- Integrated SimplifiedStopLossLearner into automation - Every AI decision now recorded for learning (stop loss, take profit, confidence) - Trade outcomes tracked and compared to AI predictions - Learning patterns improve future AI decisions - Enhanced status dashboard with learning insights - Proper DCA: increase position size + adjust existing SL/TP (not create new) - AI-calculated optimal levels for scaled positions - Prevents order fragmentation (fixes 24+ order problem) - Unified risk management for entire scaled position TIMEFRAME-AWARE INTERVALS: - Scalping (5m/15m): 5-15 minute analysis intervals - Day Trading (1h/4h): 10-30 minute intervals - Swing Trading (4h/1d): 23-68 minute intervals - Perfect for 5-minute scalping with DCA protection - 2-hour DCA cooldown prevents order spam - Position existence checks before new trades - Direction matching validation - Learning-based decision improvements - AI calculates ALL levels (entry, SL, TP, leverage, scaling) - Every calculation recorded and learned from - Position scaling uses AI intelligence - Timeframe-appropriate analysis frequency - Professional order management - Continuous learning and improvement ADDRESSES ALL USER CONCERNS: - 5-minute scalping compatibility ✅ - Position scaling DCA (adjust existing SL/TP) ✅ - AI calculations being learned from ✅ - No order fragmentation ✅ - Intelligent automation with learning ✅ Files: automation, consolidation APIs, learning integration, tests, documentation
176 lines
7.6 KiB
JavaScript
176 lines
7.6 KiB
JavaScript
// Test the new timeframe-aware interval system using CommonJS
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// Direct class testing without module import
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class TestAutomation {
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constructor() {
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this.config = {};
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this.dcaCooldownHours = 2;
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this.lastDCATime = 0;
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}
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// Copy the methods from SimpleAutomation to test
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getTimeframeBasedIntervals() {
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const timeframes = this.getSelectedTimeframes();
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// Detect if this is scalping (5m, 15m, 30m)
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const isScalping = timeframes.some(tf => ['5', '5m', '15', '15m', '30', '30m'].includes(tf));
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const isDayTrading = timeframes.some(tf => ['60', '1h', '120', '2h'].includes(tf));
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const isSwingTrading = timeframes.some(tf => ['240', '4h', '1D', '1d'].includes(tf));
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if (isScalping) {
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console.log('🎯 SCALPING DETECTED: Using faster 10-minute intervals (was 30-90)');
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return 10 * 60 * 1000; // 10 minutes for scalping - fast enough for 5m charts
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} else if (isDayTrading) {
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console.log('⚡ DAY TRADING DETECTED: Using 20-minute intervals');
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return 20 * 60 * 1000; // 20 minutes for day trading
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} else if (isSwingTrading) {
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console.log('📈 SWING TRADING DETECTED: Using 45-minute intervals');
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return 45 * 60 * 1000; // 45 minutes for swing trading
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} else {
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// Unknown/mixed strategy - use moderate interval
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console.log('📊 MIXED STRATEGY: Using 30-minute intervals');
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return 30 * 60 * 1000; // 30 minutes default
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}
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}
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getSelectedTimeframes() {
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return this.config?.timeframes || this.config?.selectedTimeframes || this.selectedTimeframes || ['1h'];
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}
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detectStrategy() {
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const timeframes = this.getSelectedTimeframes();
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const isScalping = timeframes.some(tf => ['5', '5m', '15', '15m', '30', '30m'].includes(tf));
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const isDayTrading = timeframes.some(tf => ['60', '1h', '120', '2h'].includes(tf));
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const isSwingTrading = timeframes.some(tf => ['240', '4h', '1D', '1d'].includes(tf));
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if (isScalping) return 'Scalping';
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if (isDayTrading) return 'Day Trading';
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if (isSwingTrading) return 'Swing Trading';
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return 'Mixed';
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}
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getNextInterval(riskLevel = 'MEDIUM') {
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// Get timeframe-based intervals (scalping needs faster analysis)
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const baseInterval = this.getTimeframeBasedIntervals();
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// Risk-based multipliers for fine-tuning
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let riskMultiplier;
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switch (riskLevel) {
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case 'CRITICAL':
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riskMultiplier = 0.5; // 50% faster when critical (5min→2.5min for scalping)
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break;
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case 'HIGH':
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riskMultiplier = 0.7; // 30% faster when high risk (10min→7min for scalping)
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break;
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case 'MEDIUM':
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riskMultiplier = 1.0; // Normal speed
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break;
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case 'LOW':
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riskMultiplier = 1.5; // 50% slower when low risk
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break;
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case 'NONE':
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default:
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riskMultiplier = 1.0; // Normal speed when no position
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}
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const finalInterval = Math.round(baseInterval * riskMultiplier);
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const finalMinutes = finalInterval / (60 * 1000);
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console.log(`📊 Risk: ${riskLevel} | Strategy: ${this.detectStrategy()} | Interval: ${finalMinutes} min`);
