QFF: Quantize Financial Framework
QFF is a Python package of quantitative financial framework, which is used to provide a localized backtesting and simulation trading environment for individuals, so that users can focus more on trading strategy writing.
Main Features
Here are just a few of the things that QFF does well:
- Provide one-stop solutions such as data crawling, data cleaning, data storage, strategy writing, strategy analysis, strategy backtest and simulated trade.
- Provide graceful interface for strategy writing (similar to JoinQuant), facilitate users to get started quickly.
- Provide a local running environment to improve the strategy running efficiency.
- Provide rich interfaces to obtain free stock data, such as fundamental data, real-time and historical market data etc.
- Provide practical auxiliary functions to simplify strategy writing, such as indicator calculation, trading system framework, etc.
Installation
Source code
The source code is currently hosted on GitHub at: https://github.com/haijiangxu/qff
General
pip install qff --upgrade
China
pip install qff -i http://mirrors.aliyun.com/pypi/simple/ --upgrade
Docker
Docker image for the QFF is at https://hub.docker.com/r/haijiangxu/qff.
pull docker image
docker pull qff
run docker image
docker run -d -v /root/xxxx:/root/work -p 8765:8765 qff
Document
Documentation for the latest Current release is at https://qff.readthedocs.io/zh_CN/latest/.
Contribution
QFF is still under developing, feel free to open issues and pull requests:
- Report or fix bugs
- Require or publish interface
- Write or fix documentation
- Add test cases
Statement
- QFF only supports stocks, but not other financial products such as futures, funds, foreign exchange, bonds, cryptocurrencies, etc.
- All data provided by QFF is just for academic research purpose.
- The data provided by QFF is for reference only and does not constitute any investment proposal.
- Any investor based on QFF research should pay more attention to data risk.
- QFF will insist on providing open-source financial data.
- Based on some uncontrollable factors, some data interfaces in QFF may be removed.
- Please follow the relevant open-source protocol used by QFF.
Acknowledgement
Special thanks QUANTAXIS for the opportunity of learning from the project;
Special thanks AKShare for the opportunity of learning from the project;
Special thanks JoinQuant for the opportunity of learning from the project;
1 maintainer
Metadata
1 maintainer
Release files for qff 0.5.19
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qff-0.5.19.tar.gz | 150.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qff-0.5.19-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 346.0 kB
Release files / qff-0.5.19.tar.gz
| Download URL | qff-0.5.19.tar.gz |
|---|---|
| Size | 150.4 kB |
| Tags | Source |
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Release files / qff-0.5.19-py3-none-any.whl
| Download URL | qff-0.5.19-py3-none-any.whl |
|---|---|
| Size | 195.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.8.10
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