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
holly_trades table.
Step 2: Auto-evaluation
When enabled, the auto-eval pipeline automatically evaluates new Holly alerts:- Pre-filter — skip if symbol was recently evaluated (dedup window)
- Feature extraction — gap %, RVOL, spread, float rotation, extension
- 3-model ensemble — Claude + GPT-4o + Gemini score 0–100
- Weighted average — ensemble score with disagreement penalty
- Signal generation — stored in signal feed with go/no-go verdict
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
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:| Segment | Win Rate | Avg R | Recommendation |
|---|---|---|---|
| Holly Grail | 52.3% | +0.025 | Prioritize |
| Holly Neo | 48.0% | −0.009 | Reduce or skip |
Key strategies
Top performing Holly strategies (from your autopsy data):- Tailwind — momentum continuation
- Pullback Long — dip buying in uptrend
- Breakdown Short — breakdown from consolidation
/holly/autopsy or MCP holly_exit_autopsy
Analytics tools
| Tool | Purpose |
|---|---|
holly_stats | Aggregate alert statistics |
holly_trade_stats | Historical trade metrics |
holly_exit_autopsy | Strategy leaderboard, giveback analysis |
holly_extract_rules | Reverse-engineer alert trigger conditions |
holly_backtest | Backtest extracted rules |
trailing_stop_optimize | Find optimal exit strategy per strategy |