feat: implement intelligent price-proximity scalping optimization
- Replace blind time intervals with smart price-proximity rescanning - Only triggers analysis when price approaches stop loss (danger zone) - Detects scalping strategies automatically (1m, 3m, 5m timeframes) - Uses frequent 2-minute intervals for scalping vs 10-minute for swing trades - Adds hasOpenPositions() and triggerPriceBasedAnalysis() methods - Fixed TypeScript compilation errors with config.selectedTimeframes access - Removed non-existent selectedTimeframes from AutomationStatus interface This optimization prevents unnecessary rescans when price hasn't moved near SL/TP levels, focusing computational resources on critical decision moments for DCA, SL adjustment, or exit.
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mindesbunister
@@ -170,9 +170,9 @@ export class AutomationService {
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private getIntervalFromTimeframe(timeframe: string): number {
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// Check if this is a scalping strategy (multiple short timeframes)
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if (this.config?.selectedTimeframes || this.config?.settings?.selectedTimeframes) {
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const timeframes = this.config.selectedTimeframes || this.config.settings?.selectedTimeframes
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const isScalping = timeframes.includes('5') || timeframes.includes('3') || (timeframes.length > 1 && timeframes.every(tf => ['1', '3', '5', '15', '30'].includes(tf)))
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if (this.config?.selectedTimeframes) {
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const timeframes = this.config.selectedTimeframes
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const isScalping = timeframes.includes('5') || timeframes.includes('3') || (timeframes.length > 1 && timeframes.every((tf: string) => ['1', '3', '5', '15', '30'].includes(tf)))
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if (isScalping) {
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console.log('🎯 Scalping strategy detected - using frequent analysis (2-3 minutes)')
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return 2 * 60 * 1000 // 2 minutes for scalping
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@@ -1256,6 +1256,58 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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return count
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}
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/**
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* Determine if current strategy is scalping based on selected timeframes
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*/
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private isScalpingStrategy(): boolean {
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if (!this.config) return false
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if (this.config.selectedTimeframes) {
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const timeframes = this.config.selectedTimeframes
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const isScalping = timeframes.includes('5') || timeframes.includes('3') ||
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(timeframes.length > 1 && timeframes.every((tf: string) => ['1', '3', '5', '15', '30'].includes(tf)))
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return isScalping
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}
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// Fallback to single timeframe check
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return ['1m', '3m', '5m'].includes(this.config.timeframe)
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}
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/**
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* Check if there are any open positions for current symbol
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*/
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private async hasOpenPositions(): Promise<boolean> {
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if (!this.config) return false
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try {
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const openPositions = await prisma.trade.findMany({
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where: {
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userId: this.config.userId,
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status: 'open',
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symbol: this.config.symbol
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}
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})
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return openPositions.length > 0
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} catch (error) {
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console.error('Error checking open positions:', error)
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return false
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}
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}
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/**
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* Placeholder methods for new actions (to be implemented)
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*/
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private async adjustStopLoss(newSLPrice: number): Promise<void> {
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console.log(`🎯 Adjusting stop loss to $${newSLPrice.toFixed(4)} (placeholder implementation)`)
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// TODO: Implement actual SL adjustment via Drift SDK
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}
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private async exitPosition(reason: string): Promise<void> {
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console.log(`🚪 Exiting position due to: ${reason} (placeholder implementation)`)
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// TODO: Implement actual position exit via Drift SDK
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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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@@ -1367,7 +1419,6 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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mode: session.mode as 'SIMULATION' | 'LIVE',
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symbol: session.symbol,
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timeframe: session.timeframe,
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selectedTimeframes: session.settings?.selectedTimeframes,
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totalTrades: session.totalTrades,
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successfulTrades: session.successfulTrades,
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winRate: session.winRate,
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@@ -1532,6 +1583,26 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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}
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})
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// Enhanced action logic for intelligent scalping optimization
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if (trigger === 'SL_APPROACH') {
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console.log('🔍 Stop Loss approaching - analyzing intelligent scalping action')
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const slAction = await this.analyzeSLApproachAction(analysisResult, data)
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if (slAction.action === 'DCA_REVERSAL' && slAction.shouldExecute) {
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console.log('🔄 Executing DCA reversal to average down position')
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await this.executeDCA(slAction.dcaResult)
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} else if (slAction.action === 'EARLY_EXIT' && slAction.shouldExecute) {
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console.log('🚪 Executing early exit before stop loss hit')
