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Repository: mckelvin/beancount-boilerplate-cn
Branch: dev
Commit: f250b25c2a05
Files: 27
Total size: 298.9 KB
Directory structure:
gitextract_4wi0e4ne/
├── .gitignore
├── .python-version
├── Makefile
├── README.md
├── importers/
│ └── spdccc_importer.py
├── ledger/
│ ├── account.beancount
│ ├── commodity.beancount
│ ├── cryptocoin.beancount
│ ├── daily/
│ │ ├── 2019/
│ │ │ ├── 2019-06-03-other.beancount
│ │ │ ├── 2019-06-03-settle.beancount
│ │ │ └── 2019-06-03-spdbcc.beancount
│ │ └── 2019.beancount
│ ├── init.beancount
│ ├── invest.beancount
│ ├── main.beancount
│ ├── prices.beancount
│ └── salary.beancount
├── raw-data/
│ └── spdbcc/
│ └── 2019-05-spdbcc.csv
├── requirements.in
├── requirements.txt
├── scripts/
│ ├── README.md
│ ├── generate-networth-report.py
│ ├── generate-portfolio.py
│ └── update-prices.py
└── sources/
├── eastmoney.py
├── exchangeratesapi.py
└── xueqiu.py
================================================
FILE CONTENTS
================================================
================================================
FILE: .gitignore
================================================
__pycache__/
.py[oc]
ledger/latest-prices.beancount
local/
================================================
FILE: .python-version
================================================
beancount-env
================================================
FILE: Makefile
================================================
GDOCIDFILE=local/gdocid
GDOCID=`cat $(GDOCIDFILE)`
TODAY=`date "+%Y-%m-%d"`
MONTH=`date "+%Y-%m"`
DIARY_MD_PATH=`date "+raw-data/.notable/notes/diary/%Y/%m/%Y-%m-%d.md"`
PFCSV="local/portfolio-$(TODAY).csv"
NWCSV="local/net-worth-$(TODAY).csv"
all: prices
prices-today:
./scripts/update-prices.py --today-only | sh
prices:
./scripts/update-prices.py | sh
fava:
fava ledger/main.beancount
%:
bean-$@ ledger/main.beancount
portfolio:
@./scripts/generate-portfolio.py
networth:
@./scripts/generate-networth-report.py
gdocid:
@test -f $(GDOCIDFILE) && true || (echo "Please fill gdoc id in $(GDOCIDFILE)"; exit 1)
spreadsheet: gdocid
@echo "Generating $(PFCSV) ..."
@./scripts/generate-portfolio.py > $(PFCSV)
@echo "$(PFCSV) Done\n"
@echo "Generating $(NWCSV) ..."
@./scripts/generate-networth-report.py --padding --since 2019-10-01 > $(NWCSV)
@echo "$(NWCSV) Done\n"
@egrep "^(日期|$(MONTH))" $(NWCSV) | column -ts,
@echo "Uploading to spreadsheet ..."
@upload-to-sheets --docid=$(GDOCID) $(PFCSV):持仓 $(NWCSV):净值
today:
make prices-today
make spreadsheet
backup:
git stash
git pull --rebase origin master
git stash pop
git add .
git commit -m "AutoBackup"
git push origin master
================================================
FILE: README.md
================================================
# beancount-boilerplate-cn
本项目是为如下人士准备的 (AND)
- 生活、工作在中国
- 熟练使用 \*nix 环境下终端操作
- 对[文本记账](https://plaintextaccounting.org/)感兴趣
- 看过了最基础的 beancount 介绍但是没有看完所有文档（太多了）
- 想马上试试用 beancount 记账
### 安装
1. Python 3.6.5 # Python3 就行
如果你已经安装了 [pyenv-virtualenv](https://github.com/pyenv/pyenv-virtualenv), 那需要一个基于 Python 3.6.5 的虚拟环境，否则请自行准备 Python 3.6.5 运行环境:
```shell
pyenv virtualenv 3.6.5 beancount-env
```
2. 安装依赖的库
```shell
pip install -r requirements.txt
```
### 这份模板中的假定使用者是这样的:
- 有如下银行的储蓄卡
- 招商银行 (工资卡)
- 招商银行香港分行
- 有如下银行的全币种信用卡
- 浦发银行 (日常消费主力卡, 外币交易自动购汇人民币还款)
- 工商银行 (境外消费为主，外币交易不自动购汇，需要自行购汇还外币)
- 有如下投资(机)账户
- 富途证券港美股账户
- 东方财富证券A股账户
- 蚂蚁财富(支付宝)基金账户
- 天天基金账户
### 如何查看报表
1. 在 https://docs.google.com/spreadsheets 新建一个表格，复制URL中的ID部分到`local/gdocid` 这个文件中。
```bash
# 比如 https://docs.google.com/spreadsheets/d/1jnds3X_-RSTN4ATuOFV-v6tar0KfAla88vC43Vq6ubc/edit?usp=sharing
$ cat local/gdocid
1jnds3X_-RSTN4ATuOFV-v6tar0KfAla88vC43Vq6ubc
```
2. `make prices` 确认标的价格是最新的
3. `make spreadsheets` 生成净值和持仓csv文件，并上传到上述新建的spreadsheet. 期间可能会提示配置 Google Docs 的 API Key, 按提示进行即可。
4. `净值`和`持仓`分别会出现在2个sheet里，如果需要报表的话，可以基于这些数据新建一个sheet放报表。举个例子：
[](https://docs.google.com/spreadsheets/d/1jnds3X_-RSTN4ATuOFV-v6tar0KfAla88vC43Vq6ubc/edit#gid=0)
### 如何初始化/已有帐本迁移过来
可见 `ledger/init.beancount` 文件中初始化的过程
### Commodity 命名
每一个投资标的就是一个commodity, 比如现金 CNY, USD, 股票 SPY, AAPL ...
- 各国外汇按标准名称来：
- `CNY`, `USD`, `CNH`, ...
- 美股代号按交易所代码来
- `AAPL`, `GOOGL`
- 港股代号以 `HK_` 开头按 4 位数字命名
- `HK_2800`, `HK_0700`
- A股(含场内基金)代号以 `CN_` 开头按 6 位数字命名
- `CN_000001`, `CN_510300`, ...
- 场外基金(货币基金除外)以 `CN_F` 开头按 6 位数字命名
- `CN_F110011`
- 货币基金直接用 CNY 表示，收益需要手工更新(原因是货币基金无净值的概念)。
- CNY
### 你可能想批量替换的关键字
- 帐本名称 `YourLedger`
- 所在城市 `YourCity`
- 供职单位 `YourEmployer`
- `XXX`
- `TODO`
### 文件布局
- importers/ : 通过 bean-extract 自动导入帐单所需的自定义脚本
- raw-data/ : csv 等格式的原始帐单存放目录
- sources/ : 自定义的股票、基金行情脚本（默认只支持从雅虎财经中获取）
- ledger/ : 所有的 beancount 文件都在这里面
- main.beancount : 主入口
- account.beancount : 所有的账户定义在这里
- commodity.beancount : 如果你不需要自动获取行情价格，你甚至都不需要这个文件
- prices.beancount : 这个文件由 bean-price 命令管理，一般不需要手动修改
- init.beancount : 初始化帐本用
- salary.beancount : 工资收入
- invest.beancount : 现金之外的投资(机)相关记录(买卖、申赎)
- daily/ : 日常流水
- daily/2019 : 按年分目录
- daily/2019/2019-07-03-spdbccc.beancount : 主力消费卡记录(自动生成+人工修改)
- daily/2019/2019-07-03-other.beancount : 非主力下记录
- daily/2019/2019-07-03-settle.beancount : 定期结算检查点
### 支出如何分类
- 参照随手记App的支出分类法, 分为2级, 见 ledger/account.beancount
中账户的定义。
### 如何处理五险一金
- 公司缴纳的公积金作为收入计算
- 公司缴纳的各种险不入帐
- 个人缴纳的各种税和险作为支出计算
- 个人缴纳的公积金当作转帐计算
- 详见 salary.beancount
### 如何处理股票、基金
- 因为交易频率不高，因此数据都是手工输入
- 可参见 invest.beancount 中的定义
### 如何获取外汇、股票、基金行情
- ledger/commodity.beancount 中定义了某一个 commodity 从哪里获取行情
- 自定义行情脚本定义在 sources/ , 目前支持从雪球获取A/港/美股股票行情，从天天基金获取基金行情
- 货币基金当现金处理
### 如何获取标的的最新价格
```
make prices
# 或
./scripts/update-prices.py | sh
```
这个命令会自动拉取最后一条 price 记录的时间到昨天为止的各个持仓标的的价格。建议隔三差五就跑一次。
### 如何自动生成帐单
基于2019年5月的帐单(csv格式)生成 beancount 文件
```
bean-extract importers/spdccc_importer.py raw-data/spdbcc/2019-05-spdbcc.csv > ledger/daily/2019/2019-06-03-spdbcc.beancount
```
### 如何加密帐单信息
当前仓库默认没有加密，如果你想加密的话，推荐使用 [git-crypt](https://github.com/AGWA/git-crypt), 它比 [git-secret](https://git-secret.io/) 使用起来更加方便。
### 如何查看当前和历史持仓
```
./scripts/generate-portfolio.py -d 2019-12-31 # 查看某一日的持仓
./scripts/generate-portfolio.py # 查看当前持仓
```
输出的csv格式持仓可以[导入表格软件](https://bitbucket.org/blais/beancount/src/default/beancount/tools/sheets_upload.py)进一步分析，或者使用 [tabview](https://pypi.org/project/tabview/) 直接在终端浏览。例子:
|一级类别|二级类别 |标的 |代号 |持仓量 |市场价格 |报价日期 |市场价值 |货币 |人民币价值 |占比 |
|----|------|----------------|----------|----------|---------|----------|------|----|---------|------|
|现金 |本币 |人民币 |CNY |59287.860 |1.0000 | |59288 |CNY |59287.86 |10.68%|
|现金 |外汇 |美元 |USD |19460.700 |1.0000 | |19461 |USD |138338.94|24.92%|
|现金 |外汇 |港元 |HKD |134112.000|1.0000 | |134112|HKD |123000.76|22.16%|
|现金 |外汇 |离岸人民币 |CNH |1000.000 |1.0000 | |1000 |CNH |999.20 |0.18% |
|债权 |债券基金 |华泰柏瑞丰盛纯债债券A |CN_F000187|6000.000 |1.2902 |2020-05-15|7741 |CNY |7741.20 |1.39% |
|债权 |可转换债券 |光电转债 |CN_128047 |100.000 |129.0270 |2019-10-15|12903 |CNY |12902.70 |2.32% |
|股权 |指数基金 |SPDR S&P 500 ETF|SPY |15.000 |286.2800 |2020-05-15|4294 |USD |30525.88 |5.50% |
|股权 |指数基金 |华泰沪深300ETF |CN_510300 |100.000 |3.9020 |2020-05-15|390 |CNY |390.20 |0.07% |
