| chan.py | Trading Framework | Chan theory trading framework, integrated with machine learning |
| timestamp tool | Tool | Online timestamp tool |
| SeqSNN | Time Series | Microsoft model |
| coinglass | Data | Chinese data dashboard |
| ahr999 | Index | 9 God index |
| Li Xiaolai's Dollar Cost Averaging Guide | Concept | Dollar cost averaging outperforms most quantitative algorithms |
| CSI Index Browser | Index | List of indices in the domestic market |
| coinglass | Arbitrage | Funding rate arbitrage trading |
| deepvue | Quantitative Tool | $40 per month |
| Squirrel Quant AI | AI Quantitative | Based on SSQUANT framework + AI large model, real-time monitoring of 34 futures products, 3-minute level dual-dimension cross-sectional scoring of technical and capital aspects |
| hummingbot | Trading | Supports Docker deployment, DEX, CEX, spot, futures |
| freqtrade | Trading | Open source cryptocurrency trading bot, supports strategy backtesting, paper trading, Telegram control |
| ccxt | Trading Library | Supports 100+ cryptocurrency exchange APIs, multi-language (Python/JS/PHP), provides unified calling interface |
| jesse | Quantitative Trading | Focuses on cryptocurrency strategy backtesting and research, written in Python, simple and easy-to-use framework |
| vnpy | Quantitative Framework | Python-based open source quantitative trading framework, supports multiple markets (futures/stocks/cryptocurrency) and multiple strategies |
| OctoBot | Trading | Supports visual interface configuration, strategy backtesting, community strategy sharing, suitable for beginners |
| jesse.trade | Backtesting | Backtesting framework, $999 lifetime membership, over 10,000 paid users |
| opensqt_market_maker | Market Maker System | Only long, 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 in the domestic market |
| dapanyuntu | Data Analysis | Market Cloud Map |
| 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, and 3.11 versions. When importing different Python versions, it will automatically switch. Before running programs that use XtQuant, you need to start the MiniQMT client first. |
| financialmodelingprep | US Stocks | API Data |
| akshare | | |
| baostock | | |
| FinRobot | AI | AI Analysis + Automated Trading |
| stockcircle | US Stocks | View Large Holder Positions |
| sharpe.ai | Service Provider | AI-Integrated Cryptocurrency Service Provider |
| Pioneer Platform | Service Provider | Commission Fee |
| Wenhua | Service Provider | 8700 RMB per Year |
| VNPY | Futures | Uses Python, complex to use, but requires finding your own data source |
| Stockstats | Python | A library specifically designed for financial data analysis, helping us easily transform and analyze stock data. Features include stock indicator calculation, data format conversion, high flexibility |
| xalpha | Python | Mainly used for quantitative investment and data analysis. It integrates a large number of financial data interfaces and provides rich APIs for obtaining and processing financial data such as stocks, futures, and foreign exchange |
| Prophet | Python | Good at discovering periodic features such as monthly, weekly, and daily frequencies, and can handle anomalies and missing data |
| tsfresh | Python | Good at removing data noise and multi-feature extraction, especially for ultra-long time scale large data volume processing at the order book level |
| kats | Python | Excellent at feature extraction and multivariate analysis, comes with over ten prediction and pattern recognition models, 65 feature indicators, and a built-in time series simulator |
| darts | Python | Provides multiple models from ARIMA to deep learning, supports multi-model fusion prediction, external data acquisition and multi-factor combination, and also supports large data training very well. Usage and backtesting are simple |
| mamba | Python | 📝 The Mamba SSM architecture is a high-level neural network architecture for building and training state space models, which show superior performance in processing sequence data and time series prediction. |
| Python Library Shap Game Theory Plugin | Python | Mainly used to explain the output of machine learning models. Shap uses Shapley values from game theory to explain the contribution of each feature to the model's prediction results |
| 生意社 | Comprehensive Information | Comprehensive futures website |
| 金十数据 | Comprehensive Information | Provides global financial data and news |
| 卓创资讯 | Comprehensive Information | In-depth analysis of bulk commodity markets |
| 金联创 | Comprehensive Information | Industry information on energy, chemicals, plastics, etc. |
| 隆众资讯 | Energy & 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 |
| 我的钢铁网 | Ferrous Sector | Authoritative website for the steel industry |
| 中国钢铁产业网 | Ferrous Sector | Data on rebar and other ferrous industries |
| 找钢网 | Ferrous Sector | Steel e-commerce platform |
| 钢谷网 | Ferrous Sector | Steel market information |
| 中国煤炭资源网 | Ferrous Sector | Coal industry data and services |
| 中国钢材网 | Ferrous Sector | Steel industry portal |
| 中国碳交易网 | Ferrous Sector | National carbon emissions trading information |
| 中国金融信息网 | Macro Data | Hosted by Xinhua News Agency, provides macroeconomic and financial information |
| 巨潮资讯 | Macro Data | Designated information disclosure website by China Securities Regulatory Commission |
| 国家外汇管理局 | Macro Data | Official foreign exchange management, statistical data, and policy releases |
| trader项目 | Futures (Tools/Open Source) | Domestic expert's futures trading system with market data interface and account management, can be referenced |
| tqsdk-python | Futures/Options (Tools/Open Source) | Supports simulation and live trading in domestic markets |
| Qlib | AI Quantitative Finance Tool Library | Powerful open-source quantitative tool library providing data management, factor analysis, machine learning, and backtesting functions |
| RD-Agent | AI automated testing factors | Tool for automated testing factors |
| data-formulator | Data tools | Tool for data processing and formatting |
| stocksharp | Software | Quantitative trading software developed in Russia, supporting multiple trading platforms and algorithmic trading strategies. It allows users to design, test, and execute trading strategies, while providing rich charting and market data analysis tools.   |
| Maeiee's Quant Quantitative Notes | Personal | Technical analysis |
| Securities Bao 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 bot, $500 per year |
| My Exchange Rate Check | Exchange rate | 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 |
| Juchao Information | Corporate announcements | From 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; it's better to use the old version. |
| tsfresh | ai | 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 detect problems. Suitable for business analysis, operational monitoring, and early warning. It can understand key statistical features, detect change points and anomalies, predict future trends, perform statistical analysis, and visualize results. [This should be tested first, simple code, easy to test] |
| python-time-series-handbook | | |
| CryptoMamba Time State Model, Better than LSTM | | |
| Chuanzhi Technology | Paper | Paper reproduction, paid |