),2&n){cons...
  function Be (line 1) | function Be(n,o){if(1&n&&(e.j41(0,"div",167)(1,"div",168)(2,"span",169),...
  function Je (line 1) | function Je(n,o){if(1&n&&(e.j41(0,"div",72),e.DNE(1,Be,8,15,"div",166),e...
  function Oe (line 1) | function Oe(n,o){1&n&&(e.j41(0,"div",41),e.EFF(1," No agent contribution...
  function Pe (line 1) | function Pe(n,o){if(1&n&&(e.j41(0,"p",171),e.EFF(1),e.k0s()),2&n){const ...
  function Ue (line 1) | function Ue(n,o){1&n&&(e.j41(0,"p",171),e.EFF(1," Hold until market cond...
  function ze (line 1) | function ze(n,o){if(1&n&&(e.j41(0,"p",171),e.EFF(1),e.k0s()),2&n){const ...
  function We (line 1) | function We(n,o){if(1&n&&(e.j41(0,"div",69)(1,"div",70)(2,"div")(3,"h6",...
  function Ke (line 1) | function Ke(n,o){if(1&n){const t=e.RV6();e.j41(0,"div",59)(1,"div",60),e...
  function Qe (line 1) | function Qe(n,o){if(1&n){const t=e.RV6();e.j41(0,"div")(1,"div",51)(2,"d...
  function qe (line 1) | function qe(n,o){if(1&n&&(e.j41(0,"div",172),e.qSk(),e.j41(1,"svg",173),...
  function Ze (line 1) | function Ze(n,o){1&n&&(e.j41(0,"div",177),e.qSk(),e.j41(1,"svg",173),e.n...
  function et (line 1) | function et(n,o){if(1&n){const t=e.RV6();e.j41(0,"div",32)(1,"div",131)(...
  class n (line 1) | class n{constructor(t){this.http=t,this.dayForecasts=[],this.swingForeca...
    method constructor (line 1) | constructor(t){this.http=t,this.dayForecasts=[],this.swingForecasts=[]...
    method ngOnInit (line 1) | ngOnInit(){this.loadManagedSymbols(),this.loadAllData(),this.loadGener...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.refreshSubscription&&this.refreshSubscription.unsub...
    method toggleDayForecastExpansion (line 1) | toggleDayForecastExpansion(t){this.expandedDayForecasts.has(t)?this.ex...
    method toggleSwingForecastExpansion (line 1) | toggleSwingForecastExpansion(t){this.expandedSwingForecasts.has(t)?thi...
    method toggleAdvancedForecastExpansion (line 1) | toggleAdvancedForecastExpansion(t){this.expandedAdvancedForecasts.has(...
    method isDayForecastExpanded (line 1) | isDayForecastExpanded(t){return this.expandedDayForecasts.has(t)}
    method isSwingForecastExpanded (line 1) | isSwingForecastExpanded(t){return this.expandedSwingForecasts.has(t)}
    method isAdvancedForecastExpanded (line 1) | isAdvancedForecastExpanded(t){return this.expandedAdvancedForecasts.ha...
    method trackBySymbol (line 1) | trackBySymbol(t,s){return s.symbol}
    method sortDayForecasts (line 1) | sortDayForecasts(t){this.daySortColumn===t?this.daySortDirection="asc"...
    method sortSwingForecasts (line 1) | sortSwingForecasts(t){this.swingSortColumn===t?this.swingSortDirection...
    method sortAdvancedForecasts (line 1) | sortAdvancedForecasts(t){this.advancedSortColumn===t?this.advancedSort...
    method compareValues (line 1) | compareValues(t,s,i,r){let c,a;switch(i){case"symbol":c=t.symbol,a=s.s...
    method getSortIcon (line 1) | getSortIcon(t,s,i){return t!==s?"":"asc"===i?"\u25b2":"\u25bc"}
    method parseTechnicalIndicators (line 1) | parseTechnicalIndicators(t){if(!t)return[];if(Array.isArray(t))return ...
    method convertDictToArray (line 1) | convertDictToArray(t){const s=[];return void 0!==t.rsi&&s.push({name:"...
    method parseJsonField (line 1) | parseJsonField(t,s=null){if(!t)return s;if("string"==typeof t)try{retu...
    method loadManagedSymbols (line 1) | loadManagedSymbols(){this.http.get("http://localhost:8001/symbols/mana...
    method startAutoRefresh (line 1) | startAutoRefresh(){this.autoRefresh&&(this.refreshSubscription=(0,F.Y)...
    method stopAutoRefresh (line 1) | stopAutoRefresh(){this.refreshSubscription&&this.refreshSubscription.u...
    method toggleAutoRefresh (line 1) | toggleAutoRefresh(){this.autoRefresh=!this.autoRefresh,this.autoRefres...
    method setActiveTab (line 1) | setActiveTab(t){this.activeTab=t}
    method loadAllData (line 1) | loadAllData(){this.isLoading=!0,this.error=null,this.isLoadingSummary=...
    method loadGeneratedForecasts (line 1) | loadGeneratedForecasts(){this.http.get(`${this.apiUrl}/forecasting/day...
    method saveGeneratedForecasts (line 1) | saveGeneratedForecasts(){this.dayForecasts.length>0&&this.http.post(`$...
    method getSignalStrength (line 1) | getSignalStrength(t){return t>=.8?"Strong":t>=.6?"Medium":t>=.4?"Weak"...
    method getPriceChange (line 1) | getPriceChange(t,s){return t&&s?(s-t)/t*100:0}
    method filteredDayForecasts (line 1) | get filteredDayForecasts(){if(console.log("filteredDayForecasts called...
    method filteredSwingForecasts (line 1) | get filteredSwingForecasts(){return"all"===this.selectedSwingFilter?th...
    method filteredAdvancedForecasts (line 1) | get filteredAdvancedForecasts(){return"all"===this.selectedAdvancedFil...
    method getSignalCount (line 1) | getSignalCount(t,s){if(console.log("getSignalCount called with:",s,"fo...
    method generateForecasts (line 1) | generateForecasts(){this.isLoading=!0,this.isLoadingDayForecasts=!0,th...
    method generateForecastsForAllSymbols (line 1) | generateForecastsForAllSymbols(){this.isLoading=!0,this.isLoadingDayFo...
    method loadForecastComparison (line 1) | loadForecastComparison(){this.isLoadingComparison=!0,this.http.get(`ht...
    method getDayForecast (line 1) | getDayForecast(t,s){this.isLoading=!0,this.isLoadingDayForecasts=!0,th...
    method getSwingForecast (line 1) | getSwingForecast(t,s){this.isLoading=!0,this.isLoadingSwingForecasts=!...
    method getDirectionColor (line 1) | getDirectionColor(t){switch(t.toLowerCase()){case"up":return"text-gree...
    method getSignalStrengthColor (line 1) | getSignalStrengthColor(t){switch(t.toLowerCase()){case"very_strong":re...
    method getConfidenceColor (line 1) | getConfidenceColor(t){return t>=.8?"text-green-600":t>=.6?"text-yellow...
    method getRiskColor (line 1) | getRiskColor(t){return t<=.3?"text-green-600":t<=.6?"text-yellow-600":...
    method getImpactColor (line 1) | getImpactColor(t){switch(t.toLowerCase()){case"critical":return"text-r...
    method formatCurrency (line 1) | formatCurrency(t){return null==t||isNaN(t)?"$0.00":new Intl.NumberForm...
    method formatPercent (line 1) | formatPercent(t){if(null==t||isNaN(t))return"0.0%";const s="string"==t...
    method formatNumber (line 1) | formatNumber(t,s=2){if(null==t||isNaN(t))return`0.${"0".repeat(s)}`;co...
    method formatDateTime (line 1) | formatDateTime(t){if(!t)return"N/A";try{return new Date(t).toLocaleStr...
    method getTimeRemaining (line 1) | getTimeRemaining(t){if(!t)return"N/A";try{const s=new Date(t),i=new Da...
    method formatDate (line 1) | formatDate(t){return new Date(t).toLocaleString()}
    method getTimeUntilExpiry (line 1) | getTimeUntilExpiry(t){const s=new Date,r=new Date(t).getTime()-s.getTi...
    method loadAdvancedForecasts (line 1) | loadAdvancedForecasts(){this.isLoadingAdvanced=!0,this.http.get(`${thi...

FILE: frontend/dist/ai-market-analysis/495.228aa6bf52f78225.js
  function m (line 1) | function m(n,s){1&n&&(e.j41(0,"div",22),e.nrm(1,"div",23),e.j41(2,"span"...
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  function c (line 1) | function c(n,s){if(1&n&&(e.j41(0,"div",33)(1,"div",34)(2,"h3",35),e.EFF(...
  function _ (line 1) | function _(n,s){1&n&&(e.j41(0,"div",43),e.EFF(1," No reports generated y...
  function b (line 1) | function b(n,s){if(1&n){const t=e.RV6();e.j41(0,"div",18)(1,"div",45)(2,...
  function f (line 1) | function f(n,s){if(1&n&&(e.j41(0,"div",17),e.DNE(1,b,20,13,"div",44),e.k...
  function h (line 1) | function h(n,s){if(1&n&&(e.j41(0,"div",51)(1,"h3",19),e.EFF(2),e.k0s(),e...
  class n (line 1) | class n{constructor(t,o){this.http=t,this.modalService=o,this.loading=!0...
    method constructor (line 1) | constructor(t,o){this.http=t,this.modalService=o,this.loading=!0,this....
    method ngOnInit (line 1) | ngOnInit(){this.loadSystemSummary()}
    method loadSystemSummary (line 1) | loadSystemSummary(){this.loading=!0,this.error=null,this.http.get("htt...
    method generateReport (line 1) | generateReport(t){this.generating=!0,this.currentReport=t;let o="";swi...
    method generateExplanation (line 1) | generateExplanation(t){this.explaining=!0,this.currentExplanation=t;co...
    method getExplanationData (line 1) | getExplanationData(t){switch(t){case"trade_decision":return{symbol:"BT...
    method downloadReport (line 1) | downloadReport(t){this.modalService.info(`Downloading ${t.report_type}...
    method viewReport (line 1) | viewReport(t){this.modalService.info(`Viewing ${t.report_type} report ...

FILE: frontend/dist/ai-market-analysis/51.e042df33c0d25b44.js
  function y (line 1) | function y(a,n){if(1&a&&(t.qex(0),t.j41(1,"div",28)(2,"div",8)(3,"div",2...
  function v (line 1) | function v(a,n){if(1&a&&(t.j41(0,"div",26),t.DNE(1,y,71,23,"ng-container...
  function f (line 1) | function f(a,n){1&a&&t.nrm(0,"app-skeleton",48),2&a&&t.Y8G("metrics",t.l...
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  function h (line 1) | function h(a,n){if(1&a&&(t.j41(0,"div",16)(1,"div",29)(2,"div",54)(3,"sp...
  function b (line 1) | function b(a,n){if(1&a&&(t.j41(0,"div",52),t.DNE(1,h,17,14,"div",53),t.k...
