- Added getConnection() method to DriftService
- Added proper transaction confirmation in openPosition()
- Check confirmation.value.err to detect on-chain failures
- Return error if transaction fails instead of assuming success
- Prevents phantom trades that never actually execute
This fixes the issue where bot was recording trades with transaction
signatures that don't exist on-chain (like 2gqrPxnvGzdRp56...).
- Add signalQualityScore field to Trade model (0-100)
- Calculate quality score in execute endpoint using same logic as check-risk
- Save score with every trade for correlation analysis
- Create database migration for new field
- Enables future analysis: score vs win rate, P&L, etc.
This allows data-driven decisions on dynamic position sizing
- Add getLastTrade() function to database service
- Create /api/analytics/last-trade endpoint
- Display last trade with full details on analytics page
- Show entry/exit prices, P&L, position size, targets
- Visual indicators for trade direction and exit reason
- Helps quickly diagnose where trades went (TP1, TP2, or SL)
Bug: Position Manager was comparing ANY position on the symbol to the trade being
tracked, without verifying entry price match. When a new position opened, it would
think the old tracked trade 'closed externally' and cancel ALL orders - including
the new position's exit orders.
Fix: Added entry price verification (0.5% tolerance). If position entry price doesn't
match the tracked trade, mark the old trade as 'lost tracking' and remove from
monitoring WITHOUT cancelling orders (they belong to the new position).
This prevents the catastrophic scenario where exit orders are repeatedly cancelled,
leaving positions unprotected.
Bug: MAE/MFE was tracked in memory during trades but not saved to database on exit
Cause: updateTradeExit() wasn't receiving or saving MAE/MFE parameters
Changes:
- Added MAE/MFE fields to UpdateTradeExitParams interface
- Modified updateTradeExit() to save maxFavorableExcursion, maxAdverseExcursion, maxFavorablePrice, maxAdversePrice
- Updated both updateTradeExit() calls in Position Manager to pass MAE/MFE values
- Enhanced exit logging to show final MAE/MFE percentages
Impact: Future trades will now properly save MAE/MFE data for analytics
Note: Past 2 trades (from before this fix) don't have MAE/MFE saved
- Added getFundingRate() method to DriftService
- Capture expectedEntryPrice from oracle before order execution
- Capture fundingRateAtEntry from Drift Protocol
- Save market context fields to database (expectedEntryPrice, fundingRateAtEntry)
- Calculate entry slippage percentage in createTrade()
- Fixed template literal syntax errors in execute endpoint
Database fields populated:
- expectedEntryPrice: Oracle price before order
- entrySlippagePct: Calculated from entrySlippage
- fundingRateAtEntry: Current funding rate from Drift
Next: Phase 3 (analytics API) or test market context on next trade
- Detect on-chain TP2 fills in size mismatch logic and set tp2Hit flag
- Position size thresholds: <30% = TP1, <10% = TP2 (prevents runner from being closed)
- Ensures runner (5-20%) trails properly instead of being market-closed immediately
**ROOT CAUSE:** placeExitOrders() calculated position size using TP/SL prices instead of entry price
**Problem:**
- TP1 order size: 85 / TP1_price (00.746) = 2.914 SOL
- Actual position: 80 / entry_price (99.946) = 3.901 SOL
- TP1 should close: 3.901 * 75% = 2.926 SOL
- But it only closed: 2.914 SOL = 74.7% ❌ WRONG!
**Result:** TP1 closed ~25% instead of 75%, no runner left
**Fix:**
- Changed usdToBase() to use entryPrice for ALL size calculations
- Added entryPrice param to PlaceExitOrdersOptions interface
- Updated all API routes to pass entryPrice
**Testing:** Next trade will have correctly sized TP/SL orders
- Remove saveTradeState() call from addTrade() to avoid P2025 error
- Add initialization check in checkTradeConditions() to skip when Drift not ready
- Silence 'not initialized' errors during startup (expected behavior)
- Trade state is now saved only by API endpoint after DB record created
- Change takeProfit2SizePercent from 100% to 80% to leave 5% runner
- Fix cancelAllOrders() to detect trigger orders using orderId > 0
- Trigger orders (TRIGGER_MARKET, TRIGGER_LIMIT) now properly canceled
- Trailing stop will now activate on 5% runner position
- Save currentSize before it becomes 0 in external closure detection
- Use sizeBeforeClosure for P&L calculation instead of trade.currentSize
- Prevents /bin/bash.00 P&L for TP2 exits when position closes externally
- Ensures win/loss analytics counts TP trades correctly
- cancelAllOrders() now calls initializeDriftService() if service not initialized
- Prevents 'Drift service not initialized' error when Position Manager tries to cancel orphaned orders
- Ensures order cleanup works correctly after external position closures
**Issue 1: TP2 Runner Position Bug** ✅ FIXED
- TP2 was calculated as 80% of ORIGINAL position instead of REMAINING
- With TP1=75%, TP2=80%: Was closing 75%+80%=155% (capped at 100%)
- Now correctly: TP1 closes 75%, TP2 closes 80% of remaining 25% = 20%
- Result: 5% runner now remains for trailing stop as intended!
