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Holly AI Pipeline

Overview

Holly AI is Trade Ideas’ AI-powered alert system. EvalEngine ingests Holly alerts, scores them through the 3-model ensemble, and surfaces high-confidence signals.

Step 1: Import alerts

Manual CSV import

Export alerts from Trade Ideas as CSV, then:

File import

The importer parses Trade Ideas’ non-standard CSV format, computes derived metrics (hold time, MFE, MAE, giveback, R-multiple), and stores in the holly_trades table.

Step 2: Auto-evaluation

When enabled, the auto-eval pipeline automatically evaluates new Holly alerts:
Each alert goes through:
  1. Pre-filter — skip if symbol was recently evaluated (dedup window)
  2. Feature extraction — gap %, RVOL, spread, float rotation, extension
  3. 3-model ensemble — Claude + GPT-4o + Gemini score 0–100
  4. Weighted average — ensemble score with disagreement penalty
  5. Signal generation — stored in signal feed with go/no-go verdict
Check pipeline status: auto_eval_status

Step 3: Review signals

Navigate to /signals to see scored alerts:
  • Score — ensemble weighted average (0–100)
  • Direction — long or short
  • Should trade — go/no-go based on score threshold
  • Symbol — with current quote data
Or query via MCP: signal_feed with optional since, symbol, direction filters.

Step 4: Execute

For high-confidence signals, execute with full bracket protection:

Holly segments

Your data shows a clear edge difference between Holly segments:

Key strategies

Top performing Holly strategies (from your autopsy data):
  • Tailwind — momentum continuation
  • Pullback Long — dip buying in uptrend
  • Breakdown Short — breakdown from consolidation
Check strategy rankings: /holly/autopsy or MCP holly_exit_autopsy

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