#python #algo_trading #algorithmic_trading #backtesting #backtesting_engine #backtesting_frameworks #backtesting_trading_strategies #finance #financial_markets #forex #forex_trading #framework #hacktoberfest #investing #investment #investment_strategies #stocks #trading #trading_algorithms #trading_simulator #trading_strategies
https://github.com/kernc/backtesting.py
https://github.com/kernc/backtesting.py
GitHub
GitHub - kernc/backtesting.py: 🔎 📈 🐍 💰 Backtest trading strategies in Python.
🔎 📈 🐍 💰 Backtest trading strategies in Python. Contribute to kernc/backtesting.py development by creating an account on GitHub.
#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
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
GitHub
GitHub - nautechsystems/nautilus_trader: A high-performance algorithmic trading platform and event-driven backtester
A high-performance algorithmic trading platform and event-driven backtester - 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
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
GitHub
GitHub - QuantConnect/Lean: Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#) - QuantConnect/Lean