Status: Active |
`, { headers: { 'Content-Type': 'text/html' } }); } if (url.pathname === '/execute') { try { const result = await executeAnalysis(null, env); return new Response(JSON.stringify({ message: 'Autonomous analysis executed successfully', timestamp: new Date().toISOString(), result }), { headers: { 'Content-Type': 'application/json' } }); } catch (error) { return new Response(JSON.stringify({ error: error.message, timestamp: new Date().toISOString(), system: 'autonomous-agent' }), { status: 500, headers: { 'Content-Type': 'application/json' } }); } } return new Response('Autonomous Agent Endpoint Not Found', { status: 404 }); }, // Cloudflare Workers cron handler - triggered by scheduled events async scheduled(event, env, ctx) { console.log('🚀 Cloudflare Workers cron triggered - executing Swarms AI analysis'); ctx.waitUntil(executeAnalysis(event, env)); } }; // Core function combining Cloudflare Workers execution with Swarms API intelligence async function executeAnalysis(event, env) { console.log('🤖 Cloudflare Workers executing Swarms AI analysis...'); try { // Step 1: Autonomous data collection from multiple sources console.log('📊 Executing autonomous data collection...'); const marketIntelligence = await collectMarketIntelligence(); const validData = Object.keys(marketIntelligence).filter(symbol => !marketIntelligence[symbol].error); if (validData.length === 0) { throw new Error('Autonomous data collection failed - no valid market intelligence gathered'); } console.log('✅ Autonomous data collection successful: ' + validData.length + ' sources'); // Step 2: Deploy Swarms AI agents for autonomous analysis console.log('🧠 Deploying Swarms AI agents for autonomous intelligence generation...'); const swarmConfiguration = { name: "Autonomous Market Intelligence Swarm", description: "Self-executing financial analysis and decision support system", agents: [ { agent_name: "Autonomous Technical Intelligence Agent", system_prompt: "You are an autonomous technical analysis AI agent operating 24/7. Provide: Real-time trend identification and momentum analysis, dynamic support/resistance level calculations, technical indicator signals (RSI, MACD, moving averages), autonomous price targets and risk assessments, and self-executing trading signal recommendations. Format your analysis as a professional autonomous intelligence briefing for automated systems.", model_name: "gpt-4o-mini", max_tokens: 2500, temperature: 0.2 }, { agent_name: "Autonomous Market Sentiment Agent", system_prompt: "You are an autonomous market sentiment analysis AI agent. Continuously evaluate: Real-time market psychology and investor behavior patterns, volume analysis and institutional activity detection, risk-on vs risk-off sentiment shifts, autonomous sector rotation and leadership identification, and self-executing market timing recommendations. Provide actionable intelligence for autonomous decision-making systems.", model_name: "gpt-4o-mini", max_tokens: 2500, temperature: 0.3 } ], swarm_type: "ConcurrentWorkflow", task: `Execute autonomous analysis of real-time market intelligence: ${JSON.stringify(marketIntelligence, null, 2)} Generate comprehensive autonomous intelligence report including: 1. Technical analysis with specific autonomous entry/exit recommendations 2. Market sentiment assessment with timing signals for automated systems 3. Risk management protocols for autonomous execution 4. Self-executing action recommendations 5. Key monitoring parameters for next autonomous cycle Focus on actionable intelligence for autonomous trading systems and automated decision making.`, max_loops: 1 }; // Execute Swarms API call from Cloudflare Workers edge const response = await fetch('https://api.swarms.world/v1/swarm/completions', { method: 'POST', headers: { 'x-api-key': env.SWARMS_API_KEY, 'Content-Type': 'application/json' }, body: JSON.stringify(swarmConfiguration) }); if (!response.ok) { const errorText = await response.text(); throw new Error('Swarms API autonomous execution failed: ' + response.status + ' - ' + errorText); } const analysisResult = await response.json(); const intelligenceReport = analysisResult.output; console.log('✅ Autonomous Swarms AI analysis completed successfully'); console.log('💰 Autonomous execution cost: ' + (analysisResult.usage?.billing_info?.total_cost || 'N/A')); // Step 