|股权 |偏股混合基金|易方达中小盘混合 |CN_F110011|10000.000 |5.2343 |2020-05-15|52343 |CNY |52343.00 |9.43% |
|股权 |A股 |平安银行 |CN_000001 |100.000 |13.2300 |2020-05-15|1323 |CNY |1323.00 |0.24% |
|股权 |港股 |腾讯控股 |HK_0700 |50.000 |421.2000 |2020-05-15|21060 |HKD |19315.17 |3.48% |
|股权 |港股 |盈富基金 |HK_2800 |100.000 |24.0000 |2020-05-15|2400 |HKD |2201.16 |0.40% |
|股权 |美股 |Apple Inc. |AAPL |10.000 |307.7100 |2020-05-15|3077 |USD |21873.97 |3.94% |
|另类 |加密货币 |USDT |USDT |776.340 |1.0000 | |776 |USDT|5395.56 |0.97% |
|另类 |加密货币 |比特币 |BTC |1.175 |9336.9561|2020-05-15|10967 |USD |77958.38 |14.04%|
|另类 |加密货币 |以太坊 |ETH |1.000 |223.8500 |2019-07-16|224 |USDT|1555.76 |0.28% |
### 如何查看投资净值
```
./scripts/generate-networth-report.py # 查看年初至今的净值
./scripts/generate-networth-report.py -s 2019-12-01 # 查看某一日至今的净值
```
输出的csv格式持仓可以[导入表格软件](https://bitbucket.org/blais/beancount/src/default/beancount/tools/sheets_upload.py)进一步分析，或者使用 [tabview](https://pypi.org/project/tabview/) 直接在终端浏览。例子:
|日期 |净资产 |可投资金额 |非投资收入 |非投资支出 |投资盈亏 |投资盈亏% |累计净值 |累计盈亏|当年净值 |当年盈亏 |另类% |股权% |债权% |现金% |
|---|------|----------------|----------|----------|---------|----------|------|----|---------|------|------|------|-----|------|
|2020-01-01|559138.53|531175.73 |0.00 |0.00 |n/a |n/a |1.0000|0.00|1.0000 |0.00 |13.20%|23.54%|3.84%|59.43%|
|2020-01-02|558641.52|530678.72 |0.00 |0.00 |-497.01 |-0.0936% |0.9991|-497.01|0.9991 |-497.01|12.94%|23.73%|3.84%|59.49%|
|2020-01-03|560789.32|532826.52 |0.00 |0.00 |2147.79 |0.4047% |1.0031|1650.79|1.0031 |1650.79|13.37%|23.47%|3.82%|59.33%|
|2020-01-06|562714.79|534751.99 |0.00 |0.00 |1925.47 |0.3614% |1.0067|3576.26|1.0067 |3576.26|13.87%|23.17%|3.81%|59.15%|
|2020-01-07|564344.69|536381.89 |0.00 |0.00 |1629.91 |0.3048% |1.0098|5206.16|1.0098 |5206.16|14.30%|23.14%|3.80%|58.76%|
|2020-01-08|563946.82|535984.02 |0.00 |0.00 |-397.87 |-0.0742% |1.0091|4808.29|1.0091 |4808.29|14.20%|23.19%|3.80%|58.81%|
|2020-01-09|563990.03|536027.23 |0.00 |0.00 |43.20 |0.0081% |1.0091|4851.49|1.0091 |4851.49|13.92%|23.54%|3.80%|58.74%|
|2020-01-10|566470.03|538507.23 |0.00 |0.00 |2480.00 |0.4627% |1.0138|7331.50|1.0138 |7331.50|14.21%|23.59%|3.79%|58.41%|
|2020-01-13|566349.87|538387.07 |0.00 |0.00 |-120.16 |-0.0223% |1.0136|7211.34|1.0136 |7211.34|14.14%|23.87%|3.79%|58.20%|
|2020-01-14|569554.58|541591.78 |0.00 |0.00 |3204.72 |0.5952% |1.0196|10416.05|1.0196 |10416.05|14.92%|23.52%|3.77%|57.80%|
|2020-01-15|569552.86|541590.06 |0.00 |0.00 |-1.73 |-0.0003% |1.0196|10414.33|1.0196 |10414.33|14.89%|23.51%|3.77%|57.83%|
|2020-01-16|569231.86|541269.06 |0.00 |0.00 |-320.99 |-0.0593% |1.0190|10093.33|1.0190 |10093.33|14.78%|23.64%|3.77%|57.80%|
|2020-01-17|569877.74|541914.94 |0.00 |0.00 |645.88 |0.1193% |1.0202|10739.21|1.0202 |10739.21|14.99%|23.64%|3.77%|57.60%|
|2020-01-20|568368.80|540406.00 |0.00 |0.00 |-1508.94 |-0.2784% |1.0174|9230.27|1.0174 |9230.27|14.70%|23.70%|3.78%|57.82%|
|2020-01-21|569909.61|541946.81 |0.00 |0.00 |1540.81 |0.2851% |1.0203|10771.08|1.0203 |10771.08|14.83%|23.50%|3.77%|57.90%|
|2020-01-22|569567.31|541604.51 |0.00 |0.00 |-342.30 |-0.0632% |1.0196|10428.78|1.0196 |10428.78|14.76%|23.55%|3.77%|57.92%|
|2020-01-23|567857.58|539894.78 |0.00 |0.00 |-1709.73 |-0.3157% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-01-24|567857.58|539894.78 |0.00 |0.00 |0.00 |0.0000% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-01-27|567857.58|539894.78 |0.00 |0.00 |0.00 |0.0000% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-01-28|567857.58|539894.78 |0.00 |0.00 |0.00 |0.0000% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-01-29|567857.58|539894.78 |0.00 |0.00 |0.00 |0.0000% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-01-30|567857.58|539894.78 |0.00 |0.00 |0.00 |0.0000% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-01-31|567857.58|539894.78 |0.00 |0.00 |0.00 |0.0000% |1.0164|8719.05|1.0164 |8719.05|14.50%|23.40%|3.78%|58.32%|
|2020-02-03|573898.42|545935.62 |0.00 |0.00 |6040.84 |1.1189% |1.0278|14759.89|1.0278 |14759.89|15.61%|22.36%|3.75%|58.27%|
|2020-02-04|574237.05|546274.25 |0.00 |0.00 |338.63 |0.0620% |1.0284|15098.52|1.0284 |15098.52|15.42%|22.75%|3.75%|58.08%|
|2020-02-05|577799.49|549836.69 |0.00 |0.00 |3562.44 |0.6521% |1.0351|18660.96|1.0351 |18660.96|15.83%|22.89%|3.73%|57.55%|
|2020-02-06|580439.96|552477.16 |0.00 |0.00 |2640.47 |0.4802% |1.0401|21301.43|1.0401 |21301.43|15.89%|23.15%|3.71%|57.25%|
|2020-02-07|580439.96|552477.16 |0.00 |0.00 |0.00 |0.0000% |1.0401|21301.43|1.0401 |21301.43|15.89%|23.15%|3.71%|57.25%|
|2020-02-10|582205.63|554242.83 |0.00 |0.00 |1765.67 |0.3196% |1.0434|23067.10|1.0434 |23067.10|16.03%|23.12%|3.70%|57.16%|
|2020-02-11|585175.01|557212.21 |0.00 |0.00 |2969.38 |0.5358% |1.0490|26036.48|1.0490 |26036.48|16.37%|23.16%|3.68%|56.79%|
|2020-02-12|586760.25|558797.45 |0.00 |0.00 |1585.24 |0.2845% |1.0520|27621.72|1.0520 |27621.72|16.46%|23.27%|3.67%|56.60%|
|2020-02-13|586547.84|558585.04 |0.00 |0.00 |-212.41 |-0.0380% |1.0516|27409.31|1.0516 |27409.31|16.35%|23.26%|3.67%|56.71%|
|2020-02-14|587939.30|559976.50 |0.00 |0.00 |1391.45 |0.2491% |1.0542|28800.77|1.0542 |28800.77|16.44%|23.30%|3.67%|56.59%|
|2020-02-17|583519.50|555556.70 |0.00 |0.00 |-4419.79 |-0.7893% |1.0459|24380.97|1.0459 |24380.97|15.78%|23.52%|3.70%|57.01%|
|2020-02-18|586376.83|558414.03 |0.00 |0.00 |2857.33 |0.5143% |1.0513|27238.30|1.0513 |27238.30|16.30%|23.18%|3.68%|56.84%|
|2020-02-19|586376.83|558414.03 |0.00 |0.00 |0.00 |0.0000% |1.0513|27238.30|1.0513 |27238.30|16.30%|23.18%|3.68%|56.84%|
|2020-02-20|585097.66|557134.86 |0.00 |0.00 |-1279.16 |-0.2291% |1.0489|25959.13|1.0489 |25959.13|15.70%|23.53%|3.69%|57.08%|
|2020-02-21|584653.91|556691.11 |0.00 |0.00 |-443.75 |-0.0796% |1.0480|25515.38|1.0480 |25515.38|15.83%|23.32%|3.69%|57.16%|
|2020-02-24|581216.57|553253.77 |0.00 |0.00 |-3437.34 |-0.6175% |1.0416|22078.04|1.0416 |22078.04|15.89%|22.88%|3.72%|57.52%|
|2020-02-25|576706.02|548743.22 |0.00 |0.00 |-4510.55 |-0.8153% |1.0331|17567.49|1.0331 |17567.49|15.59%|22.79%|3.75%|57.87%|
|2020-02-26|572481.47|544518.67 |0.00 |0.00 |-4224.55 |-0.7699% |1.0251|13342.94|1.0251 |13342.94|15.04%|22.84%|3.78%|58.34%|
|2020-02-27|569084.25|541121.45 |0.00 |0.00 |-3397.22 |-0.6239% |1.0187|9945.72|1.0187 |9945.72|15.07%|22.52%|3.80%|58.61%|
|2020-02-28|564817.25|536854.45 |0.00 |0.00 |-4267.00 |-0.7885% |1.0107|5678.72|1.0107 |5678.72|15.01%|22.23%|3.83%|58.93%|
|2020-03-02|569944.19|541981.39 |0.00 |0.00 |5126.95 |0.9550% |1.0203|10805.66|1.0203 |10805.66|15.09%|22.83%|3.80%|58.29%|
|2020-03-03|569387.90|541425.10 |0.00 |0.00 |-556.29 |-0.1026% |1.0193|10249.37|1.0193 |10249.37|15.02%|22.74%|3.80%|58.44%|
|2020-03-04|568808.58|540845.78 |0.00 |0.00 |-579.32 |-0.1070% |1.0182|9670.05|1.0182 |9670.05|14.90%|23.14%|3.81%|58.15%|
|2020-03-05|572248.46|544285.66 |0.00 |0.00 |3439.87 |0.6360% |1.0247|13109.93|1.0247 |13109.93|15.24%|23.12%|3.78%|57.86%|
|2020-03-06|569850.80|541888.00 |0.00 |0.00 |-2397.66 |-0.4405% |1.0202|10712.26|1.0202 |10712.26|15.35%|22.79%|3.80%|58.06%|
|2020-03-09|556295.99|528333.19 |0.00 |0.00 |-13554.81|-2.5014% |0.9946|-2842.54|0.9946 |-2842.54|14.21%|22.20%|3.90%|59.70%|
|2020-03-10|560642.04|532679.24 |0.00 |0.00 |4346.06 |0.8226% |1.0028|1503.51|1.0028 |1503.51|14.09%|22.77%|3.87%|59.28%|
|2020-03-11|557566.89|529604.09 |0.00 |0.00 |-3075.15 |-0.5773% |0.9970|-1571.64|0.9970 |-1571.64|14.16%|22.37%|3.89%|59.58%|
|2020-03-12|533753.00|505790.20 |0.00 |0.00 |-23813.90|-4.4965% |0.9522|-25385.54|0.9522 |-25385.54|10.85%|22.25%|4.07%|62.83%|
|2020-03-13|540151.97|512189.17 |0.00 |0.00 |6398.98 |1.2651% |0.9643|-18986.56|0.9643 |-18986.56|11.50%|22.62%|4.02%|61.87%|
|2020-03-16|529322.49|501359.69 |0.00 |0.00 |-10829.48|-2.1144% |0.9439|-29816.04|0.9439 |-29816.04|11.01%|21.42%|4.10%|63.46%|
|2020-03-17|533129.86|505167.06 |0.00 |0.00 |3807.37 |0.7594% |0.9510|-26008.67|0.9510 |-26008.67|11.22%|21.73%|4.07%|62.98%|
|2020-03-18|530493.16|502530.36 |0.00 |0.00 |-2636.70 |-0.5219% |0.9461|-28645.37|0.9461 |-28645.37|11.31%|21.18%|4.09%|63.42%|
|2020-03-19|540071.63|512108.83 |0.00 |0.00 |9578.47 |1.9060% |0.9641|-19066.90|0.9641 |-19066.90|12.51%|20.67%|4.01%|62.81%|
|2020-03-20|539069.72|511106.92 |0.00 |0.00 |-1001.91 |-0.1956% |0.9622|-20068.81|0.9622 |-20068.81|12.51%|20.69%|4.02%|62.78%|
|2020-03-23|537334.85|509372.05 |0.00 |0.00 |-1734.87 |-0.3394% |0.9590|-21803.68|0.9590 |-21803.68|12.85%|20.17%|4.04%|62.95%|
|2020-03-24|544602.16|516639.36 |0.00 |0.00 |7267.31 |1.4267% |0.9726|-14536.37|0.9726 |-14536.37|13.07%|21.05%|3.98%|61.89%|
|2020-03-25|548926.96|520964.16 |0.00 |0.00 |4324.80 |0.8371% |0.9808|-10211.57|0.9808 |-10211.57|12.94%|21.46%|3.95%|61.65%|
|2020-03-26|550531.93|522569.13 |0.00 |0.00 |1604.97 |0.3081% |0.9838|-8606.60|0.9838 |-8606.60|12.92%|21.85%|3.94%|61.29%|
|2020-03-27|548513.85|520551.05 |0.00 |0.00 |-2018.09 |-0.3862% |0.9800|-10624.69|0.9800 |-10624.69|12.66%|21.69%|3.95%|61.69%|
|2020-03-30|548359.00|520396.20 |0.00 |0.00 |-154.84 |-0.0297% |0.9797|-10779.53|0.9797 |-10779.53|12.62%|21.70%|3.96%|61.73%|
|2020-03-31|549446.65|521483.85 |0.00 |0.00 |1087.65 |0.2090% |0.9818|-9691.88|0.9818 |-9691.88|12.60%|21.85%|3.95%|61.60%|
|2020-04-01|548247.47|520284.67 |0.00 |0.00 |-1199.18 |-0.2300% |0.9795|-10891.06|0.9795 |-10891.06|12.86%|21.42%|3.96%|61.76%|
|2020-04-02|548247.47|520284.67 |0.00 |0.00 |0.00 |0.0000% |0.9795|-10891.06|0.9795 |-10891.06|12.86%|21.42%|3.96%|61.76%|
|2020-04-03|549544.74|521581.94 |0.00 |0.00 |1297.27 |0.2493% |0.9819|-9593.79|0.9819 |-9593.79|12.99%|21.53%|3.95%|61.53%|
|2020-04-06|549544.74|521581.94 |0.00 |0.00 |0.00 |0.0000% |0.9819|-9593.79|0.9819 |-9593.79|12.99%|21.53%|3.95%|61.53%|
|2020-04-07|555576.69|527613.89 |0.00 |0.00 |6031.95 |1.1565% |0.9933|-3561.84|0.9933 |-3561.84|13.39%|22.11%|3.91%|60.59%|
|2020-04-08|558227.88|530265.08 |0.00 |0.00 |2651.19 |0.5025% |0.9983|-910.65|0.9983 |-910.65|13.55%|22.20%|3.89%|60.36%|
|2020-04-09|558985.91|531023.11 |0.00 |0.00 |758.02 |0.1430% |0.9997|-152.62|0.9997 |-152.62|13.47%|22.42%|3.89%|60.21%|
|2020-04-10|556044.40|528081.60 |0.00 |0.00 |-2941.50 |-0.5539% |0.9942|-3094.13|0.9942 |-3094.13|12.96%|22.57%|3.91%|60.55%|
|2020-04-13|555767.48|527804.68 |0.00 |0.00 |-276.92 |-0.0524% |0.9937|-3371.05|0.9937 |-3371.05|12.94%|22.56%|3.91%|60.58%|
|2020-04-14|558327.52|530364.72 |0.00 |0.00 |2560.03 |0.4850% |0.9985|-811.02|0.9985 |-811.02|12.88%|22.95%|3.89%|60.28%|
|2020-04-15|556094.93|528132.13 |0.00 |0.00 |-2232.59 |-0.4210% |0.9943|-3043.61|0.9943 |-3043.61|12.67%|22.85%|3.91%|60.57%|
|2020-04-16|560659.12|532696.32 |0.00 |0.00 |4564.20 |0.8642% |1.0029|1520.59|1.0029 |1520.59|13.20%|22.80%|3.88%|60.12%|
|2020-04-17|561653.16|533690.36 |0.00 |0.00 |994.03 |0.1866% |1.0047|2514.63|1.0047 |2514.63|13.15%|22.95%|3.87%|60.03%|
|2020-04-20|559297.52|531334.72 |0.00 |0.00 |-2355.64 |-0.4414% |1.0003|158.99|1.0003 |158.99|12.93%|22.89%|3.89%|60.29%|
|2020-04-21|557604.40|529641.60 |0.00 |0.00 |-1693.12 |-0.3187% |0.9971|-1534.13|0.9971 |-1534.13|12.99%|22.47%|3.90%|60.63%|
|2020-04-22|561186.28|533223.48 |0.00 |0.00 |3581.88 |0.6763% |1.0039|2047.75|1.0039 |2047.75|13.20%|22.78%|3.88%|60.14%|
|2020-04-23|563852.05|535889.25 |0.00 |0.00 |2665.77 |0.4999% |1.0089|4713.52|1.0089 |4713.52|13.55%|22.78%|3.86%|59.82%|
|2020-04-24|565331.28|537368.48 |0.00 |0.00 |1479.23 |0.2760% |1.0117|6192.75|1.0117 |6192.75|13.67%|22.83%|3.85%|59.65%|
|2020-04-27|568194.44|540231.64 |0.00 |0.00 |2863.16 |0.5328% |1.0170|9055.91|1.0170 |9055.91|13.92%|22.89%|3.83%|59.36%|
|2020-04-28|569105.92|541143.12 |0.00 |0.00 |911.48 |0.1687% |1.0188|9967.39|1.0188 |9967.39|13.91%|23.05%|3.82%|59.22%|
|2020-04-29|577034.26|549071.46 |0.00 |0.00 |7928.35 |1.4651% |1.0337|17895.73|1.0337 |17895.73|14.99%|22.88%|3.77%|58.36%|
|2020-04-30|574514.61|546551.81 |0.00 |0.00 |-2519.65 |-0.4589% |1.0289|15376.08|1.0289 |15376.08|14.83%|22.94%|3.79%|58.44%|
|2020-05-01|574514.61|546551.81 |0.00 |0.00 |0.00 |0.0000% |1.0289|15376.08|1.0289 |15376.08|14.83%|22.94%|3.79%|58.44%|
|2020-05-04|574514.61|546551.81 |0.00 |0.00 |0.00 |0.0000% |1.0289|15376.08|1.0289 |15376.08|14.83%|22.94%|3.79%|58.44%|
|2020-05-05|574514.61|546551.81 |0.00 |0.00 |0.00 |0.0000% |1.0289|15376.08|1.0289 |15376.08|14.83%|22.94%|3.79%|58.44%|
|2020-05-06|581227.30|553264.50 |0.00 |0.00 |6712.69 |1.2282% |1.0416|22088.77|1.0416 |22088.77|15.51%|22.69%|3.74%|58.06%|
|2020-05-07|586322.79|558359.99 |0.00 |0.00 |5095.49 |0.9210% |1.0512|27184.26|1.0512 |27184.26|16.21%|22.62%|3.70%|57.46%|
|2020-05-08|586633.56|558670.76 |0.00 |0.00 |310.76 |0.0557% |1.0518|27495.03|1.0518 |27495.03|16.05%|22.91%|3.70%|57.35%|
|2020-05-11|579773.30|551810.50 |0.00 |0.00 |-6860.25 |-1.2280% |1.0388|20634.77|1.0388 |20634.77|14.68%|23.39%|3.74%|58.19%|
|2020-05-12|580085.90|552123.10 |0.00 |0.00 |312.60 |0.0567% |1.0394|20947.37|1.0394 |20947.37|14.92%|23.24%|3.74%|58.10%|
|2020-05-13|583816.75|555853.95 |0.00 |0.00 |3730.85 |0.6757% |1.0465|24678.22|1.0465 |24678.22|15.42%|23.13%|3.71%|57.74%|
|2020-05-14|588018.88|560056.08 |0.00 |0.00 |4202.13 |0.7560% |1.0544|28880.35|1.0544 |28880.35|15.92%|23.01%|3.69%|57.39%|
|2020-05-15|584580.07|556617.27 |0.00 |0.00 |-3438.81 |-0.6140% |1.0479|25441.54|1.0479 |25441.54|15.52%|22.99%|3.71%|57.78%|
|2020-05-18|584580.07|556617.27 |0.00 |0.00 |0.00 |0.0000% |1.0479|25441.54|1.0479 |25441.54|15.52%|22.99%|3.71%|57.78%|
|2020-05-19|584580.07|556617.27 |0.00 |0.00 |0.00 |0.0000% |1.0479|25441.54|1.0479 |25441.54|15.52%|22.99%|3.71%|57.78%|
|2020-05-20|584580.07|556617.27 |0.00 |0.00 |0.00 |0.0000% |1.0479|25441.54|1.0479 |25441.54|15.52%|22.99%|3.71%|57.78%|
|2020-05-21|584580.07|556617.27 |0.00 |0.00 |0.00 |0.0000% |1.0479|25441.54|1.0479 |25441.54|15.52%|22.99%|3.71%|57.78%|
|2020-05-22|584580.07|556617.27 |0.00 |0.00 |0.00 |0.0000% |1.0479|25441.54|1.0479 |25441.54|15.52%|22.99%|3.71%|57.78%|
================================================
FILE: importers/spdccc_importer.py
================================================
from beancount.ingest.importers import csv
from beancount.core.data import Posting
COMPACT_CATE_DICT = {
"滴滴,嘀嘀,天津舒行科技,CAB": "Transport:Taxi",
