12 KiB
Trade Signal & Strategy Enhancement Features
This document describes the comprehensive enhancements made to the institutional trading system, transforming badge combinations into actionable trade signals and adding advanced pattern detection capabilities.
Overview
The system has been enhanced with three major tiers of improvements:
TIER 1 (Completed) ✅
- Trade Signal Generation from Badge Combinations
- Flow Decay Detection
- Signal Convergence Detection
TIER 2 (Completed) ✅
- Playbook Generator (Pattern Detection)
- Trade Plan Generator
- Strategy Backtester
1. Trade Signal Generation (Script 1 - Options Flow)
Features Added
A. Badge Combinations → Trade Signals
The system now automatically converts badge patterns into actionable trade signals:
Pattern 1: Institutional FOMO (BUY)
- Criteria: 🟢 + 💎 + ⭐ + 💰 + ⚡
- Signal: BUY
- Entry: Next VWAP pullback (wait for retest)
- Stop: -1.5% or below opening range low
- Target: Next gamma strike or +3%
Pattern 2: Institutional Distribution (SHORT)
- Criteria: 🔴 + 💎 + ⭐ + 💰
- Signal: SHORT
- Entry: Next rally into VWAP or resistance
- Stop: +1.5% or above opening range high
- Target: Prior day low or -3%
Pattern 3: Trap Warning (WAIT)
- Criteria: 🟢 but TapeAlign = blank
- Signal: WAIT
- Action: Flow bullish but price NOT confirming = potential reversal
Pattern 4: Slow Accumulation (BUY)
- Criteria: 🟢 + 💎 but NO ⚡
- Signal: BUY (Swing Trade)
- Action: Build position over 2-3 days (swing trade, not scalp)
B. Flow Decay Detection
Tracks when institutional flow stops and flags potential retail FOMO or distribution phases:
- Last Flow Timestamp: Tracks when last flow occurred per ticker
- Decay Thresholds:
- 30+ minutes = CAUTION
- 60+ minutes = STRONG_DECAY
- Signals:
- Flow stopped + Price rising = FADE (retail chasing)
- Flow stopped + Price dropping = AVOID (no one stepping in)
Example Output:
AAPL | 🚀🚀 | Last Flow: 45min ago | Price: Still rising | Signal: FADE (retail chasing)
TSLA | 🚀🚀🚀 | Last Flow: 5min ago | Price: Rising | Signal: ACTIVE (institutions still buying)
C. Flow Reversal Detection
Detects when net premium direction flips (institutions switching sides):
- Trajectory Tracking: Monitors net premium over 30-minute windows
- Reversal Alerts: Flags when flow flips from BULL to BEAR (or vice versa)
- Auto-Alert: "⚠️ FLOW REVERSAL: XYZ flipped from BULL to BEAR at 10 AM"
API Endpoints
GET /api/options/flow
- Now includes:
tradeSignal: Complete trade signal objecttradeSignalDisplay: Formatted display stringflowDecay: Flow decay analysisflowReversal: Flow reversal detectionmetadata: Summary of decay and reversals
Example Response:
{
"success": true,
"data": [
{
"Symbol": "AAPL",
"tradeSignal": {
"signal": "BUY",
"type": "INSTITUTIONAL_FOMO",
"confidence": 85,
"entry": {
"primary": "Wait for pullback to $175.20 (VWAP retest)",
"aggressive": "Market order if breaks $176.50 (opening range high)"
},
"stop": {
"tight": "$174.00 (-0.8% risk)",
"wide": "$172.50 (-1.5% risk or below opening range low)"
},
"target": {
"t1": "$178.50 (+1.5%, take 50%)",
"t2": "$180.00 (+2.3%, take 30%)",
"t3": "$182.00 (+3.4%, runner 20%)"
}
},
"flowDecay": {
"display": "🟢 ACTIVE | Last Flow: 5min ago",
"status": "ACTIVE"
}
}
]
}
2. Multi-Signal Scanner Enhancements (Script 4)
Features Added
A. Signal Convergence Detection
Flags tickers where 3+ signals fire within 10 minutes:
- Label: "🔥 CONVERGENCE EVENT"
- Reasoning: "Dark pool + Options + Breakout = Institutional momentum ignition"
Example:
NVDA at 10:15 AM:
- Dark/Block Cluster (3 pts)