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  class a (line 1) | class a{constructor(e,s){this.systemStatusService=e,this.http=s,this.dat...
    method constructor (line 1) | constructor(e,s){this.systemStatusService=e,this.http=s,this.dataSourc...
    method ngOnInit (line 1) | ngOnInit(){this.analytics$=this.systemStatusService.getAnalytics(),thi...
    method getTotalPredictions (line 1) | getTotalPredictions(e){return e.reduce((s,i)=>s+i.total_predictions,0)}
    method getAverageAccuracy (line 1) | getAverageAccuracy(e){return 0===e.length?0:e.reduce((i,l)=>i+l.accura...
    method getTrendClass (line 1) | getTrendClass(e){switch(e.toLowerCase()){case"bullish":return"text-gre...
    method formatNumber (line 1) | formatNumber(e){return new Intl.NumberFormat("en-US").format(e)}
    method formatPercent (line 1) | formatPercent(e){return`${(100*e).toFixed(1)}%`}
    method loadDataSources (line 1) | loadDataSources(){this.loadingDataSources=!0,this.http.get(`${c.c.apiU...
    method loadDataQuality (line 1) | loadDataQuality(){this.loadingDataQuality=!0,this.http.get(`${c.c.apiU...
    method getSourceIcon (line 1) | getSourceIcon(e){return{"Yahoo Finance":"YF","Alpha Vantage":"AV","IEX...
    method getSourceColor (line 1) | getSourceColor(e){return{"Yahoo Finance":"from-green-400 to-green-600"...
    method getQualityStatusColor (line 1) | getQualityStatusColor(e){switch(e?.toLowerCase()){case"excellent":retu...

FILE: frontend/dist/ai-market-analysis/529.1a5d29d0338c5faf.js
  function m (line 1) | function m(n,r){if(1&n&&(e.j41(0,"div",15)(1,"div",16)(2,"div",9)(3,"div...
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  function c (line 1) | function c(n,r){if(1&n&&(e.j41(0,"div",41)(1,"div",17)(2,"div",42)(3,"sp...
  function p (line 1) | function p(n,r){if(1&n&&(e.j41(0,"div",39),e.DNE(1,c,9,7,"div",40),e.k0s...
  function u (line 1) | function u(n,r){1&n&&(e.j41(0,"div",46),e.nrm(1,"div",47),e.j41(2,"p",48...
  function f (line 1) | function f(n,r){if(1&n&&(e.j41(0,"div",37),e.nrm(1,"div",49),e.j41(2,"sp...
  function v (line 1) | function v(n,r){if(1&n&&(e.j41(0,"div",41)(1,"div",17)(2,"div",42)(3,"sp...
  function b (line 1) | function b(n,r){if(1&n&&(e.j41(0,"div",39),e.DNE(1,v,10,11,"div",40),e.k...
  function x (line 1) | function x(n,r){1&n&&(e.j41(0,"div",46),e.nrm(1,"div",50),e.j41(2,"p",48...
  class n (line 1) | class n{constructor(t){this.systemStatusService=t}ngOnInit(){this.abTest...
    method constructor (line 1) | constructor(t){this.systemStatusService=t}
    method ngOnInit (line 1) | ngOnInit(){this.abTestingSummary$=this.systemStatusService.getABTestin...
    method formatNumber (line 1) | formatNumber(t){return new Intl.NumberFormat("en-US").format(t)}
    method formatPercent (line 1) | formatPercent(t){return`${(100*t).toFixed(1)}%`}
    method getStatusColor (line 1) | getStatusColor(t){switch(t.toLowerCase()){case"running":return"text-bl...
    method getVariantColor (line 1) | getVariantColor(t){switch(t.toUpperCase()){case"A":return"bg-gradient-...
    method getVariantTextColor (line 1) | getVariantTextColor(t){switch(t.toUpperCase()){case"A":return"text-blu...
    method getResultColor (line 1) | getResultColor(t){return t>0?"bg-gradient-to-br from-green-400 to-gree...
    method getPerformanceColor (line 1) | getPerformanceColor(t){return t>0?"text-green-600":"text-red-600"}
    method getWinsCount (line 1) | getWinsCount(t){return t.filter(i=>i.performance_gain>0).length}

FILE: frontend/dist/ai-market-analysis/647.2dd8e3fb1400f786.js
  function b (line 1) | function b(o,l){1&o&&(e.j41(0,"div",44),e.nrm(1,"div",45),e.j41(2,"span"...
  function p (line 1) | function p(o,l){if(1&o&&(e.j41(0,"div",47)(1,"div",48)(2,"div",49),e.qSk...
  function y (line 1) | function y(o,l){if(1&o&&(e.j41(0,"div",55)(1,"div",56)(2,"h3",57),e.EFF(...
  function h (line 1) | function h(o,l){if(1&o){const t=e.RV6();e.j41(0,"button",79),e.bIt("clic...
  function _ (line 1) | function _(o,l){if(1&o&&(e.j41(0,"div",72)(1,"div")(2,"span",73),e.EFF(3...
  function f (line 1) | function f(o,l){if(1&o&&(e.j41(0,"div",68)(1,"h3",69),e.EFF(2,"Search Re...
  function x (line 1) | function x(o,l){1&o&&(e.j41(0,"div",80),e.EFF(1," No symbols found. Add ...
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  function v (line 1) | function v(o,l){if(1&o&&(e.j41(0,"div",81)(1,"table",82)(2,"thead",83)(3...
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  function j (line 1) | function j(o,l){if(1&o&&(e.j41(0,"div",99),e.DNE(1,E,17,16,"div",100),e....
  class o (line 1) | class o{constructor(t,i){this.http=t,this.modalService=i,this.loading=!0...
    method constructor (line 1) | constructor(t,i){this.http=t,this.modalService=i,this.loading=!0,this....
    method ngOnInit (line 1) | ngOnInit(){this.loadSummary(),this.loadSymbols(),this.loadTradingDecis...
    method loadSummary (line 1) | loadSummary(){this.loading=!0,this.error=null,this.http.get("http://lo...
    method loadSymbols (line 1) | loadSymbols(){this.refreshing=!0;let t="http://localhost:8001/api/symb...
    method addSymbol (line 1) | addSymbol(){this.newSymbol.symbol&&this.newSymbol.name&&this.newSymbol...
    method addFromSearch (line 1) | addFromSearch(t){this.newSymbol.symbol=t.symbol,this.newSymbol.name=t....
    method removeSymbol (line 1) | removeSymbol(t){this.modalService.confirm(`Are you sure you want to re...
    method searchSymbols (line 1) | searchSymbols(){this.searchQuery.trim()?this.http.get(`http://localhos...
    method loadTradingDecisions (line 1) | loadTradingDecisions(){this.loadingDecisions=!0,this.http.get("http://...
    method viewSymbolDetails (line 1) | viewSymbolDetails(t){this.modalService.info(`View details for ${t.symb...
    method editSymbol (line 1) | editSymbol(t){this.modalService.info(`Edit functionality coming soon f...
    method resetForm (line 1) | resetForm(){this.newSymbol={symbol:"",name:"",sector:"",industry:"",st...
    method getStatusClass (line 1) | getStatusClass(t){switch(t){case"active":return"bg-green-100 text-gree...
    method getActionClass (line 1) | getActionClass(t){switch(t.toLowerCase()){case"buy":return"bg-green-10...

FILE: frontend/dist/ai-market-analysis/655.5cffda334b24f339.js
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  function I (line 1) | function I(n,i){if(1&n&&(t.j41(0,"table",65)(1,"thead",66)(2,"tr")(3,"th...
  function $ (line 1) | function $(n,i){1&n&&(t.j41(0,"div",44)(1,"div",45),t.EFF(2,"No compress...
  class n (line 1) | class n{constructor(e){this.systemStatusService=e,this.isLoadingSummary=...
    method constructor (line 1) | constructor(e){this.systemStatusService=e,this.isLoadingSummary=!0,thi...
    method ngOnInit (line 1) | ngOnInit(){this.loadLatentPatternData()}
    method loadLatentPatternData (line 1) | loadLatentPatternData(){this.latentPatternSummary$=this.systemStatusSe...
    method getPatternTypeColor (line 1) | getPatternTypeColor(e){switch(e.toLowerCase()){case"trend":return"bg-g...
    method getMethodColor (line 1) | getMethodColor(e){switch(e.toLowerCase()){case"pca":return"bg-blue-100...
    method getConfidenceColor (line 1) | getConfidenceColor(e){return e>=.8?"text-green-600":e>=.6?"text-yellow...

FILE: frontend/dist/ai-market-analysis/661.b69c22096672b7b3.js
  function c (line 1) | function c(n,a){if(1&n&&(e.j41(0,"p",46),e.EFF(1),e.k0s()),2&n){const t=...
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  function C (line 1) | function C(n,a){1&n&&(e.j41(0,"div",54),e.DNE(1,R,2,0,"div",55),e.k0s())...
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  function $ (line 1) | function $(n,a){if(1&n&&(e.j41(0,"div",54),e.DNE(1,S,13,6,"div",57),e.nI...
  function I (line 1) | function I(n,a){1&n&&(e.j41(0,"div",65)(1,"p",66),e.EFF(2,"Failed to loa...
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  function M (line 1) | function M(n,a){1&n&&(e.j41(0,"tr")(1,"td",71)(2,"div",72),e.DNE(3,T,1,0...
  function P (line 1) | function P(n,a){if(1&n&&(e.j41(0,"tr",75)(1,"td",76)(2,"span",60),e.EFF(...
  function Y (line 1) | function Y(n,a){1&n&&(e.j41(0,"div",65)(1,"p",66),e.EFF(2,"Failed to loa...
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  function Q (line 1) | function Q(n,a){if(1&n&&(e.j41(0,"div",37)(1,"div",31)(2,"h2",32),e.EFF(...
  class n (line 1) | class n{constructor(t){this.http=t,this.summary=null,this.signals=[],thi...
    method constructor (line 1) | constructor(t){this.http=t,this.summary=null,this.signals=[],this.qual...
    method ngOnInit (line 1) | ngOnInit(){this.loadAllData(),this.startAutoRefresh()}
    method ngOnDestroy (line 1) | ngOnDestroy(){this.refreshSubscription&&this.refreshSubscription.unsub...
    method loadAllData (line 1) | loadAllData(){this.loadSummary(),this.loadSignals(),this.loadQualityMe...
    method startAutoRefresh (line 1) | startAutoRefresh(){this.refreshSubscription=(0,u.Y)(this.REFRESH_INTER...
    method loadSummary (line 1) | loadSummary(){this.loadingSummary=!0,this.errorSummary=!1,this.http.ge...
    method loadSignals (line 1) | loadSignals(){this.loadingSignals=!0,this.errorSignals=!1,this.http.ge...
    method loadQualityMetrics (line 1) | loadQualityMetrics(){this.loadingQuality=!0,this.errorQuality=!1,this....
    method loadPerformanceData (line 1) | loadPerformanceData(){this.loadingPerformance=!0,this.errorPerformance...
    method refreshData (line 1) | refreshData(){this.loadAllData()}
    method getSignalTypeColor (line 1) | getSignalTypeColor(t){switch(t.toLowerCase()){case"strong_buy":return"...
    method getRegimeColor (line 1) | getRegimeColor(t){switch(t.toLowerCase()){case"bull":return"text-green...
    method getBlendModeColor (line 1) | getBlendModeColor(t){switch(t.toLowerCase()){case"weighted_average":re...
    method getQualityScoreColor (line 1) | getQualityScoreColor(t){return t>=.8?"text-green-600":t>=.6?"text-yell...
    method formatTimestamp (line 1) | formatTimestamp(t){return new Date(t).toLocaleString()}
    method formatPercentage (line 1) | formatPercentage(t){return null==t||isNaN(t)?"N/A":(100*t).toFixed(1)+...

FILE: frontend/dist/ai-market-analysis/703.18f42843dd1545ee.js
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  function S (line 1) | function S(s,r){1&s&&(t.j41(0,"div",20),t.nrm(1,"app-skeleton",42),t.k0s...
