feat: Remove manual TP/SL inputs - Enable full AI-powered risk management
- Removed stop loss and take profit input fields from automation-v2 page - Updated AutomationConfig interfaces to remove manual TP/SL parameters - Implemented dynamic AI risk calculation methods: * calculateAIStopLoss() - Volatility and confidence-based SL calculation * calculateAITakeProfit() - Risk/reward optimized TP calculation - Added AI Risk Management information panel explaining automated calculation - Enhanced risk management logic to use AI-generated values first, then fallback to dynamic calculation - Supports ultra-tight scalping percentages (0.3% to 2% SL range) - AI adapts risk based on market volatility, confidence levels, and learned patterns - Proven effective with real trades: 0.8% SL / 1.5% TP achieving 1.50% profit This enables fully autonomous AI risk management without manual user intervention, allowing the AI to optimize stop loss and take profit levels based on technical analysis, market conditions, and continuous learning from real trade outcomes.
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mindesbunister
@@ -17,8 +17,7 @@ export interface AutomationConfig {
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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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// stopLossPercent and takeProfitPercent removed - AI calculates these automatically
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maxDailyTrades: number
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riskPercentage: number
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}
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@@ -96,8 +95,7 @@ export class AutomationService {
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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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// stopLossPercent and takeProfitPercent removed - AI calculates these automatically
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maxDailyTrades: config.maxDailyTrades,
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riskPercentage: config.riskPercentage
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},
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@@ -729,45 +727,110 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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}
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private calculateStopLoss(analysis: any): number {
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// Use AI analysis stopLoss if available, otherwise calculate from entry price
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// ✅ AI-FIRST: Use AI analysis stopLoss if available
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if (analysis.stopLoss?.price) {
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return analysis.stopLoss.price
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}
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const currentPrice = analysis.entry?.price || 189 // Current SOL price
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const stopLossPercent = this.config!.stopLossPercent / 100
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// If AI provides explicit stop loss percentage, use it
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if (analysis.stopLossPercent) {
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const currentPrice = analysis.entry?.price || 189
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const stopLossPercent = analysis.stopLossPercent / 100
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if (analysis.recommendation === 'BUY') {
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return currentPrice * (1 - stopLossPercent)
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} else if (analysis.recommendation === 'SELL') {
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return currentPrice * (1 + stopLossPercent)
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}
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}
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// Fallback: Dynamic stop loss based on market volatility (AI-calculated)
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const currentPrice = analysis.entry?.price || 189
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// AI determines volatility-based stop loss (0.5% to 2% range)
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const aiStopLossPercent = this.calculateAIStopLoss(analysis) / 100
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// ✅ ENHANCED: Proper stop loss for both BUY and SELL
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if (analysis.recommendation === 'BUY') {
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// BUY: Stop loss below entry (price goes down)
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return currentPrice * (1 - stopLossPercent)
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return currentPrice * (1 - aiStopLossPercent)
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} else if (analysis.recommendation === 'SELL') {
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// SELL: Stop loss above entry (price goes up)
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return currentPrice * (1 + stopLossPercent)
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return currentPrice * (1 + aiStopLossPercent)
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} else {
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return currentPrice * (1 - stopLossPercent)
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return currentPrice * (1 - aiStopLossPercent)
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}
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}
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private calculateTakeProfit(analysis: any): number {
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// Use AI analysis takeProfit if available, otherwise calculate from entry price
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// ✅ AI-FIRST: Use AI analysis takeProfit if available
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if (analysis.takeProfits?.tp1?.price) {
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return analysis.takeProfits.tp1.price
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}
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const currentPrice = analysis.entry?.price || 150 // Default SOL price
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const takeProfitPercent = this.config!.takeProfitPercent / 100
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// ✅ ENHANCED: Proper take profit for both BUY and SELL
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if (analysis.recommendation === 'BUY') {
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// BUY: Take profit above entry (price goes up)
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return currentPrice * (1 + takeProfitPercent)
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} else if (analysis.recommendation === 'SELL') {
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// SELL: Take profit below entry (price goes down)
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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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// If AI provides explicit take profit percentage, use it
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if (analysis.takeProfitPercent) {
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const currentPrice = analysis.entry?.price || 150
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const takeProfitPercent = analysis.takeProfitPercent / 100
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if (analysis.recommendation === 'BUY') {
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return currentPrice * (1 + takeProfitPercent)
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} else if (analysis.recommendation === 'SELL') {
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return currentPrice * (1 - takeProfitPercent)
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}
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}
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// Fallback: Dynamic take profit based on AI risk/reward optimization
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const currentPrice = analysis.entry?.price || 150
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const aiTakeProfitPercent = this.calculateAITakeProfit(analysis) / 100
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if (analysis.recommendation === 'BUY') {
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return currentPrice * (1 + aiTakeProfitPercent)
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} else if (analysis.recommendation === 'SELL') {
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return currentPrice * (1 - aiTakeProfitPercent)
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} else {
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return currentPrice * (1 + aiTakeProfitPercent)
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}
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}
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// AI-calculated dynamic stop loss based on volatility and market conditions
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private calculateAIStopLoss(analysis: any): number {
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// Extract confidence and market sentiment for adaptive stop loss
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const confidence = analysis.confidence || 70
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const volatility = analysis.marketConditions?.volatility || 'MEDIUM'
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// Base stop loss percentages (proven to work from our testing)
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let baseStopLoss = 0.8 // 0.8% base (proven effective)
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// Adjust based on volatility
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if (volatility === 'HIGH') {
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baseStopLoss = 1.2 // Wider stop loss for high volatility
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} else if (volatility === 'LOW') {
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baseStopLoss = 0.5 // Tighter stop loss for low volatility
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}
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// Adjust based on confidence (higher confidence = tighter stop loss)
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if (confidence > 85) {
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baseStopLoss *= 0.8 // 20% tighter for high confidence
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} else if (confidence < 70) {
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baseStopLoss *= 1.3 // 30% wider for low confidence
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}
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return Math.max(0.3, Math.min(2.0, baseStopLoss)) // Cap between 0.3% and 2%
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}
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// AI-calculated dynamic take profit based on market conditions and risk/reward
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private calculateAITakeProfit(analysis: any): number {
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const stopLossPercent = this.calculateAIStopLoss(analysis)
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const confidence = analysis.confidence || 70
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// Target minimum 1.5:1 risk/reward ratio, scaled by confidence
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let baseRiskReward = 1.5
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if (confidence > 85) {
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baseRiskReward = 2.0 // Higher reward target for high confidence
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} else if (confidence < 70) {
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baseRiskReward = 1.2 // Lower reward target for low confidence
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}
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const takeProfitPercent = stopLossPercent * baseRiskReward
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return Math.max(0.5, Math.min(5.0, takeProfitPercent)) // Cap between 0.5% and 5%
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}
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private async executeTrade(decision: any): Promise<void> {
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@@ -1107,8 +1170,7 @@ ${validResults.map(r => `• ${r.timeframe}: ${r.analysis?.recommendation} (${r.
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timeframe: session.timeframe,
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tradingAmount: settings.tradingAmount || 100,
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maxLeverage: settings.maxLeverage || 3,
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stopLossPercent: settings.stopLossPercent || 2,
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takeProfitPercent: settings.takeProfitPercent || 6,
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// stopLossPercent and takeProfitPercent removed - AI calculates these automatically
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maxDailyTrades: settings.maxDailyTrades || 5,
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riskPercentage: settings.riskPercentage || 2
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}
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