The agent retrieves historical trade data, win rates, and R-multiples, or simulates strategy performance under specific rules to evaluate effectiveness.
The agent uses the 'Your own track record' tool to fetch closed trades across crypto, MT5, and paper accounts, analyzing win rate and average R-multiple. Alternatively, it uses the 'Channel replay' tool to simulate how a specific signal channel would have performed over a set period (e.g., 30 days) under current risk rules, reporting PnL, drawdown, and rejected signals.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: AlgoVesta MCP (https://koskamo.com/explore/algovesta-mcp)
- Source: MCP Trading Explained: Claude & ChatGPT on 16 Exchanges (https://algovesta.com/blog/mcp-trading-server-explained.html)
- Source quote: "Your own track record — closed trades across crypto, MetaTrader 5 and paper in one call, with win rate and average R-multiple... Channel replay — ask “what if I’d followed this signal channel for 30 days under these rules?” and get a paper-simulated result"
- Playbook page: https://koskamo.com/explore/use-cases/analyze-trading-strategy-performance
Prompt: Retrieve my closed trades across all accounts and calculate the win rate and average R-multiple. Also, simulate what would have happened if I followed the 'BTC_HODL' signal channel for the last 30 days under my current risk policy.