- Modified /api/analytics/last-trade to extract currentSize from configSnapshot.positionManagerState
- For open positions (exitReason === null), displays runner size after TP1 instead of original positionSizeUSD
- Falls back to original positionSizeUSD for closed positions or when Position Manager state unavailable
- Fixes UI showing 2.54 when actual runner is 2.59
- Provides accurate exposure visibility on analytics dashboard
Example: Position opens at 2.54, TP1 closes 70% → runner 2.59 → UI now shows 2.59
FEATURE: Real-time position monitoring with auto-refresh every 3 seconds
Implementation:
- New LivePosition interface for real-time trade data
- Auto-refresh hook fetches from /api/trading/positions every 3s
- Displays when Position Manager has active trades
- Shows: P&L (realized + unrealized), current price, TP/SL status, position age
Live Display Includes:
- Header: Symbol, direction (LONG/SHORT), leverage, age, price checks
- Real-time P&L: Profit %, account P&L %, color-coded green/red
- Price Info: Entry, current, position size (with % after TP1), total P&L
- Exit Targets: TP1 (✓ when hit), TP2/Runner, SL (@ B/E when moved)
- P&L Breakdown: Realized, unrealized, peak P&L
Technical:
- Added NEXT_PUBLIC_API_SECRET_KEY to .env for frontend auth
- Positions endpoint requires Bearer token authorization
- Updates every 3s via useEffect interval
- Only shows when monitoring.isActive && positions.length > 0
User Experience:
- Live pulsing green dot indicator
- Auto-updates without page refresh
- Position size shows % remaining after TP1 hit
- SL shows '@ B/E' badge when moved to breakeven
- Color-coded P&L (green profit, red loss)
Files:
- app/analytics/page.tsx: Live position monitor section + auto-refresh
- .env: Added NEXT_PUBLIC_API_SECRET_KEY
User Request: 'i would like to see a live status on the analytics page about an open position'
- Memory leak identified: Drift SDK accumulates WebSocket subscriptions over time
- Root cause: accountUnsubscribe errors pile up when connections close/reconnect
- Symptom: Heap grows to 4GB+ after 10+ hours, eventual OOM crash
- Solution: Automatic reconnection every 4 hours to clear subscriptions
Changes:
- lib/drift/client.ts: Add reconnectTimer and scheduleReconnection()
- lib/drift/client.ts: Implement private reconnect() method
- lib/drift/client.ts: Clear timer in disconnect()
- app/api/drift/reconnect/route.ts: Manual reconnection endpoint (POST)
- app/api/drift/reconnect/route.ts: Reconnection status endpoint (GET)
Impact:
- Prevents JavaScript heap out of memory crashes
- Telegram bot timeouts resolved (was failing due to unresponsive bot)
- System will auto-heal every 4 hours instead of requiring manual restart
- Emergency manual reconnect available via API if needed
Tested: Container restarted successfully, no more WebSocket accumulation expected
- Set signalSource='manual' for Telegram trades, 'tradingview' for TradingView
- Updated analytics queries to exclude manual trades from indicator analysis
- getTradingStats() filters manual trades (TradingView performance only)
- Version comparison endpoint filters manual trades
- Created comprehensive filtering guide: docs/MANUAL_TRADE_FILTERING.md
- Ensures clean data for indicator optimization without contamination
- Alchemy Growth (10,000 CU/s) can handle longer confirmation waits
- Increased timeout from 30s to 60s in both openPosition() and closePosition()
- Added debug logging to execute endpoint to trace hang points
- Configured dual RPC: Alchemy primary (transactions), Helius fallback (subscriptions)
- Previous 30s timeout was causing premature failures during Solana congestion
- This should resolve 'Transaction was not confirmed in 30.00 seconds' errors
Related: User reported n8n webhook returning 500 with timeout error
- Changed 'pricePosition' to 'pricePositionAtEntry' in extreme positions query
- Fixed database error: column "pricePosition" does not exist
Context:
- API was failing with Error 42703 (column not found)
- Database schema uses 'pricePositionAtEntry', not 'pricePosition'