3: Execute autonomous actions based on intelligence if (env.AUTONOMOUS_ALERTS_EMAIL) { console.log('📧 Executing autonomous alert system...'); await executeAutonomousAlerts(env, intelligenceReport, marketIntelligence); } return { success: true, analysis: intelligenceReport, symbolsAnalyzed: validData.length, cost: analysisResult.usage?.billing_info?.total_cost || analysisResult.metadata?.billing_info?.total_cost, executionTime: new Date().toISOString(), nextExecution: 'Scheduled for next autonomous cron trigger', autonomousSystem: 'Swarms AI Agents' }; } catch (error) { console.error('❌ Autonomous analysis execution failed:', error.message); return { success: false, error: error.message, executionTime: new Date().toISOString(), autonomousSystem: 'Error in autonomous pipeline' }; } } // Autonomous market intelligence collection async function collectMarketIntelligence() { const targetSymbols = ['SPY', 'QQQ', 'AAPL', 'MSFT', 'NVDA', 'TSLA']; const marketIntelligence = {}; console.log('🎯 Executing autonomous multi-source data collection...'); const dataCollectionPromises = targetSymbols.map(async (symbol) => { try { const controller = new AbortController(); const timeout = setTimeout(() => controller.abort(), 10000); // Autonomous data collection from Yahoo Finance API const response = await fetch( 'https://query1.finance.yahoo.com/v8/finance/chart/' + symbol, { signal: controller.signal, headers: { 'User-Agent': 'Mozilla/5.0 (autonomous-swarms-agent) AppleWebKit/537.36' } } ); clearTimeout(timeout); if (!response.ok) { throw new Error('Autonomous data collection failed: HTTP ' + response.status); } const data = await response.json(); const chartResult = data.chart.result[0]; const meta = chartResult.meta; if (!meta) { throw new Error('Invalid market intelligence structure received'); } const currentPrice = meta.regularMarketPrice; const previousClose = meta.previousClose; const dayChange = currentPrice - previousClose; const changePercent = ((dayChange / previousClose) * 100).toFixed(2); console.log('📈 ' + symbol + ': $' + currentPrice + ' (' + changePercent + '%) - Autonomous collection successful'); return [symbol, { price: currentPrice, change: dayChange, change_percent: changePercent, volume: meta.regularMarketVolume || 0, market_cap: meta.marketCap || 0, pe_ratio: meta.trailingPE || 0, day_high: meta.regularMarketDayHigh, day_low: meta.regularMarketDayLow, fifty_two_week_high: meta.fiftyTwoWeekHigh, fifty_two_week_low: meta.fiftyTwoWeekLow, currency: meta.currency || 'USD', market_state: meta.marketState, autonomous_collection_time: new Date().toISOString(), data_quality: 'high' }]; } catch (error) { console.error('❌ Autonomous collection failed for ' + symbol + ':', error.message); return [symbol, { error: 'Autonomous collection failed: ' + error.message, autonomous_collection_time: new Date().toISOString(), data_quality: 'failed' }]; } }); const results = await Promise.allSettled(dataCollectionPromises); results.forEach((result) => { if (result.status === 'fulfilled' && result.value) { const [symbol, data] = result.value; marketIntelligence[symbol] = data; } }); const successfulCollections = Object.keys(marketIntelligence).filter(k => !marketIntelligence[k]?.error).length; console.log('📊 Autonomous intelligence collection completed: ' + successfulCollections + '/' + targetSymbols.length + ' successful'); return marketIntelligence; } // Autonomous alert and notification system async function executeAutonomousAlerts(env, intelligenceReport, marketIntelligence) { if (!env.MAILGUN_API_KEY || !env.MAILGUN_DOMAIN || !env.AUTONOMOUS_ALERTS_EMAIL) { console.log('⚠️ Autonomous alert system not configured - skipping notifications'); return; } try { // Autonomous detection of significant market movements const significantMovements = Object.entries(marketIntelligence) .filter(([symbol, data]) => data.change_percent && Math.abs(parseFloat(data.change_percent)) > 3) .map(([symbol, data]) => symbol + ': ' + data.change_percent + '%') .join(', '); const alertSubject = '🤖 Autonomous Market Intelligence Alert - ' + new Date().toLocaleDateString(); const alertBody = `Date: ${new Date().toLocaleString()}
Movements: ${significantMovements || 'Normal volatility'}
${intelligenceReport}
Powered by Swarms API
`; const formData = new FormData(); formData.append('from', 'Autonomous Market Intelligence