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// TODO: Implement early exit logic
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} else if (slAction.action === 'ADJUST_SL' && slAction.shouldExecute) {
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console.log('📊 Adjusting stop loss based on market reversal signals')
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// TODO: Implement SL adjustment logic
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} else {
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console.log(`💡 SL Approach Action: ${slAction.action} (not executing: ${slAction.reasoning})`)
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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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@@ -1745,6 +1816,106 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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console.error('Error creating DCA record:', error)
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}
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}
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/**
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* Intelligent analysis when stop loss is approaching for scalping strategies
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*/
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private async analyzeSLApproachAction(
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analysisResult: any,
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priceData: any
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): Promise<{
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action: 'DCA_REVERSAL' | 'EARLY_EXIT' | 'ADJUST_SL' | 'HOLD',
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shouldExecute: boolean,
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reasoning: string,
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dcaResult?: any
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}> {
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try {
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if (!this.config) {
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return { action: 'HOLD', shouldExecute: false, reasoning: 'No configuration available' }
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}
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// Only apply intelligent SL logic for scalping strategies
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if (!this.isScalpingStrategy()) {
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return {
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action: 'HOLD',
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shouldExecute: false,
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reasoning: 'Not a scalping timeframe - using standard SL approach'
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}
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}
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// Check if we have open positions to work with
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const hasPositions = await this.hasOpenPositions()
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if (!hasPositions) {
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return {
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action: 'HOLD',
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shouldExecute: false,
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reasoning: 'No open positions to manage'
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}
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}
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// Analyze market reversal signals based on AI recommendation and confidence
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const confidence = analysisResult.confidence || 0
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const recommendation = analysisResult.recommendation || 'HOLD'
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// Strong BUY signal while approaching SL suggests potential reversal
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if (recommendation === 'BUY' && confidence >= 75) {
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console.log('🔄 Strong BUY signal detected while approaching SL - checking DCA opportunity')
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// Check DCA opportunity for potential reversal
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const dcaOpportunity = await this.checkForDCAOpportunity()
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if (dcaOpportunity.shouldDCA) {
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return {
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action: 'DCA_REVERSAL',
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shouldExecute: true,
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reasoning: `AI shows ${confidence}% confidence BUY signal - DCA to average down`,
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dcaResult: dcaOpportunity
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}
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} else {
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return {
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action: 'ADJUST_SL',
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shouldExecute: true,
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reasoning: `AI shows ${confidence}% confidence BUY signal - adjust SL to give more room`
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}
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}
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}
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// Strong SELL signal confirms downtrend - early exit
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else if (recommendation === 'SELL' && confidence >= 80) {
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return {
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action: 'EARLY_EXIT',
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shouldExecute: true,
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reasoning: `AI shows ${confidence}% confidence SELL signal - exit before SL hit`
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}
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}
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// Medium confidence signals - more conservative approach
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else if (confidence >= 60) {
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return {
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action: 'ADJUST_SL',
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shouldExecute: recommendation === 'BUY',
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reasoning: `Medium confidence ${recommendation} - ${recommendation === 'BUY' ? 'adjust SL' : 'maintain position'}`
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}
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}
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// Low confidence or HOLD - maintain current strategy
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else {
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return {
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action: 'HOLD',
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shouldExecute: false,
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reasoning: `Low confidence (${confidence}%) or HOLD signal - let SL trigger naturally`
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}
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}
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} catch (error) {
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console.error('Error analyzing SL approach action:', error)
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return {
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action: 'HOLD',
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shouldExecute: false,
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reasoning: 'Error in SL approach analysis'
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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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