**Issue 2: Race Condition - Orphaned SL Orders** ✅ FIXED
- Orders were placed AFTER Position Manager started monitoring
- If TP hit fast, PM detected 'external closure' before orders finished
- Orders completed after position gone → orphaned SL orders on Drift
- Now: Exit orders placed BEFORE starting monitoring
- PM can now properly cancel remaining orders when position closes
**Issue 3: 5min vs 15min Timeframe** ⚠️ NEEDS VERIFICATION
- n8n workflow correctly filters for timeframe === '15'
- Extracts timeframe with regex: /\.P\s+(\d+)/
- User needs to verify TradingView alert includes '.P 15' in message
- Format should be: 'SOL buy .P 15' not just 'SOL buy'
**Technical Changes:**
- lib/drift/orders.ts: Fixed TP2 calculation to use remaining size
- Added logging: Shows TP1, TP2, remaining, and runner amounts
- app/api/trading/execute/route.ts: Reordered to place orders before monitoring
- Prevents race condition where orders complete after position closed
**Testing:**
- Next trade will show proper runner position (5% remains)
- No more orphaned SL orders after wins
- Logs will show: 'Runner (if any): $X.XX'
**Documentation:**
- Created CRITICAL_ISSUES_FOUND.md explaining all 3 issues
- Created FIXES_APPLIED.md with testing instructions
**Root Cause:** Position Manager didn't detect when on-chain TP/SL orders closed positions externally, causing endless error loops and stale position data.
**Issues Fixed:**
1. Position Manager now checks if on-chain position still exists before attempting to close
2. Detects external closures (by on-chain orders) and updates database accordingly
3. Determines likely exit reason based on price vs TP/SL levels
4. Automatically cancels leftover orders when position detected as closed
5. Analytics now properly shows stopped-out trades
**Technical Changes:**
- Added position existence check at start of checkTradeConditions()
- Calls DriftService.getPosition() to verify on-chain state
- Updates database with exitPrice, exitReason, realizedPnL when external closure detected
- Removes trade from monitoring after external closure
- Handles size mismatches for partial closes (TP1 hit externally)
**Database Fix:**
- Manually closed orphaned trade (stopped out 9 hours ago but still marked 'open')
- Calculated and set realizedPnL = -$12.00 for stopped-out SHORT position
- Analytics now shows 3 total trades instead of missing the SL exit
**Testing:**
- Bot starts cleanly with no error loops
- Position monitoring active with 0 trades (as expected)
- Analytics correctly shows stopped-out trade in statistics
- Added /close Telegram command for full position closure
- Updated /reduce to accept 10-100% (was 10-90%)
- Implemented auto-flip logic: automatically closes opposite position when signal reverses
- Fixed risk check to allow opposite direction trades (signal flips)
- Enhanced Position Manager to cancel orders when removing trades
- Added startup initialization for Position Manager (restores trades on restart)
- Fixed analytics to show stopped-out trades (manual DB update for orphaned trade)
- Updated reduce endpoint to route 100% closes through closePosition for proper cleanup
- All position closures now guarantee TP/SL order cancellation on Drift
- Implemented trailing stop logic in Position Manager for remaining position after TP2
- Added new ActiveTrade fields: tp2Hit, trailingStopActive, peakPrice
- New config settings: useTrailingStop, trailingStopPercent, trailingStopActivation
- Added trailing stop UI section in settings page with explanations
- Fixed env file parsing regex to support numbers in variable names (A-Z0-9_)
- Settings now persist correctly across container restarts
- Added back arrow navigation on settings page
- Updated all API endpoints and test files with new fields
- Trailing stop activates when runner reaches configured profit level
- SL trails below peak price by configurable percentage
- Add Position Manager state persistence to survive restarts
- Auto-restore open trades from database on startup
- Save state after TP1, SL adjustments, profit locks
- Persist to configSnapshot JSON field
- Add automatic order cancellation
- Cancel all TP/SL orders when position fully closed
- New cancelAllOrders() function in drift/orders.ts
- Prevents orphaned orders after manual closes
- Improve stop loss management
- Move SL to +0.35% after TP1 (was +0.15%)
- Gives more breathing room for retracements
- Still locks in half of TP1 profit
- Add database sync when Position Manager closes trades
- Auto-update Trade record with exit data
- Save P&L, exit reason, hold time
- Fix analytics showing stale data
- Add trade state management functions
- updateTradeState() for Position Manager persistence
- getOpenTrades() for startup restoration
- getInitializedPositionManager() for async init
- Create n8n database analytics workflows
