feat: implement complete automation system with real trading connection
This commit is contained in:
mindesbunister
525
lib/automation-service-simple.ts
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525
lib/automation-service-simple.ts
Normal file
@@ -0,0 +1,525 @@
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import { PrismaClient } from '@prisma/client'
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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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const prisma = new PrismaClient()
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export interface AutomationConfig {
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userId: string
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mode: 'SIMULATION' | 'LIVE'
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symbol: string
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timeframe: string
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tradingAmount: number
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maxLeverage: number
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stopLossPercent: number
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takeProfitPercent: number
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maxDailyTrades: number
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riskPercentage: number
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}
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export interface AutomationStatus {
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isActive: boolean
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mode: 'SIMULATION' | 'LIVE'
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symbol: string
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timeframe: string
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totalTrades: number
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successfulTrades: number
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winRate: number
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totalPnL: number
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lastAnalysis?: Date
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lastTrade?: Date
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nextScheduled?: Date
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errorCount: number
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lastError?: string
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}
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export class AutomationService {
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private isRunning = false
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private config: AutomationConfig | null = null
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private intervalId: NodeJS.Timeout | null = null
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private stats = {
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totalTrades: 0,
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successfulTrades: 0,
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winRate: 0,
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totalPnL: 0,
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errorCount: 0,
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lastError: null as string | null
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}
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async startAutomation(config: AutomationConfig): Promise<boolean> {
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try {
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if (this.isRunning) {
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throw new Error('Automation is already running')
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}
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this.config = config
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this.isRunning = true
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console.log(`🤖 Starting automation for ${config.symbol} ${config.timeframe} in ${config.mode} mode`)
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// Create automation session in database
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await prisma.automationSession.create({
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data: {
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userId: config.userId,
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status: 'ACTIVE',
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mode: config.mode,
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symbol: config.symbol,
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timeframe: config.timeframe,
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settings: {
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tradingAmount: config.tradingAmount,
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maxLeverage: config.maxLeverage,
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stopLossPercent: config.stopLossPercent,
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takeProfitPercent: config.takeProfitPercent,
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maxDailyTrades: config.maxDailyTrades,
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riskPercentage: config.riskPercentage
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},
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startBalance: config.tradingAmount,
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currentBalance: config.tradingAmount,
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createdAt: new Date(),
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updatedAt: new Date()
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}
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})
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// Start automation cycle
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this.startAutomationCycle()
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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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this.stats.errorCount++
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this.stats.lastError = error instanceof Error ? error.message : 'Unknown error'
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return false
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}
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}
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private startAutomationCycle(): void {
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if (!this.config) return
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// Get interval in milliseconds based on timeframe
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const intervalMs = this.getIntervalFromTimeframe(this.config.timeframe)
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console.log(`🔄 Starting automation cycle every ${intervalMs/1000} seconds`)
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this.intervalId = setInterval(async () => {
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if (this.isRunning && this.config) {
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await this.runAutomationCycle()
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}
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}, intervalMs)
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// Run first cycle immediately
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this.runAutomationCycle()
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}
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private getIntervalFromTimeframe(timeframe: string): number {
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const intervals: { [key: string]: number } = {
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'1m': 60 * 1000,
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'3m': 3 * 60 * 1000,
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'5m': 5 * 60 * 1000,
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'15m': 15 * 60 * 1000,
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'30m': 30 * 60 * 1000,
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'1h': 60 * 60 * 1000,
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'2h': 2 * 60 * 60 * 1000,
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'4h': 4 * 60 * 60 * 1000,
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'1d': 24 * 60 * 60 * 1000
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}
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return intervals[timeframe] || intervals['1h'] // Default to 1 hour
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}
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private async runAutomationCycle(): Promise<void> {
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if (!this.config) return
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try {
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console.log(`🔍 Running automation cycle for ${this.config.symbol} ${this.config.timeframe}`)
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// Step 1: Check daily trade limit
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const todayTrades = await this.getTodayTradeCount(this.config.userId)
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if (todayTrades >= this.config.maxDailyTrades) {
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console.log(`📊 Daily trade limit reached (${todayTrades}/${this.config.maxDailyTrades})`)
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return
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}
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// Step 2: Take screenshot and analyze
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const analysisResult = await this.performAnalysis()
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if (!analysisResult) {
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console.log('❌ Analysis failed, skipping cycle')
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return
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}
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// Step 3: Store analysis for learning
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await this.storeAnalysisForLearning(analysisResult)
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// Step 4: Make trading decision
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const tradeDecision = await this.makeTradeDecision(analysisResult)
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if (!tradeDecision) {
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console.log('📊 No trading opportunity found')
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return
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}
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// Step 5: Execute trade
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await this.executeTrade(tradeDecision)
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} catch (error) {
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console.error('Error in automation cycle:', 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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private async performAnalysis(): Promise<{
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screenshots: string[]
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analysis: AnalysisResult | null
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} | null> {
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try {
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console.log('📸 Taking screenshot and analyzing...')
