fix: Remove all hardcoded timeframe references in automation service

- Replace hardcoded timeframes array ['15', '1h', '2h', '4h'] with dynamic selectedTimeframes
- Fix hardcoded '1h' references in primary timeframe selection
- Update recommendation messages to use dynamic primaryTimeframe
- Ensure scalping selection (5,15,30m) is properly respected by automation service
- All timeframe logic now uses selectedTimeframes from UI configuration

lib/automation-service-simple.ts

@@ -15,6 +15,7 @@ export interface AutomationConfig {
   mode: 'SIMULATION' | 'LIVE'
   symbol: string
   timeframe: string
+  selectedTimeframes?: string[] // Multi-timeframe support from UI
   tradingAmount: number
   maxLeverage: number
   // stopLossPercent and takeProfitPercent removed - AI calculates these automatically
@@ -271,8 +272,8 @@ export class AutomationService {
       progressTracker.createSession(sessionId, progressSteps)
       progressTracker.updateStep(sessionId, 'init', 'active', 'Starting multi-timeframe analysis...')
       
-      // Multi-timeframe analysis: 15m, 1h, 2h, 4h
+      // Use selected timeframes from UI, fallback to default if not provided
-      const timeframes = ['15', '1h', '2h', '4h']
+      const timeframes = this.config!.selectedTimeframes || ['1h']
       const symbol = this.config!.symbol
       
       console.log(`🔍 Analyzing ${symbol} across timeframes: ${timeframes.join(', ')} with AI + DIY layouts`)
@@ -404,8 +405,10 @@ export class AutomationService {
       return { screenshots: [], analysis: null }
     }
 
-    // Get the primary timeframe (1h) as base
+    // Get the primary timeframe (first selected or default) as base
-    const primaryResult = validResults.find(r => r.timeframe === '1h') || validResults[0]
+    const selectedTimeframes = this.config!.selectedTimeframes || ['1h']
+    const primaryTimeframe = selectedTimeframes[0] || '1h'
+    const primaryResult = validResults.find(r => r.timeframe === primaryTimeframe) || validResults[0]
     const screenshots = validResults.length > 0 ? [primaryResult.timeframe] : []
 
     // Calculate weighted confidence based on timeframe alignment
@@ -478,8 +481,10 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
     const allLevels = results.map(r => r.analysis?.keyLevels).filter(Boolean)
     if (allLevels.length === 0) return {}
 
-    // Use the 1h timeframe levels as primary, or first available
+    // Use the primary timeframe levels (first selected) as primary, or first available
-    const primaryLevels = results.find(r => r.timeframe === '1h')?.analysis?.keyLevels || allLevels[0]
+    const selectedTimeframes = this.config!.selectedTimeframes || ['1h']
+    const primaryTimeframe = selectedTimeframes[0] || '1h'
+    const primaryLevels = results.find(r => r.timeframe === primaryTimeframe)?.analysis?.keyLevels || allLevels[0]
     
     return {
       ...primaryLevels,
@@ -491,8 +496,10 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
     const sentiments = results.map(r => r.analysis?.marketSentiment).filter(Boolean)
     if (sentiments.length === 0) return 'NEUTRAL'
 
-    // Use the 1h timeframe sentiment as primary, or first available
+    // Use the primary timeframe sentiment (first selected) as primary, or first available
-    const primarySentiment = results.find(r => r.timeframe === '1h')?.analysis?.marketSentiment || sentiments[0]
+    const selectedTimeframes = this.config!.selectedTimeframes || ['1h']
+    const primaryTimeframe = selectedTimeframes[0] || '1h'
+    const primarySentiment = results.find(r => r.timeframe === primaryTimeframe)?.analysis?.marketSentiment || sentiments[0]
     
     return primarySentiment || 'NEUTRAL'
   }
@@ -1191,11 +1198,14 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
     recommendations: string[]
   }> {
     try {
-      // For now, return mock data
+      // For now, return mock data with dynamic timeframe
+      const selectedTimeframes = this.config?.selectedTimeframes || ['1h']
+      const primaryTimeframe = selectedTimeframes[0] || '1h'
+      
       return {
         totalAnalyses: 150,
         avgAccuracy: 0.72,
-        bestTimeframe: '1h',
+        bestTimeframe: primaryTimeframe,
         worstTimeframe: '15m',
         commonFailures: [
           'Low confidence predictions',
@@ -1203,7 +1213,7 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
           'Timeframe misalignment'
         ],
         recommendations: [
-          'Focus on 1h timeframe for better accuracy',
+          `Focus on ${primaryTimeframe} timeframe for better accuracy`,
           'Wait for higher confidence signals (>75%)',
           'Use multiple timeframe confirmation'
         ]