416f72181e
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
126 lines
3.7 KiB
JavaScript
126 lines
3.7 KiB
JavaScript
import { NextResponse } from 'next/server'
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export async function GET() {
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try {
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console.log('🚀 Starting analysis-details API call...')
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// Return mock data structure that matches what the automation page expects
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const analysisData = {
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success: true,
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data: {
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// Analysis details for the main display
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symbol: 'SOLUSD',
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recommendation: 'HOLD',
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confidence: 75,
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reasoning: 'Market conditions are neutral. No clear trend direction detected across timeframes.',
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// Multi-timeframe analysis
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timeframes: [
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{
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timeframe: '4h',
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sessionId: 'session_4h_' + Date.now(),
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totalTrades: 12,
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winRate: 66.7,
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totalPnL: 45.30
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},
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{
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timeframe: '1h',
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sessionId: 'session_1h_' + Date.now(),
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totalTrades: 8,
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winRate: 62.5,
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totalPnL: 23.15
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}
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],
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// Recent trades data
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recentTrades: [
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{
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id: 'trade_' + Date.now(),
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timestamp: new Date(Date.now() - 3600000).toISOString(),
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symbol: 'SOLUSD',
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side: 'BUY',
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entryPrice: 175.50,
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exitPrice: 177.25,
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pnl: 12.50,
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outcome: 'WIN',
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confidence: 80,
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reasoning: 'Strong support bounce with volume confirmation'
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},
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{
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id: 'trade_' + (Date.now() - 1),
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timestamp: new Date(Date.now() - 7200000).toISOString(),
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symbol: 'SOLUSD',
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side: 'SELL',
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entryPrice: 178.00,
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exitPrice: 176.75,
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pnl: 8.75,
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outcome: 'WIN',
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confidence: 75,
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reasoning: 'Resistance rejection with bearish momentum'
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}
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],
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// AI Learning status
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aiLearningStatus: {
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isActive: false,
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systemConfidence: 72,
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totalDecisions: 45,
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successRate: 64.4,
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strengths: [
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'Strong momentum detection',
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'Good entry timing on reversals',
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'Effective risk management'
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],
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weaknesses: [
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'Needs improvement in ranging markets',
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'Could better identify false breakouts'
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],
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recentInsights: [
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'Better performance on 4H timeframe',
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'High win rate on reversal trades'
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]
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},
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// Current trade entry details
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entry: {
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price: 176.25,
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buffer: "±0.25",
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rationale: "Current market level"
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},
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stopLoss: {
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price: 174.50,
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rationale: "Technical support level"
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},
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takeProfits: {
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tp1: { price: 178.00, description: "First resistance target" },
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tp2: { price: 179.50, description: "Extended target" }
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},
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// Metadata
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layoutsAnalyzed: ["AI Layout", "DIY Layout"],
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timestamp: new Date().toISOString(),
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processingTime: "~2.5 minutes",
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analysisDetails: {
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screenshotsCaptured: 2,
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layoutsAnalyzed: 2,
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timeframesAnalyzed: 2,
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aiTokensUsed: "~4000 tokens",
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analysisStartTime: new Date(Date.now() - 150000).toISOString(),
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analysisEndTime: new Date().toISOString()
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}
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}
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}
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console.log('✅ Analysis details prepared successfully')
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return NextResponse.json(analysisData)
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} catch (error) {
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console.error('❌ Error in analysis-details API:', error)
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return NextResponse.json({
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success: false,
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error: 'Failed to fetch analysis details',
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details: error.message
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}, { status: 500 })
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}
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}
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