- Daily report workflow (automated at midnight)
- Pattern analysis (hourly/daily performance)
- Stop loss effectiveness analysis
- Database analytics query workflow
- Complete setup guide (N8N_DATABASE_SETUP.md)
- Fixed Prisma client not being available in Docker container
- Added isTestTrade flag to exclude test trades from analytics
- Created analytics views for net positions (matches Drift UI netting)
- Added API endpoints: /api/analytics/positions and /api/analytics/stats
- Added test trade endpoint: /api/trading/test-db
- Updated Dockerfile to properly copy Prisma client from builder stage
- Database now successfully stores all trades with full details
- Supports position netting calculations to match Drift perpetuals behavior
- Add PostgreSQL database with Prisma ORM
- Trade model: tracks entry/exit, P&L, order signatures, config snapshots
- PriceUpdate model: tracks price movements for drawdown analysis
- SystemEvent model: logs errors and system events
- DailyStats model: aggregated performance metrics
- Implement dual stop loss system (enabled by default)
- Soft stop (TRIGGER_LIMIT) at -1.5% to avoid wicks
- Hard stop (TRIGGER_MARKET) at -2.5% to guarantee exit
- Configurable via USE_DUAL_STOPS, SOFT_STOP_PERCENT, HARD_STOP_PERCENT
- Backward compatible with single stop modes
- Add database service layer (lib/database/trades.ts)
- createTrade(): save new trades with all details
- updateTradeExit(): close trades with P&L calculations
- addPriceUpdate(): track price movements during trade
- getTradeStats(): calculate win rate, profit factor, avg win/loss
- logSystemEvent(): log errors and system events
- Update execute endpoint to use dual stops and save to database
- Calculate dual stop prices when enabled
- Pass dual stop parameters to placeExitOrders
- Save complete trade record to database after execution
- Add test trade button to settings page
- New /api/trading/test endpoint for executing test trades
- Displays detailed results including dual stop prices
- Confirmation dialog before execution
- Shows entry price, position size, stops, and TX signature
- Generate Prisma client in Docker build
- Update DATABASE_URL for container networking
- Changed SL from TRIGGER_LIMIT to TRIGGER_MARKET
- Guarantees SL execution even during volatile moves/gaps
- Added optional TRIGGER_LIMIT mode for very liquid markets
- TP orders remain as LIMIT for price precision
- Follows best practice: stop-market for SL, limit for TP
- Changed from LIMIT to TRIGGER_LIMIT for proper stop loss display
- SL now shows correctly on Drift UI with trigger line
- Added 0.5% buffer on limit price below trigger for safety
- Widened default SL to -2% for safer testing
- Tested and verified all 3 exit orders (TP1, TP2, SL) working
- Add placeExitOrders() to create reduce-only LIMIT orders for TP1, TP2, and SL
- Orders now visible in Drift UI
- Tested with real tiny position (0 base x 5x = 0)
- All 3 exit orders placed successfully on-chain
- Position manager continues monitoring as backup
- Added test script and results documentation
Features:
- Autonomous trading system with Drift Protocol on Solana
- Real-time position monitoring with Pyth price feeds
- Dynamic stop-loss and take-profit management
- n8n workflow integration for TradingView signals
- Beautiful web UI for settings management
- REST API for trade execution and monitoring
- Next.js 15 with standalone output mode
- TypeScript with strict typing
- Docker containerization with multi-stage builds
- PostgreSQL database for trade history
- Singleton pattern for Drift client connection pooling
- BN.js for BigNumber handling (Drift SDK requirement)
- Configurable stop-loss and take-profit levels
- Breakeven trigger and profit locking
- Daily loss limits and trade cooldowns
- Slippage tolerance controls
- DRY_RUN mode for safe testing
- Real-time risk calculator
- Interactive sliders for all parameters
- Live preview of trade outcomes
- Position sizing and leverage controls
- Beautiful gradient design with Tailwind CSS
- POST /api/trading/execute - Execute trades
- POST /api/trading/close - Close positions
- GET /api/trading/positions - Monitor active trades
- GET /api/trading/check-risk - Validate trade signals
- GET /api/settings - View configuration
- POST /api/settings - Update configuration
- Fixed Borsh serialization errors (simplified order params)
- Resolved RPC rate limiting with singleton pattern
- Fixed BigInt vs BN type mismatches
- Corrected order execution flow
- Improved position state management
- Complete setup guides
- Docker deployment instructions
- n8n workflow configuration
- API reference documentation
- Risk management guidelines
- Runs on port 3001 (external), 3000 (internal)
- Uses Helius RPC for optimal performance
- Production-ready with error handling
- Health monitoring and logging
