- Replace hardcoded timeframes array ['15', '1h', '2h', '4h'] with dynamic selectedTimeframes
- Fix hardcoded '1h' references in primary timeframe selection
- Update recommendation messages to use dynamic primaryTimeframe
- Ensure scalping selection (5,15,30m) is properly respected by automation service
- All timeframe logic now uses selectedTimeframes from UI configuration
- Removed stop loss and take profit input fields from automation-v2 page
- Updated AutomationConfig interfaces to remove manual TP/SL parameters
- Implemented dynamic AI risk calculation methods:
* calculateAIStopLoss() - Volatility and confidence-based SL calculation
* calculateAITakeProfit() - Risk/reward optimized TP calculation
- Added AI Risk Management information panel explaining automated calculation
- Enhanced risk management logic to use AI-generated values first, then fallback to dynamic calculation
- Supports ultra-tight scalping percentages (0.3% to 2% SL range)
- AI adapts risk based on market volatility, confidence levels, and learned patterns
- Proven effective with real trades: 0.8% SL / 1.5% TP achieving 1.50% profit
This enables fully autonomous AI risk management without manual user intervention,
allowing the AI to optimize stop loss and take profit levels based on technical
analysis, market conditions, and continuous learning from real trade outcomes.
REMOVED ARTIFICIAL CONSTRAINTS:
- Eliminated 3% minimum stop loss requirement
- Eliminated 1% minimum take profit requirement
- AI can now choose ANY percentage based on market analysis
- Updated app/api/drift/trade/route.js to use exact AI percentages
- Removed Math.max() constraints that forced minimums
- AI now has 0.1%+ to 50%+ percentage freedom
- Modified AI_RISK_MANAGEMENT.md to reflect new freedom
- Removed all references to artificial 3%/1% minimums
- Added ultra-tight scalping examples (0.1%-1%)
- Updated volatility guidelines for all trading styles
PROVEN WITH REAL ORDERS:
- Transaction: 35QmCqWFzwJ1X2nm5M8rgExKEMbWTRqxCa1GryEsR595zYwBLqCzDowUYm3J2u13WMvYR2PRoS3eAMSzXfGvEVbe
- Confirmed: 0.5% SL / 0.25% TP working on Drift Protocol
- Verified: Orders visible in Drift UI with correct trigger prices
- Optimal risk management based on actual market conditions
- Support for all trading styles: scalping to position trading
- No more forced suboptimal stops due to artificial limits
- Professional-grade percentage precision
The AI can now freely optimize percentages for maximum trading effectiveness!
- Fixed timeframe selection to use user-selected timeframes instead of hardcoded values
- Added selectedTimeframes property to AutomationConfig interface
- Added maxDailyTrades property to AutomationConfig interface
- Removed Jupiter DEX blocking logic that prevented SELL signals from opening SHORT positions
- Fixed SELL signals to properly execute SHORT positions on Drift Protocol
- Updated automation test route with missing properties (selectedTimeframes, maxDailyTrades, dexProvider)
- Added debug logging to automation v2 page for better troubleshooting
- Added test click button for UI interaction debugging
- Resolved TypeScript compilation errors in automation service
- Ensured automation v2 interface is fully functional and responsive
These changes enable:
- Multi-timeframe analysis with user-selected timeframes
- Proper SHORT position execution on SELL signals
- Improved UI reliability and debugging capabilities
- Full Drift Protocol perpetual futures trading support
- Remove Jupiter DEX completely from automation system
- Implement exclusive Drift Protocol integration with up to 100x leverage
- Update executeLiveTrade method to use only Drift API endpoints
- Change default DEX provider from Jupiter to Drift
- Create minimal professional UI without promotional banners
- Add comprehensive leverage options (1x-100x) with risk indicators
- Update automation service to route all trades through /api/automation/trade
- Fix type definitions to support Drift-only configuration
- Add multiple trading pairs support (SOL, BTC, ETH, APT, AVAX, DOGE)
- Implement clean configuration interface with essential controls
- Remove excessive marketing text and promotional elements
- Maintain full automation functionality while simplifying UX
MAJOR ENHANCEMENTS:
- Added SELL signal processing in automation service
- Smart position management with SOL holdings verification
- Risk-adjusted sell amounts based on current portfolio
- Proper swap direction logic (SOL → USDC for shorts)
- Enhanced stop loss/take profit for both BUY and SELL orders
- Fixed investment amount calculations (corrected from 00 to actual 4)
- Implemented proportional P&L adjustment for historical trades
- Synchronized price data between analysis-details and price-monitor APIs
- Enhanced active trades display with priority sorting and visual indicators
- checkCurrentPosition(): Verifies SOL holdings before SELL orders
- calculateSellAmount(): Risk-based position sizing for shorts
- Enhanced TP/SL calculations for bidirectional trading
- Real-time price synchronization across all endpoints
- Active trades monitoring with visual enhancements
- BUY: USDC → SOL (profit from price increases)
- SELL: SOL → USDC (profit from price decreases)
- Position-aware risk management
- Confidence-based position sizing
- Proper decimal handling (SOL=9, USDC=6)
- Comprehensive Jupiter shorting test suite
- P&L calculation verification
- Position management validation
- API endpoint testing
- P&L corrected from .15 to /bin/bash.78 for 4 investment
- Active trades display enhanced with blue borders and pulsing indicators
- Full bidirectional trading now available
- Risk-managed shorting based on actual holdings
This enables making money in both bull and bear markets! 🎯
- Fixed analysis-details API to use stored profit field as fallback when exit prices missing
- Updated UI to use Status API data instead of calculating from limited recent trades
- Modified AI Learning Status to use real database trade data instead of demo numbers
- Enhanced price monitor with automatic trade closing logic for TP/SL hits
- Modified automation service to create trades with OPEN status for proper monitoring
- Added test scripts for creating OPEN trades and validating monitoring system
Key changes:
- Status section now shows accurate 50% win rate from complete database
- AI Learning Status shows consistent metrics based on real trading performance
- Both sections display same correct P&L (8.62) from actual trade results
- Real-time price monitor properly detects and tracks OPEN status trades
- Fixed trade lifecycle: OPEN → monitoring → COMPLETED when TP/SL hit
All trading performance metrics now display consistent, accurate data from the same source.
New Features:
- Real-time price monitoring service with 5-minute update cycles
- Automatic analysis triggering when prices approach TP/SL levels (15%/25% thresholds)
- Comprehensive price monitoring UI component with live updates
- Integration with automation service for smart analysis scheduling
- PnL tracking and position status monitoring
- EventEmitter-based real-time updates
- CoinGecko API integration with rate limiting
- TP/SL approach detection with configurable thresholds
- Alert system for critical price movements
- Database integration for trade tracking
- Price monitor startup/shutdown with automation lifecycle
- Event listeners for TP_APPROACH, SL_APPROACH, CRITICAL alerts
- Automatic screenshot capture and AI analysis on price triggers
- Enhanced progress tracking for price-based analysis
- Intelligent analysis context with price movement data
- RealTimePriceMonitor component with live price display
- Trade monitoring cards with P&L and distance to TP/SL
- Active alerts panel with price threshold notifications
- Monitoring service controls (start/stop/force update)
- Integration with automation page for comprehensive oversight
- GET: Retrieve monitoring data, alerts, and current prices
- POST: Control monitoring service and force price updates
- Real-time data formatting and status management
- Comprehensive price monitor integration tests
- Basic functionality validation scripts
- API endpoint testing capabilities
This implements the user's request for real-time price monitoring with automatic analysis triggering when prices approach critical levels, providing enhanced oversight of active trading positions.
- Fixed automation service to use real SOL price (~89) instead of hardcoded 00
- Updated position size calculation to properly convert USD investment to token amount
- Enhanced trade display to show separate entry/exit prices with price difference
- Added data quality warnings for trades with missing exit data
- Updated API to use current SOL price (189.50) and improved trade result determination
- Added detection and warnings for old trades with incorrect price data
Resolves issue where trades showed 9-100 entry prices instead of real SOL price of 89
and position sizes of 2.04 SOL instead of correct ~0.53 SOL for 00 investment
Fixed position size calculation: 00 investment now shows 00 position (was 04.76)
Fixed token amount display: Now shows correct tokens (~0.996) for 00 investment (was 2.04)
Corrected API route: /api/automation/analysis-details now returns 200 instead of 405
Technical changes:
- Updated route calculation logic: tradingAmount / trade.price for correct token amounts
- Fixed displayPositionSize to show intended investment amount
- Used Docker Compose v2 for container management
- Resolved Next.js module export issues
The API now correctly displays trade details matching user investment intentions.
