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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失
动量当前有效 · 2026-09-12
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关注度当前有效 · 2026-09-12
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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

Build deterministic trading strategies, AI trading agents, and AI trading teams for stocks, options, crypto, futures, forex, prediction markets, SEC filings, FRED macro data, technical indicators, and real brokers. Backtest, paper trade, or run live with the same Python code.

Start with the open-source docs, then deploy when you are ready: Lumibot documentation · Try a sample Lumibot strategy on BotSpot

After the backtest works, keep the MyStrategy class and replace the final MyStrategy.backtest(...) call with a broker runner. This example uses Alpaca paper trading:

Start with paper trading. When you are ready for live trading, use the same strategy class and switch your broker…

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