# jesse-ai/jesse

An advanced crypto trading bot written in Python

Repository: https://github.com/jesse-ai/jesse
Canonical: https://ross.abutalabs.com/products/jesse
Homepage: https://jesse.trade
Language: Python
License: MIT
License Family: permissive
Topics: cryptocurrency, trading-bot, trading-algorithms, trading, crypto, framework, algo-trading, algorithmic-trading, jesse, trading-strategies, python, bot, crypto-bot, bitcoin, trade, crypto-bot-trading, quantitative-finance, quantitative-trading
Last push: 2026-08-25T17:18:21+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2854, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8380, forks 1214 (observed 2026-08-28T04:10:20.660579+00:00)

## What it is
Jesse is an open-source Python framework for researching, backtesting, optimizing, and live-trading cryptocurrency trading strategies. It includes an accurate backtesting engine, a large indicator library (Rust-powered), a web dashboard with interactive charts, an MCP server for AI assistants, and an ML pipeline, all self-hosted.

## Use cases
- backtest a crypto trading strategy in python
- build an algorithmic trading bot for bitcoin
- optimize trading strategy parameters with optuna
- run monte carlo simulations on a trading strategy
- connect an AI assistant to backtest strategies via MCP
- paper trade and live trade crypto strategies
- train scikit-learn models on backtest data for trading

## When to choose
- you want to define crypto trading strategies in Python with simple syntax
- you need accurate backtesting without look-ahead bias across multiple timeframes and symbols
- you want a self-hosted, privacy-first trading framework
- you need built-in optimization, significance testing, and Monte Carlo analysis
- you want AI-assisted strategy research through an MCP server

## When to avoid
- you need DEX (decentralized exchange) support, which is not available
- you need many live trading routes or exchanges on the free tier, which are limited by licensing
- you trade non-crypto assets like stocks or forex, which are not the focus
- you want a fully managed cloud trading service rather than self-hosted software

## Facets
- artifact type: framework
- maturity: active
- function: trading, benchmarking, machine-learning, mcp, data-visualization, sdk
- domain: fintech, machine-learning
- platform: python, self-hosted, cross-platform, cli
- tags: crypto-trading, backtesting, algo-trading, live-trading, technical-indicators, strategy-optimization, monte-carlo-analysis, optuna, quantitative-trading, trading-bot, cryptocurrency, quantitative-finance, automation, docker, web-server

## Member repositories
- jesse-ai/jesse (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:20.660579+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:27:28.090338+00:00, confidence not recorded.
  - readme: https://github.com/jesse-ai/jesse (fetched 2026-08-28T04:10:20.660579+00:00, sha aa8f2673b8e2)
  - homepage: https://jesse.trade (fetched 2026-08-29T08:27:29.099392+00:00, sha 919dcb699027)
  - site_page: https://docs.jesse.trade/docs/mcp (fetched 2026-08-29T08:27:29.115455+00:00, sha bdc064842d80)
  - site_page: https://docs.jesse.trade (fetched 2026-08-29T08:27:29.108965+00:00, sha b4d38f9a23d8)
  - site_page: https://docs.jesse.trade/docs/getting-started (fetched 2026-08-29T08:27:29.113472+00:00, sha 6faf7f95e4bc)
  - site_page: https://jesse.trade/pricing (fetched 2026-08-29T08:27:29.111280+00:00, sha 774454ac6f34)
- Data as of 2026-08-30T08:39:29.467469+00:00.