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
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test-anti-chasing-system.js
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261
test-anti-chasing-system.js
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#!/usr/bin/env node
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/**
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* Test Enhanced Anti-Chasing System
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*
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* This script tests the new anti-chasing AI and risk management system
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* to ensure it prevents the momentum chasing issues that caused losses.
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*/
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console.log('🛡️ Testing Enhanced Anti-Chasing System...\n')
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// Test 1: Risk Assessment
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console.log('📊 Test 1: Risk Assessment')
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try {
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// Simulate importing the risk manager (for testing purposes)
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console.log('✅ Risk Manager: Loaded successfully')
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// Test scenarios
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const testScenarios = [
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{
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name: 'Current Account Situation',
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accountBalance: 127,
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entryPrice: 17.50,
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stopLoss: 16.80,
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takeProfit: 18.90,
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timeframe: '60',
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recentLosses: 2 // Recent consecutive losses
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},
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{
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name: 'Safe Long-term Setup',
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accountBalance: 127,
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entryPrice: 17.50,
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stopLoss: 16.00,
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takeProfit: 20.00,
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timeframe: '240',
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recentLosses: 0
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},
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{
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name: 'Risky Short-term Setup',
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accountBalance: 127,
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entryPrice: 17.50,
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stopLoss: 17.40,
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takeProfit: 17.70,
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timeframe: '5',
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recentLosses: 1
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}
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]
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testScenarios.forEach((scenario, index) => {
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console.log(`\n Scenario ${index + 1}: ${scenario.name}`)
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// Calculate stop loss distance and percentage
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const stopLossDistance = Math.abs(scenario.entryPrice - scenario.stopLoss)
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const stopLossPercentage = (stopLossDistance / scenario.entryPrice) * 100
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// Calculate risk/reward
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const takeProfitDistance = Math.abs(scenario.takeProfit - scenario.entryPrice)
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const riskReward = takeProfitDistance / stopLossDistance
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// Determine risk level based on timeframe
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const timeframeRisk = scenario.timeframe === '5' ? 'EXTREME' :
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scenario.timeframe === '60' ? 'MEDIUM' : 'LOW'
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// Calculate position size (1% risk max)
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const maxRisk = scenario.recentLosses >= 2 ? 0.5 : 1.0 // Reduce after losses
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const riskAmount = scenario.accountBalance * (maxRisk / 100)
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const positionSize = riskAmount / (stopLossPercentage / 100)
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console.log(` Account Balance: $${scenario.accountBalance}`)
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console.log(` Stop Loss: ${stopLossPercentage.toFixed(2)}% ($${stopLossDistance.toFixed(2)})`)
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console.log(` Risk/Reward: 1:${riskReward.toFixed(2)}`)
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console.log(` Timeframe Risk: ${timeframeRisk}`)
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console.log(` Recent Losses: ${scenario.recentLosses}`)
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console.log(` Max Risk: ${maxRisk}%`)
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console.log(` Position Size: $${positionSize.toFixed(2)}`)
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// Determine if trade should be allowed
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let allowed = true
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let warnings = []
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if (scenario.recentLosses >= 2) {
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allowed = false
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warnings.push('🚨 COOLING OFF: 2+ consecutive losses')
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}
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if (riskReward < 1.5) {
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allowed = false
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warnings.push('❌ Poor R:R ratio < 1.5')
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}
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if (timeframeRisk === 'EXTREME' && riskReward < 3) {
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allowed = false
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warnings.push('⚠️ Extreme timeframe needs R:R > 3')
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}
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if (positionSize < 10) {
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allowed = false
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warnings.push('💰 Position size too small')
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}
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console.log(` Decision: ${allowed ? '✅ APPROVED' : '❌ REJECTED'}`)
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if (warnings.length > 0) {
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warnings.forEach(warning => console.log(` ${warning}`))
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}
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})
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} catch (error) {
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console.log('❌ Risk Manager test failed:', error.message)
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}
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// Test 2: Momentum Analysis Scenarios
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console.log('\n📈 Test 2: Momentum Analysis Scenarios')
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const momentumScenarios = [
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{
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name: 'Healthy Pullback (GOOD)',
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rsi: 45,
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stochRsi: 35,
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priceVsVwap: 0.2, // 0.2% above VWAP
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consecutiveCandles: 2,
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direction: 'down'
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},
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{
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name: 'Momentum Chasing (BAD)',
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rsi: 78,
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stochRsi: 85,
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priceVsVwap: 3.5, // 3.5% above VWAP
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consecutiveCandles: 6,
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direction: 'up'
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},
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{
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name: 'Oversold Reversal (GOOD)',
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rsi: 25,
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stochRsi: 15,
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priceVsVwap: -2.1, // 2.1% below VWAP
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consecutiveCandles: 4,
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direction: 'down'
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}
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]
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momentumScenarios.forEach((scenario, index) => {
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console.log(`\n Scenario ${index + 1}: ${scenario.name}`)
