Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install backtesting-trading-strategiesOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install backtesting-trading-strategiesβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/backtesting-trading-strategies/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Backtesting Trading Strategies can do for your AI workflow
Backtest crypto directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,441+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Backtesting Trading Strategies
Help me get started with Backtesting Trading Strategies
Explains what Backtesting Trading Strategies does, walks through the setup, and runs a quick demo based on your current project
Use Backtesting Trading Strategies to backtest crypto and traditional trading strategies against historic...
Invokes Backtesting Trading Strategies with the right parameters and returns the result directly in the conversation
What can I do with Backtesting Trading Strategies in my finance & investment workflow?
Lists the top use cases for Backtesting Trading Strategies, with example commands for each scenario
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Backtesting Trading Strategies extends your AI assistant with the ability to backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Backtesting Trading Strategies as its underlying capability.
Backtesting Trading Strategies works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Backtesting Trading Strategies once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Backtesting Trading Strategies, copy the skill folder to `~/.claude/skills/backtesting-trading-strategies/` for use across all your projects, or `.claude/skills/backtesting-trading-strategies/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/backtesting-trading-strategies` or just describe your goal and the AI will pick it up automatically.
Backtesting Trading Strategies has been installed 1,441 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/backtesting-trading-strategies/ for personal use (all projects), or .claude/skills/backtesting-trading-strategies/ for project-specific use. Restart your AI client, then invoke with /backtesting-trading-strategies or let the AI discover it automatically.
Backtesting Trading Strategies supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Backtesting Trading Strategies is free to install. Check the repository for licensing information.
Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity...
Trading Coach
π AI Trading Review Coach β Turn your brokerage CSV into actionable insights for improvement! Automatic FIFO matching positions, 8-dimensional quality score (entry/exit/trend/risk...), 10-dimensional AI insight. Supports mainstream brokerages such as Futu (Chinese/English), Tiger, CITIC, and Huatai. Trigger conditions: Users provide transaction CSV, request analysis of transaction performance, evaluate transaction quality, generate review report, Calculate profit and loss statistics, identify trading pattern problems, "Help me review the transaction", "Analyze my transaction".
Trading
Trading analysis and education. Technical analysis, chart patterns, risk management, and position sizing for stocks, forex, and crypto.
Trading Research
Automate my finance & investment tasks using Backtesting Trading Strategies
Identifies repetitive steps in your workflow and sets up Backtesting Trading Strategies to handle them automatically
Backtesting Trading Strategies is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
Binance cryptocurrency trading research, technical analysis, and position management. Triggers on requests for crypto prices, market data, trading analysis, DCA planning, position sizing, whale activity, or any trading research questions about Bitcoin, altcoins, or crypto markets.