docs: Add Smart Entry Timing deployment status document
- Comprehensive deployment status and monitoring guide - Expected log sequences for all scenarios - Database tracking queries and financial projections - Troubleshooting guide and validation checklist - Ready for first signal arrival Feature is ACTIVE and will initialize on first trade signal.
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SMART_ENTRY_DEPLOYMENT_STATUS.md
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SMART_ENTRY_DEPLOYMENT_STATUS.md
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# Smart Entry Timing - Deployment Status
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**Status:** ✅ **DEPLOYED AND ACTIVE IN PRODUCTION**
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**Deployment Date:** November 27, 2025
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---
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## Current State
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### Feature Configuration
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- **SMART_ENTRY_ENABLED:** `true` (ACTIVE)
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- **MAX_WAIT_MS:** 120000 (2 minutes)
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- **PULLBACK_MIN:** 0.15% (minimum favorable move)
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- **PULLBACK_MAX:** 0.50% (maximum before reversal risk)
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- **ADX_TOLERANCE:** 2 points (trend strength validation)
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### Container Status
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- **Container:** `trading-bot-v4` running successfully
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- **Build completed:** 74 seconds (all dependencies fresh)
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- **Configuration loaded:** Verified in `/app/.env`
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- **Lazy initialization:** Will activate on first signal arrival
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### Expected Behavior
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**When signal arrives:**
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1. Execute endpoint checks if Smart Entry is enabled (✅ true)
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2. Gets current price and compares to signal price
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3. **If already at favorable pullback (0.15-0.5%):**
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- Executes trade immediately
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- Logs: `✅ Smart Entry: Already at favorable level`
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4. **If not at favorable pullback yet:**
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- Queues signal for monitoring
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- Logs: `⏳ Smart Entry: Queuing signal for optimal entry timing`
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- Returns HTTP 200 to n8n (workflow continues)
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- Monitors every 15 seconds for up to 2 minutes
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**First signal will show initialization:**
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```
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💡 Smart Entry Timer initialized: {
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enabled: true,
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maxWait: '120s',
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pullback: '0.15-0.5%',
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adxTolerance: '2 points'
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}
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```
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---
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## Monitoring Commands
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### Watch for Smart Entry activation
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```bash
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docker logs -f trading-bot-v4 | grep "Smart Entry"
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```
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### Check initialization on first signal
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```bash
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docker logs trading-bot-v4 | grep "Smart Entry Timer initialized"
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```
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### Verify queued signals
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```bash
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# API endpoint to check queue status (future enhancement)
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curl http://localhost:3001/api/trading/smart-entry/status
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```
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---
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## Expected Log Sequence
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### Scenario 1: Already at favorable price
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```
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🎯 Smart Entry: Evaluating entry timing...
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Signal Price: $142.50
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Current Price: $142.29 (-0.15%)
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✅ Smart Entry: Already at favorable level (0.15% pullback)
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Executing immediately - no need to wait
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```
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### Scenario 2: Need to wait for pullback (LONG example)
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```
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🎯 Smart Entry: Evaluating entry timing...
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Signal Price: $142.50
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Current Price: $142.48 (-0.01%)
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⏳ Smart Entry: Queuing signal for optimal entry timing
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Waiting for dip of 0.15-0.5%
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💡 Smart Entry Timer initialized: {enabled: true, maxWait: '120s', pullback: '0.15-0.5%', adxTolerance: '2 points'}
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📥 Smart Entry: Queued signal SOL-PERP LONG at $142.50
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Target pullback: 0.15-0.5% (watchin for dip to $142.29-$141.79)
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Expires in: 120s
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🔍 Smart Entry: Checking 1 queued signals... (15s later)
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SOL-PERP LONG: Current $142.30 (-0.14%) vs target -0.15% | ADX: 26.0 vs 28.0 (signal)
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✅ Smart Entry: Pullback confirmed! SOL-PERP LONG at $142.28 (-0.15%)
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Entry improved by: 0.15% ($22 on position)
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Wait time: 23 seconds, Checks performed: 2
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```
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### Scenario 3: Timeout before favorable entry
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```
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🔍 Smart Entry: Checking 1 queued signals...
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⏰ Smart Entry: Timeout reached for SOL-PERP LONG (waited 120s)
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Executing at current price: $142.55 (+0.04%)
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Entry timing: Not optimal but within acceptable range
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```
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### Scenario 4: ADX cancellation
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```
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🔍 Smart Entry: Checking 1 queued signals...
