| jesse.trade | Backtesting | Backtesting framework, $999 lifetime membership, over 10,000 paid users |
| opensqt_market_maker | Market Maker System | Long-only, grid trading |
| trader project | Futures | Domestic expert's futures trading, includes market data interface and account management, can be referenced |
| tqsdk-python | Futures Options | Supports simulation and live trading, domestic market |
| dapanyuntu | Data Analysis | Market cloud chart |
| Xuntou Knowledge Base | Service Provider |     |
| Xuntou XtQuant | Trading Framework | XtQuant currently provides libraries for 64-bit Python 3.6, 3.7, 3.8, 3.9, 3.10, 3.11 versions, automatically switching when importing different Python versions. Before running programs using XtQuant, the MiniQMT client needs to be started. |
| financialmodelingprep | US Stocks | API data |
| akshare | | |
| baostock | | |
| FinRobot | AI | AI analysis + automated trading |
| stockcircle | US Stocks | View large holder positions |
| sharpe.ai | Service Provider | Integrated AI cryptocurrency service provider |
| Blazer Platform | Service Provider | Charges commission fees |
| Wenhua | Service Provider | ¥8,700 per year |
| VNPY | Futures | Uses Python, complex to use, but requires finding your own data sources |
| Stockstats | Python | A library specifically designed for financial data analysis, helping to easily transform and analyze stock data, with features including stock indicator calculation, data format conversion, high flexibility |
| xalpha | Python | Mainly used for quantitative investment and data analysis. It integrates numerous financial data interfaces and provides rich APIs for acquiring and processing financial data such as stocks, futures, and forex |
| Prophet | Python | Excels at discovering periodic features like monthly, weekly, and daily frequencies, and can handle anomalies and missing data |
| tsfresh | Python | Excels at removing data noise and multi-feature extraction, especially for ultra-long time-scale big data processing at the order book level |
| kats | python | Excellent feature extraction and multivariate analysis, comes with over ten prediction and pattern recognition models, 65 feature metrics, built-in time series simulator |
| darts | python | Provides multiple models from ARIMA to deep learning, supports multi-model ensemble forecasting, external data acquisition and multi-factor combinations, excellent support for big data training, simple to use and backtest |
| mamba | python | 📝 Mamba SSM architecture is a high-level neural network architecture for building and training state space models, which demonstrate superior performance in processing sequential data and time series forecasting. |
| Python library Shap game theory plugin | python | Primarily used to interpret the output of machine learning models. Shap utilizes Shapley values from game theory to explain the contribution of each feature to the model's prediction results |
| 生意社 | Comprehensive Information | Futures comprehensive website |
| 金十数据 | Comprehensive Information | Provides global financial data and news |
| 卓创资讯 | Comprehensive Information | In-depth analysis of the commodity market |
| 金联创 | Comprehensive Information | Industry information for energy, chemicals, plastics, etc. |
| 隆众资讯 | Energy and Chemicals | Focuses on petrochemical industry information |
| 期货日报网 | Industry Media | Authoritative media in the futures industry |
| 和讯期货网 | Industry Media | Futures channel of a financial portal website |
| 我的钢铁网 | Black Sector | Authoritative website for the steel industry |
| 中国钢铁产业网 | Black Sector | Data for black industries such as rebar |
| 找钢网 | Black Sector | Steel e-commerce platform |
| 钢谷网 | Black Sector | Steel market information |
| 中国煤炭资源网 | Black Sector | Coal industry data and services |
| 中国钢材网 | Black Sector | Steel industry portal |
| 中国碳交易网 | Black Sector | National carbon emission trading information |
| 中国金融信息网 | Macro Data | Operated by Xinhua News Agency, provides macroeconomic and financial information |
| 巨潮资讯 | Macro Data | China Securities Regulatory Commission designated information disclosure website |
| State Administration of Foreign Exchange | Macro Data | Official foreign exchange management, statistical data, and policy releases |
| trader project | Futures (Tools/Open Source) | Domestic expert's futures trading, includes market data interface and account management, can be referenced |
| tqsdk-python | Futures/Options (Tools/Open Source) | Supports simulation and live trading in the domestic market |
| Qlib | AI Quantitative Finance Tool Library | Powerful open-source quantitative tool library, provides data management, factor analysis, machine learning, and backtesting functions |
| RD-Agent | AI Automated Factor Testing | Tool for automated factor testing |
| data-formulator | Data Tools | Tool for data processing and formatting |
| stocksharp | Software | Quantitative trading software developed in Russia, supports multiple trading platforms and algorithmic trading strategies. It allows users to design, test, and execute trading strategies, while providing rich charts and market data analysis tools,   |
| Maeiee's Quant Notes | Personal | Technical analysis |
| Baostock Quantitative | Basic Data | Python library, free |
| tushare.pro | Basic Data | Python library, up to 1500 per year |
| ai_quant_trade ai trader project | AI Trading | Deep learning integration framework |
| tvcbot | Bot | Automated trading robot, $500 per year |
| I Check Exchange Rates | Exchange Rates | Very concise exchange rate quote page |
| futunn api | Broker API | Futu Securities API, can place orders |
| Get All A-Share Stock Data | API | Stock codes |
| CNINFO | Corporate Announcements | Produced by Shenzhen |
| eastmoney | Basic Data | |
| Binance Open Data | Binance | |
| SeqSNN | Time Series Model | Microsoft |
| TALib.NETCore | Indicator Library | Mostly correct, very convenient for calculations, not sure why the latest version has major changes, better to use the older version |
| tsfresh | ai | An open-source Python tool focused on automated feature extraction and selection |
| kats | Time Series | Helps analyze data that changes over time, analyze the past, predict the future, and identify issues, suitable for business analysis, operational monitoring, and alerts. It can understand key statistical features, detect change points and anomalies, forecast future trends, perform statistical analysis, and visualize results. 【This should be tested first, as the code is simple and easy to test】 |
| python-time-series-handbook | | |
| CryptoMamba Time State Model, better than LSTM | | |
| Aspiring Code Technology | Papers | Paper reproduction, paid service |