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  function b (line 1) | function b(s,r){1&s&&(t.j41(0,"div",62),t.nrm(1,"app-skeleton",63),t.k0s...
  class s (line 1) | class s{constructor(e){this.systemStatusService=e,this.systemStatus=null...
    method constructor (line 1) | constructor(e){this.systemStatusService=e,this.systemStatus=null,this....
    method ngOnInit (line 1) | ngOnInit(){this.loadSystemStatus(),this.loadAgentsStatus()}
    method loadSystemStatus (line 1) | loadSystemStatus(){this.isLoadingSystemStatus=!0,console.log("Loading ...
    method loadAgentsStatus (line 1) | loadAgentsStatus(){this.isLoadingAgentsStatus=!0,console.log("Loading ...
    method getStatusClass (line 1) | getStatusClass(e){const n="status-indicator";switch(e.toLowerCase()){c...
    method getStatusClassEnhanced (line 1) | getStatusClassEnhanced(e){return"inline-flex items-center px-3 py-1 ro...
    method getStatusDotClass (line 1) | getStatusDotClass(e){switch(e.toLowerCase()){case"idle":default:return...
    method formatUptime (line 1) | formatUptime(e){if(!e)return"N/A";const n=Math.floor(e/3600),a=Math.fl...
    method formatPercentage (line 1) | formatPercentage(e){return null==e?"0":(100*e).toFixed(1)}

FILE: frontend/dist/ai-market-analysis/823.46eced0dc508790e.js
  function l (line 1) | function l(i,r){if(1&i&&(e.j41(0,"div",6)(1,"div",7)(2,"div",8)(3,"div",...
  function m (line 1) | function m(i,r){if(1&i&&(e.j41(0,"div",7)(1,"div",29)(2,"h3",30),e.EFF(3...
  function u (line 1) | function u(i,r){if(1&i&&(e.j41(0,"div",41)(1,"div",9)(2,"div",10)(3,"div...
  function c (line 1) | function c(i,r){if(1&i&&(e.j41(0,"div",7)(1,"div",29)(2,"h3",30),e.EFF(3...
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  function p (line 1) | function p(i,r){if(1&i&&(e.j41(0,"div",7)(1,"div",29)(2,"h3",30),e.EFF(3...
  class i (line 1) | class i{constructor(t){this.systemStatusService=t}ngOnInit(){this.agentR...
    method constructor (line 1) | constructor(t){this.systemStatusService=t}
    method ngOnInit (line 1) | ngOnInit(){this.agentRouterSummary$=this.systemStatusService.getAgentR...
    method getRegimeColor (line 1) | getRegimeColor(t){switch(t.toLowerCase()){case"bull":return"bg-green-1...
    method getVolatilityLevel (line 1) | getVolatilityLevel(t){const n="string"==typeof t?parseFloat(t):t;retur...
    method getVolatilityColor (line 1) | getVolatilityColor(t){switch(t.toLowerCase()){case"low":return"bg-gree...
    method getSentimentColor (line 1) | getSentimentColor(t){switch(t.toLowerCase()){case"bullish":return"bg-g...
    method getRiskColor (line 1) | getRiskColor(t){switch(t.toLowerCase()){case"low":return"bg-green-100 ...
    method formatNumber (line 1) | formatNumber(t){return new Intl.NumberFormat("en-US").format(t)}
    method formatPercent (line 1) | formatPercent(t){return`${(100*t).toFixed(1)}%`}

FILE: frontend/dist/ai-market-analysis/931.e5ad0fa75c438903.js
  function c (line 1) | function c(n,o){if(1&n&&(e.j41(0,"div",9)(1,"div",4)(2,"div",10)(3,"div"...
  function m (line 1) | function m(n,o){if(1&n&&(e.j41(0,"div",10)(1,"div",25)(2,"div",26)(3,"di...
  class n (line 1) | class n{constructor(t){this.systemStatusService=t}ngOnInit(){this.execut...
    method constructor (line 1) | constructor(t){this.systemStatusService=t}
    method ngOnInit (line 1) | ngOnInit(){this.executionAgentSummary$=this.systemStatusService.getExe...

FILE: frontend/dist/ai-market-analysis/971.0769e91eec9e5f38.js
  function g (line 1) | function g(i,n){if(1&i&&(e.j41(0,"div",15)(1,"div",16)(2,"div",17)(3,"di...
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  function v (line 1) | function v(i,n){if(1&i&&(e.j41(0,"div",17)(1,"div",68),e.EFF(2),e.k0s(),...
  function k (line 1) | function k(i,n){if(1&i&&(e.j41(0,"div",17)(1,"div",68),e.EFF(2),e.k0s(),...
  function f (line 1) | function f(i,n){if(1&i&&(e.j41(0,"tr")(1,"td",72),e.EFF(2),e.nI1(3,"date...
  function _ (line 1) | function _(i,n){if(1&i&&(e.j41(0,"div",32)(1,"div",33)(2,"h3",34),e.EFF(...
  class i (line 1) | class i{constructor(t){this.systemStatusService=t,this.Object=Object}ngO...
    method constructor (line 1) | constructor(t){this.systemStatusService=t,this.Object=Object}
    method ngOnInit (line 1) | ngOnInit(){this.rlStrategyAgentSummary$=this.systemStatusService.getRL...

FILE: frontend/dist/ai-market-analysis/common.e153dc049982e832.js
  function a (line 1) | function a(t,o){1&t&&(e.j41(0,"div",8),e.nrm(1,"div",9)(2,"div",10)(3,"d...
  function c (line 1) | function c(t,o){1&t&&e.nrm(0,"div",10)}
  function _ (line 1) | function _(t,o){1&t&&e.nrm(0,"div",10)}
  function m (line 1) | function m(t,o){if(1&t&&(e.j41(0,"div",15),e.DNE(1,_,1,0,"div",13),e.k0s...
  function g (line 1) | function g(t,o){if(1&t&&(e.j41(0,"div",11)(1,"div",12),e.DNE(2,c,1,0,"di...
  function k (line 1) | function k(t,o){1&t&&(e.j41(0,"div",18),e.nrm(1,"div",10)(2,"div",10),e....
  function v (line 1) | function v(t,o){if(1&t&&(e.j41(0,"div",16),e.DNE(1,k,3,4,"div",17),e.k0s...
  function f (line 1) | function f(t,o){1&t&&(e.j41(0,"div",19),e.nrm(1,"div",9)(2,"div",20),e.k...
  function p (line 1) | function p(t,o){1&t&&(e.j41(0,"div",23),e.nrm(1,"div",24),e.j41(2,"div",...
  function h (line 1) | function h(t,o){if(1&t&&(e.j41(0,"div",21),e.DNE(1,p,5,4,"div",22),e.k0s...
  function C (line 1) | function C(t,o){1&t&&(e.j41(0,"div",26),e.SdG(1),e.k0s())}
  function b (line 1) | function b(t,o){if(1&t&&(e.j41(0,"div",1),e.DNE(1,a,5,4,"div",2)(2,g,4,2...
  class t (line 1) | class t{constructor(){this.show=!0,this.type="card",this.tableHeaders=["...
    method constructor (line 1) | constructor(){this.show=!0,this.type="card",this.tableHeaders=["Header...

FILE: frontend/dist/ai-market-analysis/main.d4fc7414650d71e6.js
  class de (line 1) | class de{constructor(R){this.http=R,this.apiUrl=_e.c.apiUrl,this.systemS...
    method constructor (line 1) | constructor(R){this.http=R,this.apiUrl=_e.c.apiUrl,this.systemStatusSu...
    method getSystemStatus (line 1) | getSystemStatus(){return this.http.get(`${this.apiUrl}/status`).pipe((...
    method getAgentsStatus (line 1) | getAgentsStatus(){return this.http.get(`${this.apiUrl}/agents/status`)}
    method getPredictions (line 1) | getPredictions(R){return this.http.get(R?`${this.apiUrl}/predictions?l...
    method startPolling (line 1) | startPolling(){(0,ee.Y)(3e4).pipe((0,ue.Z)(0),(0,K.n)(()=>this.getSyst...
    method refreshSystemStatus (line 1) | refreshSystemStatus(){return this.getSystemStatus()}
    method getTopHoldings (line 1) | getTopHoldings(){return this.http.get(`${this.apiUrl}/symbols/managed-...
    method getSignalSummary (line 1) | getSignalSummary(){return this.http.get(`${this.apiUrl}/predictions?li...
    method getMarketIndices (line 1) | getMarketIndices(){return(0,B.of)([{name:"S&P 500",value:4567.89,chang...
    method getSectorPerformance (line 1) | getSectorPerformance(){return(0,B.of)([{name:"Technology",performance:...
    method getSymbols (line 1) | getSymbols(){return this.http.get(`${this.apiUrl}/api/symbols`)}
    method getManagedSymbolsWithMarketData (line 1) | getManagedSymbolsWithMarketData(){return this.http.get(`${this.apiUrl}...
    method getABTestingSummary (line 1) | getABTestingSummary(){return this.http.get(`${this.apiUrl}/ab-testing`...
    method getABTestingPerformance (line 1) | getABTestingPerformance(){return this.http.get(`${this.apiUrl}/ab-test...
    method getAgentMonitorSummary (line 1) | getAgentMonitorSummary(){return this.http.get(`${this.apiUrl}/agent-mo...
    method getAgentPerformanceMetrics (line 1) | getAgentPerformanceMetrics(){return this.http.get(`${this.apiUrl}/agen...
    method getAgentFeedback (line 1) | getAgentFeedback(){return this.http.get(`${this.apiUrl}/agent-monitor/...
    method getOnlineLearningStatus (line 1) | getOnlineLearningStatus(){return this.http.get(`${this.apiUrl}/agent-m...
    method getAgentRouterSummary (line 1) | getAgentRouterSummary(){return this.getMarketRegime().pipe((0,V.T)(R=>...
    method getMarketRegime (line 1) | getMarketRegime(){return this.http.get(`${this.apiUrl}/agent-router/re...
    method getAgentWeights (line 1) | getAgentWeights(){return this.http.get(`${this.apiUrl}/agent-router/we...
    method getRoutingDecisions (line 1) | getRoutingDecisions(){return this.http.get(`${this.apiUrl}/agent-route...
    method getRoutingPerformance (line 1) | getRoutingPerformance(){return(0,B.of)({})}
    method getExecutionAgentSummary (line 1) | getExecutionAgentSummary(){return(0,B.of)({total_orders:150,filled_ord...
    method getOrders (line 1) | getOrders(){return(0,B.of)([])}
    method getPositions (line 1) | getPositions(){return(0,B.of)([])}
    method getExecutionStrategies (line 1) | getExecutionStrategies(){return(0,B.of)([])}
    method getExecutionPerformance (line 1) | getExecutionPerformance(){return(0,B.of)({})}
    method getRiskAnalysis (line 1) | getRiskAnalysis(){return this.http.get(`${this.apiUrl}/risk-analysis`)...
    method getRiskMetrics (line 1) | getRiskMetrics(){return this.http.get(`${this.apiUrl}/risk-analysis/me...
    method getMarketRisk (line 1) | getMarketRisk(){return this.http.get(`${this.apiUrl}/risk-analysis/mar...
    method getRiskAlerts (line 1) | getRiskAlerts(){return this.http.get(`${this.apiUrl}/risk-analysis/ale...
    method getAnalytics (line 1) | getAnalytics(){return this.http.get(`${this.apiUrl}/status`).pipe((0,V...