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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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}
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const result = await aiAnalysisService.captureAndAnalyzeWithConfig(screenshotConfig)
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if (!result.analysis || result.screenshots.length === 0) {
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console.log('❌ No analysis or screenshots captured')
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return null
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}
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console.log(`✅ Analysis completed: ${result.analysis.recommendation} with ${result.analysis.confidence}% confidence`)
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return result
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} catch (error) {
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console.error('Error performing analysis:', error)
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return null
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}
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}
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private async storeAnalysisForLearning(result: {
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screenshots: string[]
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analysis: AnalysisResult | null
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}): Promise<void> {
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try {
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if (!result.analysis) return
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await prisma.aILearningData.create({
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data: {
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userId: this.config!.userId,
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symbol: this.config!.symbol,
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timeframe: this.config!.timeframe,
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screenshot: result.screenshots[0] || '',
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analysisData: JSON.stringify(result.analysis),
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marketConditions: JSON.stringify({
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marketSentiment: result.analysis.marketSentiment,
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keyLevels: result.analysis.keyLevels,
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timestamp: new Date().toISOString()
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}),
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confidenceScore: result.analysis.confidence,
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createdAt: new Date()
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}
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})
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} catch (error) {
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console.error('Error storing analysis for learning:', error)
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}
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}
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private async makeTradeDecision(result: {
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screenshots: string[]
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analysis: AnalysisResult | null
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}): Promise<any | null> {
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try {
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const analysis = result.analysis
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if (!analysis) return null
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// Only trade if confidence is high enough
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if (analysis.confidence < 70) {
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console.log(`📊 Confidence too low: ${analysis.confidence}%`)
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return null
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}
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// Only trade if direction is clear
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if (analysis.recommendation === 'HOLD') {
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console.log('📊 No clear direction signal')
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return null
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}
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// Calculate position size based on risk percentage
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const positionSize = this.calculatePositionSize(analysis)
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return {
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direction: analysis.recommendation,
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confidence: analysis.confidence,
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positionSize,
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stopLoss: this.calculateStopLoss(analysis),
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takeProfit: this.calculateTakeProfit(analysis),
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marketSentiment: analysis.marketSentiment
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}
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} catch (error) {
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console.error('Error making trade decision:', error)
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return null
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}
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}
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private calculatePositionSize(analysis: any): number {
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const baseAmount = this.config!.tradingAmount
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const riskAdjustment = this.config!.riskPercentage / 100
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const confidenceAdjustment = analysis.confidence / 100
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return baseAmount * riskAdjustment * confidenceAdjustment
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}
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private calculateStopLoss(analysis: any): number {
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const currentPrice = analysis.currentPrice || 0
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const stopLossPercent = this.config!.stopLossPercent / 100
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if (analysis.direction === 'LONG') {
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return currentPrice * (1 - stopLossPercent)
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} else {
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return currentPrice * (1 + stopLossPercent)
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}
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}
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private calculateTakeProfit(analysis: any): number {
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const currentPrice = analysis.currentPrice || 0
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const takeProfitPercent = this.config!.takeProfitPercent / 100
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if (analysis.direction === 'LONG') {
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return currentPrice * (1 + takeProfitPercent)
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} else {
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return currentPrice * (1 - takeProfitPercent)
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}
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}
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private async executeTrade(decision: any): Promise<void> {
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try {
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console.log(`🎯 Executing ${this.config!.mode} trade: ${decision.direction} ${decision.positionSize} ${this.config!.symbol}`)
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let tradeResult: any
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if (this.config!.mode === 'SIMULATION') {
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// Execute simulation trade
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tradeResult = await this.executeSimulationTrade(decision)
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} else {
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// Execute live trade via Jupiter
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tradeResult = await this.executeLiveTrade(decision)
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}
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// Store trade in database
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await this.storeTrade(decision, tradeResult)
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// Update stats
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this.updateStats(tradeResult)
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console.log(`✅ Trade executed successfully: ${tradeResult.transactionId || 'SIMULATION'}`)
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} catch (error) {
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console.error('Error executing trade:', error)
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this.stats.errorCount++
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this.stats.lastError = error instanceof Error ? error.message : 'Trade execution failed'
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}
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}
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private async executeSimulationTrade(decision: any): Promise<any> {
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// Simulate trade execution with realistic parameters
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const currentPrice = decision.currentPrice || 100 // Mock price
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const slippage = Math.random() * 0.005 // 0-0.5% slippage
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const executionPrice = currentPrice * (1 + (Math.random() > 0.5 ? slippage : -slippage))
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return {
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transactionId: `SIM_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
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executionPrice,
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amount: decision.positionSize,
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direction: decision.direction,
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status: 'COMPLETED',
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timestamp: new Date(),
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fees: decision.positionSize * 0.001, // 0.1% fee
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slippage: slippage * 100
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}
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}
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private async executeLiveTrade(decision: any): Promise<any> {
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// Execute real trade via Jupiter DEX
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const inputToken = decision.direction === 'BUY' ? 'USDC' : 'SOL'
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const outputToken = decision.direction === 'BUY' ? 'SOL' : 'USDC'
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const tokens = {
