test-trading-strategies

Official

Backtest trading strategies quickly and cheaply.

Authorrobonet-tech
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the rigorous backtesting of trading strategies to validate viability before live deployment, reducing the risk of costly mistakes.

Core Features & Use Cases

  • Crypto backtesting: evaluate strategies on historical crypto data across multiple symbols and timeframes.
  • Prediction market backtesting: test Polymarket-style strategies against historical market outcomes.
  • Result interpretation: obtain metrics such as Sharpe ratio, max drawdown, win rate, profit factor, and trade statistics to compare versions.

Quick Start

  • Load tools: Use MCPSearch to select: mcp__workbench__run_backtest, mcp__workbench__get_latest_backtest_results
  • Basic example: run_backtest( strategy_name="NewStrategy", start_date="2024-06-01", end_date="2024-12-31", symbol="BTC-USDT", timeframe="1h", config={"fee": 0.0005, "slippage": 0.0005, "leverage": 1} )
  • You can also run a Polymarket backtest: run_prediction_market_backtest( strategy_name="PolymarketStrategy", start_date="2024-06-01", end_date="2024-12-31", condition_id="12345", asset="BTC", interval="1h" )

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: test-trading-strategies
Download link: https://github.com/robonet-tech/skills/archive/main.zip#test-trading-strategies

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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