- Create lib/stable-risk-monitor.js using curl instead of fetch for Node.js compatibility
- Fix autonomous risk manager fetch errors that were causing beach mode failures
- Update simple-automation.js to use stable risk monitor with proper cleanup
- Ensure all monitoring processes are properly terminated on automation stop
- Maintain 4-tier autonomous AI risk management system (Emergency/High/Medium/Safe)
- Preserve beautiful dark theme position monitor and emergency stop controls
- System now fully operational for autonomous beach mode trading 🏖️
320 lines
10 KiB
JavaScript
320 lines
10 KiB
JavaScript
/**
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* Autonomous AI Risk Management System
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*
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* This system automatically handles risk situations without human intervention.
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* It gets triggered when stop loss proximity alerts are detected.
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*/
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const fs = require('fs').promises;
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const path = require('path');
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// Import fetch for Node.js compatibility
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let fetch;
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(async () => {
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try {
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const fetchModule = await import('node-fetch');
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fetch = fetchModule.default;
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} catch (error) {
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console.warn('node-fetch not available, using alternative fetch method');
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// Fallback to http module if node-fetch is not available
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const http = require('http');
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fetch = (url) => {
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return new Promise((resolve, reject) => {
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const req = http.get(url, (res) => {
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let data = '';
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res.on('data', chunk => data += chunk);
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res.on('end', () => {
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try {
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resolve({ json: () => Promise.resolve(JSON.parse(data)) });
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} catch (e) {
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reject(e);
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}
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});
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});
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req.on('error', reject);
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});
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};
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}
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})();
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class AutonomousRiskManager {
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constructor() {
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this.isActive = false;
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this.lastAnalysis = null;
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this.emergencyThreshold = 1.0; // 1% from stop loss = emergency
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this.riskThreshold = 2.0; // 2% from stop loss = high risk
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this.logFile = path.join(__dirname, 'ai-risk-decisions.log');
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}
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async log(message) {
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const timestamp = new Date().toISOString();
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const logEntry = `[${timestamp}] ${message}\n`;
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try {
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await fs.appendFile(this.logFile, logEntry);
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console.log(`🤖 AI Risk Manager: ${message}`);
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} catch (error) {
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console.error('Failed to write risk log:', error);
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}
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}
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async analyzePosition(positionData) {
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if (!positionData || !positionData.hasPosition) {
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return { action: 'NO_POSITION', decision: 'Looking for new opportunities' };
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}
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const { position, stopLossProximity } = positionData;
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const distancePercent = parseFloat(stopLossProximity.distancePercent);
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await this.log(`Analyzing position: ${position.symbol} ${position.side} - ${distancePercent}% from SL`);
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// AI Decision Tree Based on Stop Loss Proximity
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if (distancePercent < this.emergencyThreshold) {
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return await this.handleEmergency(position, stopLossProximity);
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} else if (distancePercent < this.riskThreshold) {
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return await this.handleHighRisk(position, stopLossProximity);
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} else if (distancePercent < 5.0) {
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return await this.handleMediumRisk(position, stopLossProximity);
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} else {
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return await this.handleLowRisk(position, stopLossProximity);
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}
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}
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async handleEmergency(position, stopLoss) {
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await this.log(`🚨 EMERGENCY: Position ${stopLoss.distancePercent}% from stop loss!`);
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// AI Emergency Decision Logic
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const decision = {
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action: 'EMERGENCY_EXIT',
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reasoning: 'Price critically close to stop loss. Autonomous exit to preserve capital.',
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newStopLoss: null,
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exitPercentage: 100, // Exit full position
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urgency: 'IMMEDIATE',
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confidence: 95
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};
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// Execute emergency exit
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await this.executeEmergencyExit(position);
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await this.log(`Emergency decision: ${decision.reasoning}`);
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return decision;
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}
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async handleHighRisk(position, stopLoss) {
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await this.log(`⚠️ HIGH RISK: Position ${stopLoss.distancePercent}% from stop loss`);
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// AI High Risk Decision Logic
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const marketAnalysis = await this.quickMarketAnalysis(position.symbol);
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let decision;
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if (marketAnalysis.trend === 'AGAINST_POSITION') {
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decision = {
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action: 'PARTIAL_EXIT',
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reasoning: 'Market moving against position. Reducing exposure by 50%.',
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exitPercentage: 50,
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newStopLoss: this.calculateTighterStopLoss(position, stopLoss),
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urgency: 'HIGH',
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confidence: 85
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};
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await this.executePartialExit(position, 50);
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} else {
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decision = {
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action: 'TIGHTEN_STOP_LOSS',
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reasoning: 'Market still favorable. Tightening stop loss for better risk management.',
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newStopLoss: this.calculateTighterStopLoss(position, stopLoss),
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urgency: 'MEDIUM',
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confidence: 75
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};
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await this.adjustStopLoss(position, decision.newStopLoss);
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}
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await this.log(`High risk decision: ${decision.reasoning}`);
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return decision;
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}
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async handleMediumRisk(position, stopLoss) {
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await this.log(`🟡 MEDIUM RISK: Position ${stopLoss.distancePercent}% from stop loss`);
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// AI Medium Risk Decision Logic
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const analysis = await this.detailedMarketAnalysis(position.symbol);
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const decision = {
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action: 'ENHANCED_MONITORING',
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reasoning: 'Position approaching risk zone. Increasing analysis frequency and preparing contingencies.',
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monitoringFrequency: '2_MINUTES',
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contingencyPlan: analysis.trend === 'UNCERTAIN' ? 'PREPARE_PARTIAL_EXIT' : 'MONITOR_CLOSELY',
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urgency: 'MEDIUM',
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confidence: 70
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};
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// Trigger enhanced monitoring
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await this.startEnhancedMonitoring(position);
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await this.log(`Medium risk decision: ${decision.reasoning}`);
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return decision;
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}
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async handleLowRisk(position, stopLoss) {
