trading-strategies

What problem does it solve?

This Skill provides a structured framework to develop, test, and deploy trading strategies for prediction markets, enabling teams to experiment with signals, risk controls, and performance metrics without starting from scratch.

Core Features & Use Cases

• Base Strategy Class for easy extension and reuse across strategies
• Multiple Strategy Types: Arbitrage, Copy Trading, Momentum, Mean Reversion
• Backtesting Framework to simulate historical performance across markets
• Risk Management utilities to enforce position limits and drawdown constraints
• Backtester results and metrics to evaluate strategy quality
• Example use case: build a custom strategy to trade YES/NO markets based on dynamic signals

Quick Start

Create a new momentum strategy subclass by extending BaseStrategy, implement analyze and calculate_position_size, and run a backtest with sample MarketState data using the Backtester.