"药房,医院,医药,DRUG": "Health:Drugs",
"交通卡,地铁,摩拜": "Transport:Public",
"铁路,上铁": "Leisure:Train",
"联合网络,中国移动": "Comm:PhonePlan",
"宽带,VPS,Hosting": "Comm:Internet",
"顺丰": "Comm:Express",
"全家,便利,果品,果业,生鲜,水果": "Food:FruitSnacks",
"餐厅,包子铺,名吃,小吃,餐饮,面馆,"
"盒马,豆浆": "Food:Meals",
"优衣库": "Clothes:Clothes",
"发型,美发": "Health:HairCutting",
"AVIATION,航空": "Leisure:Aviation",
"日上": "Leisure:Souvenir",
"Smart2Pay B.V.": "Leisure:Gaming",
"京东,宜家": "Home:Groceries",
"电力公司": "Home:Utilities",
"Spotify": "Leisure:Media",
}
CATE_DICT = {
kw: cate_vals
for kws, cate_vals in COMPACT_CATE_DICT.items()
for kw in kws.split(",")
}
def _get_category(narration, default_cate="TODO"):
for kw in CATE_DICT:
if kw in narration:
return CATE_DICT[kw]
return default_cate
def categorizer(txn):
assert len(txn.postings) == 1, txn
post = txn.postings[0]
if post.units.number < 0:
# 支出
category = _get_category(txn.narration)
txn.postings.append(post._replace(
account=f"Expenses:{category}",
units=-post.units,
))
elif post.units.number > 0:
if "还款" in txn.narration:
txn.postings.append(post._replace(
account=f"Assets:CN:Saving:CMB:CNY",
units=-post.units,
))
else:
extra_narration = " TODO"
if "返现" in txn.narration:
extra_narration = ""
txn.postings.append(post._replace(
account=post.account.replace("Liabilities", "Income"),
units=-post.units,
))
if extra_narration:
txn = txn._replace(narration=txn.narration + extra_narration)
return txn
CONFIG = [
csv.Importer(
{
# 日期、金额等字段分别叫什么？
csv.Col.DATE: '记账日期',
csv.Col.AMOUNT_DEBIT: '交易金额',
csv.Col.NARRATION1: '交易描述',
csv.Col.LAST4: '卡号末四位'
},
# CSV文件中有哪几列？
regexps='卡号末四位,记账日期,交易金额,交易描述',
account="Liabilities:CN:CreditCard:SPDB",
currency='CNY',
categorizer=categorizer,
)
]
================================================
FILE: ledger/account.beancount
================================================
; 短期内不可用资产标记为 nondisposable:1
; 不可退款的预付款标记为 sunk:1
* General Accounts
2000-01-01 open Equity:Openings-Balance CNY,USD,HKD,CNH,BTC,CN600519,AAPL,SPY,HK_2800,HK_0700,CN_510300,CN_000001,CN_128047,CN_F110011,CN_F000187,CN_510300
2000-01-01 open Expenses:Food:Meals
name: "食品酒水/早中晚餐"
2000-01-01 open Expenses:Food:FruitSnacks
name: "食品酒水/水果零食"
2000-01-01 open Expenses:Transport:Public
name: "行车交通/公共交通"
2000-01-01 open Expenses:Transport:Taxi
name: "休闲娱乐/打车租车"
2000-01-01 open Expenses:Leisure:Media
name: "休闲娱乐/娱乐影音"
2000-01-01 open Expenses:Leisure:Study
name: "休闲娱乐/学习进修"
2000-01-01 open Expenses:Leisure:Train
name: "休闲娱乐/高铁旅行"
2000-01-01 open Expenses:Leisure:Aviation
name: "休闲娱乐/飞机旅行"
2000-01-01 open Expenses:Leisure:Souvenir
name: "休闲娱乐/旅行纪念品"
2000-01-01 open Expenses:Leisure:Gaming
name: "休闲娱乐/游戏"
2000-01-01 open Expenses:Health:Drugs
name: "医疗保健/药品费"
2000-01-01 open Expenses:Health:HairCutting
name: "医疗保健/理发"
2000-01-01 open Expenses:Comm:PhonePlan
name: "交流通讯/话费"
2000-01-01 open Expenses:Comm:Express
name: "交流通讯/邮寄费"
2000-01-01 open Expenses:Comm:Internet
name: "交流通讯/上网费"
2000-01-01 open Expenses:Comm:Registry
name: "交流通讯/注册费"
2000-01-01 open Expenses:Clothes:Clothes
name: "衣服饰品/衣服裤子"
2000-01-01 open Expenses:Home:Groceries
name: "居家物业/生活用品"
2000-01-01 open Expenses:Home:Rental
name: "居家物业/房租"
2000-01-01 open Assets:Receivables:HomeRental CNY
name: "居家物业/房租押金"
nondisposable: 1
2000-01-01 open Expenses:Home:Utilities
name: "居家物业/水电煤费"
2000-01-01 open Expenses:Human:Family
name: "人情往来/家人"
2000-01-01 open Expenses:Human:Friends
name: "人情往来/朋友"
2000-01-01 open Expenses:Human:Donation
name: "人情往来/捐赠"
; 五险一金
; 失业险、工伤险、生育险、医疗险、养老险、公积金
; (其中生育险已纳入医疗险)
;
;
1949-10-01 open Expenses:CN:YourCity:UnemploymentInsurance
name: "个人缴纳的失业险"
1949-10-01 open Expenses:CN:YourCity:WorkInjuryInsurance
name: "个人缴纳的工伤险"
1949-10-01 open Expenses:CN:YourCity:MedicalInsurance
name: "个人缴纳的医疗保险(含生育险)"
1949-10-01 open Expenses:CN:YourCity:PensionInsurance
name: "个人缴纳的养老金(只记账不坐实, 个人认为应该算支出)"
1949-10-01 open Assets:CN:YourCity:HousingProvidentFund
name: "住房公积金账户(含个人和公司的基本和补充)"
nondisposable: 1
1949-10-01 open Expenses:CN:YourCity:Tax
name: "YourCity税"
* Cash/Bank Accounts
2000-01-01 open Assets:Cash CNY,USD,JPY
name: "现钞"
2000-01-01 open Assets:CN:Saving:Wechat CNY
name: "微信钱包余额"
2000-01-01 open Assets:CN:Saving:Alipay CNY
name: "支付宝余额"
2000-01-01 open Assets:CN:Saving:CMB CNY,USD,HKD
name: "招商银行"
2000-01-01 open Income:CN:Saving:Interest CNY
2000-01-01 open Assets:CN:Saving:CCB CNY,USD,HKD
name: "建设银行"
2000-01-01 open Assets:HK:Saving:CMB CNY,USD,HKD
name: "招商银行香港分行"
* Liabilities
; 同一家银行的多张信用卡合在一个账户结算
; 浦发银行全币种卡会在消费时候自动购汇，还款还的人民币，
; 所以本质上是人民币计算的
2000-01-01 open Liabilities:CN:CreditCard:SPDB CNY,USD
name: "浦发银行信用卡"
; 工商银行全币种卡需要收购购汇还款，因此当股票账户处理，
; 消费直接记外币，还款时先购汇再还外币
2000-01-01 open Liabilities:CN:CreditCard:ICBC "FIFO"
name: "工商银行信用卡"
; 信用卡返现
2000-01-01 open Income:CN:CreditCard:SPDB CNY
* Company Accounts
2000-01-01 open Assets:Receivables:YourEmployer CNY
name: "应收报销"
2000-01-01 open Income:YourEmployer:BaseSalary CNY
name: "税前工资"
2000-01-01 open Income:YourEmployer:HousingProvidentFund CNY
name: "公司缴纳的公积金"
2000-01-01 open Income:YourEmployer:AnnualBonus CNY
name: "年终奖"
* Investment Accounts
2017-01-01 open Assets:Fund:TT:Positions "FIFO"
name: "天天基金"
2017-01-01 open Assets:Fund:AF:Positions "FIFO"
name: "蚂蚁财富(含余额宝)"
2017-01-01 open Assets:Securities:FT:Cash HKD,USD,CNH
name: "富途证券现金账户(其中CNH为离岸人民币, CNY为在岸人民币)"
2017-01-01 open Assets:Securities:FT:Positions "FIFO"
name: "富途证券投资组合账户"
2017-01-01 open Assets:Securities:XZ:Cash CNY
name: "东方财富(西藏)证券现金账户"
2017-01-01 open Assets:Securities:XZ:Positions "FIFO"
name: "东方财富(西藏)证券投资组合账户"
2017-01-01 open Income:Trade:PnL CNY,USD,HKD
name: "投资盈亏"
2017-01-01 open Income:Trade:Dividen CNY,USD,HKD
name: "分红"
2017-01-01 open Expenses:Trade:Fee CNY,USD,HKD
name: "交易税费"
2000-01-01 open Assets:CryptoCoins:Positions "FIFO"
name: "加密货币持仓"
2000-01-01 open Assets:CryptoCoins:Coinbase:Positions "FIFO"
name: "加密货币交易所持仓"
* Other
; LiuNeng 欠你钱
2000-01-01 open Assets:Receivables:LiuNeng CNY
name: "刘能应还"
; 你欠 ZhaoSi 钱
2000-01-01 open Liabilities:Payables:ZhaoSi CNY
name: "赵四应还"
================================================
FILE: ledger/commodity.beancount
================================================
* Currency
2019-01-01 commodity CNY
name: "人民币"
asset-class: "现金"
asset-subclass: "本币"
2019-01-01 commodity CNH
name: "离岸人民币"
asset-class: "现金"
asset-subclass: "外汇"
2019-01-01 commodity USD
name: "美元"
asset-class: "现金"
asset-subclass: "外汇"
price: "CNY:exchangeratesapi/USDCNY,yahoo/USDCNY=X"
2019-01-01 commodity JPY
name: "日元"
asset-class: "现金"
asset-subclass: "外汇"
price: "CNY:exchangeratesapi/JPYCNY,yahoo/JPYCNY=X"
2019-01-01 commodity HKD
name: "港元"
asset-class: "现金"
asset-subclass: "外汇"
price: "CNY:exchangeratesapi/HKDCNY,yahoo/HKDCNY=X"
2019-01-01 commodity BTC
name: "比特币"
asset-class: "另类"
asset-subclass: "加密货币"
price: "USD:yahoo/BTCUSD=X"
2019-01-01 commodity ETH
name: "以太坊"
asset-class: "另类"
asset-subclass: "加密货币"
price: "USD:yahoo/ETHUSD=X"
2019-01-01 commodity USDT
name: "USDT"
asset-class: "另类"
asset-subclass: "加密货币"
price: "USDT:yahoo/USDT-USD"
* Symbol
2019-06-07 commodity AAPL
name: "Apple Inc."
