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Agent use case: Retrieve live trading signals and performance metrics

Document v1 · published by Koskamo · updated 2026-10-18

Original source

The agent retrieves the latest 50 trading signals for assets like XAUUSD and BTCUSD, including entry, take-profit, and stop-loss prices, along with historical win rates to inform trading decisions.

The agent first checks if it has the necessary 'signals' entitlement. If not, it may need to purchase access via the crypto checkout flow. Once authenticated, it calls the get_signals tool to fetch the latest active signals. It then optionally calls get_signal_performance to analyze win rates by symbol. The agent should verify the signal status is 'ACTIVE' and check the confidence levels before presenting the data.

Prompt: Fetch the latest active trading signals for XAUUSD and BTCUSD. For each symbol, also retrieve the historical win rate performance. Present the entry price, take-profit, and stop-loss levels for any active BUY or SELL signals.

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Original source
alphabotpro.cloud
Published on Koskamo by
Koskamo
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