#jupyter_notebook #algorithmic_trading #finance #investing #jupyter_notebooks #machine_learning #python #quantitative_finance #research #trading

https://github.com/hudson-and-thames/research

#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 #finance #pattern_recognition #quantitative_finance #ta_lib #technical_analysis

https://github.com/mrjbq7/ta-lib

#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

#jupyter_notebook #funds #machine_learning #pytrade #quantitative_finance #quantitative_trading #quantization #strategies #trademarks

https://github.com/UFund-Me/Qbot

#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 #artificial_intelligence #crypto #cryptocurrency #economics #finance #hacktoberfest #investment #investment_research #machine_learning #openbb #python #quantitative_finance #stocks

The OpenBB Platform is a free and fully open-source financial platform that gives you access to a wide range of financial data, including equities, options, crypto, forex, and more. It offers a command-line interface and various extensions to enhance your experience. You can install it easily using `pip install openbb` or by cloning the repository. The platform also includes an AI financial analyst agent and a professional terminal version. This helps you make informed financial decisions with comprehensive data and tools, all while being free and community-driven.

https://github.com/OpenBB-finance/OpenBB

#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