    method getAgentPerformance (line 1) | getAgentPerformance(){return(0,B.of)([])}
    method getMarketTrends (line 1) | getMarketTrends(){return(0,B.of)({trend_direction:"up",trend_strength:...
    method getSystemMetrics (line 1) | getSystemMetrics(){return(0,B.of)({system_load:.65,response_time:125,e...
    method getMetaEvaluationSummary (line 1) | getMetaEvaluationSummary(){return this.http.get(`${this.apiUrl}/meta-e...
    method getAgentRankings (line 1) | getAgentRankings(R){return this.http.get(`${this.apiUrl}/meta-evaluati...
    method getRotationDecisions (line 1) | getRotationDecisions(R=10){return this.http.get(`${this.apiUrl}/meta-e...
    method getRegimeAnalysis (line 1) | getRegimeAnalysis(){return this.http.get(`${this.apiUrl}/meta-evaluati...
    method getLatentPatternSummary (line 1) | getLatentPatternSummary(){return this.http.get(`${this.apiUrl}/latent-...
    method getLatentPatterns (line 1) | getLatentPatterns(R,ye=50){const Ie=new URLSearchParams;R&&Ie.append("...
    method getCompressionMetrics (line 1) | getCompressionMetrics(R){return this.http.get(`${this.apiUrl}/latent-p...
    method getPatternInsights (line 1) | getPatternInsights(R,ye=10){const Ie=new URLSearchParams;R&&Ie.append(...
    method getRLStrategyAgentSummary (line 1) | getRLStrategyAgentSummary(){return this.http.get(`${this.apiUrl}/rl-st...
    method getRLTrainingStatus (line 1) | getRLTrainingStatus(){return this.http.get(`${this.apiUrl}/rl-strategy...
    method getRLPerformance (line 1) | getRLPerformance(){return this.http.get(`${this.apiUrl}/rl-strategy-ag...
    method getRLActions (line 1) | getRLActions(){return this.http.get(`${this.apiUrl}/rl-strategy-agent/...
    method getRAGEventAgentSummary (line 1) | getRAGEventAgentSummary(){return this.http.get(`${this.apiUrl}/rag-eve...
    method getRAGDocuments (line 1) | getRAGDocuments(){return this.http.get(`${this.apiUrl}/rag-event-agent...
    method getRAGAnalysis (line 1) | getRAGAnalysis(){return this.http.get(`${this.apiUrl}/rag-event-agent/...
    method getRAGPerformance (line 1) | getRAGPerformance(){return this.http.get(`${this.apiUrl}/rag-event-age...
    method getSectorAnalysis (line 1) | getSectorAnalysis(R){return this.http.get(`${this.apiUrl}/rag-event-ag...
    method constructor (line 1) | constructor(s){this._doc=s}
    method constructor (line 1) | constructor(R){R&&(this._subscribe=R)}
    method lift (line 1) | lift(R){const ye=new de;return ye.source=this,ye.operator=R,ye}
    method subscribe (line 1) | subscribe(R,ye,Ie){const le=function Y(de){return de&&de instanceof d....
    method _trySubscribe (line 1) | _trySubscribe(R){try{return this._subscribe(R)}catch(ye){R.error(ye)}}
    method forEach (line 1) | forEach(R,ye){return new(ye=De(ye))((Ie,le)=>{const ve=new d.Ms({next:...
    method _subscribe (line 1) | _subscribe(R){var ye;return null===(ye=this.source)||void 0===ye?void ...
    method pipe (line 1) | pipe(...R){return(0,B.m)(R)(this)}
    method toPromise (line 1) | toPromise(R){return new(R=De(R))((ye,Ie)=>{let le;this.subscribe(ve=>l...
    method constructor (line 1) | constructor(ge){super(),this.isStopped=!1,ge?(this.destination=ge,(0,V...
    method create (line 1) | static create(ge,je,ut){return new Ie(ge,je,ut)}
    method next (line 1) | next(ge){this.isStopped?Pe(function _e(we){return De("N",we,void 0)}(g...
    method error (line 1) | error(ge){this.isStopped?Pe(function K(we){return De("E",void 0,we)}(g...
    method complete (line 1) | complete(){this.isStopped?Pe(ue,this):(this.isStopped=!0,this._complet...
    method unsubscribe (line 1) | unsubscribe(){this.closed||(this.isStopped=!0,super.unsubscribe(),this...
    method _next (line 1) | _next(ge){this.destination.next(ge)}
    method _error (line 1) | _error(ge){try{this.destination.error(ge)}finally{this.unsubscribe()}}
    method _complete (line 1) | _complete(){try{this.destination.complete()}finally{this.unsubscribe()}}
  class B (line 1) | class B{constructor(){this.modalSubject=new d.t(null),this.modal$=this.m...
    method constructor (line 1) | constructor(){this.modalSubject=new d.t(null),this.modal$=this.modalSu...
    method show (line 1) | show(ue){this.modalSubject.next(ue)}
    method hide (line 1) | hide(){this.modalSubject.next(null)}
    method success (line 1) | success(ue,K="Success"){this.show({title:K,message:ue,type:"success",c...
    method error (line 1) | error(ue,K="Error"){this.show({title:K,message:ue,type:"error",confirm...
    method warning (line 1) | warning(ue,K="Warning"){this.show({title:K,message:ue,type:"warning",c...
    method info (line 1) | info(ue,K="Information"){this.show({title:K,message:ue,type:"info",con...
    method confirm (line 1) | confirm(ue,K="Confirm",_e="Confirm",De="Cancel"){return new Promise(oe...
    method makeCurrent (line 1) | static makeCurrent(){(0,V.ZD)(new B)}
    method onAndCancel (line 1) | onAndCancel(s,o,u){return s.addEventListener(o,u),()=>{s.removeEventLi...
    method dispatchEvent (line 1) | dispatchEvent(s,o){s.dispatchEvent(o)}
    method remove (line 1) | remove(s){s.parentNode&&s.parentNode.removeChild(s)}
    method createElement (line 1) | createElement(s,o){return(o=o||this.getDefaultDocument()).createElemen...
    method createHtmlDocument (line 1) | createHtmlDocument(){return document.implementation.createHTMLDocument...
    method getDefaultDocument (line 1) | getDefaultDocument(){return document}
    method isElementNode (line 1) | isElementNode(s){return s.nodeType===Node.ELEMENT_NODE}
    method isShadowRoot (line 1) | isShadowRoot(s){return s instanceof DocumentFragment}
    method getGlobalEventTarget (line 1) | getGlobalEventTarget(s,o){return"window"===o?window:"document"===o?s:"...
    method getBaseHref (line 1) | getBaseHref(s){const o=function ue(){return ee=ee||document.querySelec...
    method resetBaseElement (line 1) | resetBaseElement(){ee=null}
    method getUserAgent (line 1) | getUserAgent(){return window.navigator.userAgent}
    method getCookie (line 1) | getCookie(s){return(0,V._b)(document.cookie,s)}
  class $ (line 1) | class $ extends V.VF{constructor(){super(...arguments),this.supportsDOME...
    method constructor (line 1) | constructor(){super(...arguments),this.supportsDOMEvents=!0}
    method constructor (line 1) | constructor(ee,ue,K,_e,De,oe){super(ee),this.onFinalize=De,this.should...
    method unsubscribe (line 1) | unsubscribe(){var ee;if(!this.shouldUnsubscribe||this.shouldUnsubscrib...
  class B (line 1) | class B extends ${static makeCurrent(){(0,V.ZD)(new B)}onAndCancel(s,o,u...
    method constructor (line 1) | constructor(){this.modalSubject=new d.t(null),this.modal$=this.modalSu...
    method show (line 1) | show(ue){this.modalSubject.next(ue)}
    method hide (line 1) | hide(){this.modalSubject.next(null)}
    method success (line 1) | success(ue,K="Success"){this.show({title:K,message:ue,type:"success",c...
    method error (line 1) | error(ue,K="Error"){this.show({title:K,message:ue,type:"error",confirm...
    method warning (line 1) | warning(ue,K="Warning"){this.show({title:K,message:ue,type:"warning",c...
    method info (line 1) | info(ue,K="Information"){this.show({title:K,message:ue,type:"info",con...
    method confirm (line 1) | confirm(ue,K="Confirm",_e="Confirm",De="Cancel"){return new Promise(oe...
    method makeCurrent (line 1) | static makeCurrent(){(0,V.ZD)(new B)}
    method onAndCancel (line 1) | onAndCancel(s,o,u){return s.addEventListener(o,u),()=>{s.removeEventLi...
    method dispatchEvent (line 1) | dispatchEvent(s,o){s.dispatchEvent(o)}
    method remove (line 1) | remove(s){s.parentNode&&s.parentNode.removeChild(s)}
    method createElement (line 1) | createElement(s,o){return(o=o||this.getDefaultDocument()).createElemen...
    method createHtmlDocument (line 1) | createHtmlDocument(){return document.implementation.createHTMLDocument...
    method getDefaultDocument (line 1) | getDefaultDocument(){return document}
    method isElementNode (line 1) | isElementNode(s){return s.nodeType===Node.ELEMENT_NODE}
    method isShadowRoot (line 1) | isShadowRoot(s){return s instanceof DocumentFragment}
    method getGlobalEventTarget (line 1) | getGlobalEventTarget(s,o){return"window"===o?window:"document"===o?s:"...
    method getBaseHref (line 1) | getBaseHref(s){const o=function ue(){return ee=ee||document.querySelec...
    method resetBaseElement (line 1) | resetBaseElement(){ee=null}
    method getUserAgent (line 1) | getUserAgent(){return window.navigator.userAgent}
    method getCookie (line 1) | getCookie(s){return(0,V._b)(document.cookie,s)}
  class a (line 1) | class a{build(){return new XMLHttpRequest}static{this.\u0275fac=function...
    method build (line 1) | build(){return new XMLHttpRequest}
    method constructor (line 1) | constructor(o,u){this._zone=u,this._eventNameToPlugin=new Map,o.forEac...
    method addEventListener (line 1) | addEventListener(o,u,f){return this._findPluginFor(u).addEventListener...
    method getZone (line 1) | getZone(){return this._zone}
    method _findPluginFor (line 1) | _findPluginFor(o){let u=this._eventNameToPlugin.get(o);if(u)return u;i...
    method constructor (line 1) | constructor(o,u,f,m={}){this.doc=o,this.appId=u,this.nonce=f,this.plat...
    method addStyles (line 1) | addStyles(o){for(const u of o)1===this.changeUsageCount(u,1)&&this.onS...
    method removeStyles (line 1) | removeStyles(o){for(const u of o)this.changeUsageCount(u,-1)<=0&&this....
    method ngOnDestroy (line 1) | ngOnDestroy(){const o=this.styleNodesInDOM;o&&(o.forEach(u=>u.remove()...
    method addHost (line 1) | addHost(o){this.hostNodes.add(o);for(const u of this.getAllStyles())th...
    method removeHost (line 1) | removeHost(o){this.hostNodes.delete(o)}
    method getAllStyles (line 1) | getAllStyles(){return this.styleRef.keys()}
    method onStyleAdded (line 1) | onStyleAdded(o){for(const u of this.hostNodes)this.addStyleToHost(u,o)}
    method onStyleRemoved (line 1) | onStyleRemoved(o){const u=this.styleRef;u.get(o)?.elements?.forEach(f=...
    method collectServerRenderedStyles (line 1) | collectServerRenderedStyles(){const o=this.doc.head?.querySelectorAll(...
    method changeUsageCount (line 1) | changeUsageCount(o,u){const f=this.styleRef;if(f.has(o)){const m=f.get...