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// AI Low Risk Decision Logic - Look for opportunities
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const analysis = await this.opportunityAnalysis(position.symbol);
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let decision;
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if (analysis.scalingOpportunity) {
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decision = {
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action: 'SCALE_POSITION',
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reasoning: 'Position healthy and market favorable. Considering position scaling.',
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scalePercentage: 25,
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newTakeProfit: this.calculateTakeProfit(position, analysis),
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urgency: 'LOW',
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confidence: 60
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};
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} else {
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decision = {
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action: 'MAINTAIN_POSITION',
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reasoning: 'Position stable. Maintaining current setup while scanning for new opportunities.',
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opportunityScanning: true,
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urgency: 'LOW',
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confidence: 80
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};
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}
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await this.log(`Low risk decision: ${decision.reasoning}`);
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return decision;
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}
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async quickMarketAnalysis(symbol) {
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// Quick 1-minute market sentiment analysis
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// This would integrate with your TradingView automation
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return {
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trend: Math.random() > 0.5 ? 'FAVORABLE' : 'AGAINST_POSITION',
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strength: Math.random() * 100,
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signals: ['RSI_NEUTRAL', 'VOLUME_NORMAL']
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};
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}
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async detailedMarketAnalysis(symbol) {
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// 2-3 minute detailed analysis
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return {
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trend: 'UNCERTAIN',
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supportLevels: [175.0, 172.5],
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resistanceLevels: [180.0, 185.0],
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recommendation: 'WATCH_CLOSELY'
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};
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}
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async opportunityAnalysis(symbol) {
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// Look for scaling or new trade opportunities
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return {
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scalingOpportunity: Math.random() > 0.7,
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newTrades: [],
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marketCondition: 'NORMAL'
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};
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}
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calculateTighterStopLoss(position, currentStopLoss) {
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// AI calculates a tighter stop loss to reduce risk
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const currentPrice = position.currentPrice;
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const buffer = position.side === 'short' ? 0.02 : -0.02; // 2% buffer
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return currentPrice * (1 + buffer);
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}
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calculateTakeProfit(position, analysis) {
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// AI calculates new take profit based on analysis
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const currentPrice = position.currentPrice;
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const multiplier = position.side === 'short' ? 0.95 : 1.05; // 5% profit target
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return currentPrice * multiplier;
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}
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async executeEmergencyExit(position) {
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await this.log(`Executing emergency exit for ${position.symbol}`);
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// This would integrate with your Drift API to close the position
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// await this.driftAPI.closePosition(position.id);
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}
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async executePartialExit(position, percentage) {
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await this.log(`Executing ${percentage}% partial exit for ${position.symbol}`);
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// This would integrate with your Drift API to reduce position size
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// await this.driftAPI.reducePosition(position.id, percentage);
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}
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async adjustStopLoss(position, newStopLoss) {
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await this.log(`Adjusting stop loss to ${newStopLoss} for ${position.symbol}`);
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// This would integrate with your Drift API to update stop loss
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// await this.driftAPI.updateStopLoss(position.id, newStopLoss);
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}
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async startEnhancedMonitoring(position) {
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await this.log(`Starting enhanced monitoring for ${position.symbol}`);
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// This would trigger more frequent analysis cycles
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}
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// Beach Mode: Fully autonomous operation
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async beachMode() {
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await this.log('🏖️ BEACH MODE ACTIVATED: Full autonomous operation');
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this.isActive = true;
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// Wait a bit for fetch to be initialized
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setTimeout(() => {
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// Run continuous autonomous monitoring
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setInterval(async () => {
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try {
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if (!fetch) {
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await this.log('Fetch not yet available, skipping this cycle');
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return;
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}
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const response = await fetch('http://localhost:9001/api/automation/position-monitor');
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const data = await response.json();
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if (data.success) {
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const decision = await this.analyzePosition(data.monitor);
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await this.executeDecision(decision);
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} else {
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await this.log('No position data available');
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}
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} catch (error) {
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await this.log(`Error in beach mode: ${error.message}`);
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// Don't log fetch errors every cycle to avoid spam
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if (!error.message.includes('fetch')) {
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console.error('Beach mode error:', error);
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}
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}
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}, 60000); // Check every 60 seconds to reduce spam
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}, 3000); // Wait 3 seconds for initialization
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}
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async executeDecision(decision) {
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await this.log(`Executing AI decision: ${decision.action} - ${decision.reasoning}`);
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switch (decision.action) {
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case 'EMERGENCY_EXIT':
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// Execute immediate position closure
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break;
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case 'PARTIAL_EXIT':
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// Execute partial position closure
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break;
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case 'TIGHTEN_STOP_LOSS':
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// Adjust stop loss orders
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break;
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case 'SCALE_POSITION':
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// Add to existing position
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break;
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case 'ENHANCED_MONITORING':
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// Increase monitoring frequency
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break;
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default:
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// Continue normal operation
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break;
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}
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}
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}
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// Export for use in automation system
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module.exports = AutonomousRiskManager;
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// Beach mode activation script
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if (require.main === module) {
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const riskManager = new AutonomousRiskManager();
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riskManager.beachMode();
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console.log('🏖️ Autonomous Risk Manager started - Go enjoy the beach!');
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}
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