Autonomous Stock Intelligence Agent

# Deploy Autonomous Cron Agents with Swarms API on Cloudflare Workers Deploy intelligent, self-executing AI agents powered by Swarms API on Cloudflare's global edge network. Build production-ready autonomous agents that run on automated schedules, fetch real-time data, perform sophisticated analysis using Swarms AI, and take automated actions across 330+ cities worldwide. ## What Are Autonomous Cron Agents? Autonomous cron agents combine **Swarms API intelligence** with **Cloudflare Workers edge computing** to create AI-powered systems that: - **Execute automatically** on predefined schedules without human intervention - **Fetch real-time data** from external sources (APIs, databases, IoT sensors) - **Perform intelligent analysis** using specialized Swarms AI agents - **Take automated actions** based on analysis findings (alerts, reports, decisions) - **Scale globally** on Cloudflare's edge network with sub-100ms response times worldwide ## Architecture Overview ``` ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ Cloudflare │ │ Data Sources │ │ Swarms API │ │ Workers Cron │ │ │ │ │ │ "0 */3 * * *" │───▶│ Yahoo Finance │───▶│ Multi-Agent │ │ │ │ Medical APIs │ │ Intelligence │ │ scheduled() │ │ News Feeds │ │ Autonomous │ │ Global Edge │ │ IoT Sensors │ │ Actions │ └─────────────────┘ └─────────────────┘ └─────────────────┘ ``` **Key Benefits:** - **24/7 Autonomous Operation**: Zero human intervention required - **Global Edge Deployment**: Cloudflare's 330+ city network for ultra-low latency - **Swarms AI Intelligence**: Live data analysis with specialized AI agents - **Automated Decision Making**: Smart actions based on Swarms agent insights - **Enterprise Reliability**: Production-grade error handling and monitoring ## Quick Start: Deploy Autonomous Stock Analysis Agent Create your first autonomous financial intelligence agent powered by Swarms API and deployed on Cloudflare Workers edge network. ### 1. Cloudflare Workers Project Setup ```bash # Create new Cloudflare Workers project npm create cloudflare@latest autonomous-stock-agent cd autonomous-stock-agent # Install dependencies for Swarms API integration npm run start ``` ### 2. Configure Cloudflare Workers Cron Schedule Edit `wrangler.jsonc` to set up autonomous execution: ```jsonc { "$schema": "node_modules/wrangler/config-schema.json", "name": "autonomous-stock-agent", "main": "src/index.js", "compatibility_date": "2025-08-03", "observability": { "enabled": true }, "triggers": { "crons": [ "0 */3 * * *" // Cloudflare Workers cron: autonomous analysis every 3 hours ] }, "vars": { "SWARMS_API_KEY": "your-swarms-api-key" // Your Swarms API key } } ``` ### 3. Cloudflare Workers + Swarms API Implementation Create `src/index.js`: ```javascript export default { // Cloudflare Workers fetch handler - Web interface for monitoring async fetch(request, env, ctx) { const url = new URL(request.url); if (url.pathname === '/') { return new Response(` Autonomous Stock Intelligence Agent

🚀 Status: Swarms AI agents active on Cloudflare edge, monitoring markets 24/7

Swarms AI agents analyzing live market data on Cloudflare edge...

`, { headers: { 'Content-Type': 'text/html' } }); } if (url.pathname === '/execute') { try { const result = await executeAutonomousAnalysis(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(executeAutonomousAnalysis(event, env)); } }; // Core function combining Cloudflare Workers execution with Swarms API intelligence async function executeAutonomousAnalysis(event, env) { console.log('🤖 Cloudflare Workers executing Swarms AI stock intelligence 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 - 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 - 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: LIVE 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 = \`

🚀 Autonomous Analysis Execution Complete

Significant Market Movements Detected: \${significantMovements || 'Market within normal volatility parameters'}

Next Autonomous Cycle: Scheduled automatically

🧠 Autonomous AI Intelligence Report

Generated by autonomous Swarms AI agents with real-time market intelligence:

\${intelligenceReport}

📊 Real-Time Market Intelligence

\${Object.entries(marketIntelligence) .filter(([symbol, data]) => !data.error) .map(([symbol, data]) => \` \`).join('')}

Symbol	Price	Change	Volume	Market State	Data Quality
\${symbol}	$\${data.price?.toFixed(2) \|\| 'N/A'}	\${parseFloat(data.change_percent) >= 0 ? '+' : ''}\${data.change_percent}%	\${data.volume?.toLocaleString() \|\| 'N/A'}	\${data.market_state \|\| 'N/A'}	\${data.data_quality \|\| 'N/A'}

\`; const formData = new FormData(); formData.append('from', \`Autonomous Market Intelligence \`); formData.append('to', env.AUTONOMOUS_ALERTS_EMAIL); formData.append('subject', alertSubject); formData.append('html', alertBody); const response = await fetch(\`https://api.mailgun.net/v3/\${env.MAILGUN_DOMAIN}/messages\`, { method: 'POST', headers: { 'Authorization': \`Basic \${btoa(\`api:\${env.MAILGUN_API_KEY}\`)}\` }, body: formData }); if (response.ok) { console.log('✅ Autonomous alert system executed successfully'); } else { console.error('❌ Autonomous alert system execution failed:', await response.text()); } } catch (error) { console.error('❌ Autonomous alert system error:', error.message); } } ``` ## Autonomous Healthcare Intelligence Agent Deploy autonomous healthcare agents that provide 24/7 patient monitoring with intelligent analysis: ```javascript export default { async fetch(request, env, ctx) { const url = new URL(request.url); if (url.pathname === '/') { return new Response(` Autonomous Healthcare Intelligence

