Create and backtest crypto trading strategies
A validated trading strategy with historical backtest results, including assumptions, trades, drawdown, and limitations, along with a result link for further review.
How it works
The agent first checks the user's account limits and available market data to ensure resources are sufficient. It then asks the user for a specific trading idea. Using the AlphaProve strategy SDK and authoring rules, the agent creates a strategy definition, validates it against the rules, and runs a historical backtest. Finally, it explains the results, highlighting key metrics like drawdown and trade details, and provides the AlphaProve result link.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Check my account limits and available market data. Ask me for the trading idea I want to test, then help me create and validate a strategy, run a historical backtest, and explain its assumptions, trades, drawdown and limitations. Include the AlphaProve result link.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Create strategies, run backtests and review results in the AI app you already use.AlphaProve for AI | Connect with MCP