lumibot

Python framework for backtesting and running trading strategies written as Python rules or AI agents, across brokers.

IndexedGPL-3.0★ 2,161

Chalk Labs

Need help deploying lumibot?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

From the package registry. Read the repository before you give any tool access to your data.

pip install lumibot

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

About

LumiBot is a Python framework for trading strategies written as Strategy subclasses, which can use Python rules, AI agents or both. Strategy.backtest runs on historical data, and a configured broker can run the same strategy for paper or live trading, with twelve broker integrations listed in the README. The AI template needs an OPENAI_API_KEY and makes billed model calls, and paper trading needs Alpaca paper-account credentials.

Use cases: finance-accounting, agent-orchestration

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Fact sheet

Languages: PythonREADME
Packages: lumibot (pypi)README
Deploys to: managed cloudREADME
Model providers: openaiREADME
Maturity: Stablegithub.com

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Alternatives

Frameworks for the same language with a similar way of orchestrating agents.

Signals

Stars: 2,161
Forks: 414
Open issues: 70
Weekly downloads: 5,376
Last commit: Oct 24, 2026 (6 days ago)
Last release: Oct 24, 2026 (7 days ago)
Last package publish: Oct 24, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages: pypi lumibot
License: GPL-3.0
Repository: github.com/Lumiwealth/lumibot
Website: lumibot.lumiwealth.com
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

More from Lumiwealth

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped: 50+; launches shipped
media placements: 500+; media placements
founders on every account: 2; founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get lumibot running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Need help deploying lumibot?

Call Get help

Cite this page

lumibot. Agent Mart. https://agentmart.dev/harnesses/lumibot (last updated 2026-10-24)