h_v3-mcp-backtest
CommunityStandardized AI-driven strategy backtesting and optimization.
Finance & Accounting#strategy optimization#performance analysis#trading#algorithmic trading#backtest
Authorokx-wallet-H
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the process of validating and optimizing trading strategies through automated backtesting, performance analysis, and parameter tuning.
Core Features & Use Cases
- Strategy Validation: Run comprehensive backtests on trading strategies using historical market data, enabling traders and developers to evaluate effectiveness.
- Parameter Optimization: Perform grid searches to identify the best parameter combinations for improved trading performance.
- Performance Comparison: Compare multiple assets or strategies to determine the most promising trading signals.
- Use Case: A quant analyst can optimize a multi-factor trading model by testing different RSI and Hurst thresholds and selecting the setup with the highest Sharpe ratio.
Quick Start
Provide the run_backtest tool with the target symbol and desired period to immediately evaluate a trading strategy's historical performance.
Dependency Matrix
Required Modules
numpypandasvectorbtpro
Components
scriptsreferences
💻 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: h_v3-mcp-backtest Download link: https://github.com/okx-wallet-H/h-wallet-skills/archive/main.zip#h-v3-mcp-backtest Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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