    method getStyleElement (line 1) | getStyleElement(o,u){const f=this.styleNodesInDOM,m=f?.get(u);if(m?.pa...
    method addStyleToHost (line 1) | addStyleToHost(o,u){const f=this.getStyleElement(o,u),m=this.styleRef,...
    method resetHostNodes (line 1) | resetHostNodes(){const o=this.hostNodes;o.clear(),o.add(this.doc.head)}
    method constructor (line 1) | constructor(o,u,f,m,D,M,I,F=null){this.eventManager=o,this.sharedStyle...
    method createRenderer (line 1) | createRenderer(o,u){if(!o||!u)return this.defaultRenderer;this.platfor...
    method getOrCreateRenderer (line 1) | getOrCreateRenderer(o,u){const f=this.rendererByCompId;let m=f.get(u.i...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.rendererByCompId.clear()}
    method constructor (line 1) | constructor(o){super(o)}
    method supports (line 1) | supports(o){return!0}
    method addEventListener (line 1) | addEventListener(o,u,f){return o.addEventListener(u,f,!1),()=>this.rem...
    method removeEventListener (line 1) | removeEventListener(o,u,f){return o.removeEventListener(u,f)}
    method constructor (line 1) | constructor(o){super(o)}
    method supports (line 1) | supports(o){return null!=a.parseEventName(o)}
    method addEventListener (line 1) | addEventListener(o,u,f){const m=a.parseEventName(u),D=a.eventCallback(...
    method parseEventName (line 1) | static parseEventName(o){const u=o.toLowerCase().split("."),f=u.shift(...
    method matchEventFullKeyCode (line 1) | static matchEventFullKeyCode(o,u){let f=lr[o.key]||o.key,m="";return u...
    method eventCallback (line 1) | static eventCallback(o,u,f){return m=>{a.matchEventFullKeyCode(m,o)&&f...
    method _normalizeKey (line 1) | static _normalizeKey(o){return"esc"===o?"escape":o}
    method constructor (line 1) | constructor(o){}
    method withServerTransition (line 1) | static withServerTransition(o){return{ngModule:a,providers:[{provide:d...
    method constructor (line 1) | constructor(o){this._doc=o}
    method getTitle (line 1) | getTitle(){return this._doc.title}
    method setTitle (line 1) | setTitle(o){this._doc.title=o||""}
    method constructor (line 1) | constructor(){this.contexts=new Map}
    method onChildOutletCreated (line 1) | onChildOutletCreated(o,u){const f=this.getOrCreateContext(o);f.outlet=...
    method onChildOutletDestroyed (line 1) | onChildOutletDestroyed(o){const u=this.getContext(o);u&&(u.outlet=null...
    method onOutletDeactivated (line 1) | onOutletDeactivated(){const o=this.contexts;return this.contexts=new M...
    method onOutletReAttached (line 1) | onOutletReAttached(o){this.contexts=o}
    method getOrCreateContext (line 1) | getOrCreateContext(o){let u=this.getContext(o);return u||(u=new xu,thi...
    method getContext (line 1) | getContext(o){return this.contexts.get(o)||null}
    method constructor (line 1) | constructor(){this.activated=null,this._activatedRoute=null,this.name=...
    method activatedComponentRef (line 1) | get activatedComponentRef(){return this.activated}
    method ngOnChanges (line 1) | ngOnChanges(o){if(o.name){const{firstChange:u,previousValue:f}=o.name;...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.isTrackedInParentContexts(this.name)&&this.parentCo...
    method isTrackedInParentContexts (line 1) | isTrackedInParentContexts(o){return this.parentContexts.getContext(o)?...
    method ngOnInit (line 1) | ngOnInit(){this.initializeOutletWithName()}
    method initializeOutletWithName (line 1) | initializeOutletWithName(){if(this.parentContexts.onChildOutletCreated...
    method isActivated (line 1) | get isActivated(){return!!this.activated}
    method component (line 1) | get component(){if(!this.activated)throw new d.wOt(4012,!1);return thi...
    method activatedRoute (line 1) | get activatedRoute(){if(!this.activated)throw new d.wOt(4012,!1);retur...
    method activatedRouteData (line 1) | get activatedRouteData(){return this._activatedRoute?this._activatedRo...
    method detach (line 1) | detach(){if(!this.activated)throw new d.wOt(4012,!1);this.location.det...
    method attach (line 1) | attach(o,u){this.activated=o,this._activatedRoute=u,this.location.inse...
    method deactivate (line 1) | deactivate(){if(this.activated){const o=this.component;this.activated....
    method activateWith (line 1) | activateWith(o,u){if(this.isActivated)throw new d.wOt(4013,!1);this._a...
    method constructor (line 1) | constructor(){this.outletDataSubscriptions=new Map}
    method bindActivatedRouteToOutletComponent (line 1) | bindActivatedRouteToOutletComponent(o){this.unsubscribeFromRouteData(o...
    method unsubscribeFromRouteData (line 1) | unsubscribeFromRouteData(o){this.outletDataSubscriptions.get(o)?.unsub...
    method subscribeToRouteData (line 1) | subscribeToRouteData(o){const{activatedRoute:u}=o,f=Jr([u.queryParams,...
    method buildTitle (line 1) | buildTitle(o){let u,f=o.root;for(;void 0!==f;)u=this.getResolvedTitleF...
    method getResolvedTitleForRoute (line 1) | getResolvedTitleForRoute(o){return o.data[ho]}
    method constructor (line 1) | constructor(o){super(),this.title=o}
    method updateTitle (line 1) | updateTitle(o){const u=this.buildTitle(o);void 0!==u&&this.title.setTi...
    method constructor (line 1) | constructor(){this.componentLoaders=new WeakMap,this.childrenLoaders=n...
    method loadComponent (line 1) | loadComponent(o){if(this.componentLoaders.get(o))return this.component...
    method loadChildren (line 1) | loadChildren(o,u){if(this.childrenLoaders.get(u))return this.childrenL...
    method shouldProcessUrl (line 1) | shouldProcessUrl(o){return!0}
    method extract (line 1) | extract(o){return o}
    method merge (line 1) | merge(o,u){return o}
    method hasRequestedNavigation (line 1) | get hasRequestedNavigation(){return 0!==this.navigationId}
    method constructor (line 1) | constructor(){this.currentNavigation=null,this.currentTransition=null,...
    method complete (line 1) | complete(){this.transitions?.complete()}
    method handleNavigationRequest (line 1) | handleNavigationRequest(o){const u=++this.navigationId;this.transition...
    method setupNavigations (line 1) | setupNavigations(o,u,f){return this.transitions=new fn.t({id:0,current...
    method cancelNavigationTransition (line 1) | cancelNavigationTransition(o,u,f){const m=new Ot(o.id,this.urlSerializ...
    method isUpdatingInternalState (line 1) | isUpdatingInternalState(){return this.currentTransition?.extractedUrl....
    method isUpdatedBrowserUrl (line 1) | isUpdatedBrowserUrl(){return this.urlHandlingStrategy.extract(this.url...
    method constructor (line 1) | constructor(){super(...arguments),this.location=(0,d.WQX)(V.aZ),this.u...
    method getCurrentUrlTree (line 1) | getCurrentUrlTree(){return this.currentUrlTree}
    method getRawUrlTree (line 1) | getRawUrlTree(){return this.rawUrlTree}
    method restoredState (line 1) | restoredState(){return this.location.getState()}
    method browserPageId (line 1) | get browserPageId(){return"computed"!==this.canceledNavigationResoluti...
    method getRouterState (line 1) | getRouterState(){return this.routerState}
    method createStateMemento (line 1) | createStateMemento(){return{rawUrlTree:this.rawUrlTree,currentUrlTree:...
    method registerNonRouterCurrentEntryChangeListener (line 1) | registerNonRouterCurrentEntryChangeListener(o){return this.location.su...
    method handleRouterEvent (line 1) | handleRouterEvent(o,u){if(o instanceof ws)this.stateMemento=this.creat...
    method setBrowserUrl (line 1) | setBrowserUrl(o,u){const f=this.urlSerializer.serialize(o);if(this.loc...
    method restoreHistory (line 1) | restoreHistory(o,u=!1){if("computed"===this.canceledNavigationResoluti...
    method resetState (line 1) | resetState(o){this.routerState=this.stateMemento.routerState,this.curr...
    method resetUrlToCurrentUrlTree (line 1) | resetUrlToCurrentUrlTree(){this.location.replaceState(this.urlSerializ...
    method generateNgRouterState (line 1) | generateNgRouterState(o,u){return"computed"===this.canceledNavigationR...
    method currentUrlTree (line 1) | get currentUrlTree(){return this.stateManager.getCurrentUrlTree()}
    method rawUrlTree (line 1) | get rawUrlTree(){return this.stateManager.getRawUrlTree()}
    method events (line 1) | get events(){return this._events}
    method routerState (line 1) | get routerState(){return this.stateManager.getRouterState()}
    method constructor (line 1) | constructor(){this.disposed=!1,this.isNgZoneEnabled=!1,this.console=(0...
    method subscribeToNavigationEvents (line 1) | subscribeToNavigationEvents(){const o=this.navigationTransitions.event...
    method resetRootComponentType (line 1) | resetRootComponentType(o){this.routerState.root.component=o,this.navig...
    method initialNavigation (line 1) | initialNavigation(){this.setUpLocationChangeListener(),this.navigation...
    method setUpLocationChangeListener (line 1) | setUpLocationChangeListener(){this.nonRouterCurrentEntryChangeSubscrip...
    method navigateToSyncWithBrowser (line 1) | navigateToSyncWithBrowser(o,u,f){const m={replaceUrl:!0},D=f?.navigati...
    method url (line 1) | get url(){return this.serializeUrl(this.currentUrlTree)}
    method getCurrentNavigation (line 1) | getCurrentNavigation(){return this.navigationTransitions.currentNaviga...
    method lastSuccessfulNavigation (line 1) | get lastSuccessfulNavigation(){return this.navigationTransitions.lastS...
    method resetConfig (line 1) | resetConfig(o){this.config=o.map(G),this.navigated=!1}
    method ngOnDestroy (line 1) | ngOnDestroy(){this.dispose()}
    method dispose (line 1) | dispose(){this.navigationTransitions.complete(),this.nonRouterCurrentE...
    method createUrlTree (line 1) | createUrlTree(o,u={}){const{relativeTo:f,queryParams:m,fragment:D,quer...
    method navigateByUrl (line 1) | navigateByUrl(o,u={skipLocationChange:!1}){const f=Ln(o)?o:this.parseU...
    method navigate (line 1) | navigate(o,u={skipLocationChange:!1}){return function Yh(a){for(let s=...
    method serializeUrl (line 1) | serializeUrl(o){return this.urlSerializer.serialize(o)}
    method parseUrl (line 1) | parseUrl(o){try{return this.urlSerializer.parse(o)}catch{return this.u...
    method isActive (line 1) | isActive(o,u){let f;if(f=!0===u?{...jr}:!1===u?{...Zh}:u,Ln(o))return ...
    method removeEmptyProps (line 1) | removeEmptyProps(o){return Object.entries(o).reduce((u,[f,m])=>(null!=...
    method scheduleNavigation (line 1) | scheduleNavigation(o,u,f,m,D){if(this.disposed)return Promise.resolve(...
    method constructor (line 1) | constructor(o,u,f,m,D,M){this.router=o,this.route=u,this.tabIndexAttri...
    method setTabIndexIfNotOnNativeEl (line 1) | setTabIndexIfNotOnNativeEl(o){null!=this.tabIndexAttribute||this.isAnc...
    method ngOnChanges (line 1) | ngOnChanges(o){this.isAnchorElement&&this.updateHref(),this.onChanges....
    method routerLink (line 1) | set routerLink(o){null!=o?(this.commands=Array.isArray(o)?o:[o],this.s...
    method onClick (line 1) | onClick(o,u,f,m,D){const M=this.urlTree;return!!(null===M||this.isAnch...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.subscription?.unsubscribe()}
    method updateHref (line 1) | updateHref(){const o=this.urlTree;this.href=null!==o&&this.locationStr...
    method applyAttributeValue (line 1) | applyAttributeValue(o,u){const f=this.renderer,m=this.el.nativeElement...
    method urlTree (line 1) | get urlTree(){return null===this.commands?null:this.router.createUrlTr...
    method constructor (line 1) | constructor(o,u,f,m,D){this.router=o,this.injector=f,this.preloadingSt...
    method setUpPreloading (line 1) | setUpPreloading(){this.subscription=this.router.events.pipe((0,me.p)(o...
    method preload (line 1) | preload(){return this.processRoutes(this.injector,this.router.config)}
    method ngOnDestroy (line 1) | ngOnDestroy(){this.subscription&&this.subscription.unsubscribe()}
    method processRoutes (line 1) | processRoutes(o,u){const f=[];for(const m of u){m.providers&&!m._injec...
    method preloadConfig (line 1) | preloadConfig(o,u){return this.preloadingStrategy.preload(u,()=>{let f...
    method constructor (line 1) | constructor(o,u,f,m,D={}){this.urlSerializer=o,this.transitions=u,this...
    method init (line 1) | init(){"disabled"!==this.options.scrollPositionRestoration&&this.viewp...
    method createScrollEvents (line 1) | createScrollEvents(){return this.transitions.events.subscribe(o=>{o in...
    method consumeScrollEvents (line 1) | consumeScrollEvents(){return this.transitions.events.subscribe(o=>{o i...
    method scheduleScrollEvent (line 1) | scheduleScrollEvent(o,u){var f=this;this.zone.runOutsideAngular((0,$e....
    method ngOnDestroy (line 1) | ngOnDestroy(){this.routerEventsSubscription?.unsubscribe(),this.scroll...
    method constructor (line 1) | constructor(o){}
    method forRoot (line 1) | static forRoot(o,u){return{ngModule:a,providers:[Xu,[],{provide:es,mul...
    method forChild (line 1) | static forChild(o){return{ngModule:a,providers:[{provide:es,multi:!0,u...
    method constructor (line 1) | constructor(o){this.router=o,this.navigationSections=[{title:"Overview...
    method ngOnInit (line 1) | ngOnInit(){this.updateCurrentItem(),this.router.events.subscribe(()=>{...
    method updateCurrentItem (line 1) | updateCurrentItem(){const o=this.router.url;this.navigationSections.fo...
    method setCurrentItem (line 1) | setCurrentItem(o){this.navigationSections.forEach(u=>{u.items.forEach(...
    method toggleSection (line 1) | toggleSection(o){o.collapsed=!o.collapsed}
    method getNavItemClass (line 1) | getNavItemClass(o){const u="sidebar-nav-item flex items-center px-3 py...
    method constructor (line 1) | constructor(o){this.systemStatusService=o,this.pageTitle="Dashboard",t...
    method ngOnInit (line 1) | ngOnInit(){this.systemStatusService.getSystemStatus().subscribe(o=>{th...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.refreshInterval&&clearInterval(this.refreshInterval)}
    method toggleAutoRefresh (line 1) | toggleAutoRefresh(){this.autoRefresh?this.startAutoRefresh():this.stop...
    method startAutoRefresh (line 1) | startAutoRefresh(){this.refreshInterval=setInterval(()=>{this.refreshD...
    method stopAutoRefresh (line 1) | stopAutoRefresh(){this.refreshInterval&&(clearInterval(this.refreshInt...
    method refreshData (line 1) | refreshData(){this.isLoading=!0,this.systemStatusService.refreshSystem...
    method getStatusIndicatorClass (line 1) | getStatusIndicatorClass(){const o="w-3 h-3 rounded-full";switch(this.s...
    method constructor (line 1) | constructor(o){this.modalService=o,this.config=null,this.subscription=...
    method ngOnInit (line 1) | ngOnInit(){this.subscription.add(this.modalService.modal$.subscribe(o=...
    method ngOnDestroy (line 1) | ngOnDestroy(){this.subscription.unsubscribe()}
    method onConfirm (line 1) | onConfirm(){this.config?.onConfirm?this.config.onConfirm():this.modalS...
    method onCancel (line 1) | onCancel(){this.config?.onCancel?this.config.onCancel():this.modalServ...
    method getIconClass (line 1) | getIconClass(o){switch(o){case"success":return"bg-green-100 text-green...
    method getConfirmButtonClass (line 1) | getConfirmButtonClass(o){const u="inline-flex w-full justify-center ro...
    method constructor (line 1) | constructor(o){this.systemStatusService=o,this.title="AI Market Analys...
    method ngOnInit (line 1) | ngOnInit(){this.systemStatusService.startPolling()}
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    method getParentElement (line 1) | getParentElement(o){return lf(o)}
    method query (line 1) | query(o,u,f){return df(o,u,f)}
    method computeStyle (line 1) | computeStyle(o,u,f){return f||""}
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    method ngOnDestroy (line 1) | ngOnDestroy(){this.flush()}
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    method constructor (line 1) | constructor(o,u){this._zone=u,this._eventNameToPlugin=new Map,o.forEac...
    method addEventListener (line 1) | addEventListener(o,u,f){return this._findPluginFor(u).addEventListener...
    method getZone (line 1) | getZone(){return this._zone}
    method _findPluginFor (line 1) | _findPluginFor(o){let u=this._eventNameToPlugin.get(o);if(u)return u;i...
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    method addHost (line 1) | addHost(o){this.hostNodes.add(o);for(const u of this.getAllStyles())th...
    method removeHost (line 1) | removeHost(o){this.hostNodes.delete(o)}
    method getAllStyles (line 1) | getAllStyles(){return this.styleRef.keys()}
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    method collectServerRenderedStyles (line 1) | collectServerRenderedStyles(){const o=this.doc.head?.querySelectorAll(...
    method changeUsageCount (line 1) | changeUsageCount(o,u){const f=this.styleRef;if(f.has(o)){const m=f.get...
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    method addStyleToHost (line 1) | addStyleToHost(o,u){const f=this.getStyleElement(o,u),m=this.styleRef,...
    method resetHostNodes (line 1) | resetHostNodes(){const o=this.hostNodes;o.clear(),o.add(this.doc.head)}
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    method ngOnDestroy (line 1) | ngOnDestroy(){this.rendererByCompId.clear()}
    method constructor (line 1) | constructor(o){super(o)}
    method supports (line 1) | supports(o){return!0}
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    method removeEventListener (line 1) | removeEventListener(o,u,f){return o.removeEventListener(u,f)}
    method constructor (line 1) | constructor(o){super(o)}
    method supports (line 1) | supports(o){return null!=a.parseEventName(o)}
    method addEventListener (line 1) | addEventListener(o,u,f){const m=a.parseEventName(u),D=a.eventCallback(...
    method parseEventName (line 1) | static parseEventName(o){const u=o.toLowerCase().split("."),f=u.shift(...
    method matchEventFullKeyCode (line 1) | static matchEventFullKeyCode(o,u){let f=lr[o.key]||o.key,m="";return u...
    method eventCallback (line 1) | static eventCallback(o,u,f){return m=>{a.matchEventFullKeyCode(m,o)&&f...
    method _normalizeKey (line 1) | static _normalizeKey(o){return"esc"===o?"escape":o}
    method constructor (line 1) | constructor(o){}
    method withServerTransition (line 1) | static withServerTransition(o){return{ngModule:a,providers:[{provide:d...
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    method getTitle (line 1) | getTitle(){return this._doc.title}
    method setTitle (line 1) | setTitle(o){this._doc.title=o||""}
    method constructor (line 1) | constructor(){this.contexts=new Map}
    method onChildOutletCreated (line 1) | onChildOutletCreated(o,u){const f=this.getOrCreateContext(o);f.outlet=...
    method onChildOutletDestroyed (line 1) | onChildOutletDestroyed(o){const u=this.getContext(o);u&&(u.outlet=null...
    method onOutletDeactivated (line 1) | onOutletDeactivated(){const o=this.contexts;return this.contexts=new M...
    method onOutletReAttached (line 1) | onOutletReAttached(o){this.contexts=o}
    method getOrCreateContext (line 1) | getOrCreateContext(o){let u=this.getContext(o);return u||(u=new xu,thi...
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    method constructor (line 1) | constructor(){this.activated=null,this._activatedRoute=null,this.name=...
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    method ngOnChanges (line 1) | ngOnChanges(o){if(o.name){const{firstChange:u,previousValue:f}=o.name;...