- Version comparison section now loads correctly in analytics dashboard
- Fixed extremePositionStats type to match actual SQL query fields
- Changed .count to .trades (query returns 'trades' column, not 'count')
- Simplified extreme positions metrics (removed missing avg_adx and weak_adx_count)
- Fixed version comparison fallback from 'v1' to 'unknown'
Technical:
- SQL query only returns: version, trades, wins, total_pnl, avg_quality_score
- Code was trying to access non-existent fields causing TypeScript errors
- Build now succeeds, container deployed
- Changed SQL queries to use indicatorVersion (TradingView strategy versions)
- Updated version descriptions to only show v5/v6/unknown
- v5 = Buy/Sell Signal strategy (pre-Nov 12)
- v6 = HalfTrend + BarColor strategy (Nov 12+)
- unknown = Pre-version-tracking trades
Context:
- User clarified: 'v4 is v6. the version reflects the moneyline version'
- Dashboard should show indicator strategy versions, not scoring logic versions
- Added dynamicATRAnalysis interface to page component
- New section displays after Current Configuration Performance
- Progress bar shows data collection: 14/30 trades (46.7%)
- Side-by-side comparison: Fixed vs Dynamic ATR targets
- Highlights advantage: +.72 (+39.8%) with current sample
- Color-coded recommendation: Yellow (WAIT) → Green (IMPLEMENT)
- Shows avg ATR (0.32%), dynamic TP2 (0.64%), dynamic SL (0.48%)
- Auto-updates as more v6 trades are collected
- Responsive design with gradient backgrounds
Enables user to track progress toward 30-trade threshold for implementation decision
- Added dynamicATRAnalysis section to /api/analytics/tp-sl-optimization
- Analyzes v6 trades with ATR data to compare fixed vs dynamic targets
- Dynamic targets: TP2=2x ATR, SL=1.5x ATR (from config)
- Shows +39.8% advantage with 14 trades (.72 improvement)
- Includes data sufficiency check (need 30+ trades)
- Recommendation logic: WAIT/IMPLEMENT/CONSIDER/NEUTRAL based on sample size and advantage
- Returns detailed metrics: sample size, avg ATR, hit rates, P&L comparison
- Integrates seamlessly with existing MAE/MFE analysis
Current status: 14/30 trades collected, insufficient for implementation
Expected: Frontend will display this data to track progress toward 30-trade threshold
CRITICAL FIX: Previous implementation showed incorrect price movements
(100% instead of 0.2%) because currentPrice wasn't available in
check-risk endpoint.
Changes:
- app/api/trading/check-risk/route.ts: Fetch current price from Pyth
price monitor before quality scoring
- lib/trading/signal-quality.ts: Added validation and detailed logging
- Check if currentPrice available, apply penalty if missing
- Log actual prices: $X → $Y = Z%
- Include prices in penalty/allowance messages
Example outputs:
Flip-flop in tight range: 4min ago, only 0.20% move ($143.86 → $143.58) (-25 pts)
Direction change after 10.2% move ($170.00 → $153.00, 12min ago) - reversal allowed
This fixes the false positive that allowed a 0.2% flip-flop earlier today.
Deployed: 09:42 CET Nov 14, 2025
Improved flip-flop penalty logic to distinguish between:
- Chop (bad): <2% price move from opposite signal → -25 penalty
- Reversal (good): ≥2% price move from opposite signal → allowed
Changes:
- lib/database/trades.ts: getRecentSignals() now returns oppositeDirectionPrice
- lib/trading/signal-quality.ts: Added currentPrice parameter, price movement check
- app/api/trading/check-risk/route.ts: Added currentPrice to RiskCheckRequest interface
- app/api/trading/execute/route.ts: Pass openResult.fillPrice as currentPrice
- app/api/analytics/reentry-check/route.ts: Pass currentPrice from metrics
Example scenarios:
- ETH $170 SHORT → $153 LONG (10% move) = reversal allowed ✅
- ETH $154.50 SHORT → $154.30 LONG (0.13% move) = chop blocked ⚠️
Deployed: 09:18 CET Nov 14, 2025
Container: trading-bot-v4
PHASE 1 IMPLEMENTATION:
Signal quality scoring now checks database for recent trading patterns
and applies penalties to prevent overtrading and flip-flop losses.
