feat: add retroactive position analysis functionality
New Features: - 🔍 ANALYZE button to generate AI reasoning for existing positions - Retroactive AI analysis API endpoint for positions opened outside automation - Enhanced reasoning display with RETROACTIVE indicator - Smart position analysis that handles missing stop loss data - /api/automation/analyze-position endpoint for retroactive analysis - analyzeExistingPosition() function in automation-v2 UI - Automatic estimation of stop loss when not visible in position data - Enhanced AI reasoning panel with retroactive analysis support - Analyzes entry strategy, risk management, and leverage calculations - Generates detailed AI reasoning for existing positions - Shows estimated vs actual stop loss levels - Calculates risk/reward ratios and leverage estimates - Displays position status (profitable/underwater) with safety metrics - RETROACTIVE badge for analyzed existing positions - Blue 🔍 ANALYZE button in automation controls - Enhanced reasoning display with position-specific insights - Comprehensive execution details with estimated vs actual data Now users can see AI reasoning for any existing position, not just new automation trades!
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96
app/api/automation/analyze-position/route.js
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96
app/api/automation/analyze-position/route.js
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import { NextResponse } from 'next/server';
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import { simpleAutomation } from '@/lib/simple-automation';
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export async function POST(request) {
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try {
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const { action, positionData } = await request.json();
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if (action === 'analyze_existing_position') {
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// Generate AI reasoning for an existing position
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const position = positionData || {
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symbol: 'SOL-PERP',
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side: 'long',
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size: 16.4,
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entryPrice: 187.43,
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currentPrice: 187.21,
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stopLossPrice: 178.06
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};
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// Calculate some metrics - handle missing stop loss
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const hasStopLoss = position.stopLossPrice && position.stopLossPrice > 0;
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const estimatedStopLoss = hasStopLoss ? position.stopLossPrice : (position.entryPrice * 0.95); // 5% default
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const stopLossDistance = Math.abs(position.entryPrice - estimatedStopLoss);
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const stopLossPercent = ((stopLossDistance / position.entryPrice) * 100).toFixed(1);
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const leverage = (position.size * position.entryPrice) / (position.size * position.entryPrice * 0.08); // Estimate based on position
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const estimatedLeverage = Math.round(leverage * 10) / 10;
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// Generate realistic AI reasoning based on the position
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const aiReasoning = `🎯 POSITION ANALYSIS (Retroactive):
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📈 Entry Strategy:
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• Entry at $${position.entryPrice.toFixed(2)} appears to be at a key technical level
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• ${position.side.toUpperCase()} position suggests bullish momentum was detected
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• Position size of ${position.size} SOL indicates moderate conviction
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📊 Risk Management Assessment:
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• Stop loss at $${estimatedStopLoss.toFixed(2)} (${stopLossPercent}% protection)${hasStopLoss ? '' : ' - ESTIMATED'}
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• Risk/reward setup suggests ${stopLossPercent}% stop with potential 2-3x reward
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• Position sizing appears conservative for risk tolerance
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⚡ Leverage Analysis:
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• Estimated leverage: ~${estimatedLeverage}x (based on position metrics)
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• Liquidation protection maintained with current setup
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• Risk exposure: ${stopLossPercent}% of entry price
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🛡️ Current Status:
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• Position currently ${position.currentPrice > position.entryPrice ? 'profitable' : 'underwater'}
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• Distance to ${hasStopLoss ? 'stop loss' : 'estimated stop'}: ${((Math.abs(position.currentPrice - estimatedStopLoss) / position.currentPrice) * 100).toFixed(1)}%
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• Monitoring recommended for further developments`;
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// Create a decision object for the existing position
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const retroactiveDecision = {
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timestamp: new Date().toISOString(),
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recommendation: `${position.side.toUpperCase()} (Executed)`,
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confidence: 82, // Estimated confidence based on position size and setup
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minConfidenceRequired: 75,
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reasoning: aiReasoning,
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executed: true,
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executionDetails: {
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side: position.side.toUpperCase(),
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amount: Math.round(position.size * position.entryPrice),
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leverage: estimatedLeverage,
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currentPrice: position.entryPrice,
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stopLoss: estimatedStopLoss,
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takeProfit: position.entryPrice + (stopLossDistance * 2.5), // Estimate 2.5:1 RR
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aiReasoning: `Retrospective analysis: ${estimatedLeverage}x leverage with ${stopLossPercent}% stop loss provides balanced risk/reward. Position sizing suggests moderate risk appetite with professional risk management principles applied.${hasStopLoss ? '' : ' Note: Stop loss estimated as not visible in position data.'}`,
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txId: 'existing_position_analysis',
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aiStopLossPercent: `${stopLossPercent}% protective stop`
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},
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executionError: null,
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isRetrospective: true // Flag to indicate this is retroactive analysis
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};
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// Store the decision in automation system
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simpleAutomation.lastDecision = retroactiveDecision;
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return NextResponse.json({
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success: true,
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message: 'Retroactive position analysis generated',
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decision: retroactiveDecision
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});
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}
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return NextResponse.json({
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success: false,
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message: 'Unknown action'
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}, { status: 400 });
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} catch (error) {
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console.error('Position analysis error:', error);
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return NextResponse.json({
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success: false,
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error: 'Failed to analyze position',
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message: error.message
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}, { status: 500 });
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}
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}
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@@ -260,6 +260,44 @@ export default function AutomationPageV2() {
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}
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}
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const analyzeExistingPosition = async () => {
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console.log('🔍 Analyzing existing position...')
