Backtest Registry

QuantConnect
Name: QuantConnect
Link: https://www.quantconnect.com/
Type: algorithmic trading platform
Domain: backtesting, live trading
Primary use: quantitative research and execution
Known for: LEAN open-source engine, multi-asset support, cloud-based backtesting
Description: Cloud-based platform for quantitative research, backtesting, and live trading. Includes access to financial data, alternative datasets, and supports equities, options, futures, forex, and cryptocurrencies. Uses open-source LEAN engine for strategy development and execution.
Status: pending 🟡
vectorbt
Name: vectorbt
Link: https://vectorbt.dev/
Type: Python backtesting library
Domain: backtesting, portfolio analysis
Primary use: vectorized backtesting and portfolio optimization
Known for: NumPy-based vectorization, fast computation, interactive visualizations
Description: Python library for backtesting and analyzing trading strategies. Uses NumPy vectorization for computation. Includes features for portfolio optimization, parameter scanning, and performance metrics. Provides visualization tools for strategy analysis.
Status: pending 🟡
Nautilus Trader
Name: Nautilus Trader
Link: https://www.nautilustrader.io/
Type: high-performance trading framework
Domain: backtesting, live trading, algorithmic execution
Primary use: institutional-grade trading system development
Known for: Cython performance, event-driven architecture, multi-asset support
Description: Python trading framework with Cython components. Uses event-driven architecture for backtesting and live trading. Supports multiple asset classes. Includes order management, risk management, and real-time market data processing features.
Status: pending 🟡
Backtrader
Name: Backtrader
Link: https://www.backtrader.com/
Type: Python backtesting library
Domain: backtesting, strategy development
Primary use: algorithmic trading strategy backtesting
Known for: flexible strategy framework, live trading support, indicator library
Description: Python backtesting library for trading strategies. Supports strategy development, testing, and deployment. Includes support for multiple data feeds, indicators, and brokers. Can be used for backtesting and live trading.
Status: pending 🟡
Jesse.ai
Name: Jesse.ai
Link: https://jesse.trade/
Type: cryptocurrency trading framework
Domain: backtesting, live trading, crypto markets
Primary use: cryptocurrency strategy development and execution
Known for: crypto-focused features, paper trading, portfolio management
Description: Python trading framework for cryptocurrency markets. Includes backtesting, paper trading, and live trading capabilities. Features portfolio management, risk management, and supports multiple cryptocurrency exchanges.
Status: pending 🟡