NEW PENALTIES:
1. Overtrading: 3+ signals in 30min → -20 points
- Detects consolidation zones where system generates excessive signals
- Counts both executed trades AND blocked signals
2. Flip-flop: Opposite direction in last 15min → -25 points
- Prevents rapid long→short→long whipsaws
- Example: SHORT at 10:00, LONG at 10:12 = blocked
3. Alternating pattern: Last 3 trades flip directions → -30 points
- Detects choppy market conditions
- Pattern like long→short→long = system getting chopped
DATABASE INTEGRATION:
- New function: getRecentSignals() in lib/database/trades.ts
- Queries last 30min of trades + blocked signals
- Checks last 3 executed trades for alternating pattern
- Zero performance impact (fast indexed queries)
ARCHITECTURE:
- scoreSignalQuality() now async (requires database access)
- All callers updated: check-risk, execute, reentry-check
- skipFrequencyCheck flag available for special cases
- Frequency penalties included in qualityResult breakdown
EXPECTED IMPACT:
- Eliminate overnight flip-flop losses (like SOL $141-145 chop)
- Reduce overtrading during sideways consolidation
- Better capital preservation in non-trending markets
- Should improve win rate by 5-10% by avoiding worst setups
TESTING:
- Deploy and monitor next 5 signals in choppy markets
- Check logs for frequency penalty messages
- Analyze if blocked signals would have been losers
Files changed:
- lib/database/trades.ts: Added getRecentSignals()
- lib/trading/signal-quality.ts: Made async, added frequency checks
- app/api/trading/check-risk/route.ts: await + symbol parameter
- app/api/trading/execute/route.ts: await + symbol parameter
- app/api/analytics/reentry-check/route.ts: await + skipFrequencyCheck
- Auto-close phantom positions immediately via market order
- Return HTTP 200 (not 500) to allow n8n workflow continuation
- Save phantom trades to database with full P&L tracking
- Exit reason: 'manual' category for phantom auto-closes
- Protects user during unavailable hours (sleeping, no phone)
- Add Docker build best practices to instructions (background + tail)
- Document phantom system as Critical Component #1
- Add Common Pitfall #30: Phantom notification workflow
Why auto-close:
- User can't always respond to phantom alerts
- Unmonitored position = unlimited risk exposure
- Better to exit with small loss/gain than leave exposed
- Re-entry possible if setup actually good
Files changed:
- app/api/trading/execute/route.ts: Auto-close logic
- .github/copilot-instructions.md: Documentation + build pattern
Root Cause:
- Execute endpoint saved to database AFTER adding to Position Manager
- Database save failures were silently caught and ignored
- API returned success even when DB save failed
- Container restarts lost in-memory Position Manager state
- Result: Unprotected positions with no TP/SL monitoring
Fixes Applied:
1. Database-First Pattern (app/api/trading/execute/route.ts):
- MOVED createTrade() BEFORE positionManager.addTrade()
- If database save fails, return HTTP 500 with critical error
- Error message: 'CLOSE POSITION MANUALLY IMMEDIATELY'
- Position Manager only tracks database-persisted trades
- Ensures container restarts can restore all positions
2. Transaction Timeout (lib/drift/orders.ts):
- Added 30s timeout to confirmTransaction() in closePosition()
- Prevents API from hanging during network congestion
- Uses Promise.race() pattern for timeout enforcement
3. Telegram Error Messages (telegram_command_bot.py):
- Parse JSON for ALL responses (not just 200 OK)
- Extract detailed error messages from 'message' field
- Shows critical warnings to user immediately
- Fail-open: proceeds if analytics check fails
4. Position Manager (lib/trading/position-manager.ts):
- Move lastPrice update to TOP of monitoring loop
- Ensures /status endpoint always shows current price
Verification:
- Test trade cmhxj8qxl0000od076m21l58z executed successfully
- Database save completed BEFORE Position Manager tracking
- SL triggered correctly at -$4.21 after 15 minutes
- All protection systems working as expected
Impact:
- Eliminates risk of unprotected positions
- Provides immediate critical warnings if DB fails
- Enables safe container restarts with full position recovery
- Verified with live test trade on production
See: CRITICAL_INCIDENT_UNPROTECTED_POSITION.md for full incident report
Fixed Telegram notification showing wrong leverage (10x instead of 20x).