- Options + Prints (3 pts)
- 52W High + $Vol (2 pts)
Total Score: 8 → CONVERGENCE EVENT
B. Stealth vs Aggressive Classification
Classifies trade horizon based on signal characteristics:
- SCALP: ORB + Shock Tape + high rVol = minutes to hours
- INTRADAY: Options + Prints + RTH session = 2-4 hours
- SWING: Stealth Dark + low rVol = 1-5 days
Example Output:
AAPL | Score: 7 | Convergence: Yes | Horizon: INTRADAY | Reason: Options + Block prints
TSLA | Score: 6 | Convergence: No | Horizon: SWING | Reason: Stealth dark accumulation
C. False Signal Filtering
Filters out retail noise and spoofed liquidity:
-
Dumb Money Trap Detection
- Options flow appears BUT it's all OTM lotto tickets (>20% OTM)
- Volume spike BUT it's all retail platforms (9:30-10 AM)
- Action: Flag as "⚠️ Retail Noise - Fade This"
-
Spoofed Liquidity Detection
- Dark pool prints appear BUT price doesn't move
- Block prints appear BUT immediately followed by opposite side
- Action: Flag as "🚫 Fake Flow - Ignore"
-
End-of-Day Noise Detection
- Signals fire in last 30min (3:30-4 PM)
- Often MOC rebalancing, not directional
- Action: Flag as "⏰ MOC Noise - Wait for Tomorrow"
API Endpoints
GET /api/scanner/multi-signal
- Now includes:
convergence: Convergence detection resultstradeHorizon: SCALP/INTRADAY/SWING classificationfalseSignalFilter: Filtering results with warnings
3. Trade Plan Generator
Features
Auto-generates comprehensive trade plans for every high-score signal:
Components:
- Entry Strategy (Primary + Aggressive)
- Stop Loss (Tight + Wide)
- Profit Targets (T1, T2, T3 with scaling)
- Time Horizon (Expected + Max Hold)
- Reasoning (Why this setup works)
- Invalidation Conditions (When to exit)
- Historical Win Rate (Similar setups performance)
Example Output:
{
"symbol": "AAPL",
"signal": "BUY",
"confidence": "85%",
"score": 8.5,
"entryStrategy": {
"primary": "Wait for pullback to $175.20 (VWAP retest)",
"aggressive": "Market order if breaks $176.50 (opening range high)"
},
"stopLoss": {
"tight": "$174.00 (-0.8% risk)",
"wide": "$172.50 (-1.5% risk or below opening range low)"
},
"profitTargets": {
"t1": "$178.50 (+1.5%, take 50%)",
"t2": "$180.00 (+2.3%, take 30%)",
"t3": "$182.00 (+3.4%, runner 20%)"
},
"timeHorizon": {
"expected": "2-4 hours",
"maxHold": "EOD (cut if no move)"
},
"reasoning": "Badge: 🟢 | Badges: 💎⭐💰 | Tape alignment: ↗︎ | Options flow: $5M net bullish",
"invalidation": [
"If breaks below $172.50, INSTITUTIONS WRONG → Exit immediately",
"If no follow-through in 30min → Exit breakeven",
"If new bearish flow appears → Reverse bias"
]
}
API Endpoints
POST /api/trade-plans/generate
- Request body:
{ "signalData": { /* options flow or scanner result */ }, "priceData": { /* optional - will fetch if not provided */ }, "options": { "includeHistoricalWinRate": true, "lookbackDays": 60 } }
4. Playbook Generator (Daily Post-Mortem)
Features
Auto-detects repeatable patterns from historical data:
Pattern 1: FDA Approval Squeeze
- Criteria:
- news_fda = 1
- first_cross_session = PRE
- opt_notional_bull > 2x bear
- max_abs_pct_rth > max_abs_pct_pre
- Historical Win Rate: Calculated from last 90 days
- Trade Setup: Enter at RTH open IF gap holds
Pattern 2: Earnings Beat Fade
- Criteria:
- news_earnings = 1
- first_cross_session = POST
- max_abs_pct_post > max_abs_pct_rth
- opt_notional_bear > bull
- Historical Win Rate: Calculated from last 90 days
- Trade Setup: Enter SHORT if gap opens but fades below VWAP
Pattern 3: Options Flow Pre-Positioning
- Detects exponential growth in options flow 1-3 days before events