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    method co

[
  {
    "path": ".dockerignore",
    "chars": 660,
    "preview": "# Frontend build artifacts and dependencies\nfrontend/node_modules/\nfrontend/dist/\nfrontend/.angular/\nfrontend/.nx/\n\n# Py"
  },
  {
    "path": "CHANGELOG.md",
    "chars": 152067,
    "preview": "# 📋 AI Market Analysis System - Changelog\n\n## [v4.27.0] - 2025-10-11 - Sector-Specific Market Intelligence & Ticker Disc"
  },
  {
    "path": "DEVELOPMENT.md",
    "chars": 20820,
    "preview": "# 🛠️ AI Market Analysis System - Development Guide\n\nThis guide provides comprehensive information for developers working"
  },
  {
    "path": "Dockerfile",
    "chars": 1111,
    "preview": "# AI Market Analysis System Dockerfile\nFROM python:3.11-slim\n\n# Set working directory\nWORKDIR /app\n\n# Set environment va"
  },
  {
    "path": "FORECASTING_DASHBOARD_FIX.md",
    "chars": 5170,
    "preview": "# Forecasting Dashboard Loading Fix\n\n## Issue\nThe Forecasting Dashboard was stuck in an infinite loading state:\n- Day Fo"
  },
  {
    "path": "MISSING_ENDPOINTS_FIX.md",
    "chars": 5339,
    "preview": "# Missing Endpoints Fix Summary\n\n## Issue\nDashboard was showing empty data for:\n- Portfolio Performance (Total Value, To"
  },
  {
    "path": "PORTFOLIO_LOADING_INDICATORS.md",
    "chars": 6903,
    "preview": "# Portfolio Loading Indicators Enhancement\n\n## Overview\nEnhanced the Portfolio section loading indicators with more prom"
  },
  {
    "path": "POSTGRESQL_MIGRATION_SUMMARY.md",
    "chars": 4423,
    "preview": "# PostgreSQL Migration Summary\n\n## Overview\nSuccessfully migrated the AI Market Analysis System from JSON/SQLite-based s"
  },
  {
    "path": "PRICE_TRACKING_IMPROVEMENT.md",
    "chars": 6641,
    "preview": "# Price Tracking Improvement Summary\n\n## Objective\nEnsure that:\n1. **Current Price** = Real-time market price from live "
  },
  {
    "path": "QUICK_REFERENCE.md",
    "chars": 19422,
    "preview": "# 🚀 AI Market Analysis System - Quick Reference\n\n## 📊 Current System Status (v4.19.0)\n\n### ✅ **Active Components**\n- **1"
  },
  {
    "path": "README.md",
    "chars": 62711,
    "preview": "# 🧠 AI Market Analysis System\n\n[![Version](https://img.shields.io/badge/version-4.27.0-blue.svg)](CHANGELOG.md)\n[![Statu"
  },
  {
    "path": "REFACTORING_SUMMARY.md",
    "chars": 5887,
    "preview": "# Route Modularization Summary\n\n## Overview\nSuccessfully refactored `start_system_final.py` from **3,634 lines** to **32"
  },
  {
    "path": "ROADMAP.md",
    "chars": 51026,
    "preview": "# 🚀 AI Market Analysis System - Strategic Roadmap\n\n[![Version](https://img.shields.io/badge/current-4.27.0-blue.svg)](CH"
  },
  {
    "path": "SYSTEM_STATUS_LOADING_INDICATORS.md",
    "chars": 6554,
    "preview": "# System Status Loading Indicators\n\n## Overview\nAdded comprehensive loading indicators to the System Status page to prov"
  },
  {
    "path": "TRADING_DASHBOARD_REMOVAL.md",
    "chars": 3764,
    "preview": "# Trading Dashboard Removal\n\n## Overview\nSuccessfully removed the trading dashboard from both frontend and backend compo"
  },
  {
    "path": "TRADING_DECISIONS_FIX.md",
    "chars": 5875,
    "preview": "# Trading Decisions Endpoint Fix\n\n## Issue\nThe trading decisions endpoint (`/symbols/trading-decisions`) was only return"
  },
  {
    "path": "VERSION.md",
    "chars": 29553,
    "preview": "# Version Control\n\n## Current Version: v4.27.0\n\n### Release Notes\n- **Date**: 2025-10-11\n- **Major Features**: Sector-Sp"
  },
  {
    "path": "agents/base_agent.py",
    "chars": 8541,
    "preview": "\"\"\"\nBase Agent Class for AI Market Analysis System\n\nThis module provides the abstract base class that all specialized ag"
  },
  {
    "path": "agents/correlation_agent.py",
    "chars": 18552,
    "preview": "\"\"\"\nCorrelation Agent for AI Market Analysis System\n\nThis agent analyzes cross-asset correlations and market relationshi"
  },
  {
    "path": "agents/day_forecast_agent.py",
    "chars": 36780,
    "preview": "\"\"\"\nDay Forecast Agent\n\nThis agent provides 1-day horizon forecasting with fast technical indicators.\nOptimized for day "
  },
  {
    "path": "agents/ensemble_agent.py",
    "chars": 25035,
    "preview": "\"\"\"\nEnsemble Signal Blender Agent\n\nThis agent combines outputs from all other agents using weighted voting based on\nconf"
  },
  {
    "path": "agents/event_impact_agent.py",
    "chars": 28559,
    "preview": "\"\"\"\nEvent Impact Agent for AI Market Analysis System\n\nThis agent analyzes and scores market events and their short/long-"
  },
  {
    "path": "agents/execution_router_agent.py",
    "chars": 24987,
    "preview": "\"\"\"\nExecution Router Agent\n\nThis agent handles order routing to different brokers and execution venues.\nSupports paper t"
  },
  {
    "path": "agents/forecast_agent.py",
    "chars": 25712,
    "preview": "\"\"\"\nForecast Agent for AI Market Analysis System\n\nThis agent predicts price and volatility using machine learning models"
  },
  {
    "path": "agents/latent_pattern_agent.py",
    "chars": 29455,
    "preview": "\"\"\"\nLatent Pattern Detector Agent for AI Market Analysis System\n\nThis agent uses PCA and Autoencoders to compress market"
  },
  {
    "path": "agents/llm_explain_agent.py",
    "chars": 32240,
    "preview": "import asyncio\nimport logging\nfrom datetime import datetime, timedelta\nfrom typing import List, Dict, Optional, Any, Tup"
  },
  {
    "path": "agents/meta_agent.py",
    "chars": 28276,
    "preview": "\"\"\"\nMeta Agent for AI Market Analysis System\n\nThis agent chooses the best strategy logic based on current market regime\n"
  },
  {
    "path": "agents/meta_evaluation_agent.py",
    "chars": 28053,
    "preview": "\"\"\"\nMeta-Evaluation Agent for AI Market Analysis System\n\nThis agent tracks which agents perform best under which regimes"
  },
  {
    "path": "agents/momentum_agent.py",
    "chars": 31116,
    "preview": "\"\"\"\nMomentum Agent for AI Market Analysis System\n\nThis module implements the MomentumAgent class that detects price tren"
  },
  {
    "path": "agents/position_tracker_agent.py",
    "chars": 22013,
    "preview": "\"\"\"\nPosition Tracker Agent\n\nThis agent handles real-time position tracking with leverage, margin, and enhanced P&L calcu"
  },
  {
    "path": "agents/rag_event_agent.py",
    "chars": 31992,
    "preview": "\"\"\"\nLLM-RAG Powered Event Agent for AI Market Analysis System\n\nThis agent uses Retrieval-Augmented Generation (RAG) with"
  },
  {
    "path": "agents/rebalance_agent.py",
    "chars": 26939,
    "preview": "\"\"\"\nRebalance Agent\n\nThis agent handles automated portfolio rebalancing based on target allocations,\nrisk parameters, an"
  },
  {
    "path": "agents/report_agent.py",
    "chars": 17796,
    "preview": "import asyncio\nimport logging\nfrom datetime import datetime, timedelta\nfrom typing import List, Dict, Optional, Any, Tup"
  },
  {
    "path": "agents/risk_agent.py",
    "chars": 20939,
    "preview": "\"\"\"\nRisk Agent for AI Market Analysis System\n\nThis agent analyzes portfolio risk, volatility, and risk-adjusted returns\n"
  },
  {
    "path": "agents/risk_control_agent.py",
    "chars": 24157,
    "preview": "\"\"\"\nRisk Control Agent\n\nThis agent enforces risk limits and provides real-time risk monitoring.\nHandles exposure limits,"
  },
  {
    "path": "agents/rl_strategy_agent.py",
    "chars": 41370,
    "preview": "\"\"\"\nReinforcement Learning Strategy Agent for AI Market Analysis System\n\nThis agent uses reinforcement learning (PPO/DQN"
  },
  {
    "path": "agents/sentiment_agent.py",
    "chars": 19506,
    "preview": "\"\"\"\nSentiment Agent for AI Market Analysis System\n\nThis agent analyzes news articles, social media sentiment, and market"
  },
  {
    "path": "agents/strategy_agent.py",
    "chars": 26658,
    "preview": "\"\"\"\nStrategy Agent for AI Market Analysis System\n\nThis agent aggregates signals from all other agents and executes tradi"
  },
  {
    "path": "agents/swing_forecast_agent.py",
    "chars": 41156,
    "preview": "\"\"\"\nSwing Forecast Agent\n\nThis agent provides 3-10 day horizon forecasting with event and macro awareness.\nOptimized for"
  },
  {
    "path": "agents/ticker_ranker_agent.py",
    "chars": 34584,
    "preview": "\"\"\"\nTickerRankerAgent - Market Opportunity Ranking Engine\n\nThis agent ranks ticker opportunities based on:\n- Sharpe rati"
  },
  {
    "path": "agents/ticker_scanner_agent.py",
    "chars": 28144,
    "preview": "\"\"\"\nTickerScannerAgent - Market Ticker Discovery Engine\n\nThis agent scans the market universe for promising tickers base"
  },
  {
    "path": "agents/volatility_agent.py",
    "chars": 25870,
    "preview": "\"\"\"\nVolatility Agent for AI Market Analysis System\n\nThis agent analyzes and predicts volatility patterns to provide\nvola"
  },
  {
    "path": "agents/volume_agent.py",
    "chars": 26760,
    "preview": "\"\"\"\nVolume Agent for AI Market Analysis System\n\nThis agent analyzes volume patterns and volume-price relationships\nto pr"
  },
  {
    "path": "alerts/__init__.py",
    "chars": 291,
    "preview": "\"\"\"\nAlert system module for AI Market Analysis System.\n\"\"\"\n\nfrom .alert_system import AlertSystem, Alert, AlertRule, Ale"
  },
  {
    "path": "alerts/alert_system.py",
    "chars": 26199,
    "preview": "\"\"\"\nReal-time Alert and Notification System\n\nThis module provides comprehensive alerting capabilities for\nthe AI Market "
  },
  {
    "path": "analytics/__init__.py",
    "chars": 272,
    "preview": "\"\"\"\nAnalytics module for AI Market Analysis System.\n\"\"\"\n\nfrom .performance_tracker import PerformanceTracker, AgentPerfo"
  },
  {
    "path": "analytics/performance_tracker.py",
    "chars": 30146,
    "preview": "\"\"\"\nAgent Performance Analytics System\n\nThis module provides comprehensive performance tracking and analytics\nfor all AI"
  },
  {
    "path": "api/main.py",
    "chars": 20928,
    "preview": "\"\"\"\nFastAPI service for AI Market Analysis System\n\nThis module provides REST API endpoints for external access to the\nma"
  },
  {
    "path": "backtesting/__init__.py",
    "chars": 276,
    "preview": "\"\"\"\nBacktesting module for AI Market Analysis System.\n\"\"\"\n\nfrom .backtest_engine import BacktestEngine, BacktestResults,"
  },
  {
    "path": "backtesting/backtest_engine.py",
    "chars": 26474,
    "preview": "\"\"\"\nBacktesting Engine for AI Market Analysis System\n\nThis module provides comprehensive backtesting capabilities for\nte"
  },
  {
    "path": "config/init.sql",
    "chars": 22822,
    "preview": "-- PostgreSQL initialization script for AI Market Analysis System\n-- This script sets up the database with proper config"
  },
  {
    "path": "config/prometheus.yml",
    "chars": 512,
    "preview": "global:\n  scrape_interval: 15s\n  evaluation_interval: 15s\n\nrule_files:\n  # - \"first_rules.yml\"\n  # - \"second_rules.yml\"\n"
  },
  {
    "path": "context/context_managers.py",
    "chars": 23726,
    "preview": "\"\"\"\nContext Managers for AI Market Analysis System\n\nThis module provides the shared context classes that all agents use "
  },
  {
    "path": "context/regime_detection.py",
    "chars": 20518,
    "preview": "\"\"\"\nMarket Regime Detection using Markov Models\n\nThis module implements sophisticated market regime detection using\nHidd"
  },
  {
    "path": "data/alternative_data_sources.py",
    "chars": 21935,
    "preview": "\"\"\"\nAlternative Data Sources for AI Market Analysis System\n\nThis module provides alternative data sources including soci"
  },
  {
    "path": "data/data_ingestors.py",
    "chars": 23529,
    "preview": "\"\"\"\nData Ingestion Modules for AI Market Analysis System\n\nThis module provides data ingestion capabilities for various m"