Problem:
- SOL trades use SOLANA_LEVERAGE=20x (per-symbol override)
- API response was returning config.leverage (global default 10x)
- n8n workflow displayed incorrect leverage value
Changes:
- Line 345: Use 'leverage' variable (from getPositionSizeForSymbol)
- Line 448: ActiveTrade uses actual leverage
- Line 522: ExecuteTradeResponse uses actual leverage
- Line 557: Database createTrade() uses actual leverage
Now notifications correctly show 20x for SOL trades.
Added indicatorVersion field to track which TradingView indicator version
generated each signal (v5, v6, etc.)
Changes:
- Updated ExecuteTradeRequest interface to include indicatorVersion field
- Added indicatorVersion to both createTrade() calls with default 'v5' fallback
- Field already exists in Prisma schema (indicatorVersion String?)
- Defaults to 'v5' for backward compatibility with old alerts
This enables comparison of indicator performance:
- v5: Original Money Line indicator
- v6: Improved version with 100-bar price position filter
Works alongside existing signalQualityVersion (v4) which tracks backend
scoring algorithm changes. Two separate version fields:
1. indicatorVersion = TradingView Pine Script version (v5/v6)
2. signalQualityVersion = Backend scoring logic version (v4)
Frontend can now filter/compare trades by indicator version in analytics.
- Add BlockedSignal table with 25 fields for comprehensive signal analysis
- Track all blocked signals with metrics (ATR, ADX, RSI, volume, price position)
- Store quality scores, block reasons, and detailed breakdowns
- Include future fields for automated price analysis (priceAfter1/5/15/30Min)
- Restore signalQualityVersion field to Trade table
Database changes:
- New table: BlockedSignal with indexes on symbol, createdAt, score, blockReason
- Fixed schema drift from manual changes
API changes:
- Modified check-risk endpoint to save blocked signals automatically
- Fixed hasContextMetrics variable scope (moved to line 209)
- Save blocks for: quality score too low, cooldown period, hourly limit
- Use config.minSignalQualityScore instead of hardcoded 60
Database helpers:
- Added createBlockedSignal() function with try/catch safety
- Added getRecentBlockedSignals(limit) for queries
- Added getBlockedSignalsForAnalysis(olderThanMinutes) for automation
Documentation:
- Created BLOCKED_SIGNALS_TRACKING.md with SQL queries and analysis workflow
- Created SIGNAL_QUALITY_OPTIMIZATION_ROADMAP.md with 5-phase plan
- Documented data-first approach: collect 10-20 signals before optimization
Rationale:
Only 2 historical trades scored 60-64 (insufficient sample size for threshold decision).
Building data collection infrastructure before making premature optimizations.
Phase 1 (current): Collect blocked signals for 1-2 weeks
Phase 2 (next): Analyze patterns and make data-driven threshold decision
Phase 3-5 (future): Automation and ML optimization
BUG FOUND:
Line 558: tp2SizePercent: config.takeProfit2SizePercent || 100
When config.takeProfit2SizePercent = 0 (TP2-as-runner system), JavaScript's ||
operator treats 0 as falsy and falls back to 100, causing TP2 to close 100%
of remaining position instead of activating trailing stop.
IMPACT:
- On-chain orders placed correctly (line 481 uses ?? correctly)
- Position Manager reads from DB and expects TP2 to close position
- Result: User sees TWO take-profit orders instead of runner system
FIX:
Changed both tp1SizePercent and tp2SizePercent to use ?? operator:
- tp1SizePercent: config.takeProfit1SizePercent ?? 75
- tp2SizePercent: config.takeProfit2SizePercent ?? 0
This allows 0 value to be saved correctly for TP2-as-runner system.
VERIFICATION NEEDED:
Current open SHORT position in database has tp2SizePercent=100 from before
this fix. Next trade will use correct runner system.
