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Use these prompts after Centaur MCP is connected. They are written to encourage evidence-backed reads instead of unsupported prediction or ranking claims.

Daily Feed Intelligence

Use Centaur list_feed to show the latest curated source-message groups. For each group, name the trader, quote the source text briefly, and list its events with asset, direction, and event type.
Use Centaur to summarize the dominant market themes from Generated Aggregate Narrative Summaries over the last 24 hours. Use explicit UTC bounds and say if the result is partial.
Use Centaur to find recent trade events from the last 24 hours, skipping assumed or auto-generated system events. Summarize the most notable source-backed trades.
Use Centaur to show the last 10 trader-sourced events from the visible universe. Include trader, asset, direction, event type, and source-message IDs when available.

Current Positioning

Use Centaur open-position reads to summarize current open-position skew across major assets. Use counts and percentages where available.
Use Centaur to resolve BTC, then list current open positions on BTC with trader names, direction, entry price, and current return when available.
Use Centaur to rank the most active traders of the last 7 days with rank_traders. Include event and position counts and direction bias.
Use Centaur to rank traders by 7D win rate over positions opened in the last 30 days with rank_traders. Qualify thin samples using the returned positions count.
Use Centaur to show daily message and event volume for the last 7 days with summarize_message_activity, grouped by trader. Name the most active traders.

Trader Performance

Use Centaur to resolve candidate traders, then compare their 7D time-based performance over positions opened in the last 30 days.
Use Centaur to list traders with strong win rate in a defined sample. State the sample bounds, performance window, and any missing IDs or partial pages.
Use Centaur to compare a trader’s 1D, 7D, and 30D time-based performance. Explain unavailable windows by status.

Asset Deep Dive

Use Centaur to resolve BTC, then analyze visible BTC activity: current open-position skew, recent source-backed events, and top trader IDs from asset stats.
Use Centaur to compare current positioning on ETH with generated aggregate summary narratives from the same UTC day. Keep positioning and narrative claims separate.

Trader Profile

Use Centaur to resolve Crypto Capo, then summarize their visible profile: asset focus, direction bias, time-based performance, current open positions, and recent source messages.
Use Centaur to hydrate the source message for this event ID path: first inspect the event, then use positionId for performance and messageId for source context.

Strategy Research

Use Centaur to find assets with visible open-position skew in one direction, then identify which traders are currently positioned there. Do not treat this as a prediction.
Use Centaur to find open positions whose current return is between 5% and 10%. Qualify the answer as current open-position state, not completed trade performance.
Use Centaur to compare assets where multiple visible traders are currently positioned in the same direction. Include counts and note if pagination means the result is partial.

Tips

  • Start with list_traders or list_assets when you do not know IDs.
  • Use list_feed for presentation-ready source-message groups with curated events instead of joining separate event and message reads.
  • Use open positions for current positioning.
  • Use stats and position history for performance.
  • Use generated summaries for narratives, themes, drivers, and risks.
  • Use rank_traders for trader rankings and summarize_message_activity for count and trend questions instead of paging raw events or messages.
Last modified on August 6, 2026