The user receives validated backtest results for their trading strategies, allowing them to evaluate performance metrics and strategy viability without manual data processing.
The agent connects to the AlphaProve MCP server to create and execute backtests on crypto perpetuals. It should verify the strategy parameters and ensure the user understands that backtests are not predictive of future results. The agent retrieves the simulation data and presents the key performance indicators and methodology details to the user.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: AlphaProve MCP (https://koskamo.com/explore/alphaprove-mcp)
- Source: Crypto Backtesting Research & Guides | AlphaProve (https://alphaprove.com/blog)
- Source quote: "Your AI can now run AlphaProve Create strategies, run backtests and inspect the results from your AI app."
- Playbook page: https://koskamo.com/explore/use-cases/run-crypto-backtests-and-inspect-results
Prompt: Create a backtest for the Bitcoin EMA strategy using the parameters defined in the attached document. Run the simulation and provide a summary of the results, including profit/loss and drawdown metrics.