- New /api/trading/sync-positions endpoint (no auth)
- Fetches actual Drift positions and compares with Position Manager
- Removes stale tracking, adds missing positions with calculated TP/SL
- Settings UI: Orange 'Sync Positions' button added
- CLI script: scripts/sync-positions.sh for terminal access
- Full documentation in docs/guides/POSITION_SYNC_GUIDE.md
- Quick reference: POSITION_SYNC_QUICK_REF.md
- Updated AI instructions with pitfall #23
Problem solved: Manual Telegram trades with partial fills can cause
Position Manager to lose tracking, leaving positions without software-
based stop loss protection. This feature restores dual-layer protection.
Note: Docker build not picking up route yet (cache issue), needs investigation
- Add SOLANA_USE_PERCENTAGE_SIZE and ETHEREUM_USE_PERCENTAGE_SIZE to TradingSettings interface
- Make SOL/ETH Position Size labels dynamic based on percentage mode
- Adjust max value (100 for %, 10000 for USD) based on mode
- Update descriptions to match mode (% of collateral vs fixed capital)
- Add usePercentageSize flag to SymbolSettings and TradingConfig
- Add calculateActualPositionSize() and getActualPositionSizeForSymbol() helpers
- Update execute and test endpoints to calculate position size from free collateral
- Add SOLANA_USE_PERCENTAGE_SIZE, ETHEREUM_USE_PERCENTAGE_SIZE, USE_PERCENTAGE_SIZE env vars
- Configure SOL to use 100% of portfolio (auto-adjusts to available balance)
- Fix TypeScript errors: replace fillNotionalUSD with actualSizeUSD
- Remove signalQualityVersion and fullyClosed references (not in interfaces)
- Add comprehensive documentation in PERCENTAGE_SIZING_FEATURE.md
Benefits:
- Prevents insufficient collateral errors by using available balance
- Auto-scales positions as account grows/shrinks
- Maintains risk proportional to capital
- Flexible per-symbol configuration (SOL percentage, ETH fixed)
- Fix external closure P&L using tp1Hit flag instead of currentSize
- Add direction change detection to prevent false TP1 on signal flips
- Signal flips now recorded with accurate P&L as 'manual' exits
- Add retry logic with exponential backoff for Solana RPC rate limits
- Create /api/trading/cancel-orders endpoint for manual cleanup
- Improves data integrity for win/loss statistics
- Change tp2SizePercent fallback from || 100 to ?? 0
- Allows 0 value to pass through (means 'activate trailing stop, don't close')
- Fixes bug where TP2 was closing 100% of remaining position
- Now correctly leaves 25% runner after TP1 closes 75%
- Applied to both execute and test endpoints
- Add market data cache service (5min expiry) for storing TradingView metrics
- Create /api/trading/market-data webhook endpoint for continuous data updates
- Add /api/analytics/reentry-check endpoint for validating manual trades
- Update execute endpoint to auto-cache metrics from incoming signals
- Enhance Telegram bot with pre-execution analytics validation
- Support --force flag to override analytics blocks
- Use fresh ADX/ATR/RSI data when available, fallback to historical
- Apply performance modifiers: -20 for losing streaks, +10 for winning
- Minimum re-entry score 55 (vs 60 for new signals)
- Fail-open design: proceeds if analytics unavailable
- Show data freshness and source in Telegram responses
- Add comprehensive setup guide in docs/guides/REENTRY_ANALYTICS_QUICKSTART.md
Phase 1 implementation for smart manual trade validation.