- Signal: "⚠️ XYZ options flow surging 3 days before earnings → Bullish setup"
API Endpoints
GET /api/analysis/playbooks
- Query params:
lookbackDays(default: 90)minOccurrences(default: 5)minWinRate(default: 0.60)
- Returns: Top 10 patterns sorted by win rate and expectancy
5. Strategy Backtester
Features
Validates signals with historical win rates:
Capabilities:
- Queries historical matches for pattern criteria
- Calculates outcomes (WIN/LOSS) based on price movement
- Aggregates statistics:
- Win Rate
- Average Win %
- Average Loss %
- Expectancy
- Risk:Reward Ratio
- Identifies best/worst setup conditions
Example Output:
PATTERN: 🚀🚀🚀 + Tape Alignment + RTH
Historical Performance (Last 90 Days):
- Total Occurrences: 127
- Wins: 89 (70.1%)
- Losses: 38 (29.9%)
- Avg Win: +2.7%
- Avg Loss: -1.3%
- Expectancy: +1.5% per trade
- Best Setup: When premium > $1M (79% win rate)
- Worst Setup: When first 30min after open (58% win rate)
API Endpoints
POST /api/analysis/backtest
- Request body:
{ "pattern": { "name": "Rocket + Tape Alignment", "minRocketScore": 5.0, "requireTapeAlignment": true, "session": "RTH", "minMove": 1.0 }, "options": { "lookbackDays": 90, "minOccurrences": 10 } }
POST /api/analysis/backtest-multiple
- Backtests multiple patterns and returns top 10 strategies
Implementation Files
New Services
backend/src/services/tradeSignalGenerator.js- Trade signal generationbackend/src/services/flowDecayDetector.js- Flow decay detectionbackend/src/services/flowReversalDetector.js- Flow reversal detectionbackend/src/services/scannerEnhancer.js- Scanner enhancementsbackend/src/services/tradePlanGenerator.js- Trade plan generationbackend/src/services/playbookGenerator.js- Playbook generationbackend/src/services/strategyBacktester.js- Strategy backtesting
Updated Routes
backend/src/routes/optionsFlow.js- Added trade signals, flow decay, flow reversalbackend/src/routes/scanner.js- Added convergence, horizon, false signal filteringbackend/src/routes/dailyAnalysis.js- Added playbooks and backtesting endpointsbackend/src/routes/tradePlans.js- New route for trade plan generationbackend/src/server.js- Added trade plans route
Usage Examples
1. Get Options Flow with Trade Signals
GET /api/options/flow?startDate=2024-01-01&endDate=2024-01-31
2. Get Enhanced Scanner Results
GET /api/scanner/multi-signal
3. Generate Trade Plan
POST /api/trade-plans/generate
{
"signalData": {
"Symbol": "AAPL",
"badges": { "round": "🟢", "more": "💎⭐💰", "flash": "⚡" },
"rocketScore": 8.5,
"tapeAligned": true
}
}
4. Get Playbooks
GET /api/analysis/playbooks?lookbackDays=90&minWinRate=0.65
5. Backtest Strategy
POST /api/analysis/backtest
{
"pattern": {
"name": "Institutional FOMO",
"minRocketScore": 5.0,
"requireTapeAlignment": true,
"session": "RTH"
}
}
Next Steps
- Frontend Integration: Update frontend components to display new trade signals and plans
- Real-time Alerts: Add WebSocket notifications for flow reversals and convergence events
- Advanced Pattern Matching: Expand playbook generator with more pattern types
- Machine Learning: Use historical data to improve confidence scoring
- Performance Monitoring: Track actual trade outcomes vs predicted signals
Notes
- All new features are backward compatible with existing API responses
- Historical win rate calculations require sufficient data (minimum 10-20 occurrences)
- Flow decay and reversal detection work best with real-time data updates
- Trade plan generation requires current price data (fetched automatically if not provided)