- Add qualityScore to ExecuteTradeResponse interface and response object
- Update analytics page to always show Signal Quality card (N/A if unavailable)
- Fix n8n workflow to pass context metrics and qualityScore to execute endpoint
- Fix timezone in Telegram notifications (Europe/Berlin)
- Fix symbol normalization in /api/trading/close endpoint
- Update Drift ETH-PERP minimum order size (0.002 ETH not 0.01)
- Add transaction confirmation to closePosition() to prevent phantom closes
- Add 30-second grace period for new trades in Position Manager
- Fix execution order: database save before Position Manager.addTrade()
- Update copilot instructions with transaction confirmation pattern
- Added minQualityScore to TradingConfig (default: 60)
- Updated settings UI with slider control (0-100, step 5)
- Updated check-risk endpoint to use config value
- Made scoreSignalQuality function accept minScore parameter
- Updated API to read/write MIN_QUALITY_SCORE env variable
- Allows users to adjust quality threshold from settings page
- Extended MarketConfig with optional positionSize and leverage fields
- Configured ETH-PERP at @ 1x leverage for minimal-risk data collection
- Created getPositionSizeForSymbol() helper function in config/trading.ts
- Integrated symbol-specific sizing into execute endpoint
- Added comprehensive guide in docs/guides/SYMBOL_SPECIFIC_SIZING.md
Purpose: Enable ETH trading for faster signal quality data collection
while preserving SOL's profit-generation sizing (0 @ 10x)
Next: Create ETH alert in TradingView and restart bot
- 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
- 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
**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
**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
- 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)
- 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
- 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