asset-class: "股权"
asset-subclass: "美股"
price: "USD:xueqiu/US:AAPL,yahoo/AAPL"
2019-06-07 commodity SPY
name: "SPDR S&P 500 ETF"
asset-class: "股权"
asset-subclass: "指数基金"
price: "USD:xueqiu/US:SPY,yahoo/SPY"
2019-06-07 commodity HK_0700
name: "腾讯控股"
asset-class: "股权"
asset-subclass: "港股"
price: "HKD:xueqiu/HK:00700,yahoo/0700.HK"
2019-06-07 commodity HK_2800
name: "盈富基金"
asset-class: "股权"
asset-subclass: "港股"
price: "HKD:xueqiu/HK:02800,yahoo/2800.HK"
2019-06-07 commodity CN_F110011
name: "易方达中小盘混合"
asset-class: "股权"
asset-subclass: "偏股混合基金"
price: "CNY:eastmoney/F110011"
2019-01-01 commodity CN_F000187
name: "华泰柏瑞丰盛纯债债券A"
asset-class: "债权"
asset-subclass: "债券基金"
price: "CNY:eastmoney/F000187"
2019-01-01 commodity CN_510300
name: "华泰沪深300ETF"
asset-class: "股权"
asset-subclass: "指数基金"
price: "CNY:xueqiu/CN:SH510300,yahoo/510300.SS"
2019-01-01 commodity CN_000001
name: "平安银行"
asset-class: "股权"
asset-subclass: "A股"
price: "CNY:xueqiu/CN:SZ000001,yahoo/000001.SZ"
2019-01-01 commodity CN_128047
name: "光电转债"
asset-class: "债权"
asset-subclass: "可转换债券"
price: "CNY:xueqiu/CN:SZ128047"
================================================
FILE: ledger/cryptocoin.beancount
================================================
2019-07-16 * "人民币买USDT"
Assets:CN:Saving:CMB -19999.95 CNY
Assets:CryptoCoins:Coinbase:Positions 2877.69 USDT {6.95 CNY}
2019-07-16 * "USDT买BTC"
Assets:CryptoCoins:Coinbase:Positions -1877.69 USDT
Assets:CryptoCoins:Coinbase:Positions 0.17455 BTC {10757.30 USDT}
2019-07-16 * "USDT买ETH"
Assets:CryptoCoins:Coinbase:Positions -223.66 USDT
Assets:CryptoCoins:Coinbase:Positions 1 ETH {223.66 USDT}
================================================
FILE: ledger/daily/2019/2019-06-03-other.beancount
================================================
2019-05-04 * "吃饭同事同事付的钱, 转给他"
card: "9999"
Expenses:Food:Meals 20.00 CNY
Assets:CN:Saving:Wechat -20.00 CNY
2019-05-31 * "支付房租"
Expenses:Home:Rental 5000 CNY
Assets:CN:Saving:CMB
2019-05-29 * "借给LiuNeng5000元"
Assets:Receivables:LiuNeng 5000 CNY
Assets:CN:Saving:CMB
2019-05-31 * "LiuNeng还款5000元"
Assets:CN:Saving:CMB
Assets:Receivables:LiuNeng -5000 CNY
2019-05-29 * "向ZhaoSi借款2000元"
Assets:CN:Saving:CMB 2000 CNY
Liabilities:Payables:ZhaoSi
2019-05-29 * "还ZhaoSi 1999元"
Assets:CN:Saving:CMB -1999 CNY
Liabilities:Payables:ZhaoSi 1999 CNY
2019-05-20 * "出差吃了一顿饭" #meals #xx-trip-2019-may
; 出差吃饭花了 50 USD, 银行自动购汇
Liabilities:CN:CreditCard:SPDB -50 USD @ 6.86 CNY
Assets:Receivables:YourEmployer
2019-05-20 * "出差打车" #transport #xx-trip-2019-may
Liabilities:CN:CreditCard:SPDB -30 USD @ 6.85 CNY
Assets:Receivables:YourEmployer
2019-05-30 * "收到出差报销" #xx-trip-2019-may
Assets:Receivables:YourEmployer
Assets:CN:Saving:CMB 548.50 CNY
================================================
FILE: ledger/daily/2019/2019-06-03-settle.beancount
================================================
2019-06-30 balance Assets:CN:Saving:CMB 42430.10 CNY
================================================
FILE: ledger/daily/2019/2019-06-03-spdbcc.beancount
================================================
;; -*- mode: beancount -*-
; 使用如下命令
; bean-extract importers/spdccc_importer.py raw-data/spdbcc/2019-05-spdbcc.csv > ledger/daily/2019/2019-06-03-spdbcc.beancount
; 生成本文件后人工修改错误的内容
2019-05-02 * "信用卡还款"
card: "9999"
Liabilities:CN:CreditCard:SPDB 1230 CNY
Assets:CN:Saving:CMB -1230 CNY
2019-05-03 * "支付宝 餐厅"
card: "9999"
Liabilities:CN:CreditCard:SPDB -44.00 CNY
Expenses:Food:Meals 44.00 CNY
2019-05-03 * "京东买了个包"
card: "9999"
Liabilities:CN:CreditCard:SPDB -320.00 CNY
Expenses:Home:Groceries 320.00 CNY
2019-05-03 * "不想要了京东退款"
card: "9999"
Liabilities:CN:CreditCard:SPDB 320.00 CNY
Expenses:Home:Groceries -320.00 CNY
2019-05-03 * "支付宝 XX小吃"
card: "9999"
; 和同事一起吃了一份人均23元的盒饭，帮同事代付，
; 同事立刻转了钱到我的微信
Liabilities:CN:CreditCard:SPDB -46.00 CNY
Expenses:Food:Meals 23.00 CNY
Assets:CN:Saving:Wechat 23.00 CNY
2019-05-04 * "支付宝 XX餐饮"
card: "9999"
Liabilities:CN:CreditCard:SPDB -152.00 CNY
Expenses:Food:Meals 152.00 CNY
2019-05-04 * "支付宝 刘能"
card: "9999"
Liabilities:CN:CreditCard:SPDB -13.00 CNY
Expenses:Food:Meals 13.00 CNY
2019-05-05 * "支付宝 中国联合网络通信有限公司"
card: "9999"
Liabilities:CN:CreditCard:SPDB -99.50 CNY
Expenses:Comm:PhonePlan 99.50 CNY
2019-05-05 * "支付宝 XX电力公司"
card: "9999"
Liabilities:CN:CreditCard:SPDB -56.49 CNY
Expenses:Home:Utilities 56.49 CNY
2019-05-05 * "支付宝 XX果品"
card: "9999"
Liabilities:CN:CreditCard:SPDB -30.00 CNY
Expenses:Food:FruitSnacks 18.00 CNY
note: "西瓜"
Expenses:Food:FruitSnacks 12.00 CNY
note: "苹果"
2019-05-06 * "支付宝 上海赵四餐饮服务有限公司"
card: "9999"
Liabilities:CN:CreditCard:SPDB -20.00 CNY
Expenses:Food:Meals 20.00 CNY
2019-05-06 * "支付宝 谢广坤"
card: "9999"
Liabilities:CN:CreditCard:SPDB -22.00 CNY
Expenses:Food:Meals 22.00 CNY
2019-05-06 * "支付宝 上海福满家便利有限公司"
card: "9999"
Liabilities:CN:CreditCard:SPDB -13.80 CNY
Expenses:Food:FruitSnacks 13.80 CNY
2019-05-07 * "支付宝 北京嘀嘀无限科技发展有…"
card: "9999"
Liabilities:CN:CreditCard:SPDB -11.00 CNY
Expenses:Transport:Taxi 11.00 CNY
================================================
FILE: ledger/daily/2019.beancount
================================================
include "2019/2019-06-03-spdbcc.beancount"
include "2019/2019-06-03-other.beancount"
include "2019/2019-06-03-settle.beancount"
================================================
FILE: ledger/init.beancount
================================================
; 从当日起使用 beancount 记账，为了做平帐，初始化的资金
; 从 Equity:Openings-Balance CNY,USD,HKD,BTC 中来
2019-01-01 * "Opening Balances"
Equity:Openings-Balance
; 应收房租押金
Assets:Receivables:HomeRental 5000 CNY
; 公积金账户余额（含补充公积金）
; 公司和个人缴纳的公积金都会进这个账户
Assets:CN:YourCity:HousingProvidentFund 20000 CNY
; 现钞
Assets:Cash 1000 CNY
Assets:Cash 1000 USD
Assets:Cash 0 JPY
Assets:CN:Saving:Wechat 123.50 CNY
Assets:CN:Saving:Alipay 1233.0 CNY
Assets:CN:Saving:CMB 50000 CNY
Assets:HK:Saving:CMB 1000 USD
Assets:HK:Saving:CMB 10000 HKD
Assets:CN:Saving:CCB 10000 CNY
; 应收报销
Assets:Receivables:YourEmployer 0 CNY
; FT=富途证券
Assets:Securities:FT:Cash 100000 HKD
Assets:Securities:FT:Cash 20000 USD
Assets:Securities:FT:Cash 1000 CNH
; 已有 10 股 AAPL, 持仓成本价 153.39 USD
Assets:Securities:FT:Positions 10 AAPL {153.39 USD}
Assets:Securities:FT:Positions 10 SPY {243.315 USD}
Assets:Securities:FT:Positions 100 HK_0700 {314 HKD}
Assets:Securities:FT:Positions 100 HK_2800 {25.8 HKD}
; XZ=东方财富证券(西藏证券)
; 股票账户中的现金余额
Assets:Securities:XZ:Cash 10000 CNY
Assets:Securities:XZ:Positions 100 CN_510300 {3.011 CNY}
Assets:Securities:XZ:Positions 100 CN_000001 {9.25 CNY}
Assets:Securities:XZ:Positions 100 CN_128047 {100 CNY}
; TT=天天基金
Assets:Fund:TT:Positions 10000 CN_F110011 {3.2376 CNY}
Assets:Fund:TT:Positions 100 CN_F000187 {1.2088 CNY}
; AF=AntFund=蚂蚁基金
Assets:Fund:AF:Positions 4900 CN_F000187 {1.2088 CNY}
; 基金账户中的货币基金当现金(CNY)处理
Assets:Fund:AF:Positions 5000 CNY
Assets:CryptoCoins:Positions 1 BTC {4102 USD}
; 信用卡欠款
Liabilities:CN:CreditCard:SPDB -1230 CNY
================================================
FILE: ledger/invest.beancount
================================================
; 货币基金当现金处理，这和其他场外基金(如CN_F000187)处理方式不一样
; 原因是货币基金没有净值的概念，没办法自动计算收益
2019-05-20 * "在天天基金中购买了10000元某货币基金" #money-fund
Assets:Fund:TT:Positions 10000 CNY
Assets:CN:Saving:CMB
2019-05-31 * "Buy 5 SPY@291.46"
Assets:Securities:FT:Cash -1459.3 USD
Assets:Securities:FT:Positions 5 SPY {291.46 USD}
Expenses:Trade:Fee 2 USD
2019-05-31 * "富途证券 USD换HKD, 手续费 2 USD"
Assets:Securities:FT:Cash -1000 USD
Assets:Securities:FT:Cash 7850 HKD @ USD
Expenses:Trade:Fee 2 USD
2019-05-31 * "富途证券 卖出 50 HK_0700"
; 成本价 314 HKD
; 买入金额 314 HKD * 50 = 15700 HKD
; 卖出金额 326 HKD * 50 = 16300 HKD
; 卖出手续费 38 HKD
; 金额入帐 16300 - 38 HKD = 16262
; 投资收益(不计手续费) 16300 - 15700 = 600 HKD
; 投资收益(考虑手续费) 600 - 38 = 562 HKD
Assets:Securities:FT:Cash 16262 HKD
Assets:Securities:FT:Positions -50 HK_0700 {}
Expenses:Trade:Fee 38 HKD
Income:Trade:PnL; 此处 值位 -600 HKD 但一般不需要写会自动计算
; CN_F000187 的价格通过 bean-price 自动获取自动计算收益
2019-05-31 * "购买债券基金 CN_F000187 (手续费千分之一)"
Assets:Fund:TT:Positions 1000 CN_F000187 {1.209 CNY}
Assets:CN:Saving:CMB -1210 CNY
Expenses:Trade:Fee 1 CNY
2019-05-30 * "货币基金自买入之日起收益" #money-fund
Assets:Fund:TT:Positions 7 CNY
Income:Trade:PnL
================================================
FILE: ledger/main.beancount
================================================
option "title" "YourLedger"
; 记账时千分之一的偏差忽略不计
option "inferred_tolerance_default" "*:0.001"
; 汇总时你希望以什么货币单位结算
option "operating_currency" "CNY"
option "operating_currency" "USD"
option "operating_currency" "HKD"
include "account.beancount"
include "init.beancount"
;; 工资流水
include "salary.beancount"
;; 工资流水
include "daily/2019.beancount"
;; 标的
include "commodity.beancount"
include "invest.beancount"
include "prices.beancount"