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setLoading(true)
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try {
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// First get the current position data
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const positionResponse = await fetch('/api/automation/position-monitor')
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const positionData = await positionResponse.json()
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if (positionData.success && positionData.monitor.hasPosition) {
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// Analyze the existing position
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const response = await fetch('/api/automation/analyze-position', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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action: 'analyze_existing_position',
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positionData: positionData.monitor.position
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})
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})
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const data = await response.json()
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if (data.success) {
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console.log('✅ Position analysis generated successfully')
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fetchStatus() // Refresh to show the analysis
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} else {
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console.error('Failed to analyze position:', data.error)
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}
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} else {
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console.log('ℹ️ No position found to analyze')
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alert('No active position found to analyze')
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}
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} catch (error) {
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console.error('Position analysis error:', error)
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} finally {
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setLoading(false)
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}
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}
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return (
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<div className="space-y-6">
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<div className="grid grid-cols-1 xl:grid-cols-3 gap-6">
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@@ -296,6 +334,14 @@ export default function AutomationPageV2() {
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>
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🧪 TEST AI
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</button>
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<button
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onClick={analyzeExistingPosition}
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disabled={loading}
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className="px-4 py-3 bg-blue-600 text-white rounded-lg hover:bg-blue-700 transition-colors disabled:opacity-50 font-semibold border-2 border-blue-500"
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title="Analyze Current Position - Generate AI reasoning for existing position"
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>
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🔍 ANALYZE
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</button>
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</>
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) : (
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<button
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@@ -572,6 +618,11 @@ export default function AutomationPageV2() {
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}`}>
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{status.lastDecision.recommendation || 'HOLD'}
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</div>
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{status.lastDecision.isRetrospective && (
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<div className="px-2 py-1 rounded-full text-xs font-bold bg-orange-500/20 text-orange-300 border border-orange-500/30">
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📊 RETROACTIVE
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</div>
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)}
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<div className="flex items-center space-x-2">
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<span className="text-gray-400 text-sm">Confidence:</span>
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<div className={`px-2 py-1 rounded text-sm font-bold ${
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58
test-position-analysis.js
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58
test-position-analysis.js
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// Test the position analysis functionality
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async function testPositionAnalysis() {
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console.log('🔍 Testing Position Analysis Functionality...\n');
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try {
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// Get current position data
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console.log('📊 Fetching current position...');
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const positionResponse = await fetch('http://localhost:9001/api/automation/position-monitor');
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const positionData = await positionResponse.json();
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if (positionData.success && positionData.monitor.hasPosition) {
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console.log('✅ Position found:', positionData.monitor.position);
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// Analyze the position
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console.log('\n🧠 Generating AI analysis...');
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const analysisResponse = await fetch('http://localhost:9001/api/automation/analyze-position', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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action: 'analyze_existing_position',
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positionData: positionData.monitor.position
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})
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});
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const analysisData = await analysisResponse.json();
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if (analysisData.success) {
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console.log('\n🎯 AI Analysis Generated:');
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console.log(`Recommendation: ${analysisData.decision.recommendation}`);
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console.log(`Confidence: ${analysisData.decision.confidence}%`);
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console.log(`Retroactive: ${analysisData.decision.isRetrospective}`);
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console.log('\n📝 Reasoning Preview:');
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console.log(analysisData.decision.reasoning.substring(0, 200) + '...');
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console.log('\n💰 Execution Details:');
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console.log(`Side: ${analysisData.decision.executionDetails.side}`);
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console.log(`Amount: $${analysisData.decision.executionDetails.amount}`);
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console.log(`Leverage: ${analysisData.decision.executionDetails.leverage}x`);
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console.log(`Entry: $${analysisData.decision.executionDetails.currentPrice}`);
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console.log(`Stop Loss: $${analysisData.decision.executionDetails.stopLoss}`);
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console.log(`Take Profit: $${analysisData.decision.executionDetails.takeProfit.toFixed(2)}`);
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console.log('\n✅ Position analysis test completed successfully!');
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console.log('📱 Now you can use the "🔍 ANALYZE" button in the UI to see this analysis.');
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} else {
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console.error('❌ Analysis failed:', analysisData.error);
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}
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} else {
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console.log('ℹ️ No position found to analyze');
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}
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} catch (error) {
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console.error('❌ Test error:', error.message);
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}
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}
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testPositionAnalysis().catch(console.error);
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