#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

#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