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❌ Smart Entry: ADX dropped too much for SOL-PERP LONG
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Signal ADX: 28.0, Current ADX: 25.5 (dropped 2.5 points > 2.0 tolerance)
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Cancelling signal - trend weakening
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```
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---
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## Database Tracking
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All trades will include Smart Entry metadata in `configSnapshot`:
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```json
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{
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"smartEntry": {
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"used": true,
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"improvement": 0.15,
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"waitTime": 23,
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"reason": "pullback_confirmed",
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"checksPerformed": 2
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}
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}
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```
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**Performance Analysis Query:**
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```sql
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SELECT
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COUNT(*) as total_trades,
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COUNT(CASE WHEN (configSnapshot::jsonb->'smartEntry'->>'used')::boolean THEN 1 END) as smart_entry_used,
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AVG((configSnapshot::jsonb->'smartEntry'->>'improvement')::float) as avg_improvement,
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AVG((configSnapshot::jsonb->'smartEntry'->>'waitTime')::float) as avg_wait_time
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FROM "Trade"
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WHERE "createdAt" > NOW() - INTERVAL '7 days'
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AND configSnapshot::jsonb ? 'smartEntry';
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```
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---
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## Financial Impact Projection
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**Expected Entry Improvement:** 0.2-0.5% per trade
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**On $8,000 average position:**
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- 0.2% improvement = $16 per trade
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- 0.5% improvement = $40 per trade
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- **Conservative estimate: $20-30 per trade average**
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**Over 100 trades:**
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- Conservative: $2,000 improvement
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- Expected: $3,000 improvement
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- Best case: $4,000 improvement
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**Current capital ($540) → Goal ($100,000):**
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- Every $1,000 improvement = 1.85× capital gain
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- $3,000 improvement = 5.55× capital gain (from entry timing alone)
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- Compounds with existing 57.1% win rate and TP2-as-runner system
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---
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## Validation Checklist
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### After First Signal
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- [ ] Initialization log appears: `💡 Smart Entry Timer initialized`
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- [ ] Config shows enabled: true
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- [ ] Either immediate execution OR queued with monitoring
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### After First Queued Signal
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- [ ] Monitoring logs every 15 seconds: `🔍 Smart Entry: Checking N queued signals...`
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- [ ] Pullback detection working (shows current price vs target)
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- [ ] ADX validation running (shows current vs signal ADX)
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- [ ] Execution occurs on favorable pullback OR timeout
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### After 5-10 Trades
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- [ ] Database `configSnapshot` includes `smartEntry` metadata
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- [ ] Improvement percentages recorded correctly
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- [ ] Wait times reasonable (mostly <60 seconds or timeouts)
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- [ ] No errors or crashes from Smart Entry logic
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### After 50-100 Trades
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- [ ] Run performance analysis SQL query
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- [ ] Compare smart entry vs immediate entry (control group)
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- [ ] Validate 0.2-0.5% improvement hypothesis
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- [ ] Measure impact on win rate and profit factor
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---
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## Troubleshooting
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### If no initialization log on first signal
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1. Check if signal passed quality score threshold (90+ for LONG, 95+ for SHORT)
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2. Verify signal included `signalPrice` field
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3. Check execute endpoint logs for Smart Entry evaluation
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4. Confirm `SMART_ENTRY_ENABLED=true` in `/app/.env` inside container
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### If signals not queuing when expected
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1. Verify current price is NOT already at favorable pullback
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2. Check log: `✅ Smart Entry: Already at favorable level` = immediate execution (correct)
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3. Ensure pullback direction matches trade direction (LONG=dip, SHORT=bounce)
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### If queued signals never execute
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1. Check monitoring interval is running: `🔍 Smart Entry: Checking N queued signals...`
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2. Verify ADX not dropping too much (>2 points = cancellation)
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3. Ensure timeout (120s) eventually triggers execution
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4. Check Position Manager not interfering with queued signals
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---
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## Next Steps
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1. **Monitor first signal arrival** (watch logs for initialization)
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2. **Validate queuing behavior** on first unfavorable entry price
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3. **Collect 5-10 test trades** to verify system stability
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4. **Analyze entry improvements** after 20-30 trades
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5. **Full performance review** after 50-100 trades
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6. **Configuration tuning** if needed (pullback range, wait time, ADX tolerance)
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---
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## Git Commits
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- **a8c1b2c** - Implementation (smart-entry-timer.ts + integration)
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- **a98ddad** - Documentation (SMART_ENTRY_TIMING_STATUS.md)
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- **cf6bdac** - Deployment (SMART_ENTRY_ENABLED=true + rebuild)
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---
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**Status:** Ready for production trading. Feature will activate on next signal arrival.
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**Expected value:** $2,000-4,000 improvement over 100 trades from better entry timing alone.
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