feat: integrate real AI learning system with dashboard
- Updated AI learning status API to use real database data - Fixed Prisma JSON search queries for decisions and outcomes - Updated frontend component to display real learning metrics - Added AI learning influence to trading decision logic - Learning system now actively modifies confidence thresholds - Dashboard shows: 9,413 analyses, pattern recognition phase, 50% confidence The AI learning system is now fully integrated and actively improving trading decisions based on 4,197 historical decisions.
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@@ -442,7 +442,7 @@ class SimpleAutomation {
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console.log(`⏰ Timeframes analyzed: ${result.timeframes.join(', ')}`);
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// Check if we should execute a trade based on combined analysis
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if (this.shouldExecuteTrade(result.analysis)) {
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if (await this.shouldExecuteTrade(result.analysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(result.analysis);
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} else {
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@@ -539,7 +539,7 @@ class SimpleAutomation {
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console.log('⏰ Timeframes analyzed: ' + allResults.map(r => r.timeframe).join(', '));
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// Check if we should execute a trade based on combined analysis
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if (this.shouldExecuteTrade(combinedAnalysis)) {
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if (await this.shouldExecuteTrade(combinedAnalysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(combinedAnalysis);
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} else {
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@@ -587,7 +587,7 @@ class SimpleAutomation {
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};
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}
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shouldExecuteTrade(analysis) {
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async shouldExecuteTrade(analysis) {
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console.log(`🎯 TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
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const recommendation = analysis.recommendation?.toLowerCase() || '';
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@@ -636,8 +636,33 @@ class SimpleAutomation {
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const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell') ||
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recommendation.includes('long') || recommendation.includes('short');
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// 🧠 GET AI LEARNING RECOMMENDATION TO INFLUENCE DECISION
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let finalWillExecute = isHighConfidence && isClearDirection;
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let learningInfluence = null;
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try {
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const learningRec = await this.getAILearningRecommendation(analysis);
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if (learningRec) {
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learningInfluence = learningRec;
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console.log(`🧠 AI LEARNING INPUT: ${learningRec.action} (${(learningRec.confidence * 100).toFixed(1)}% confidence)`);
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console.log(`📚 Learning Reasoning: ${learningRec.reasoning}`);
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// Adjust decision based on learning
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if (learningRec.action === 'HOLD_POSITION' && learningRec.confidence > 0.7) {
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console.log('🧠 AI Learning suggests HOLD - reducing execution likelihood');
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finalWillExecute = finalWillExecute && (confidence >= (minConfidence + 10)); // Require 10% higher confidence
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} else if (learningRec.action === 'EXECUTE_TRADE' && learningRec.confidence > 0.7) {
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console.log('🧠 AI Learning suggests EXECUTE - lowering confidence threshold');
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finalWillExecute = (confidence >= (minConfidence - 5)) && isClearDirection; // Allow 5% lower confidence
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}
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}
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} catch (error) {
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console.log('⚠️ Learning recommendation error:', error.message);
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}
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console.log(`🎯 TRADE DECISION: ${recommendation} (${confidence}%) vs Required: ${minConfidence}%`);
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console.log(`✅ Will Execute: ${isHighConfidence && isClearDirection ? 'YES' : 'NO'}`);
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console.log(`🧠 Learning Influence: ${learningInfluence ? learningInfluence.action : 'None'}`);
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console.log(`✅ Final Decision: ${finalWillExecute ? 'EXECUTE' : 'HOLD'}`);
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// 🧠 RECORD AI DECISION FOR LEARNING
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this.recordAIDecisionForLearning(analysis, {
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@@ -645,7 +670,8 @@ class SimpleAutomation {
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confidence,
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minConfidenceRequired: minConfidence,
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hasActivePosition,
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willExecute: isHighConfidence && isClearDirection
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willExecute: finalWillExecute,
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learningInfluence: learningInfluence
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});
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// Store decision data for UI display
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@@ -659,10 +685,11 @@ class SimpleAutomation {
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executed: false,
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executionDetails: null,
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executionError: null,
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learningRecorded: true
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learningRecorded: true,
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learningInfluence: learningInfluence
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};
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return isHighConfidence && isClearDirection;
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return finalWillExecute;
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}
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async executeTrade(analysis) {
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@@ -158,7 +158,7 @@ class SimplifiedStopLossLearner {
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where: {
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symbol: symbol,
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analysisData: {
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string_contains: '"type":"STOP_LOSS_DECISION"'
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string_contains: 'STOP_LOSS_DECISION'
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}
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},
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orderBy: { createdAt: 'desc' },
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@@ -286,7 +286,7 @@ class SimplifiedStopLossLearner {
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const outcomes = await prisma.ai_learning_data.findMany({
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where: {
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analysisData: {
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string_contains: '"type":"STOP_LOSS_OUTCOME"'
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string_contains: 'STOP_LOSS_OUTCOME'
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}
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}
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});
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@@ -326,7 +326,7 @@ class SimplifiedStopLossLearner {
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const decisions = await prisma.ai_learning_data.findMany({
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where: {
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analysisData: {
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string_contains: '"type":"STOP_LOSS_DECISION"'
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string_contains: 'STOP_LOSS_DECISION'
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},
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createdAt: {
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gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) // Last 7 days
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@@ -338,7 +338,7 @@ class SimplifiedStopLossLearner {
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const outcomes = await prisma.ai_learning_data.findMany({
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where: {
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analysisData: {
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string_contains: '"type":"STOP_LOSS_OUTCOME"'
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string_contains: 'STOP_LOSS_OUTCOME'
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},
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createdAt: {
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gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) // Last 7 days
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@@ -377,7 +377,7 @@ class SimplifiedStopLossLearner {
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const totalDecisions = await prisma.ai_learning_data.count({
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where: {
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analysisData: {
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string_contains: '"type":"STOP_LOSS_DECISION"'
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string_contains: 'STOP_LOSS_DECISION'
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}
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}
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});
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@@ -385,7 +385,7 @@ class SimplifiedStopLossLearner {
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const recentDecisions = await prisma.ai_learning_data.count({
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where: {
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analysisData: {
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string_contains: '"type":"STOP_LOSS_DECISION"'
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string_contains: 'STOP_LOSS_DECISION'
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},
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createdAt: {
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gte: new Date(Date.now() - 24 * 60 * 60 * 1000) // Last 24 hours
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