include "cryptocoin.beancount"
================================================
FILE: ledger/prices.beancount
================================================
2019-07-05 price AAPL 204.229999999999989768 USD
2019-07-06 price CNH 0.9990799999999999680966311643715016543865203857421875 CNY
2019-07-05 price CN_000001 13.919999999999999929 CNY
2019-07-05 price CN_510300 3.920999999999999819 CNY
2019-07-05 price CN_F000187 1.222400000000000000 CNY
2019-07-05 price CN_F110011 5.100700000000000000 CNY
2019-07-06 price HKD 0.88380000000000003002043058586423285305500030517578125 CNY
2019-07-05 price HK_0700 359.800000000000011369 HKD
2019-07-05 price HK_2800 29.500000000000000000 HKD
2019-07-06 price JPY 0.06350000000000000088817841970012523233890533447265625 CNY
2019-07-05 price SPY 298.459999999999979536 USD
2019-07-06 price USD 6.8924000000000003041122909053228795528411865234375 CNY
2019-07-05 price CN_128047 119.290000000000006253 CNY
2019-07-07 price BTC 11213.89099999999962165020406246185302734375 USD
; TODO: crypto coin price source
2019-07-16 price USDT 1.01 USD
2019-07-16 price USDT 6.95 CNY
2019-07-16 price BTC 10757.30 USDT
2019-07-16 price ETH 223.85 USDT
2019-07-15 price AAPL 205.210000000000007958 USD
2019-07-16 price CNH 0.99919999999999997708499677173676900565624237060546875 CNY
2019-07-16 price CN_000001 13.750000000000000000 CNY
2019-07-16 price CN_128047 117.709999999999993747 CNY
2019-07-16 price CN_510300 3.853000000000000203 CNY
2019-07-16 price CN_F000187 1.223300000000000000 CNY
2019-07-15 price CN_F110011 5.038900000000000000 CNY
2019-07-16 price HKD 0.87919999999999998152588887023739516735076904296875 CNY
2019-07-16 price HK_0700 362.600000000000022737 HKD
2019-07-16 price HK_2800 29.300000000000000711 HKD
2019-07-16 price JPY 0.063659999999999994368948819101206026971340179443359375 CNY
2019-07-15 price SPY 300.750000000000000000 USD
2019-07-16 price USD 6.87650000000000005684341886080801486968994140625 CNY
2019-07-16 price AAPL 203.116099999999988768 USD
2019-07-16 price CN_F110011 4.969500000000000000 CNY
2019-07-16 price SPY 296.873100000000022192 USD
2019-07-17 price AAPL 201.973899999999986221 USD
2019-07-17 price BTC 9693.8017578125 USD
2019-07-17 price CN_000001 13.689999999999999503 CNY
2019-07-17 price CN_128047 119.000000000000000000 CNY
2019-07-17 price CN_510300 3.786799999999999944 CNY
2019-07-17 price CN_F000187 1.223400000000000000 CNY
2019-07-17 price CN_F110011 4.953100000000000000 CNY
2019-07-17 price HKD 0.880129170699999963 CNY
2019-07-17 price HK_0700 363.199999999999988631 HKD
2019-07-17 price HK_2800 29.300000000000000711 HKD
2019-07-17 price SPY 294.921699999999987085 USD
2019-07-17 price USD 6.877485510499999677 CNY
2019-07-18 price AAPL 204.268300000000010641 USD
2019-07-18 price BTC 10666.484375 USD
2019-07-18 price CN_000001 13.669999999999999929 CNY
2019-07-18 price CN_128047 118.400000000000005684 CNY
2019-07-18 price CN_510300 3.762199999999999989 CNY
2019-07-18 price CN_F000187 1.223900000000000000 CNY
2019-07-18 price CN_F110011 4.894200000000000000 CNY
2019-07-18 price HKD 0.880370547800000014 CNY
2019-07-18 price HK_0700 356.600000000000022737 HKD
2019-07-18 price HK_2800 29.149999999999998579 HKD
2019-07-18 price SPY 296.001399999999989632 USD
2019-07-18 price USD 6.880171183999999940 CNY
2019-07-19 price AAPL 201.219099999999997408 USD
2019-07-19 price BTC 10530.7275390625 USD
2019-07-19 price CN_000001 13.990000000000000213 CNY
2019-07-19 price CN_128047 118.751000000000004775 CNY
2019-07-19 price CN_510300 3.801600000000000090 CNY
2019-07-19 price CN_F000187 1.224200000000000000 CNY
2019-07-19 price CN_F110011 4.936600000000000000 CNY
2019-07-19 price HKD 0.881261341500000017 CNY
2019-07-19 price HK_0700 361.800000000000011369 HKD
2019-07-19 price HK_2800 29.449999999999999289 HKD
2019-07-19 price SPY 294.357100000000002638 USD
2019-07-19 price USD 6.878407268800000196 CNY
2019-07-22 price AAPL 205.817700000000002092 USD
2019-07-22 price BTC 10343.1015625 USD
2019-07-22 price CN_000001 13.849999999999999645 CNY
2019-07-22 price CN_128047 118.219999999999998863 CNY
2019-07-22 price CN_510300 3.771999999999999797 CNY
2019-07-22 price CN_F000187 1.224800000000000000 CNY
2019-07-22 price CN_F110011 4.934500000000000000 CNY
2019-07-22 price HKD 0.881064109200000001 CNY
2019-07-22 price HK_0700 357.600000000000022737 HKD
2019-07-22 price HK_2800 29.000000000000000000 HKD
2019-07-22 price SPY 295.080199999999990723 USD
2019-07-22 price USD 6.880784663400000056 CNY
2019-07-23 price AAPL 207.426799999999985857 USD
2019-07-23 price BTC 9900.7646484375 USD
2019-07-23 price CN_000001 13.759999999999999787 CNY
2019-07-23 price CN_128047 118.000000000000000000 CNY
2019-07-23 price CN_510300 3.780899999999999928 CNY
2019-07-23 price CN_F000187 1.225400000000000000 CNY
2019-07-23 price CN_F110011 4.896000000000000000 CNY
2019-07-23 price HKD 0.880709554700000008 CNY
2019-07-23 price HK_0700 358.600000000000022737 HKD
2019-07-23 price HK_2800 29.149999999999998579 HKD
2019-07-23 price SPY 297.190099999999972624 USD
2019-07-23 price USD 6.878725498999999743 CNY
2019-07-24 price AAPL 207.257900000000006457 USD
2019-07-24 price BTC 9811.9248046875 USD
2019-07-24 price CN_000001 13.880000000000000782 CNY
2019-07-24 price CN_128047 118.653999999999996362 CNY
2019-07-24 price CN_510300 3.811399999999999899 CNY
2019-07-24 price CN_F000187 1.224700000000000000 CNY
2019-07-24 price CN_F110011 4.913800000000000000 CNY
2019-07-24 price HKD 0.879937498600000034 CNY
2019-07-24 price HK_0700 365.600000000000022737 HKD
2019-07-24 price HK_2800 29.199999999999999289 HKD
2019-07-24 price SPY 298.586700000000007549 USD
2019-07-24 price USD 6.875044883300000187 CNY
2019-07-25 price AAPL 205.619100000000003092 USD
2019-07-25 price BTC 9911.84375 USD
2019-07-25 price CN_000001 14.199999999999999289 CNY
2019-07-25 price CN_128047 122.920000000000001705 CNY
2019-07-25 price CN_510300 3.845899999999999874 CNY
2019-07-25 price CN_F000187 1.225100000000000000 CNY
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2020-05-13 price BTC 9269.98828125 USD
2020-05-13 price CN_000001 13.630000000000000782 CNY
2020-05-13 price CN_510300 3.954000000000000181 CNY
2020-05-13 price CN_F000187 1.290200000000000000 CNY
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2020-05-13 price HK_2800 24.350000000000001421 HKD
2020-05-13 price SPY 281.600000000000022737 USD
2020-05-13 price USD 7.089839080500000001 CNY
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2020-05-14 price CN_510300 3.920999999999999819 CNY
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2020-05-14 price HKD 0.916410630400000037 CNY
2020-05-14 price HK_0700 429.399800000000027467 HKD
2020-05-14 price HK_2800 24.000000000000000000 HKD
2020-05-14 price SPY 284.970000000000027285 USD
2020-05-14 price USD 7.102946627099999688 CNY
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2020-05-15 price BTC 9336.9560546875 USD
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2020-05-15 price CN_F000187 1.290200000000000000 CNY
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2020-05-15 price HKD 0.917149582399999996 CNY
2020-05-15 price HK_0700 421.199999999999988631 HKD
2020-05-15 price HK_2800 24.000000000000000000 HKD
2020-05-15 price SPY 286.279999999999972715 USD
2020-05-15 price USD 7.108631228000000135 CNY
2020-05-18 price AAPL 314.959999999999979536 USD
2020-05-18 price BTC 9726.576171875 USD
2020-05-18 price CN_000001 12.978099999999999525 CNY
2020-05-18 price CN_510300 3.914000000000000146 CNY
2020-05-18 price CN_F000187 1.292100000000000000 CNY
2020-05-18 price CN_F110011 5.370500000000000000 CNY
2020-05-18 price HKD 0.917869563100000008 CNY
2020-05-18 price HK_0700 423.000000000000000000 HKD
2020-05-18 price HK_2800 24.199999999999999289 HKD
2020-05-18 price SPY 295.000000000000000000 USD
2020-05-18 price USD 7.114844903999999914 CNY
2020-05-19 price AAPL 313.139999999999986358 USD
2020-05-19 price BTC 9729.0361328125 USD
2020-05-19 price CN_000001 13.135400000000000631 CNY
2020-05-19 price CN_510300 3.943000000000000060 CNY
2020-05-19 price CN_F000187 1.291500000000000000 CNY
2020-05-19 price CN_F110011 5.457400000000000000 CNY
2020-05-19 price HKD 0.916884647099999950 CNY
2020-05-19 price HK_0700 430.000000000000000000 HKD
2020-05-19 price HK_2800 24.600000000000001421 HKD
2020-05-19 price SPY 291.970000000000027285 USD
2020-05-19 price USD 7.106484018299999761 CNY
2020-05-20 price AAPL 319.230000000000018190 USD
2020-05-20 price BTC 9522.984375 USD
2020-05-20 price CN_000001 13.282899999999999707 CNY
2020-05-20 price CN_510300 3.927000000000000046 CNY
2020-05-20 price CN_F000187 1.293100000000000000 CNY
