jesse-ai/jesse
An advanced crypto trading bot written in Python observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2854
- days_rel: n/a
- days_push: 8
- n_releases_24m: 0
Adoption not part of the score
8380 stars · 1214 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
framework · maturity active
trading benchmarking machine-learning mcp data-visualization sdk fintech machine-learning python self-hosted cross-platform cli 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
6 sources
- readme: https://github.com/jesse-ai/jesse · fetched 2026-08-28 · aa8f2673b8e2
- homepage: https://jesse.trade · fetched 2026-08-29 · 919dcb699027
- site_page: https://docs.jesse.trade/docs/mcp · fetched 2026-08-29 · bdc064842d80
- site_page: https://docs.jesse.trade · fetched 2026-08-29 · b4d38f9a23d8
- site_page: https://docs.jesse.trade/docs/getting-started · fetched 2026-08-29 · 6faf7f95e4bc
- site_page: https://jesse.trade/pricing · fetched 2026-08-29 · 774454ac6f34
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jesse-ai/jesse | main | 77 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem