#backtesting

Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python

Market data acquisition, storage, and update workflows for machine learning for trading.

MaverickMCP - Personal Stock Analysis MCP Server

Open-source API for financial data. Get quotes, historical data, technical indicators, and more.

Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.

Production multi-asset portfolio construction and rolling backtesting in Python

bt - flexible backtesting for Python

Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.

Algorithmic Trading in Python with Machine Learning

Event-driven backtesting for quantitative strategies with configurable execution, accounting, risk, and framework-parity validation.

Paper trading simulator for Polymarket

Candlestick patterns detection.

Serializable, runtime-neutral contracts for market data, artifacts, strategy lifecycles, and execution across ML4T libraries.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Simplified Investment & Trading Toolkit with Python & C++

Streaming-native backtester for the Wickra indicator library — backtest == live, in 10 languages (WIP).

The backtester that knows you would have moved the market: agent-based fills on the real historical L2 order book.

Framework for quantitative strategies development, backtesting and live execution.

TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.

scikit-learn-compatible time-series cross-validation: purging, embargo, combinatorial purged CV, and deflated Sharpe ratios

SimTradeLab is an open-source backtesting framework inspired by PTrade’s event-driven architecture. It features a lightweight, modular design and full syntax compatibility, enabling seamless strategy development and validation.