feat: enhance paper trading with comprehensive AI analysis and learning insights

New Features:
- 📊 Detailed Market Analysis Panel (similar to pro trading interface)
  * Market sentiment, recommendation, resistance/support levels
  * Detailed trading setup with entry/exit points
  * Risk management with R:R ratios and confirmation triggers
  * Technical indicators (RSI, OBV, VWAP) analysis

- 🧠 AI Learning Insights Panel
  * Real-time learning status and success rates
  * Winner/Loser trade outcome tracking
  * AI reflection messages explaining what was learned
  * Current thresholds and pattern recognition data

- 🔮 AI Database Integration
  * Shows what AI learned from previous trades
  * Current confidence thresholds and risk parameters
  * Pattern recognition for symbol/timeframe combinations
  * Next trade adjustments based on learning

- 🎓 Intelligent Learning from Outcomes
  * Automatic trade outcome analysis (winner/loser)
  * AI generates learning insights from each trade result
  * Confidence adjustment based on trade performance
  * Pattern reinforcement or correction based on results

- Beautiful gradient panels with color-coded sections
- Clear winner/loser indicators with visual feedback
- Expandable detailed analysis view
- Real-time learning progress tracking

- Completely isolated paper trading (no real money risk)
- Real market data integration for authentic learning
- Safe practice environment with professional analysis tools

This provides a complete AI learning trading simulation where users can:
1. Get real market analysis with detailed reasoning
2. Execute safe paper trades with zero risk
3. See immediate feedback on trade outcomes
4. Learn from AI reflections and insights
5. Understand how AI adapts and improves over time
This commit is contained in:
mindesbunister
2025-08-02 17:56:02 +02:00
parent 33690f51fa
commit 416f72181e
28 changed files with 4665 additions and 45 deletions

View File

@@ -10,6 +10,16 @@ export async function POST(request) {
const body = await request.json()
console.log('🔍 Enhanced Screenshot API request:', body)
// PAPER_TRADING PROTECTION: Block requests that could trigger automation
if (body.paperTrading || body.enhancedPrompts) {
console.log('🚨 PAPER_TRADING PROTECTION: Blocking request that could trigger automation')
return NextResponse.json({
success: false,
error: 'PAPER_TRADING_BLOCK: This API cannot be used from paper trading to prevent real trade execution',
safety: true
}, { status: 403 })
}
const config = {
symbol: body.symbol || 'SOLUSD',
timeframe: body.timeframe || '240',
@@ -140,14 +150,25 @@ export async function POST(request) {
} finally {
// CRITICAL: Always run cleanup in finally block
console.log('🧹 FINALLY BLOCK: Running superior screenshot service cleanup...')
console.log('🧹 FINALLY BLOCK: Running screenshot service cleanup...')
try {
// Force cleanup all browser sessions (API-managed, no action needed)
await superiorScreenshotService.cleanup()
console.log('✅ FINALLY BLOCK: Superior screenshot service cleanup completed')
// Import aggressive cleanup for browser process cleanup
const aggressiveCleanup = (await import('../../../lib/aggressive-cleanup')).default
await aggressiveCleanup.forceCleanup()
console.log('✅ FINALLY BLOCK: Aggressive cleanup completed')
// Also run aggressive cleanup to ensure no processes remain
// Also run process cleanup to ensure no orphaned browsers
const { exec } = await import('child_process')
const { promisify } = await import('util')
const execAsync = promisify(exec)
try {
await execAsync('pkill -f "chromium|chrome" || true')
console.log('✅ FINALLY BLOCK: Browser process cleanup completed')
} catch (cleanupError) {
console.log('⚠️ FINALLY BLOCK: Browser process cleanup had minor issues:', cleanupError.message)
}
const { automatedCleanupService } = await import('../../../lib/automated-cleanup-service')
await automatedCleanupService.forceCleanup()
console.log('✅ FINALLY BLOCK: Automated cleanup completed')