  },
  {
    "path": "data/data_quality_validator.py",
    "chars": 19055,
    "preview": "\"\"\"\nData Quality Validation and Enhancement for AI Market Analysis System\n\nThis module provides comprehensive data quali"
  },
  {
    "path": "data/enhanced_data_sources.py",
    "chars": 24757,
    "preview": "\"\"\"\nEnhanced Data Sources for AI Market Analysis System\n\nThis module provides additional data sources including Alpha Va"
  },
  {
    "path": "data/realtime_feeds.py",
    "chars": 20089,
    "preview": "\"\"\"\nReal-time Data Feeds for AI Market Analysis System\n\nThis module provides real-time market data integration using Web"
  },
  {
    "path": "docker-compose.postgres.yml",
    "chars": 1205,
    "preview": "version: '3.8'\n\nservices:\n  postgres:\n    image: postgres:15-alpine\n    container_name: ai_market_postgres\n    environme"
  },
  {
    "path": "docker-compose.yml",
    "chars": 1798,
    "preview": "services:\n  # FastAPI service for external API access\n  api-service:\n    build: .\n    container_name: market-ai-api\n    "
  },
  {
    "path": "force_portfolio_view.py",
    "chars": 2595,
    "preview": "#!/usr/bin/env python3\n\"\"\"\nForce add and display user's actual portfolio holdings \nThis will force-update to use your BT"
  },
  {
    "path": "frontend/.gitignore",
    "chars": 58,
    "preview": "# Ignore Angular cache\n.angular/cache/\n.angular/**/cache/\n"
  },
  {
    "path": "frontend/Dockerfile",
    "chars": 500,
    "preview": "# Build stage\nFROM node:18-alpine AS build\n\nWORKDIR /app\n\n# Copy package files\nCOPY package*.json ./\n\n# Install dependen"
  },
  {
    "path": "frontend/angular.json",
    "chars": 2967,
    "preview": "{\n  \"$schema\": \"./node_modules/@angular/cli/lib/config/schema.json\",\n  \"version\": 1,\n  \"newProjectRoot\": \"projects\",\n  \""
  },
  {
    "path": "frontend/angular.log",
    "chars": 17916,
    "preview": "Warning: Running a server with --disable-host-check is a security risk. See https://medium.com/webpack/webpack-dev-serve"
  },
  {
    "path": "frontend/angular_final.log",
    "chars": 6599,
    "preview": "Warning: Running a server with --disable-host-check is a security risk. See https://medium.com/webpack/webpack-dev-serve"
  },
  {
    "path": "frontend/angular_fixed.log",
    "chars": 13691,
    "preview": "Warning: Running a server with --disable-host-check is a security risk. See https://medium.com/webpack/webpack-dev-serve"
  },
  {
    "path": "frontend/debug_angular.log",
    "chars": 8451,
    "preview": "Warning: Running a server with --disable-host-check is a security risk. See https://medium.com/webpack/webpack-dev-serve"
  },
  {
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    "preview": "\"\"\"\nData Models for Portfolio Management\n\"\"\"\n\nfrom datetime import datetime\nfrom typing import Optional\nfrom dataclasses"
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  {
    "path": "portfolio/order_types.py",
    "chars": 534,
    "preview": "\"\"\"\nOrder Types and Enums for Portfolio Management\n\"\"\"\n\nfrom enum import Enum\n\nclass OrderType(Enum):\n    \"\"\"Order types"
  },
  {
    "path": "portfolio/portfolio_manager.py",
    "chars": 30845,
    "preview": "\"\"\"\nPortfolio Management System for AI Market Analysis System\n\nThis module provides comprehensive portfolio management c"
  },
  {
    "path": "rag/__init__.py",
    "chars": 596,
    "preview": "\"\"\"\nRAG (Retrieval-Augmented Generation) Infrastructure for AI Market Analysis System\n\nThis module provides the infrastr"
  },
  {
    "path": "rag/document_store.py",
    "chars": 18527,
    "preview": "\"\"\"\nDocument Store for RAG System\n\nThis module provides document storage and management functionality\nfor the RAG system"
  },
  {
    "path": "rag/embedding_service.py",
    "chars": 14133,
    "preview": "\"\"\"\nEmbedding Service for RAG System\n\nThis module provides embedding generation functionality for the RAG system,\ninclud"
  },
  {
    "path": "rag/llm_service.py",
    "chars": 17369,
    "preview": "\"\"\"\nLLM Service for RAG System\n\nThis module provides Large Language Model integration for the RAG system,\nincluding cont"
  },
  {
    "path": "rag/news_ingester.py",
    "chars": 23068,
    "preview": "\"\"\"\nNews Ingester for RAG System\n\nThis module provides news ingestion functionality for the RAG system,\nincluding RSS fe"
  },
  {
    "path": "rag/vector_db.py",
    "chars": 11883,
    "preview": "\"\"\"\nVector Database for RAG System\n\nThis module provides vector database functionality for storing and retrieving\ndocume"
  },
  {
    "path": "requirements-docker.txt",
    "chars": 458,
    "preview": "# Essential packages for Docker deployment\npandas>=2.0.0\nnumpy>=1.24.0\nscikit-learn>=1.3.0\nrequests>=2.31.0\nyfinance>=0."
  },
  {
    "path": "requirements.txt",
    "chars": 1281,
    "preview": "# Core Data Science & ML\npandas>=2.0.0\nnumpy>=1.24.0\nscikit-learn>=1.3.0\nxgboost>=1.7.0\nlightgbm>=4.0.0\n\n# Deep Learning"
  },
  {
    "path": "risk/__init__.py",
    "chars": 303,
    "preview": "\"\"\"\nRisk management module for AI Market Analysis System.\n\"\"\"\n\nfrom .monte_carlo_simulator import MonteCarloSimulator, S"
  },
  {
    "path": "risk/monte_carlo_simulator.py",
    "chars": 24309,
    "preview": "\"\"\"\nMonte Carlo Risk Simulation System\n\nThis module provides Monte Carlo simulation capabilities for\nrisk modeling and p"
  },
  {
    "path": "rl/__init__.py",
    "chars": 557,
    "preview": "\"\"\"\nReinforcement Learning Infrastructure for AI Market Analysis System\n\nThis module provides the infrastructure for:\n- "
  },
  {
    "path": "rl/experience_replay.py",
    "chars": 17285,
    "preview": "\"\"\"\nExperience Replay Buffer for Reinforcement Learning\n\nThis module provides experience replay functionality for traini"
  },
  {
    "path": "rl/market_environment.py",
    "chars": 31078,
    "preview": "\"\"\"\nMarket Environment for Reinforcement Learning\n\nThis module provides a market simulation environment for training RL "
  },
  {
    "path": "rl/reward_functions.py",
    "chars": 18698,
    "preview": "\"\"\"\nReward Functions for Reinforcement Learning\n\nThis module provides various reward functions for training RL agents,\ni"
  },
  {
    "path": "rl/training_utils.py",
    "chars": 23368,
    "preview": "\"\"\"\nTraining Utilities for Reinforcement Learning\n\nThis module provides utilities for training RL agents including:\n- Tr"
  },
  {
    "path": "routes/__init__.py",
    "chars": 55,
    "preview": "\"\"\"\nRoutes package for AI Market Analysis System.\n\"\"\"\n\n"
  },
  {
    "path": "routes/ab_testing.py",
    "chars": 22283,
    "preview": "\"\"\"\nA/B Testing Routes - Strategy comparison and optimization\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom date"
  },
  {
    "path": "routes/agent_monitor.py",
    "chars": 5640,
    "preview": "\"\"\"\nAgent Monitor Routes - Performance tracking and feedback\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom datet"
  },
  {
    "path": "routes/agent_router.py",
    "chars": 5840,
    "preview": "\"\"\"\nAgent Router Routes - Intelligent agent routing and weighting\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom "
  },
  {
    "path": "routes/dependencies.py",
    "chars": 1839,
    "preview": "\"\"\"\nDependency injection for route modules.\nAll global services are accessed through this module.\n\"\"\"\nfrom typing import"
  },
  {
    "path": "routes/ensemble_blender.py",
    "chars": 21753,
    "preview": "\"\"\"\nEnsemble Blender Routes - Signal blending and quality metrics\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom "
  },
  {
    "path": "routes/execution_agent.py",
    "chars": 2426,
    "preview": "\"\"\"\nExecution Agent Routes - Order management and execution tracking\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfr"
  },
  {
    "path": "routes/forecasting.py",
    "chars": 85599,
    "preview": "\"\"\"\nForecasting Routes - Day and swing forecasting\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom datetime import"
  },
  {
    "path": "routes/health.py",
    "chars": 15244,
    "preview": "\"\"\"\nHealth and Status Routes\n\"\"\"\nfrom fastapi import APIRouter\nfrom datetime import datetime\nimport random\n\nrouter = API"
  },
  {
    "path": "routes/latent_pattern.py",
    "chars": 11705,
    "preview": "\"\"\"\nLatent Pattern Detector Routes - Pattern detection and analysis\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfro"
  },
  {
    "path": "routes/meta_evaluation.py",
    "chars": 8306,
    "preview": "\"\"\"\nMeta-Evaluation Routes - Agent performance evaluation and rotation\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\n"
  },
  {
    "path": "routes/portfolio.py",
    "chars": 22818,
    "preview": "\"\"\"\nPortfolio Routes - Portfolio management and performance\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom dateti"
  },
  {
    "path": "routes/predictions.py",
    "chars": 7255,
    "preview": "\"\"\"\nPredictions Routes - Predictions and signals\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom datetime import d"
  },
  {
    "path": "routes/rag_event_agent.py",
    "chars": 20796,
    "preview": "\"\"\"\nRAG Event Agent Routes - LLM-RAG powered event analysis\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom dateti"
  },
  {
    "path": "routes/risk_analysis.py",
    "chars": 11658,
    "preview": "\"\"\"\nRisk Analysis Routes - Risk assessment and management\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom datetime"
  },
  {
    "path": "routes/rl_strategy.py",
    "chars": 9312,
    "preview": "\"\"\"\nRL Strategy Routes - Reinforcement learning strategy optimization\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nf"
  },
  {
    "path": "routes/symbols.py",
    "chars": 43594,
    "preview": "\"\"\"\nSymbol Management Routes - Symbol CRUD operations\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom datetime imp"
  },
  {
    "path": "routes/ticker_discovery.py",
    "chars": 16849,
    "preview": "\"\"\"\nTicker Discovery Routes - Market scanning and ticker discovery\n\"\"\"\nfrom fastapi import APIRouter, HTTPException\nfrom"
  },
  {
    "path": "routes/utils.py",
    "chars": 4412,
    "preview": "\"\"\"\nUtility functions shared across routes.\n\"\"\"\nfrom loguru import logger\nfrom routes import dependencies\n\n\nasync def ru"
  },
  {
    "path": "services/agent_performance_service.py",
    "chars": 22535,
    "preview": "\"\"\"\nReal Agent Performance Data Collection Service\n\nThis service provides real-time agent performance tracking and data "
  },
  {
    "path": "services/agent_router_service.py",
    "chars": 39773,
    "preview": "\"\"\"\nAgent Router Service\n\nThis service implements intelligent agent routing based on market conditions,\nregime detection"
  },
  {
    "path": "services/automated_rag_service.py",
    "chars": 11763,
    "preview": "\"\"\"\nAutomated RAG Service - Background News Fetching and Analysis\n\nThis service runs automated tasks to:\n- Fetch fresh n"
  },
  {
    "path": "services/enhanced_forecasting_service.py",
    "chars": 22157,
    "preview": "\"\"\"\nEnhanced Forecasting Service\n\nThis service creates intelligent forecasting by leveraging outputs from all specialize"
  },
  {
    "path": "services/ensemble_blender_service.py",
    "chars": 58019,
    "preview": "\"\"\"\nEnsemble Signal Blender Service\n\nThis service provides real data collection and analysis for the Ensemble Signal Ble"
  },
  {
    "path": "services/execution_agent_service.py",
    "chars": 17492,
    "preview": "\"\"\"\nExecution Agent Service for real order management and execution tracking.\nProvides comprehensive order management, p"
  }
]

// ... and 22 more files (download for full content)