2020-05-20 price CN_F110011 5.410300000000000000 CNY
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2020-05-20 price HK_2800 24.649999999999998579 HKD
2020-05-20 price SPY 296.930000000000006821 USD
2020-05-20 price USD 7.100383281600000096 CNY
2020-05-21 price AAPL 316.850000000000022737 USD
2020-05-21 price BTC 9081.76171875 USD
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2020-05-21 price CN_510300 3.900999999999999801 CNY
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2020-05-21 price HK_2800 24.449999999999999289 HKD
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2020-05-25 price USD 7.136205316199999871 CNY
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2020-05-27 price BTC 9178.0654296875 USD
2020-05-27 price CN_000001 12.781399999999999650 CNY
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2020-05-28 price AAPL 318.250000000000000000 USD
2020-05-28 price BTC 9525.017578125 USD
2020-05-28 price CN_000001 13.070000000000000284 CNY
2020-05-28 price CN_510300 3.850000000000000089 CNY
2020-05-28 price CN_F000187 1.298800000000000000 CNY
2020-05-28 price CN_F110011 5.385500000000000000 CNY
2020-05-28 price HKD 0.922687835900000031 CNY
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2020-05-28 price HK_2800 23.350000000000001421 HKD
2020-05-28 price SPY 302.970000000000027285 USD
2020-05-28 price USD 7.153594771199999869 CNY
2020-05-29 price AAPL 79.205299999999994043 USD
2020-05-29 price BTC 9439.126953125 USD
2020-05-29 price CN_000001 13.000000000000000000 CNY
2020-05-29 price CN_510300 3.866000000000000103 CNY
2020-05-29 price CN_F000187 1.297900000000000000 CNY
2020-05-29 price CN_F110011 5.499000000000000000 CNY
2020-05-29 price HKD 0.920194100499999945 CNY
2020-05-29 price HK_0700 410.399999999999977263 HKD
2020-05-29 price HK_2800 23.199999999999999289 HKD
2020-05-29 price SPY 301.778300000000001546 USD
2020-05-29 price USD 7.135057471299999676 CNY
2020-06-01 price AAPL 80.179400000000001114 USD
2020-06-01 price BTC 10167.271484375 USD
2020-06-01 price CN_000001 13.320000000000000284 CNY
2020-06-01 price CN_510300 3.967999999999999972 CNY
2020-06-01 price CN_F000187 1.297200000000000000 CNY
2020-06-01 price CN_F110011 5.636400000000000000 CNY
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2020-06-01 price HK_0700 429.000000000000000000 HKD
2020-06-01 price HK_2800 23.980000000000000426 HKD
2020-06-01 price SPY 302.997999999999990450 USD
2020-06-01 price USD 7.136290032399999816 CNY
2020-06-02 price AAPL 80.550499999999999545 USD
2020-06-02 price BTC 9529.7998046875 USD
2020-06-02 price CN_000001 13.550000000000000711 CNY
2020-06-02 price CN_510300 3.979000000000000092 CNY
2020-06-02 price CN_F000187 1.293800000000000000 CNY
2020-06-02 price CN_F110011 5.560300000000000000 CNY
2020-06-02 price HKD 0.916913946600000029 CNY
2020-06-02 price HK_0700 430.399999999999977263 HKD
2020-06-02 price HK_2800 24.260000000000001563 HKD
2020-06-02 price SPY 305.506899999999973261 USD
2020-06-02 price USD 7.106944692999999980 CNY
2020-06-03 price AAPL 80.993999999999999773 USD
2020-06-03 price BTC 9656.7138671875 USD
2020-06-03 price CN_000001 13.539999999999999147 CNY
2020-06-03 price CN_510300 3.978000000000000203 CNY
2020-06-03 price CN_F000187 1.291900000000000000 CNY
2020-06-03 price CN_F110011 5.562300000000000000 CNY
2020-06-03 price HKD 0.917493689299999970 CNY
2020-06-03 price HK_0700 432.600000000000022737 HKD
2020-06-03 price HK_2800 24.679999999999999716 HKD
2020-06-03 price SPY 309.572600000000022646 USD
2020-06-03 price USD 7.110862962299999701 CNY
2020-06-04 price AAPL 80.296400000000005548 USD
2020-06-04 price BTC 9800.634765625 USD
2020-06-04 price CN_000001 13.570000000000000284 CNY
2020-06-04 price CN_510300 3.979999999999999982 CNY
2020-06-04 price CN_F000187 1.290500000000000000 CNY
2020-06-04 price CN_F110011 5.633700000000000000 CNY
2020-06-04 price HKD 0.918303914500000040 CNY
2020-06-04 price HK_0700 435.000000000000000000 HKD
2020-06-04 price HK_2800 24.719999999999998863 HKD
2020-06-04 price SPY 308.759500000000002728 USD
2020-06-04 price USD 7.116977777799999849 CNY
2020-06-05 price AAPL 82.583399999999997476 USD
2020-06-05 price BTC 9665.5341796875 USD
2020-06-05 price CN_000001 13.589999999999999858 CNY
2020-06-05 price CN_510300 4.003000000000000114 CNY
2020-06-05 price CN_F000187 1.289100000000000000 CNY
2020-06-05 price CN_F110011 5.708700000000000000 CNY
2020-06-05 price HKD 0.915042877199999993 CNY
2020-06-05 price HK_0700 434.199999999999988631 HKD
2020-06-05 price HK_2800 25.140000000000000568 HKD
2020-06-05 price SPY 316.672799999999995180 USD
2020-06-05 price USD 7.091703442200000040 CNY
2020-06-08 price AAPL 83.071600000000003661 USD
2020-06-08 price BTC 9771.494140625 USD
2020-06-08 price CN_000001 13.619999999999999218 CNY
2020-06-08 price CN_510300 4.022000000000000242 CNY
2020-06-08 price CN_F000187 1.289300000000000000 CNY
2020-06-08 price CN_F110011 5.690400000000000000 CNY
2020-06-08 price HKD 0.912828721699999956 CNY
2020-06-08 price HK_0700 430.000000000000000000 HKD
2020-06-08 price HK_2800 25.140000000000000568 HKD
2020-06-08 price SPY 320.500600000000019918 USD
2020-06-08 price USD 7.074523703999999746 CNY
2020-06-09 price AAPL 85.694900000000004070 USD
2020-06-09 price BTC 9795.701171875 USD
2020-06-09 price CN_000001 13.669999999999999929 CNY
2020-06-09 price CN_510300 4.049000000000000377 CNY
2020-06-09 price CN_F000187 1.289900000000000000 CNY
2020-06-09 price CN_F110011 5.754800000000000000 CNY
2020-06-09 price HKD 0.914257968699999979 CNY
2020-06-09 price HK_0700 433.800000000000011369 HKD
2020-06-09 price HK_2800 25.440000000000001279 HKD
2020-06-09 price SPY 318.110700000000008458 USD
2020-06-09 price USD 7.085620683500000183 CNY
2020-06-10 price AAPL 87.899600000000006617 USD
2020-06-10 price BTC 9870.08984375 USD
2020-06-10 price CN_000001 13.490000000000000213 CNY
2020-06-10 price CN_510300 4.040000000000000036 CNY
2020-06-10 price CN_F000187 1.290100000000000000 CNY
2020-06-10 price CN_F110011 5.800700000000000000 CNY
2020-06-10 price HKD 0.910931633300000043 CNY
2020-06-10 price HK_0700 446.199999999999988631 HKD
2020-06-10 price HK_2800 25.460000000000000853 HKD
2020-06-10 price SPY 316.335699999999974352 USD
2020-06-10 price USD 7.059780219800000367 CNY
2020-06-11 price AAPL 83.679500000000004434 USD
2020-06-11 price BTC 9321.7841796875 USD
2020-06-11 price CN_000001 13.080000000000000071 CNY
2020-06-11 price CN_510300 4.003000000000000114 CNY
2020-06-11 price CN_F000187 1.290900000000000000 CNY
2020-06-11 price CN_F110011 5.738600000000000000 CNY
2020-06-11 price HKD 0.912450255800000054 CNY
2020-06-11 price HK_0700 442.399999999999977263 HKD
2020-06-11 price HK_2800 24.859999999999999432 HKD
2020-06-11 price SPY 298.099300000000027921 USD
2020-06-11 price USD 7.071730701399999930 CNY
2020-06-12 price AAPL 84.401899999999997704 USD
2020-06-12 price BTC 9480.84765625 USD
2020-06-12 price CN_000001 12.990000000000000213 CNY
2020-06-12 price CN_510300 4.012999999999999901 CNY
2020-06-12 price CN_F000187 1.292100000000000000 CNY
2020-06-12 price CN_F110011 5.776200000000000000 CNY
2020-06-12 price HKD 0.913054892899999970 CNY
2020-06-12 price HK_0700 441.000000000000000000 HKD
2020-06-12 price HK_2800 24.699999999999999289 HKD
2020-06-12 price SPY 301.669199999999989359 USD
2020-06-12 price USD 7.076256192499999820 CNY
2020-06-15 price AAPL 85.445800000000005525 USD
2020-06-15 price BTC 9450.7060546875 USD
2020-06-15 price CN_000001 12.820000000000000284 CNY
2020-06-15 price CN_510300 3.955999999999999961 CNY
2020-06-15 price CN_F000187 1.292600000000000000 CNY
2020-06-15 price CN_F110011 5.664300000000000000 CNY
2020-06-15 price HKD 0.915480845299999957 CNY
2020-06-15 price HK_0700 433.600000000000022737 HKD
2020-06-15 price HK_2800 24.199999999999999289 HKD
2020-06-15 price SPY 304.485500000000001819 USD
2020-06-15 price USD 7.094996889699999976 CNY
2020-06-16 price AAPL 87.710300000000003706 USD
2020-06-16 price BTC 9538.025390625 USD
2020-06-16 price CN_000001 12.890000000000000568 CNY
2020-06-16 price CN_510300 4.017999999999999794 CNY
2020-06-16 price CN_F000187 1.290800000000000000 CNY
2020-06-16 price CN_F110011 5.746000000000000000 CNY
2020-06-16 price HKD 0.913355546899999982 CNY
2020-06-16 price HK_0700 448.800000000000011369 HKD
2020-06-16 price HK_2800 24.800000000000000711 HKD
2020-06-16 price SPY 310.346099999999978536 USD
2020-06-16 price USD 7.078263176500000142 CNY
2020-06-17 price AAPL 87.588200000000000500 USD
2020-06-17 price BTC 9480.25390625 USD
2020-06-17 price CN_000001 12.849999999999999645 CNY
2020-06-17 price CN_510300 4.022000000000000242 CNY
2020-06-17 price CN_F000187 1.289400000000000000 CNY
2020-06-17 price CN_F110011 5.778700000000000000 CNY
2020-06-17 price HKD 0.914450481900000001 CNY
2020-06-17 price HK_0700 450.600000000000022737 HKD
2020-06-17 price HK_2800
gitextract_4wi0e4ne/
├── .gitignore
├── .python-version
├── Makefile
├── README.md
├── importers/
│ └── spdccc_importer.py
├── ledger/
│ ├── account.beancount
│ ├── commodity.beancount
│ ├── cryptocoin.beancount
│ ├── daily/
│ │ ├── 2019/
│ │ │ ├── 2019-06-03-other.beancount
│ │ │ ├── 2019-06-03-settle.beancount
│ │ │ └── 2019-06-03-spdbcc.beancount
│ │ └── 2019.beancount
│ ├── init.beancount
│ ├── invest.beancount
│ ├── main.beancount
│ ├── prices.beancount
│ └── salary.beancount
├── raw-data/
│ └── spdbcc/
│ └── 2019-05-spdbcc.csv
├── requirements.in
├── requirements.txt
├── scripts/
│ ├── README.md
│ ├── generate-networth-report.py
│ ├── generate-portfolio.py
│ └── update-prices.py
└── sources/
├── eastmoney.py
├── exchangeratesapi.py
└── xueqiu.py
SYMBOL INDEX (29 symbols across 7 files)
FILE: importers/spdccc_importer.py
function _get_category (line 34) | def _get_category(narration, default_cate="TODO"):
function categorizer (line 42) | def categorizer(txn):
FILE: scripts/generate-networth-report.py
function get_maps (line 34) | def get_maps(entries):
function get_ledger_file (line 45) | def get_ledger_file():
function compute_networth_series (line 54) | def compute_networth_series(since_date, end_date=None):
function print_portfolio_csv (line 200) | def print_portfolio_csv(rows, transpose):
function add_padding (line 214) | def add_padding(rows):
function main (line 231) | def main(since, padding, transpose):
FILE: scripts/generate-portfolio.py
function get_account_map (line 27) | def get_account_map(entries):
function sort_key (line 35) | def sort_key(row):
function get_ledger_file (line 52) | def get_ledger_file():
function get_portfolio_matrix (line 61) | def get_portfolio_matrix(asof_date=None):
function print_portfolio_csv (line 225) | def print_portfolio_csv(rows):
function main (line 235) | def main(date):
FILE: scripts/update-prices.py
function yield_date_range (line 12) | def yield_date_range(start_date, end_date):
function main (line 20) | def main(argv):
function get_existed_symbol_dates (line 48) | def get_existed_symbol_dates(target_symbol):
FILE: sources/eastmoney.py
class Source (line 19) | class Source(source.Source):
method get_historical_price (line 29) | def get_historical_price(self, ticker, date):
method get_latest_price (line 32) | def get_latest_price(self, ticker):
method _get_daily_price (line 35) | def _get_daily_price(self, fund, date=None):
FILE: sources/exchangeratesapi.py
class Source (line 11) | class Source(source.Source):
method get_historical_price (line 18) | def get_historical_price(self, ticker, date=None):
method get_latest_price (line 21) | def get_latest_price(self, ticker):
method _get_daily_price (line 24) | def _get_daily_price(self, ticker, date=None):
FILE: sources/xueqiu.py
class Source (line 28) | class Source(source.Source):
method get_historical_price (line 49) | def get_historical_price(self, ticker, date):
method get_latest_price (line 52) | def get_latest_price(self, ticker):
method _get_daily_price (line 55) | def _get_daily_price(self, ticker, date=None):
Condensed preview — 27 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (322K chars).
[
{
"path": ".gitignore",
"chars": 59,
"preview": "__pycache__/\n.py[oc]\nledger/latest-prices.beancount\nlocal/\n"
},
{
"path": ".python-version",
"chars": 14,
"preview": "beancount-env\n"
},
{
"path": "Makefile",
"chars": 1211,
"preview": "GDOCIDFILE=local/gdocid\nGDOCID=`cat $(GDOCIDFILE)`\nTODAY=`date \"+%Y-%m-%d\"`\nMONTH=`date \"+%Y-%m\"`\nDIARY_MD_PATH=`date \"+"
},
{
"path": "README.md",
"chars": 20978,
"preview": "# beancount-boilerplate-cn\n\n本项目是为如下人士准备的 (AND)\n\n- 生活、工作在中国\n- 熟练使用 \\*nix 环境下终端操作\n- 对[文本记账](https://plaintextaccounting.or"
},
{
"path": "importers/spdccc_importer.py",
"chars": 2361,
"preview": "from beancount.ingest.importers import csv\nfrom beancount.core.data import Posting\n\n\n\nCOMPACT_CATE_DICT = {\n \"滴滴,嘀嘀,天"
},
{
"path": "ledger/account.beancount",
"chars": 4277,
"preview": "; 短期内不可用资产标记为 nondisposable:1\n; 不可退款的预付款标记为 sunk:1\n\n* General Accounts\n\n2000-01-01 open Equity:Openings-Balance CNY,USD,"
},
{
"path": "ledger/commodity.beancount",
"chars": 2157,
"preview": "* Currency\n\n\n2019-01-01 commodity CNY\n name: \"人民币\"\n asset-class: \"现金\"\n asset-subclass: \"本币\"\n2019-01-01 commodity CNH\n"
},
{
"path": "ledger/cryptocoin.beancount",
"chars": 411,
"preview": "\n2019-07-16 * \"人民币买USDT\"\n Assets:CN:Saving:CMB -19999.95 CNY\n Assets:CryptoCoins:Coinbase:Positions 2877.69 USDT {6.95"
},
{
"path": "ledger/daily/2019/2019-06-03-other.beancount",
"chars": 1038,
"preview": "2019-05-04 * \"吃饭同事同事付的钱, 转给他\"\n card: \"9999\"\n Expenses:Food:Meals 20.00 CNY\n Assets:CN:Saving:Wechat "
},
{
"path": "ledger/daily/2019/2019-06-03-settle.beancount",
"chars": 53,
"preview": "2019-06-30 balance Assets:CN:Saving:CMB 42430.10 CNY\n"
},
{
"path": "ledger/daily/2019/2019-06-03-spdbcc.beancount",
"chars": 2312,
"preview": ";; -*- mode: beancount -*-\n; 使用如下命令\n; bean-extract importers/spdccc_importer.py raw-data/spdbcc/2019-05-spdbcc.csv > led"
},
{
"path": "ledger/daily/2019.beancount",
"chars": 128,
"preview": "include \"2019/2019-06-03-spdbcc.beancount\"\ninclude \"2019/2019-06-03-other.beancount\"\ninclude \"2019/2019-06-03-settle.bea"
},
{
"path": "ledger/init.beancount",
"chars": 1565,
"preview": "; 从当日起使用 beancount 记账，为了做平帐，初始化的资金\n; 从 Equity:Openings-Balance CNY,USD,HKD,BTC 中来\n\n\n2019-01-01 * \"Opening Balances\"\n\tEqu"
},
{
"path": "ledger/invest.beancount",
"chars": 1177,
"preview": "; 货币基金当现金处理，这和其他场外基金(如CN_F000187)处理方式不一样\n; 原因是货币基金没有净值的概念，没办法自动计算收益\n2019-05-20 * \"在天天基金中购买了10000元某货币基金\" #money-fund\n A"
},
{
"path": "ledger/main.beancount",
"chars": 465,
"preview": "option \"title\" \"YourLedger\"\n\n; 记账时千分之一的偏差忽略不计\noption \"inferred_tolerance_default\" \"*:0.001\"\n; 汇总时你希望以什么货币单位结算\noption \"op"
},
{
"path": "ledger/prices.beancount",
"chars": 238858,
"preview": "2019-07-05 price AAPL 204.229999999999989768 USD\n2019-07-06 price CNH 0.99907999999"
},
{
"path": "ledger/salary.beancount",
"chars": 401,
"preview": "2019-05-31 * \"2019-05工资\"\n\tIncome:YourEmployer:BaseSalary -12345.00 CNY\n\tIncome:YourEmployer:HousingProvidentFund -1481.4"
},
{
"path": "raw-data/spdbcc/2019-05-spdbcc.csv",
"chars": 446,
"preview": "卡号末四位,记账日期,交易金额,交易描述\n9999,2019-05-03,44.00,支付宝 餐厅\n9999,2019-05-03,320.00,京东\n9999,2019-05-03,-320.00,京东退款\n9999,2019-05-03"
},
{
"path": "requirements.in",
"chars": 73,
"preview": "pip-tools\nbeancount\nfava\nrequests\napiclient\noauth2client\nhttplib2\npandas\n"
},
{
"path": "requirements.txt",
"chars": 3111,
"preview": "#\n# This file is autogenerated by pip-compile\n# To update, run:\n#\n# pip-compile\n#\n--index-url https://pypi.doubanio.c"
},
{
"path": "scripts/README.md",
"chars": 312,
"preview": "理论净资产\n = 总资产 - 负债\n\n净资产\n\t= 理论总资产 - 预付款项\n\n沉没资产\n = 预付款项（房租、宽带）\n\n可投资现金流(包含借来的钱)\n\t= 总资产 - 预付款项（房租、宽带）-不可支配款项（房租押金、住房公积金）\n\n可"
},
{
"path": "scripts/generate-networth-report.py",
"chars": 8423,
"preview": "#!/usr/bin/env python3\n\"\"\"\n计算每日投资盈亏和投资净值曲线\n\"\"\"\n\nimport os\nimport csv\nimport datetime\nimport logging\nimport collections\ni"
},
{
"path": "scripts/generate-portfolio.py",
"chars": 8139,
"preview": "#!/usr/bin/env python3\n\"\"\"\n本脚本用来生成持仓CSV, 后续可以把CSV导入表格软件进一步聚合分析。\n和 bean-report 相比主要的优先是：\n\n- 输出带 meta 中自定义的名称，资产类别\n- 过滤已支出"
},
{
"path": "scripts/update-prices.py",
"chars": 1874,
"preview": "#!/usr/bin/env python3\nimport os\nimport sys\nimport datetime\n\n\nONE_DAY = datetime.timedelta(days=1)\nROOT_DIR = os.path.di"
},
{
"path": "sources/eastmoney.py",
"chars": 1945,
"preview": "import time\nimport re\nimport logging\nimport json\nimport requests\nfrom dateutil import tz,utils\nfrom datetime import date"
},
{
"path": "sources/exchangeratesapi.py",
"chars": 1331,
"preview": "import time\nimport json\nimport requests\nfrom dateutil import tz,utils\nfrom datetime import datetime\n\nfrom beancount.core"
},
{
"path": "sources/xueqiu.py",
"chars": 2924,
"preview": "import time\nimport json\nimport requests\nfrom dateutil import tz,utils\nfrom datetime import datetime\n\nfrom beancount.core"
}
]
About this extraction
This page contains the full source code of the mckelvin/beancount-boilerplate-cn GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 27 files (298.9 KB), approximately 109.1k tokens, and a symbol index with 29 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.