institutional-trader/README/TRADE_SIGNAL_FEATURES.md

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# 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 object
- `tradeSignalDisplay`: Formatted display string
- `flowDecay`: Flow decay analysis
- `flowReversal`: Flow reversal detection
- `metadata`: Summary of decay and reversals
**Example Response:**
```json
{
"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:
1. **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"
2. **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"
3. **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 results
- `tradeHorizon`: SCALP/INTRADAY/SWING classification
- `falseSignalFilter`: 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:**
```json
{
"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:
```json
{
"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:
```json
{
"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 generation
- `backend/src/services/flowDecayDetector.js` - Flow decay detection
- `backend/src/services/flowReversalDetector.js` - Flow reversal detection
- `backend/src/services/scannerEnhancer.js` - Scanner enhancements
- `backend/src/services/tradePlanGenerator.js` - Trade plan generation
- `backend/src/services/playbookGenerator.js` - Playbook generation
- `backend/src/services/strategyBacktester.js` - Strategy backtesting
### Updated Routes
- `backend/src/routes/optionsFlow.js` - Added trade signals, flow decay, flow reversal
- `backend/src/routes/scanner.js` - Added convergence, horizon, false signal filtering
- `backend/src/routes/dailyAnalysis.js` - Added playbooks and backtesting endpoints
- `backend/src/routes/tradePlans.js` - New route for trade plan generation
- `backend/src/server.js` - Added trade plans route
---
## Usage Examples
### 1. Get Options Flow with Trade Signals
```bash
GET /api/options/flow?startDate=2024-01-01&endDate=2024-01-31
```
### 2. Get Enhanced Scanner Results
```bash
GET /api/scanner/multi-signal
```
### 3. Generate Trade Plan
```bash
POST /api/trade-plans/generate
{
"signalData": {
"Symbol": "AAPL",
"badges": { "round": "🟢", "more": "💎⭐💰", "flash": "⚡" },
"rocketScore": 8.5,
"tapeAligned": true
}
}
```
### 4. Get Playbooks
```bash
GET /api/analysis/playbooks?lookbackDays=90&minWinRate=0.65
```
### 5. Backtest Strategy
```bash
POST /api/analysis/backtest
{
"pattern": {
"name": "Institutional FOMO",
"minRocketScore": 5.0,
"requireTapeAlignment": true,
"session": "RTH"
}
}
```
---
## Next Steps
1. **Frontend Integration**: Update frontend components to display new trade signals and plans
2. **Real-time Alerts**: Add WebSocket notifications for flow reversals and convergence events
3. **Advanced Pattern Matching**: Expand playbook generator with more pattern types
4. **Machine Learning**: Use historical data to improve confidence scoring
5. **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)