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https://github.com/chriskyfung/pandas_stock_notebook

使用Pandas和Pandas Datareader的查詢香港股票的Jupyter Notebook範例
https://github.com/chriskyfung/pandas_stock_notebook

hkex hong-kong jupyter-notebook pandas pandas-datareader python quandl stock-prices

Last synced: about 1 month ago
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使用Pandas和Pandas Datareader的查詢香港股票的Jupyter Notebook範例

Host: GitHub
URL: https://github.com/chriskyfung/pandas_stock_notebook
Owner: chriskyfung
License: other
Created: 2021-06-30T13:35:48.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2022-09-02T07:37:25.000Z (over 2 years ago)
Last Synced: 2024-11-11T05:45:55.445Z (3 months ago)
Topics: hkex, hong-kong, jupyter-notebook, pandas, pandas-datareader, python, quandl, stock-prices
Language: Jupyter Notebook
Homepage: https://medium.com/p/6264c42959d3
Size: 71.3 KB
Stars: 1
Watchers: 3
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE

Awesome Lists containing this project

README

        # pandas stock notebook

![MADE WITH JYPYTER](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=flat&logo=Jupyter) ![MADE WITH JYPYTER](https://img.shields.io/badge/Made%20with-Python-3776AB?style=flat&logo=Python&logoColor=white) [![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]

使用 Pandas 和 Pandas Datareader 的查詢香港股票的 Jupyter Notebook 範例

👇 **親自試試看** 👨‍💻

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/chriskyfung/pandas_stock_notebook/blob/main/pandas_hkstock_datareader.ipynb) [![Binder](https://binder.pangeo.io/badge_logo.svg)](https://mybinder.org/v2/gh/chriskyfung/pandas_stock_notebook/main/?urlpath=lab)

* * *

## 安裝 Python Packages

```shell

pip install -r requirements.txt

```

## 環境變數

請將您的 **Quandl API** 密鑰填寫至開發專案根目錄中的 `.env` 文件。

```shell

QUANDL_API_KEY=

```

## 用法

### 從 stocks.py 載入 `stock_profile` 類別

```py

from stocks import stock_profile

stocks = stock_profile()

```

### 從 JSON 文件讀入股票組合清單及股票名稱索引

```py

stocks.loadJsonProfile('./stocks.json')

```

### 從 Quandl 下載某一天的股票組合數據

```py

from datetime import date

tickers = ['0001.hk', '0941.hk','1810.hk']

d = date(2021, 9, 15)

stocks.cacheFromQuandl(tickers, d)

```

## License

This work is licensed under a

[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].

[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]

[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/

[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png

[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg