AI Agent Skills

A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.

Backtest manager in VSCode Extension

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "be…

Execute deterministic, reproducible historical backtests from a start date, end date, and strategy concept using the Alpaca CLI plus agent-written workspace code. Use wh…

Event-driven backtesting with realistic order execution, position tracking, and performance measurement. Use when simulating a trading strategy on historical data.

Backtest and live trading in Python

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automat…

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.

Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid

LLM-powered trading agents that turn plain natural language into a five-pillar strategy: Trend, Mean-Reversion, Momentum, Volume, and Risk. Each strategy is hosted, self…

Deterministic PineScript v6 backtest runtime. Validated trade-for-trade against TradingView.

Fast quantitative research and backtesting workflows for financial agents.

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities