- Fixed Prisma schema: Added @default(cuid()) to ai_learning_data.id field
- Fixed all updatedAt fields: Added @updatedAt decorators across all models
- Enhanced position-aware automation with intelligent DCA/doubling down logic
- Added safe automation starter script with position awareness
- Resolved 'Argument id is missing' database creation errors
- All AI learning data can now be created without Prisma errors
Database schema now properly auto-generates IDs and timestamps for:
- ai_learning_data records
- All model updatedAt fields
- Prevents Enhanced Risk Manager database failures
LEARNING INTEGRATION:
- Enhanced AI analysis service feeds historical data into OpenAI prompts
- Symbol/timeframe specific learning optimization
- Pattern recognition from past trade outcomes
- Confidence adjustment based on success rates
HTTP COMPATIBILITY SYSTEM:
- HttpUtil with automatic curl/no-curl detection
- Node.js fallback for Docker environments without curl
- Updated all automation systems to use HttpUtil
- Production-ready error handling
AUTONOMOUS RISK MANAGEMENT:
- Enhanced risk manager with learning integration
- Simplified learners using existing AILearningData schema
- Real-time position monitoring every 30 seconds
- Smart stop-loss decisions with AI learning
INFRASTRUCTURE:
- Database utility for shared Prisma connections
- Beach mode status display system
- Complete error handling and recovery
- Docker container compatibility tested
Historical performance flows into OpenAI prompts before every trade.
AI-powered DCA manager with sophisticated reversal detection
Multi-factor analysis: price movements, RSI, support/resistance, 24h trends
Real example: SOL position analysis shows 5.2:1 risk/reward improvement
lib/ai-dca-manager.ts - Complete DCA analysis engine with risk management
Intelligent scaling: adds to positions when AI detects 50%+ reversal confidence
Account-aware: uses up to 50% available balance with conservative 3x leverage
Dynamic SL/TP: adjusts stop loss and take profit for new average position
lib/automation-service-simple.ts - DCA monitoring in main trading cycle
prisma/schema.prisma - DCARecord model for comprehensive tracking
Checks DCA opportunities before new trade analysis (priority system)
test-ai-dca-simple.js - Real SOL position test from screenshot data
Entry: 85.98, Current: 83.87 (-1.13% underwater)
AI recommendation: 1.08 SOL DCA → 4.91 profit potential
Risk level: LOW with 407% liquidation safety margin
LOGIC
Price movement analysis: 1-10% against position optimal for DCA
Market sentiment: 24h trends must align with DCA direction
Technical indicators: RSI oversold (<35) for longs, overbought (>65) for shorts
Support/resistance: proximity to key levels increases confidence
Risk management: respects leverage limits and liquidation distances
Complete error handling and fallback mechanisms
Database persistence for DCA tracking and performance analysis
Seamless integration with existing AI leverage calculator
Real-time market data integration for accurate decision making
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.
