Jesse

📝 Simple Syntax

Define both simple and advanced trading strategies with the simplest syntax in the fastest time.

📊 Comprehensive Indicator Library

Access a complete library of technical indicators with easy-to-use syntax.

📈 Smart Ordering

Supports market, limit, and stop orders, automatically choosing the best one for you.

⏰ Multiple Timeframes and Symbols

Backtest and livetrade multiple timeframes and symbols simultaneously without look-ahead bias.

🔒 Self-Hosted and Privacy-First

Jesse is designed with your privacy in mind, fully self-hosted to ensure your trading strategies and data remain secure.

🛡️ Risk Management

Built-in helper functions for robust risk management.

📋 Metrics System

A comprehensive metrics system to evaluate your trading strategy's performance.

🔍 Debug Mode

Observe your strategy in action with a detailed debug mode.

🔧 Optimize Mode

Fine-tune your strategies using AI, without needing a technical background.

📈 Leveraged and Short-Selling

First-class support for leveraged trading and short-selling.

🔀 Partial Fills

Supports entering and exiting positions in multiple orders, allowing for greater flexibility.

🔔 Advanced Alerts

Create real-time alerts within your strategies for effective monitoring.

📉 Auto-Generated Charts

View your portfolio's performance with automatically generated charts.

🧹 Data Cleaning

Automatic handling of importing candles and cleaning data.

📈 First-Class Support for Trading Futures and Spot

Jesse Offers specialized support for both futures and spot markets.

🔐 Support for Decentralized Exchanges (DEX)

Jesse's support for DEX ensures you can maintain full custody of your assets while trading.

🔬 Rule Significance Testing

Statistically validate your entry logic before backtesting. Uses bootstrap resampling to determine whether a rule's historical returns could have appeared by chance — giving you a principled, fast pre-backtest filter.

🎲 Monte Carlo Analysis

Stress-test your strategies with trade-order shuffling and candles-based simulations to distinguish skill from luck and guard against overfitting.

🧠 Machine Learning

Built-in end-to-end ML pipeline — gather labelled training data from backtests, train scikit-learn models (binary, multiclass, or regression), and deploy predictions directly inside your strategies.

🔌 Jesse MCP

Pair Jesse with an AI-friendly editor (Cursor, VS Code, or any tool that supports MCP) and your assistant can help with strategies, backtests, candle data, and settings using the same live context you see in Jesse—everything stays on your machine, and you choose when to turn the connection on.

JesseThe Advanced Algo-Trading Framework in Python