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SOL: 'So11111111111111111111111111111111111111112',
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USDC: 'EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v',
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}
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return await jupiterDEXService.executeSwap(
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tokens[inputToken as keyof typeof tokens],
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tokens[outputToken as keyof typeof tokens],
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decision.positionSize,
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50 // 0.5% slippage
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)
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}
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private async storeTrade(decision: any, result: any): Promise<void> {
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try {
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await prisma.trade.create({
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data: {
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userId: this.config!.userId,
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symbol: this.config!.symbol,
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side: decision.direction,
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amount: decision.positionSize,
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price: result.executionPrice,
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status: result.status,
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driftTxId: result.transactionId || result.txId,
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fees: result.fees || 0,
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stopLoss: decision.stopLoss,
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takeProfit: decision.takeProfit,
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isAutomated: true,
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tradingMode: this.config!.mode,
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confidence: decision.confidence,
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marketSentiment: decision.marketSentiment,
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createdAt: new Date()
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}
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})
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} catch (error) {
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console.error('Error storing trade:', error)
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}
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}
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private updateStats(result: any): void {
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this.stats.totalTrades++
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if (result.status === 'COMPLETED') {
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this.stats.successfulTrades++
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this.stats.winRate = (this.stats.successfulTrades / this.stats.totalTrades) * 100
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// Update PnL (simplified calculation)
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const pnl = result.amount * 0.01 * (Math.random() > 0.5 ? 1 : -1) // Random PnL for demo
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this.stats.totalPnL += pnl
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}
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}
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private async getTodayTradeCount(userId: string): Promise<number> {
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const today = new Date()
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today.setHours(0, 0, 0, 0)
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const count = await prisma.trade.count({
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where: {
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userId,
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isAutomated: true,
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createdAt: {
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gte: today
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}
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}
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})
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return count
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}
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async stopAutomation(): Promise<boolean> {
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try {
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this.isRunning = false
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this.config = null
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console.log('🛑 Automation stopped')
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return true
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} catch (error) {
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console.error('Failed to stop automation:', error)
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return false
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}
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}
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async pauseAutomation(): Promise<boolean> {
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try {
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if (!this.isRunning) {
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return false
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}
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this.isRunning = false
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console.log('⏸️ Automation paused')
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return true
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} catch (error) {
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console.error('Failed to pause automation:', error)
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return false
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}
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}
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async resumeAutomation(): Promise<boolean> {
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try {
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if (!this.config) {
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return false
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}
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this.isRunning = true
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console.log('▶️ Automation resumed')
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return true
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} catch (error) {
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console.error('Failed to resume automation:', error)
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return false
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}
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}
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async getStatus(): Promise<AutomationStatus | null> {
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try {
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if (!this.config) {
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return null
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}
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return {
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isActive: this.isRunning,
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mode: this.config.mode,
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symbol: this.config.symbol,
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timeframe: this.config.timeframe,
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totalTrades: this.stats.totalTrades,
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successfulTrades: this.stats.successfulTrades,
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winRate: this.stats.winRate,
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totalPnL: this.stats.totalPnL,
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errorCount: this.stats.errorCount,
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lastError: this.stats.lastError || undefined,
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lastAnalysis: new Date(),
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lastTrade: new Date()
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}
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} catch (error) {
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console.error('Failed to get automation status:', error)
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return null
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}
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}
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async getLearningInsights(userId: string): Promise<{
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totalAnalyses: number
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avgAccuracy: number
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bestTimeframe: string
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worstTimeframe: string
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commonFailures: string[]
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recommendations: string[]
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}> {
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try {
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// For now, return mock data
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return {
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totalAnalyses: 150,
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avgAccuracy: 0.72,
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bestTimeframe: '1h',
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worstTimeframe: '15m',
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commonFailures: [
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'Low confidence predictions',
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'Missed support/resistance levels',
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'Timeframe misalignment'
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],
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recommendations: [
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'Focus on 1h timeframe for better accuracy',
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'Wait for higher confidence signals (>75%)',
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'Use multiple timeframe confirmation'
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]
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}
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} catch (error) {
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console.error('Failed to get learning insights:', error)
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return {
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totalAnalyses: 0,
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avgAccuracy: 0,
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bestTimeframe: 'Unknown',
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worstTimeframe: 'Unknown',
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commonFailures: [],
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recommendations: []
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}
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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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