- Fixed field mapping between API and frontend (amount→positionSize, entry→entryPrice, createdAt→timestamp) - Updated API sync function to properly convert API trade format to frontend format - Resolved display issues: 'Invalid Date', missing entry price, missing trade size - Added trade monitoring system and automation improvements - Enhanced automation with simple-automation.js for reliable 24/7 operation - Working automation now detecting 85% confidence BUY signals and executing trades
157 lines
5.2 KiB
JavaScript
157 lines
5.2 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Simple 24/7 Trading Automation
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* Focuses on core trading without complex sentiment analysis
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*/
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class SimpleAutomation {
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constructor() {
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this.config = {
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symbol: 'SOLUSD',
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timeframe: '60',
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intervalMinutes: 60,
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autoExecuteThreshold: 60,
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apiHost: '192.168.0.1:9001'
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};
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this.cycleCount = 0;
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this.stats = {
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startTime: new Date(),
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totalCycles: 0,
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totalTrades: 0,
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lastSignal: null,
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lastTrade: null
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};
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}
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async log(message) {
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const timestamp = new Date().toISOString();
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console.log(`[${timestamp}] ${message}`);
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}
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async makeRequest(url, options = {}) {
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try {
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const response = await fetch(url, options);
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return await response.json();
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} catch (error) {
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await this.log(`❌ Request failed: ${error.message}`);
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return null;
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}
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}
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async runAnalysisCycle() {
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this.stats.totalCycles++;
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await this.log(`🔄 Analysis cycle #${this.stats.totalCycles}`);
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try {
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// Get current technical analysis
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const data = await this.makeRequest(`http://${this.config.apiHost}/api/ai-analysis/latest?symbol=${this.config.symbol}&timeframe=${this.config.timeframe}`);
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if (data && data.success && data.data && data.data.analysis) {
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const analysis = data.data.analysis;
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this.stats.lastSignal = {
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time: new Date(),
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recommendation: analysis.recommendation,
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confidence: analysis.confidence
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};
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await this.log(`📊 Signal: ${analysis.recommendation} (${analysis.confidence}% confidence)`);
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// Execute trade if confidence is high enough
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if (analysis.confidence >= this.config.autoExecuteThreshold &&
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(analysis.recommendation === 'BUY' || analysis.recommendation === 'SELL')) {
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await this.log(`🚀 Executing ${analysis.recommendation} trade with ${analysis.confidence}% confidence`);
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const trade = await this.executeTrade(analysis);
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if (trade && trade.success) {
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this.stats.totalTrades++;
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this.stats.lastTrade = {
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time: new Date(),
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type: analysis.recommendation,
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confidence: analysis.confidence,
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price: trade.trade?.price || 'unknown'
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};
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await this.log(`✅ Trade executed successfully: ${analysis.recommendation} at ${trade.trade?.price || 'unknown'}`);
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} else {
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await this.log(`❌ Trade execution failed`);
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}
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} else {
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await this.log(`⏸️ Confidence ${analysis.confidence}% below threshold ${this.config.autoExecuteThreshold}% - holding`);
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}
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} else {
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await this.log(`❌ No valid analysis data received`);
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}
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} catch (error) {
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await this.log(`❌ Cycle error: ${error.message}`);
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}
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// Schedule next cycle
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const nextCycle = new Date(Date.now() + this.config.intervalMinutes * 60 * 1000);
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await this.log(`⏰ Next cycle: ${nextCycle.toLocaleTimeString()}`);
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setTimeout(() => this.runAnalysisCycle(), this.config.intervalMinutes * 60 * 1000);
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}
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async executeTrade(analysis) {
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try {
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const tradeData = {
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symbol: this.config.symbol,
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side: analysis.recommendation,
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amount: 100, // $100 paper trade
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entry: analysis.currentPrice || 150, // Fallback price
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confidence: analysis.confidence,
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reasoning: analysis.reasoning,
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source: 'simple_automation_24x7'
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};
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const result = await this.makeRequest(`http://${this.config.apiHost}/api/safe-paper-trading/create-trade`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(tradeData)
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});
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return result;
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} catch (error) {
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await this.log(`❌ Trade execution error: ${error.message}`);
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return null;
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}
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}
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async printStats() {
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const uptime = Math.floor((Date.now() - this.stats.startTime) / 1000 / 60); // minutes
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await this.log(`📈 Stats: ${this.stats.totalCycles} cycles, ${this.stats.totalTrades} trades, ${uptime}m uptime`);
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if (this.stats.lastSignal) {
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const signalAge = Math.floor((Date.now() - this.stats.lastSignal.time) / 1000 / 60);
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await this.log(`🎯 Last signal: ${this.stats.lastSignal.recommendation} (${this.stats.lastSignal.confidence}%) ${signalAge}m ago`);
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}
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if (this.stats.lastTrade) {
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const tradeAge = Math.floor((Date.now() - this.stats.lastTrade.time) / 1000 / 60);
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await this.log(`💰 Last trade: ${this.stats.lastTrade.type} at ${this.stats.lastTrade.price} ${tradeAge}m ago`);
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}
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}
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async start() {
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await this.log('🚀 Simple 24/7 Trading Automation Started');
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await this.log(`📊 Config: ${this.config.symbol} every ${this.config.intervalMinutes}m, threshold: ${this.config.autoExecuteThreshold}%`);
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// Print stats every 30 minutes
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setInterval(() => this.printStats(), 30 * 60 * 1000);
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// Start first cycle
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await this.runAnalysisCycle();
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}
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}
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// Start the automation
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const automation = new SimpleAutomation();
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automation.start().catch(error => {
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console.error('💥 Automation failed to start:', error);
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process.exit(1);
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});
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