#python #akshare #aktools #data #data_science #datasets #financial_data #fundamental #fushare #futures #futures_historical_data #option #options #quant #stock #stock_hist_data #tushare #tushare_pro

https://github.com/jindaxiang/akshare

#other #algorithmic_trading_engine #algorithmic_trading_library #algotrading #arbitrage_bot #awesome #awesome_list #finance #finance_api #financial_data #financial_instruments #google_finance #quant #quantitative_finance #quantitative_trading #stock_data #technical_analysis #trading_algorithms #trading_bot #trading_strategies #yahoo_finance

https://github.com/wilsonfreitas/awesome-quant

#python #algorithmic_trading #auto_quant #finance #investment #machine_learning #platform #quant #quant_dataset #quant_models #quantitative_finance #quantitative_trading #stock_data

https://github.com/microsoft/qlib

#python #algorithmic_trading #bollinger_bands #commodity_trading #macd #momentum_strategy #momentum_trading_strategy #options_strategies #options_trading #pair_trading #quant #quantimental_analysis #quantitative_finance #quantitative_trading #quantitative_trading_strategies #statistical_arbitrage #trading_algorithms #trading_bot #trading_strategies #trading_strategy #trading_systems

https://github.com/je-suis-tm/quant-trading

#python #algorithmic_trading #algotrading #alpha #arbitrage_bot #awesome #awesome_list #book #finance #futures #futures_historical_data #futures_market #futuresmarkets #paper #quant #quantitative_finance #quantitative_trading #trading_algorithms #trading_bot #trading_strategies

https://github.com/edarchimbaud/awesome-systematic-trading

#python #python #quant #stock

This project helps you improve your stock trading skills by providing various tools and analyses. It includes sections for data analysis, fund tracking, K-line pattern recognition, and automated trading interfaces. You can configure the database settings to switch between online and local databases easily. The project also offers features like monitoring stock performance, detecting blacklisted stocks, and analyzing IPOs. Additionally, it provides a low-fee quantification trading interface for A-share markets, bonds, and funds with different brokerage options. This tool can help you make more informed decisions and automate your trading processes efficiently.

https://github.com/Rockyzsu/stock

#python #algorithmic_trading #auto_quant #deep_learning #finance #fintech #investment #machine_learning #paper #platform #python #quant #quant_dataset #quant_models #quantitative_finance #quantitative_trading #research #research_paper #stock_data

Qlib is an open-source platform for quantitative investment that uses AI technologies. It supports various machine learning models and helps in finding valuable signals in financial data, adapting to market dynamics, and optimizing trading strategies. Here are the key benefits Qlib introduces RD-Agent, a tool that automates factor mining and model optimization, making it easier to develop quant investment strategies.
- **Diverse Machine Learning Models** It covers the entire chain of quantitative investment, including data processing, model training, backtesting, and order execution.
- **Customizable Workflows** Qlib's data server is optimized for performance, allowing fast data processing and retrieval, which is crucial for real-time trading decisions.

Overall, Qlib simplifies the process of building and optimizing quant investment strategies, making it a powerful tool for researchers and investors.

https://github.com/microsoft/qlib

#c_lang #ctp #ctpapi #futures #options #quant #simnow #stock #tora #trader #tts #xtp

openctp is a powerful open-source trading platform compatible with many Chinese securities and futures trading systems, offering both real and simulated trading environments for futures, options, stocks, funds, and bonds across domestic and global markets like A-shares, Hong Kong, and US stocks. It provides easy access to CTPAPI through Python and other programming languages, plus user-friendly trading clients with graphical and command-line interfaces. You can register free simulation accounts instantly via WeChat, enabling you to practice and test trading strategies in real-time or 24/7 environments. It also offers training, development support, and a monitoring platform for multiple trading systems, helping you learn, develop, and trade efficiently with low costs and broad market access. This benefits you by giving a flexible, comprehensive, and cost-effective way to develop, test, and execute trading strategies across many markets with strong community and technical support.

https://github.com/openctp/openctp