Jesse

🔌 Jesse MCP

Connect Claude, Codex, Cursor, VS Code, Zed, or any MCP-compatible assistant directly to your local Jesse project. Let it work with strategies and candles, run backtests, optimize parameters, perform significance tests and Monte Carlo analysis, and link you to the saved dashboard results.

🧠 Machine Learning

Use Jesse's end-to-end ML pipeline to gather labelled training data from backtests, train and evaluate scikit-learn models for classification or regression, and deploy predictions directly inside your strategies.

🔬 Rule Significance Testing

Statistically validate your entry logic before building a complete strategy. Bootstrap resampling helps determine whether a rule's historical edge is genuine or could have appeared by chance.

🎲 Monte Carlo Analysis

Stress-test strategies with trade-order shuffling and candles-based simulations to distinguish skill from luck, understand the range of possible outcomes, and guard against overfitting.

🧪 Research API and Jupyter

Run candle workflows, backtests, optimization, significance tests, Monte Carlo analysis, indicators, and machine learning from Python scripts or Jupyter notebooks for reproducible and automated research.

📊 Interactive Trading Charts

Inspect candlesticks, strategy indicators, horizontal levels, orders, and completed trades in synchronized charts across backtest, paper, and live sessions — including saved chart history after a session ends.

🦀 Rust-Powered Indicators

Native Rust implementations make indicator-heavy strategies and large research runs substantially faster. Jesse's benchmarked indicator suite became 3.4× faster after the Rust migration.

📝 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

Search strategy parameters efficiently with Optuna and parallel processing powered by Ray, including separate training and testing periods to measure generalization.

📈 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.

🧹 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.

🤖 Reinforcement Learning — Coming Soon

First-class workflows for training, evaluating, and deploying reinforcement-learning agents are coming to Jesse's simulation and research stack.

JesseThe Advanced Algo-Trading Framework in Python