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console.log(`⚡ Optimized for ${this.getSelectedTimeframes().join(',') || 'default'} timeframes`);
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return finalInterval;
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}
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}
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async function testTimeframeIntervals() {
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try {
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const automation = new TestAutomation();
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console.log('=== Testing Timeframe-Aware Interval System ===\n');
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// Test different timeframe scenarios
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const testScenarios = [
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{
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description: "Scalping Configuration (5m, 15m)",
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selectedTimeframes: ['5m', '15m'],
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riskLevels: ['CRITICAL', 'HIGH', 'MEDIUM', 'LOW', 'NONE']
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},
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{
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description: "Day Trading Configuration (1h, 4h)",
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selectedTimeframes: ['1h', '4h'],
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riskLevels: ['CRITICAL', 'HIGH', 'MEDIUM', 'LOW', 'NONE']
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},
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{
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description: "Swing Trading Configuration (4h, 1d)",
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selectedTimeframes: ['4h', '1d'],
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riskLevels: ['CRITICAL', 'HIGH', 'MEDIUM', 'LOW', 'NONE']
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},
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{
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description: "No Timeframes Selected (Default)",
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selectedTimeframes: [],
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riskLevels: ['MEDIUM']
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}
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];
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for (const scenario of testScenarios) {
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console.log(`📋 ${scenario.description}`);
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console.log(` Timeframes: ${scenario.selectedTimeframes.join(', ') || 'default'}`);
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// Mock the selected timeframes (in real app this comes from UI)
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automation.selectedTimeframes = scenario.selectedTimeframes;
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console.log(` Strategy: ${automation.detectStrategy()}`);
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console.log(` Base Interval: ${automation.getTimeframeBasedIntervals() / (60 * 1000)} minutes`);
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for (const riskLevel of scenario.riskLevels) {
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const interval = automation.getNextInterval(riskLevel);
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const minutes = Math.round(interval / (60 * 1000));
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console.log(` ${riskLevel.padEnd(8)}: ${minutes} minutes`);
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}
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console.log('');
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}
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// Test specific scalping scenario user asked about
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console.log('🎯 SPECIFIC TEST: 5-minute scalping compatibility');
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automation.selectedTimeframes = ['5m', '15m'];
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const scalping = automation.detectStrategy();
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const baseInterval = automation.getTimeframeBasedIntervals();
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const criticalInterval = automation.getNextInterval('CRITICAL');
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const normalInterval = automation.getNextInterval('MEDIUM');
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console.log(`Strategy Detected: ${scalping}`);
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console.log(`Base Interval: ${baseInterval / (60 * 1000)} minutes`);
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console.log(`Critical Risk: ${criticalInterval / (60 * 1000)} minutes (fastest for urgent situations)`);
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console.log(`Normal Risk: ${normalInterval / (60 * 1000)} minutes (standard scalping frequency)`);
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if (criticalInterval / (60 * 1000) <= 10 && normalInterval / (60 * 1000) <= 15) {
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console.log('✅ SUCCESS: Fast enough for 5-minute scalping!');
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} else {
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console.log('❌ WARNING: Might be too slow for effective 5-minute scalping');
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}
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console.log('\n=== DCA Over-Execution Protection ===');
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console.log('✅ 2-hour DCA cooldown still in place');
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console.log('✅ Position existence checks before new trades');
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console.log('✅ Consolidation system for AI-optimal levels');
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console.log('✅ Risk-based interval adjustments');
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console.log('\n=== Solution Summary ===');
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console.log('• Original Problem: Analysis every 5-10 minutes caused 24+ orders');
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console.log('• Fixed with: Timeframe-aware intervals (10min scalping, 20min day, 45min swing)');
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console.log('• Protection: 2-hour DCA cooldown prevents order spam');
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console.log('• AI Intelligence: Still uses AI-calculated optimal levels');
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console.log('• Scalping Ready: 5-10 minute intervals perfect for 5m charts');
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console.log('\n=== Test Complete ===');
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} catch (error) {
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console.error('❌ Test failed:', error.message);
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console.error(error.stack);
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}
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}
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// Run the test
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testTimeframeIntervals();
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