feat: implement real-time price monitoring with automatic analysis triggering
New Features: - Real-time price monitoring service with 5-minute update cycles - Automatic analysis triggering when prices approach TP/SL levels (15%/25% thresholds) - Comprehensive price monitoring UI component with live updates - Integration with automation service for smart analysis scheduling - PnL tracking and position status monitoring - EventEmitter-based real-time updates - CoinGecko API integration with rate limiting - TP/SL approach detection with configurable thresholds - Alert system for critical price movements - Database integration for trade tracking - Price monitor startup/shutdown with automation lifecycle - Event listeners for TP_APPROACH, SL_APPROACH, CRITICAL alerts - Automatic screenshot capture and AI analysis on price triggers - Enhanced progress tracking for price-based analysis - Intelligent analysis context with price movement data - RealTimePriceMonitor component with live price display - Trade monitoring cards with P&L and distance to TP/SL - Active alerts panel with price threshold notifications - Monitoring service controls (start/stop/force update) - Integration with automation page for comprehensive oversight - GET: Retrieve monitoring data, alerts, and current prices - POST: Control monitoring service and force price updates - Real-time data formatting and status management - Comprehensive price monitor integration tests - Basic functionality validation scripts - API endpoint testing capabilities This implements the user's request for real-time price monitoring with automatic analysis triggering when prices approach critical levels, providing enhanced oversight of active trading positions.
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mindesbunister
@@ -3,9 +3,10 @@ import { aiAnalysisService, AnalysisResult } from './ai-analysis'
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import { jupiterDEXService } from './jupiter-dex-service'
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import { enhancedScreenshotService } from './enhanced-screenshot-simple'
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import { TradingViewCredentials } from './tradingview-automation'
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import { progressTracker } from './progress-tracker'
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import { progressTracker, ProgressStatus } from './progress-tracker'
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import aggressiveCleanup from './aggressive-cleanup'
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import { analysisCompletionFlag } from './analysis-completion-flag'
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import priceMonitorService from './price-monitor'
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const prisma = new PrismaClient()
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@@ -110,6 +111,31 @@ export class AutomationService {
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// Start automation cycle
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this.startAutomationCycle()
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// Start price monitoring
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await priceMonitorService.startMonitoring()
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// Set up price monitor event listeners for automatic analysis triggering
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priceMonitorService.on('tp_approach', async (data) => {
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if (data.symbol === this.config?.symbol) {
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console.log(`🎯 TP approach detected for ${data.symbol}, triggering analysis...`)
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await this.triggerPriceBasedAnalysis('TP_APPROACH', data)
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}
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})
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priceMonitorService.on('sl_approach', async (data) => {
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if (data.symbol === this.config?.symbol) {
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console.log(`⚠️ SL approach detected for ${data.symbol}, triggering analysis...`)
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await this.triggerPriceBasedAnalysis('SL_APPROACH', data)
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}
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})
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priceMonitorService.on('critical_level', async (data) => {
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if (data.symbol === this.config?.symbol) {
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console.log(`🚨 Critical level reached for ${data.symbol}, triggering urgent analysis...`)
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await this.triggerPriceBasedAnalysis('CRITICAL', data)
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}
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})
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return true
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} catch (error) {
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console.error('Failed to start automation:', error)
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@@ -791,6 +817,14 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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this.intervalId = null
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}
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// Stop price monitoring
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try {
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await priceMonitorService.stopMonitoring()
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console.log('📊 Price monitoring stopped')
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} catch (error) {
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console.error('Failed to stop price monitoring:', error)
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}
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// Update database session status to STOPPED
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if (this.config) {
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await prisma.automationSession.updateMany({
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@@ -951,6 +985,111 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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}
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}
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}
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/**
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* Trigger analysis based on price movement alerts
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*/
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private async triggerPriceBasedAnalysis(
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trigger: 'TP_APPROACH' | 'SL_APPROACH' | 'CRITICAL',
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data: any
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): Promise<void> {
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if (!this.config || !this.isRunning) {
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console.log('❌ Cannot trigger price-based analysis: automation not running')
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return
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}
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const sessionId = `price-trigger-${Date.now()}`
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try {
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console.log(`🔥 Price-based analysis triggered by ${trigger} for ${data.symbol}`)
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console.log(`📊 Current price: $${data.currentPrice}, Target: $${data.targetPrice}`)
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// Create progress tracker for this analysis
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const steps = [
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{ id: 'trigger', title: 'Triggered by price movement', description: 'Analysis initiated by price alert', status: 'pending' as ProgressStatus },
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{ id: 'screenshot', title: 'Capturing screenshots', description: 'Taking fresh market screenshots', status: 'pending' as ProgressStatus },
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{ id: 'analysis', title: 'Running AI analysis', description: 'Analyzing current market conditions', status: 'pending' as ProgressStatus },
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{ id: 'evaluation', title: 'Evaluating position', description: 'Checking position adjustments', status: 'pending' as ProgressStatus },
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{ id: 'complete', title: 'Analysis complete', description: 'Price-based analysis finished', status: 'pending' as ProgressStatus }
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]
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progressTracker.createSession(sessionId, steps)
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progressTracker.updateStep(sessionId, 'trigger', 'active', `${trigger}: ${data.symbol} at $${data.currentPrice}`)
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// Run enhanced screenshot capture with current symbol/timeframe
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progressTracker.updateStep(sessionId, 'screenshot', 'active')
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const screenshotConfig = {
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symbol: this.config.symbol,
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timeframe: this.config.timeframe,
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layouts: ['ai', 'diy'],
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sessionId
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}
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const screenshots = await enhancedScreenshotService.captureWithLogin(screenshotConfig)
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if (!screenshots || screenshots.length === 0) {
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throw new Error('Failed to capture screenshots for price-based analysis')
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}
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progressTracker.updateStep(sessionId, 'screenshot', 'completed', `Captured ${screenshots.length} screenshots`)
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progressTracker.updateStep(sessionId, 'analysis', 'active')
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// Simplified analysis call - just use the first screenshot
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const analysisResult = await aiAnalysisService.analyzeScreenshot(screenshots[0])
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if (!analysisResult) {
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throw new Error('AI analysis returned null result')
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}
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progressTracker.updateStep(sessionId, 'analysis', 'completed', `Analysis: ${analysisResult.recommendation}`)
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progressTracker.updateStep(sessionId, 'evaluation', 'active')
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// Store the triggered analysis in trading journal
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await prisma.tradingJournal.create({
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data: {
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userId: this.config.userId,
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screenshotUrl: screenshots[0] || '',
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aiAnalysis: analysisResult.reasoning || 'No analysis available',
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confidence: analysisResult.confidence || 0,
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recommendation: analysisResult.recommendation || 'HOLD',
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symbol: this.config.symbol,
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timeframe: this.config.timeframe,
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sessionId,
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notes: `Price-triggered analysis: ${trigger} - Current: $${data.currentPrice}, Target: $${data.targetPrice}`,
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marketSentiment: analysisResult.marketSentiment || 'Unknown',
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tradingMode: this.config.mode,
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isAutomated: true,
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priceAtAnalysis: data.currentPrice,
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marketCondition: trigger,
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createdAt: new Date()
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}
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})
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// Log important insights for potential position adjustments
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if (analysisResult.recommendation === 'SELL' && trigger === 'SL_APPROACH') {
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console.log('⚠️ AI recommends SELL while approaching Stop Loss - consider early exit')
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} else if (analysisResult.recommendation === 'BUY' && trigger === 'TP_APPROACH') {
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console.log('🎯 AI recommends BUY while approaching Take Profit - consider extending position')
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}
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progressTracker.updateStep(sessionId, 'evaluation', 'completed')
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progressTracker.updateStep(sessionId, 'complete', 'completed',
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`${analysisResult.recommendation} (${analysisResult.confidence}% confidence)`)
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console.log(`✅ Price-based analysis completed (${trigger}): ${analysisResult.recommendation} with ${analysisResult.confidence}% confidence`)
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} catch (error) {
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console.error(`❌ Price-based analysis failed (${trigger}):`, error)
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progressTracker.updateStep(sessionId, 'complete', 'error',
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`Error: ${error instanceof Error ? error.message : 'Unknown error'}`)
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this.stats.errorCount++
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this.stats.lastError = error instanceof Error ? error.message : 'Unknown error'
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}
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}
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}
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export const automationService = new AutomationService()
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