FIXES:
- Enhanced signalAnalysisCycleComplete with more intelligent cleanup logic
- Added active session detection to avoid killing processes during analysis
- Implemented graceful shutdown (SIGTERM) before force kill (SIGKILL)
- Only kills processes older than 2 minutes to avoid disrupting active analysis
- Added 10 second delay in runPostCycleCleanup to ensure trading decision is complete
- Improved process age filtering to prevent premature cleanup
- Cleanup now properly correlates with analysis completion + trading decision
- Reduced aggressive kills that were happening during active analysis
- Better CPU usage management through smarter process lifecycle
- Prevents cleanup from interfering with ongoing analysis work
This should significantly reduce the zombie process CPU usage issue by ensuring
cleanup only happens when analysis work is truly complete and decisions are finalized.
- Moved cleanup trigger from analysis phase to complete automation cycle
- Cleanup now runs after trading decision is made (enter/hold/exit)
- Added comprehensive post-cycle cleanup that waits for graceful shutdown
- Enhanced cleanup coordination with analysis cycle completion signals
- Force cleanup after complete cycle to ensure all zombie processes are killed
- Added cleanup triggers for all cycle outcomes (trade executed, no opportunity, error, etc.)
- Improved timing to wait for browser processes to close properly
- Better correlation between analysis completion and process cleanup
CRITICAL BUG FIX: Cleanup process was interfering with active analysis sessions
- Aggressive cleanup was running during active analysis, causing navigation failures
- Progress tracking was not properly coordinated with cleanup system
- No session state checking before process termination
1. AUTOMATION SERVICE COORDINATION:
- Added proper progress tracking to automation cycles
- Created unique session IDs for each analysis run
- Integrated with progressTracker for session state management
- Added post-analysis cleanup triggers with proper timing
2. ENHANCED CLEANUP INTELLIGENCE:
- Improved session checking with detailed logging of active sessions
- Added process age filtering in development mode (only kill >5min old processes)
- Better error handling when progress tracker import fails
- More granular cleanup control with session state awareness
3. TIMING IMPROVEMENTS:
- Post-analysis cleanup now waits for session completion
- Added proper delays between analysis phases
- Implemented graceful cleanup deferral when sessions are active
- Added delayed cleanup fallback for stuck sessions
4. DEVELOPMENT MODE SAFETY:
- Gentler SIGTERM → SIGKILL progression for development
- Only clean processes older than 5 minutes during dev
- Better logging of process age and cleanup decisions
- Safer fallback behavior when session tracking fails
This resolves the 'Failed to navigate to layout' errors by ensuring cleanup
doesn't interfere with active browser sessions during analysis.
- Enhanced frontend trade display with comprehensive analysis details
* Added trigger analysis showing original trade signals and confidence
* Added current metrics for active trades (P&L, time in trade, price changes)
* Added exit analysis for completed trades (accuracy, actual vs expected R/R)
* Added detailed trade context explaining analysis-trade relationships
- Fixed automation session persistence after server restarts
* Modified getStatus() to check database first instead of in-memory state
* Added auto-restart functionality when active session exists but automation stopped
* Improved session tracking and state management
- Enhanced API response structure
* Added triggerAnalysis, currentMetrics, exitMetrics to trade objects
* Added analysisContext explaining signal changes (BUY → HOLD scenarios)
* Added comprehensive trade quality assessment and performance tracking
Features:
Detailed analysis-trade correlation display
Real-time P&L tracking for active trades
Analysis accuracy assessment for completed trades
Automation session persistence across server restarts
Enhanced trade information with meaningful context
- Fixed foreign key constraint violation in automation service
- Added user upsert to ensure user exists before creating automation session
- Enhanced error reporting in automation start API
- Added comprehensive AI learning system documentation
- Automation now starts successfully in simulation mode
