#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_engine #artificial_intelligence #crypto_trading #equity_trading #forex #futures_trading #machine_learning #options_trading #python #rust #sports_betting #trading #trading_platform

NautilusTrader is a powerful, open-source trading platform that lets you backtest and deploy automated trading strategies easily. It combines the performance of Rust with the ease of use of Python, allowing you to write strategy code once and use it for both backtesting and live trading without changes. This platform supports multiple trading venues, asset classes, and advanced order types, making it highly flexible and customizable.

Using NautilusTrader, you can integrate with various exchanges like Binance, Interactive Brokers, and more through modular adapters. It also offers high-performance capabilities, reliability, and portability across different operating systems. The platform is designed with safety and correctness in mind, ensuring robust and reliable trading operations.

Overall, NautilusTrader simplifies the process of developing and deploying trading strategies, reducing operational risks and enhancing overall trading efficiency.

https://github.com/nautechsystems/nautilus_trader

#csharp #algorithm #algorithmic_trading_engine #c_sharp #finance #forex #lean_engine #options #python #quantconnect #stock_indicators #trading #trading_algorithms #trading_bot #trading_platform #trading_strategies

LEAN is a free, open-source platform for building, backtesting, and live-trading algorithms across stocks, forex, crypto, options, and more. Install the CLI with `pip install lean` to easily create projects, run research in Jupyter, backtest strategies, optimize, or deploy live trades from your terminal using Docker. Its modular design lets you customize everything. This saves you time by streamlining development, avoiding biases, and enabling fast, realistic testing to profit from better trading strategies.

https://github.com/QuantConnect/Lean