Lumiwealth/lumibot
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets. observed · 2026-10-21
Health v2 · maintenance only
96/100
- Activity 100
- Release rhythm 88
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 1
- age_days: 2231
- days_rel: 1
- days_push: 0
- n_releases_24m: 118
Adoption not part of the score
2142 stars · 414 forks observed · 2026-10-21
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Lumibot is a Python framework for building, backtesting, and deploying algorithmic trading strategies and AI-agent trading teams across stocks, options, crypto, futures, and forex. It provides a unified strategy API with lifecycle methods, order/account management, historical data access, and broker integrations like Alpaca and Interactive Brokers for paper and live trading.
Use cases
- backtest a python trading strategy on historical data
- build an ai trading agent that places orders with an llm
- run a trading bot on alpaca or interactive brokers
- trade options spreads and iron condors automatically
- backtest multi-agent trading teams with simulated orders
- connect a strategy to real brokers for live trading
- analyze sec filings and fred macro data in a strategy
- reuse the same strategy code for backtest and live deployment
When to choose
- you want a python framework that unifies backtesting and live broker execution
- you need to build deterministic or llm-driven trading strategies across multiple asset classes
- you want multi-agent AI trading teams with memory, tools, and observability
- you prefer a high-level strategy API with lifecycle hooks over raw broker SDKs
When to avoid
- you need a general-purpose backtesting library for non-financial data
- you require a visual no-code trading platform
- you need ultra-low-latency HFT execution
- you want a GPL-free license for proprietary closed-source distribution
Facets
framework · maturity active
agent-framework machine-learning sdk developer-tools fintech artificial-intelligence large-language-models python cross-platform cli algorithmic-trading backtesting trading-bot quantitative-finance stocks options crypto futures forex brokers alpaca interactive-brokers llm-agents multi-agent technical-analysis sec-filings fred cryptocurrency ai-agents automation
6 sources
- readme: https://github.com/Lumiwealth/lumibot · fetched 2026-10-21 · 3717a68cfa6c
- homepage: https://lumibot.lumiwealth.com · fetched 2026-08-29 · e11f276c68bc
- site_page: https://lumibot.lumiwealth.com/agents_quickstart.html · fetched 2026-08-29 · 09b1ead57e24
- site_page: https://lumibot.lumiwealth.com/faq.html · fetched 2026-08-29 · 32a9024b9315
- site_page: https://lumibot.lumiwealth.com/botspot_mcp.html · fetched 2026-08-29 · 83ea592acb76
- site_page: https://lumibot.lumiwealth.com/cash_accounting.html · fetched 2026-08-29 · 7255c42fba44
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Lumiwealth/lumibot | main | 96 |
For agents
markdown · JSON · MCP: product_card(name="Lumiwealth/lumibot")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem