Tools

The most popular open-source crypto trading bot, with FreqAI for ML-driven strategies

Microsoft's AI-oriented quant investment platform, from data to backtest to execution

Rust-native, event-driven trading platform with identical backtest and live code paths

The long-standing Python backtesting and live-trading framework

Institutional-grade event-driven backtesting and live-trading engine

Open-source framework for market making and algorithmic trading on crypto exchanges

Python wrapper for the standard technical-analysis indicator library

Vectorised backtesting on NumPy and Numba for testing thousands of parameter sets at once

Small, readable Python backtesting library for single-asset strategies

Crypto research and trading framework focused on strategy development

Portfolio optimisation library with a very wide set of risk measures

Collection of agent skills for financial analysis following the Agent Skills open standard

Claude Code skill workflows for individual investors: market review, risk, trade planning and journaling

Portfolio optimisation built on the scikit-learn API, with proper cross-validation

Python trading framework that backtests and places orders through a dozen brokers

Maintained fork of Quantopian's Zipline backtester

Open data platform for analysts, quants and AI agents, with an MCP server built in

Classical and modern portfolio optimisation in Python

No-code platform that turns natural-language ideas into automated, rebalanced strategies