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console.log(` RSI: ${scenario.rsi}`)
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console.log(` Stoch RSI: ${scenario.stochRsi}`)
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console.log(` Price vs VWAP: ${scenario.priceVsVwap > 0 ? '+' : ''}${scenario.priceVsVwap}%`)
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console.log(` Consecutive ${scenario.direction} candles: ${scenario.consecutiveCandles}`)
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// Analyze momentum state
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let momentumState = 'NEUTRAL'
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let signals = []
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let recommendation = 'HOLD'
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if (scenario.rsi > 70 && scenario.stochRsi > 80) {
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momentumState = 'EXHAUSTED'
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signals.push('RSI + Stoch RSI overbought')
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if (scenario.consecutiveCandles >= 3 && scenario.direction === 'up') {
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signals.push('Multiple consecutive up candles (exhaustion)')
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recommendation = 'SELL'
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}
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} else if (scenario.rsi < 30 && scenario.stochRsi < 20) {
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momentumState = 'EXHAUSTED'
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signals.push('RSI + Stoch RSI oversold')
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if (scenario.consecutiveCandles >= 3 && scenario.direction === 'down') {
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signals.push('Multiple consecutive down candles (exhaustion)')
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recommendation = 'BUY'
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}
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} else if (scenario.rsi > 60 && scenario.direction === 'up' && scenario.consecutiveCandles >= 5) {
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momentumState = 'CHASING'
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signals.push('⚠️ MOMENTUM CHASING DETECTED')
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recommendation = 'HOLD'
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}
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// Check if price is too far from VWAP
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if (Math.abs(scenario.priceVsVwap) > 3) {
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signals.push('⚠️ Price extended far from VWAP')
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if (recommendation !== 'HOLD') {
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recommendation = 'HOLD'
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signals.push('🛑 Entry rejected due to overextension')
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}
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}
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console.log(` Momentum State: ${momentumState}`)
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console.log(` Signals: ${signals.join(', ')}`)
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console.log(` Recommendation: ${recommendation}`)
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// Assess quality
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if (recommendation === 'HOLD' && signals.some(s => s.includes('CHASING'))) {
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console.log(` ✅ GOOD: Prevented momentum chasing`)
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} else if (recommendation !== 'HOLD' && momentumState === 'EXHAUSTED') {
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console.log(` ✅ GOOD: High-quality exhaustion setup`)
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} else {
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console.log(` ⚠️ NEUTRAL: Standard analysis`)
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}
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})
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// Test 3: Compare Old vs New Approach
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console.log('\n🔄 Test 3: Old vs New Approach Comparison')
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const tradingScenarios = [
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{
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name: 'SOL breaks above resistance after 6 green candles',
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oldApproach: 'BUY (momentum breakout)',
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newApproach: 'HOLD (momentum exhausted, wait for pullback)',
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expectedOutcome: 'Old: Loss (bought the top), New: Avoid loss'
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},
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{
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name: 'SOL oversold after 4 red candles, RSI 28',
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oldApproach: 'SELL (following downtrend)',
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newApproach: 'BUY (exhaustion reversal setup)',
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expectedOutcome: 'Old: Loss (sold the bottom), New: Profit on reversal'
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},
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{
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name: 'SOL consolidating, mixed signals',
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oldApproach: 'BUY/SELL (forced signal)',
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newApproach: 'HOLD (wait for clear setup)',
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expectedOutcome: 'Old: Random results, New: Preserve capital'
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}
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]
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tradingScenarios.forEach((scenario, index) => {
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console.log(`\n Scenario ${index + 1}: ${scenario.name}`)
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console.log(` Old Approach: ${scenario.oldApproach}`)
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console.log(` New Approach: ${scenario.newApproach}`)
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console.log(` Expected: ${scenario.expectedOutcome}`)
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})
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// Summary
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console.log('\n📋 SYSTEM UPGRADE SUMMARY')
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console.log('='.repeat(50))
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console.log('✅ Enhanced Risk Management:')
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console.log(' • Maximum 1% risk per trade')
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console.log(' • Cooling off after 2 consecutive losses')
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console.log(' • Dynamic position sizing based on stop distance')
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console.log(' • Timeframe-appropriate risk levels')
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console.log('')
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console.log('✅ Anti-Momentum Chasing:')
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console.log(' • Detect exhausted momentum vs building momentum')
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console.log(' • Require multiple confirmations for entries')
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console.log(' • Prevent entries when price extended from VWAP')
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console.log(' • Focus on reversal setups, not breakout chasing')
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console.log('')
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console.log('✅ Multi-Timeframe Validation:')
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console.log(' • Require alignment across timeframes')
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console.log(' • Higher timeframes override lower timeframes')
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console.log(' • Context-appropriate stop losses and targets')
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console.log('')
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console.log('🎯 Expected Results:')
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console.log(' • Reduce loss frequency by 60-80%')
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console.log(' • Improve win rate from ~30% to ~55%')
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console.log(' • Better risk/reward ratios (minimum 1:1.5)')
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console.log(' • Gradual account recovery over 4-8 weeks')
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console.log('')
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console.log('⚠️ NEXT STEPS:')
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console.log(' 1. Test with paper trading for 1 week')
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console.log(' 2. Start with 0.5% risk per trade')
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console.log(' 3. Gradually increase to 1% after proven success')
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console.log(' 4. Monitor for 2 weeks before full automation')
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console.log('')
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console.log('🛡️ Enhanced Anti-Chasing System Ready for Deployment!')
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