institutional-trader/PHASE1_IMPLEMENTATION_SUMMA...

6.4 KiB

Phase 1 Implementation Summary

Completed Features

1. Price Reaction Tracking

File: backend/python_service/services/price_reaction_tracker.py

What it does:

  • Tracks price movement 5, 15, and 30 minutes after a signal appears
  • Calculates price reaction percentages
  • Detects high/low breaks
  • Flags if flow led to actual price movement (filters hedges/rolls)

New Fields Added:

  • price_reaction_5m_pct - Price change 5 minutes after signal (%)
  • price_reaction_15m_pct - Price change 15 minutes after signal (%)
  • price_reaction_30m_pct - Price change 30 minutes after signal (%)
  • high_break_5m - Boolean: did price break high within 5m?
  • low_break_5m - Boolean: did price break low within 5m?
  • flow_led_to_move - Boolean: did flow lead to >0.5% price move?

Integration: Called in main.py after price enrichment


2. VWAP Integration

File: backend/python_service/services/price_context.py (extended)

What it does:

  • Calculates VWAP (Volume Weighted Average Price) for each trading day
  • VWAP = SUM(price * volume) / SUM(volume) from RTH open (9:30 AM) to signal time
  • Calculates distance from VWAP for entry/exit logic

New Fields Added:

  • vwap_at_signal - VWAP value at signal time
  • price_vs_vwap_pct - Percentage distance from VWAP

Integration: Integrated into enrich_flow_with_prices() method

Usage:

  • Entry: VWAP pullback or VWAP reclaim
  • Exit: Price rejection of VWAP
  • Filter: Price too extended from VWAP (>2%) = wait for pullback

3. Signal Tier Classification

File: backend/python_service/services/signal_tier_classifier.py

What it does:

  • Classifies signals into Tier-1, Tier-2, or Ignore
  • Tier-1: 🟢/🔴 + 💎 + + premium > 500K + direction aligned (tradeable alone)
  • Tier-2: 🟢 + 💎 (no ) OR without 💎 (needs confirmation)
  • Ignore: OTM-only, mixed signals, low volume/OI ratio

New Fields Added:

  • signal_tier - 'TIER_1', 'TIER_2', or 'IGNORE'
  • is_tradeable - Boolean: True for Tier-1 only

Integration: Called in main.py after rocket score calculation

Filtering Logic:

  • OTM-only prints → Ignore
  • Mixed 🟢/🔴 with no net premium edge → Ignore
  • Big premium but volume << OI (likely rolls/hedges) → Ignore

4. Trade Checklist

File: backend/python_service/services/trade_checklist.py

What it does:

  • Evaluates signals against 5-point checklist
  • Requires 4/5 checks to pass
  • Prevents bad trades

Checklist Items:

  1. Has direction (🟢 or 🔴)
  2. Has diamond (💎)
  3. Has star ()
  4. Price respects VWAP (within ±2%, or ±1% for direction)
  5. Index confirms (placeholder - will be added in Phase 2)

New Fields Added:

  • checklist_score - Score out of 5 (0-5)
  • checklist_passed - Boolean: True if score >= 4
  • checklist_details - Dict with individual check results

Integration: Called in main.py after price reaction tracking

Usage:

  • Only trade signals with checklist_passed = True
  • Review checklist_details to see which checks passed/failed

📊 Data Flow

Raw Options Flow
    ↓
OptionsFlowProcessor.process()
    ↓
PriceContextService.enrich_flow_with_prices()  [VWAP added here]
    ↓
AlertService.match_alerts_to_flows()
    ↓
OptionsFlowProcessor.process_rocket_score()
    ↓
SignalTierClassifier.classify_tiers()  [NEW]
    ↓
PriceReactionTracker.enrich_with_reactions()  [NEW]
    ↓
TradeChecklist.evaluate_all()  [NEW]
    ↓
OutputFormatter.format_final_output()
    ↓
API Response

🔍 New API Response Fields

All new fields are automatically included in the API response. Key fields to use:

For Filtering:

  • signal_tier - Filter to 'TIER_1' for best signals
  • is_tradeable - Boolean flag for tradeable signals
  • checklist_passed - Boolean flag for checklist-passed signals
  • flow_led_to_move - Boolean flag for signals that moved price

For Entry/Exit:

  • vwap_at_signal - VWAP value for entry logic
  • price_vs_vwap_pct - Distance from VWAP
  • price_reaction_5m_pct - Price reaction after signal

For Analysis:

  • checklist_score - Checklist score (0-5)
  • checklist_details - Detailed check results (JSON)

🎯 Usage Examples

Filter to Tier-1 Signals Only:

# In your frontend or API consumer:
filtered = [row for row in data if row.get('signal_tier') == 'TIER_1']

Filter to Checklist-Passed Signals:

filtered = [row for row in data if row.get('checklist_passed') == True]

Filter to Signals That Led to Price Moves:

filtered = [row for row in data if row.get('flow_led_to_move') == True]

Combined Filter (Best Signals):

best_signals = [
    row for row in data 
    if row.get('signal_tier') == 'TIER_1' 
    and row.get('checklist_passed') == True
    and row.get('flow_led_to_move') == True
]

🚀 Next Steps

Immediate:

  1. Test the API endpoint to see new fields in response
  2. Update frontend to display new fields
  3. Add filters for Tier-1 and checklist-passed signals

Phase 2 (Next):

  • Strike clustering detection
  • Delta weighting
  • Index correlation (SPY/QQQ/VIX)

📝 Notes

  • All new services follow existing code patterns
  • No breaking changes to existing functionality
  • New fields are optional (won't break if missing)
  • Price reaction tracking may be slower for large datasets (batched queries)
  • VWAP calculation only works during RTH (9:30 AM - 4:00 PM)

🐛 Known Limitations

  1. Price Reaction Tracking:

    • Only tracks if price data exists at 5m/15m/30m intervals
    • May be None for signals near market close
    • Uses 0.5% threshold for "flow led to move" (configurable)
  2. VWAP Calculation:

    • Only calculated during RTH (9:30 AM - 4:00 PM)
    • Returns None for PRE/POST market signals
    • Requires 1-minute bar data
  3. Index Correlation:

    • Currently returns False (placeholder)
    • Will be implemented in Phase 2
  4. Checklist:

    • Index confirmation check always fails (Phase 2)
    • VWAP check may fail if VWAP not available (PRE/POST market)

Testing Checklist

  • API returns new fields in response
  • Tier classification works correctly
  • Price reaction tracking populates correctly
  • VWAP calculation works during RTH
  • Checklist evaluation works correctly
  • No errors in logs
  • Performance is acceptable

Implementation Date: Phase 1 Complete Status: Ready for Testing