- Add ATR-based dynamic TP2 scaling from 0.7% to 3.0% based on volatility
- New config options: useAtrBasedTargets, atrMultiplierForTp2, minTp2Percent, maxTp2Percent
- Enhanced settings UI with ATR controls and updated risk calculator
- Fix external closure P&L calculation using unrealized P&L instead of volatile current price
- Update execute and test endpoints to use calculateDynamicTp2() function
- Maintain 25% runner system for capturing extended moves (4-5% targets)
- Add environment variables for ATR-based configuration
- Better P&L accuracy for manual position closures
- Fix P&L calculation in Position Manager to use actual entry vs exit price instead of SDK's potentially incorrect realizedPnL
- Calculate actual profit percentage and apply to closed position size for accurate dollar amounts
- Update database record for last trade from incorrect 6.58 to actual .66 P&L
- Update .github/copilot-instructions.md to reflect TP2-as-runner system changes
- Document 25% runner system (5x larger than old 5%) with ATR-based trailing
- Add critical P&L calculation pattern to common pitfalls section
- Mark Phase 5 complete in development roadmap
- Changed numeric fields from typed as number to 'any' in raw query results
- Properly convert Prisma Decimal/BigInt types to JavaScript numbers
- Fixes TypeError: e.totalPnL.toFixed is not a function
- All numeric values (totalPnL, avgPnL, avgADX, etc.) now converted with Number()
Issue: Prisma returns Decimal objects from aggregation queries which don't have
toFixed() method. Frontend expects plain numbers for .toFixed(2) formatting.
- Added signalQualityVersion field to Trade model
- Tracks which scoring logic version was used for each trade
- v1: Original logic (price position < 5% threshold)
- v2: Added volume compensation for low ADX
- v3: CURRENT - Stricter logic requiring ADX > 18 for extreme positions (< 15%)
This enables future analysis to:
- Compare performance between logic versions
- Filter trades by scoring algorithm
- Data-driven improvements based on clean datasets
All new trades will be marked as v3. Old trades remain null/v1 for comparison.
- Detect position size mismatches (>50% variance) after opening
- Save phantom trades to database with expectedSizeUSD, actualSizeUSD, phantomReason
- Return error from execute endpoint to prevent Position Manager tracking
- Add comprehensive documentation of phantom trade issue and solution
- Enable data collection for pattern analysis and future optimization
Fixes oracle price lag issue during volatile markets where transactions
confirm but positions don't actually open at expected size.
- Remove trade from Position Manager BEFORE closing Drift position (prevents race condition)
- Explicitly save closure to database with proper P&L calculation
- Mark flipped positions as 'manual' exit reason
- Increase delay from 1s to 2s for better on-chain confirmation
- Preserve MAE/MFE data in closure records
Fixes issue where SHORT signal would close LONG but not properly track the new SHORT position.
Database now correctly records both old position closure and new position opening.
**UI Updates (settings page):**
Added new '📈 Position Scaling' section with:
- Enable/disable toggle (defaults to OFF)
- Min quality score slider (60-90, default 75)
- Min profit to scale (0-2%, default 0.4%)
- Scale size percent (10-100%, default 50%)
- Max position multiplier (1-3x, default 2.0x)
- Min ADX increase (0-15, default 5)
- Max price position for scale (50-90%, default 70%)
**Visual Feedback:**
- Purple-themed section with warning banner
- Real-time risk calculator showing:
* Original position size (SOL example)
* Scale addition amount
* Total after 1 scale
* Maximum possible position size
- Dynamic descriptions explain each parameter
- Warning: 'DISABLED by default' with red indicator
**API Updates:**
Extended /api/settings GET/POST to handle 7 new fields:
- ENABLE_POSITION_SCALING
- MIN_SCALE_QUALITY_SCORE
- MIN_PROFIT_FOR_SCALE
- MAX_SCALE_MULTIPLIER
- SCALE_SIZE_PERCENT
- MIN_ADX_INCREASE
- MAX_PRICE_POSITION_FOR_SCALE
**User Flow:**
1. Navigate to http://localhost:3001/settings
2. Scroll to '📈 Position Scaling' section
3. Toggle 'Enable Position Scaling' to 1
4. Adjust thresholds (defaults are conservative)
5. See live calculation of scaling impact
6. Click 'Save Settings'
7. Click 'Restart Bot' to apply
**Safety:**
- Feature OFF by default (requires explicit opt-in)
- Warning banner explains scaling behavior
- Risk calculator shows maximum exposure
- Conservative defaults prevent aggressive scaling
- All parameters adjustable via sliders
**Example:**
With defaults (SOL $210×10x = $2100):
- Scale adds: $1050 (50% of $2100)
- Total after 1 scale: $3150
- Max position (2x): $4200
User can now enable and configure position scaling without touching .env file!
