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
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mindesbunister
186
investigate-paper-trading-bug.js
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186
investigate-paper-trading-bug.js
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#!/usr/bin/env node
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// CRITICAL BUG INVESTIGATION - Paper Trading → Real Trading
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console.log('🔍 CRITICAL BUG INVESTIGATION');
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console.log('='.repeat(60));
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console.log('Issue: Paper trading executed REAL trade');
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console.log('Impact: SHORT SOL-PERP 0.03 @ $164.781 with NO STOP LOSS');
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console.log('');
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const fs = require('fs');
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const path = require('path');
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async function investigateBug() {
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console.log('📋 INVESTIGATION CHECKLIST:');
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console.log('='.repeat(40));
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// 1. Check paper trading page for any real API calls
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console.log('1️⃣ Examining Paper Trading Page...');
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try {
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const paperTradingPath = './app/paper-trading/page.js';
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const paperContent = fs.readFileSync(paperTradingPath, 'utf8');
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// Look for suspicious API calls
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const suspiciousPatterns = [
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'/api/trading',
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'/api/drift/place-order',
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'/api/automation/start',
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'executeTrade',
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'realTrade',
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'liveTrade'
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];
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let foundSuspiciousAPIs = [];
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suspiciousPatterns.forEach(pattern => {
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if (paperContent.includes(pattern)) {
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foundSuspiciousAPIs.push(pattern);
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}
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});
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if (foundSuspiciousAPIs.length > 0) {
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console.log(' 🚨 FOUND SUSPICIOUS APIs IN PAPER TRADING:');
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foundSuspiciousAPIs.forEach(api => {
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console.log(` - ${api}`);
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});
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} else {
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console.log(' ✅ No direct live trading APIs found in paper trading page');
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}
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// Check for analysis that might trigger automation
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if (paperContent.includes('runEnhancedAnalysis')) {
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console.log(' ⚠️ Found runEnhancedAnalysis - checking what it calls...');
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}
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} catch (error) {
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console.log(' ❌ Failed to read paper trading page:', error.message);
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}
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// 2. Check what runEnhancedAnalysis actually calls
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console.log('\n2️⃣ Examining Enhanced Analysis Workflow...');
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try {
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const paperContent = fs.readFileSync('./app/paper-trading/page.js', 'utf8');
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// Extract runEnhancedAnalysis function
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const analysisMatch = paperContent.match(/const runEnhancedAnalysis[\s\S]*?(?=\n const)/);
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if (analysisMatch) {
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const analysisFunction = analysisMatch[0];
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// Check what API it calls
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if (analysisFunction.includes('/api/enhanced-screenshot')) {
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console.log(' 📡 Calls: /api/enhanced-screenshot');
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if (analysisFunction.includes('analyze: true')) {
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console.log(' ⚠️ Analysis enabled - this triggers AI analysis');
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console.log(' 🔍 Need to check if enhanced-screenshot triggers automation');
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}
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}
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if (analysisFunction.includes('/api/enhanced-ai-analysis')) {
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console.log(' 📡 Calls: /api/enhanced-ai-analysis');
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}
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// Check for any trade execution
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if (analysisFunction.includes('executeTrade') || analysisFunction.includes('trading')) {
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console.log(' 🚨 FOUND TRADE EXECUTION IN ANALYSIS!');
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} else {
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console.log(' ✅ No direct trade execution in analysis function');
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}
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}
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} catch (error) {
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console.log(' ❌ Failed to analyze enhanced analysis:', error.message);
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}
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// 3. Check enhanced-screenshot API for automation triggers
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console.log('\n3️⃣ Checking Enhanced Screenshot API...');
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try {
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const screenshotAPIPath = './app/api/enhanced-screenshot/route.js';
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if (fs.existsSync(screenshotAPIPath)) {
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const screenshotContent = fs.readFileSync(screenshotAPIPath, 'utf8');
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const automationTriggers = [
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'automation',
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'executeTrade',
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'trading',
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'drift',
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'position'
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];
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let foundTriggers = [];
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automationTriggers.forEach(trigger => {
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if (screenshotContent.toLowerCase().includes(trigger)) {
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foundTriggers.push(trigger);
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}
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});
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if (foundTriggers.length > 0) {
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console.log(' 🚨 FOUND AUTOMATION TRIGGERS IN SCREENSHOT API:');
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foundTriggers.forEach(trigger => {
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console.log(` - ${trigger}`);
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});
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} else {
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console.log(' ✅ No automation triggers in screenshot API');
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}
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}
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} catch (error) {
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console.log(' ❌ Failed to check screenshot API:', error.message);
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}
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// 4. Check for any background automation services
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console.log('\n4️⃣ Checking for Background Automation...');
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const automationFiles = [
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'./lib/simple-automation.js',
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'./lib/auto-trading-service.ts',
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'./lib/enhanced-autonomous-risk-manager.js'
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];
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automationFiles.forEach(file => {
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if (fs.existsSync(file)) {
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console.log(` 📄 Found: ${file}`);
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try {
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const content = fs.readFileSync(file, 'utf8');
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if (content.includes('isRunning = true') || content.includes('this.isRunning = true')) {
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console.log(` ⚠️ ${file} might be running automation`);
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}
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} catch (e) {
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console.log(` ❌ Failed to read ${file}`);
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}
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}
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});
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// 5. Check analysis APIs that might trigger automation
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console.log('\n5️⃣ Checking Analysis APIs...');
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const analysisAPIs = [
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'./app/api/ai-analysis/latest/route.js',
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'./app/api/enhanced-ai-analysis/route.js'
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];
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analysisAPIs.forEach(apiFile => {
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if (fs.existsSync(apiFile)) {
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console.log(` 📄 Found: ${apiFile}`);
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try {
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const content = fs.readFileSync(apiFile, 'utf8');
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if (content.includes('executeTrade') || content.includes('automation')) {
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console.log(` 🚨 ${apiFile} might execute trades!`);
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}
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} catch (e) {
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console.log(` ❌ Failed to read ${apiFile}`);
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}
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}
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});
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console.log('\n📋 INVESTIGATION SUMMARY:');
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console.log('='.repeat(40));
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console.log('✅ Container stopped - no more trades possible');
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console.log('🔍 Need to identify exact execution path');
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console.log('🛠️ Will create fixed paper trading system');
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console.log('🛡️ Will add safeguards to prevent this bug');
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console.log('\n🎯 NEXT STEPS:');
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console.log('1. Create truly isolated paper trading system');
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console.log('2. Add explicit paper mode flags');
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console.log('3. Block all real trading APIs in paper mode');
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console.log('4. Add safety checks and confirmations');
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console.log('5. Test thoroughly before restarting');
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}
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investigateBug().catch(console.error);
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