Lumibot by Lumiwealth

Lumibot is a Python framework for algorithmic trading that supports strategies written as rules, as AI agents, or as a combination of both. Users can backtest a strategy on historical data, review the resulting trades and performance, then run it in paper trading or live by connecting a supported broker. It is aimed at traders and developers who write their own strategies in Python. The strategy API follows a lifecycle model with methods for initialization and each trading iteration, plus hooks for market open and close and for order events. It covers order management, account and position queries, price and historical data retrieval, options chains and greeks, chart markers and custom tearsheet metrics. The AI trading side lets users design a team of agents with built in tools, stateful browser tools, memory, notifications and observability. The documentation includes worked examples such as a Warren Buffett style stock picker, a Fear and Greed Index bot, options strategies including iron condors and 0DTE trades, and multi agent team designs. It also carries comparisons with other frameworks, including TradingAgents, ai hedge fund and QuantConnect LEAN, and a guide for using it with coding agents. The documentation site is published by Lumiwealth. It does not list prices or plans, so pricing is not published there.