#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

#go #cli #golang #golang_cli #stock_cli #stock_data #stock_market #stock_market_data #stocks #termial_based #terminal_graphics

https://github.com/ericm/stonks

#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 #financial_data #fix_yahoo_finance #market_data #pandas #stock_data #yahoo_finance #yahoo_finance_api

https://github.com/ranaroussi/yfinance

#jupyter_notebook #finance #fintech #investment_strategies #jupyter_notebook #machine_learning #python #pytorch #quantitative_trading #reinforcement_learning #stock_market #trading_platform

https://github.com/TradeMaster-NTU/TradeMaster

#typescript #angular #etf #finance #fintech #ghostfolio #hacktoberfest #investing #nestjs #oss #personal_finance #portfolio #prisma #software #stock #tracker #trading #wealth_management #web

https://github.com/ghostfolio/ghostfolio

#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 #backtest #backtesting #broker_trading_platform #quantitative #quantitative_finance #stock #stocks #strategies #strategy

The InStock股票系统 is a powerful tool for stock market analysis and automated trading. Here’s the key information and its benefits
- **Comprehensive Data Analysis** Supports automatic trading with built-in strategies and logs transactions.
- **Efficient Performance** Offers a web-based interface for visualizing results and managing data.
- **Flexibility** Includes features to identify potential buy and sell signals based on technical indicators like MACD, RSI, and KDJ.

Overall, this system is a valuable tool for investors looking to streamline their stock analysis and trading processes.

https://github.com/myhhub/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

#python #financial_data #fix_yahoo_finance #market_data #pandas #python #stock_data #yahoo_finance #yahoo_finance_api

You can use `yfinance` to easily download financial and market data from Yahoo Finance using Python. This tool is great for research and educational purposes, allowing you to fetch data for single or multiple stock tickers, sectors, industries, and more. It's free, open-source, and easy to install with `pip install yfinance`. However, remember to check Yahoo!'s terms of use to understand your rights to the data. This helps you get valuable market information quickly and efficiently.

https://github.com/ranaroussi/yfinance

#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