✅ Normal Status

Patients: 15

Stable vital signs

Autonomous monitoring active

⚠️ Monitoring Required

Patients: 3

Elevated parameters

Enhanced surveillance

🚨 Critical Alert

Patients: 1

Immediate intervention

Emergency protocols active

`, { headers: { 'Content-Type': 'text/html' } }); } if (url.pathname === '/health-intelligence') { try { const result = await executeAutonomousHealthIntelligence(null, env); return new Response(JSON.stringify({ message: 'Autonomous health intelligence analysis executed', timestamp: new Date().toISOString(), result }), { headers: { 'Content-Type': 'application/json' } }); } catch (error) { return new Response(JSON.stringify({ error: error.message, system: 'autonomous-healthcare-intelligence' }), { status: 500, headers: { 'Content-Type': 'application/json' } }); } } return new Response('Autonomous Healthcare Intelligence Endpoint Not Found', { status: 404 }); }, // Autonomous healthcare monitoring - every 30 minutes async scheduled(event, env, ctx) { console.log('🏥 Autonomous healthcare intelligence system triggered'); ctx.waitUntil(executeAutonomousHealthIntelligence(event, env)); } }; async function executeAutonomousHealthIntelligence(event, env) { console.log('🏥 Autonomous healthcare intelligence system executing...'); try { // Autonomous patient data collection const patientIntelligence = await collectPatientIntelligence(); // Deploy autonomous Swarms healthcare AI agents const healthIntelligenceConfig = { name: "Autonomous Healthcare Intelligence Swarm", description: "24/7 autonomous patient monitoring and medical analysis system", agents: [ { agent_name: "Autonomous Vital Signs Intelligence Agent", system_prompt: \`You are an autonomous healthcare AI agent providing 24/7 patient monitoring. Analyze: - Continuous heart rate monitoring and arrhythmia detection (Normal: 60-100 bpm) - Autonomous blood pressure trend analysis (Normal: <140/90 mmHg) - Real-time oxygen saturation monitoring (Normal: >95%) - Continuous temperature surveillance (Normal: 97-99°F) Classify each patient autonomously as: NORMAL_MONITORING, ENHANCED_SURVEILLANCE, or CRITICAL_INTERVENTION For critical findings, trigger autonomous emergency protocols.\`, model_name: "gpt-4o-mini", max_tokens: 2500, temperature: 0.05 }, { agent_name: "Autonomous Medical Risk Assessment Agent", system_prompt: \`You are an autonomous medical AI providing continuous risk assessment. Monitor: - Autonomous drug interaction analysis and medication safety - Real-time disease progression and complication detection - Continuous fall risk and mobility assessment - Autonomous emergency intervention requirements Provide autonomous risk stratification and intervention priorities. Focus on predictive analytics and early autonomous warning systems.\`, model_name: "gpt-4o-mini", max_tokens: 2500, temperature: 0.05 } ], swarm_type: "ConcurrentWorkflow", task: \`Execute autonomous 24/7 healthcare intelligence analysis: PATIENT INTELLIGENCE DATA: \${JSON.stringify(patientIntelligence, null, 2)} Generate autonomous healthcare intelligence including: 1. Individual patient autonomous risk assessment and monitoring status 2. Critical autonomous intervention requirements and emergency protocols 3. Autonomous alert recommendations and escalation procedures 4. Predictive health analytics and preventive care suggestions 5. Next autonomous monitoring cycle parameters and priorities Focus on autonomous decision support for medical staff and emergency response systems.\`, max_loops: 1 }; 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(healthIntelligenceConfig) }); if (!response.ok) { throw new Error(\`Autonomous healthcare intelligence failed: \${response.status}\`); } const result = await response.json(); const healthIntelligence = result.output; // Autonomous severity assessment const severity = assessAutonomousHealthSeverity(healthIntelligence); console.log(\`✅ Autonomous healthcare intelligence completed - Severity: \${severity}\`); // Autonomous emergency response system if (severity === 'critical' && env.HEALTHCARE_EMERGENCY_EMAIL) { console.log('🚨 Executing autonomous emergency response protocol...'); await executeAutonomousEmergencyResponse(env, healthIntelligence, patientIntelligence); } return { success: true, analysis: healthIntelligence, severity: severity, patientsAnalyzed: Object.keys(patientIntelligence).length, executionTime: new Date().toISOString(), nextAutonomousMonitoring: 'Scheduled for next autonomous cycle', autonomousSystem: 'Swarms Healthcare AI' }; } catch (error) { console.error('❌ Autonomous healthcare intelligence failed:', error.message); return { success: false, error: error.message, severity: 'autonomous_system_error', executionTime: new Date().toISOString() }; } } // Autonomous patient intelligence collection async function collectPatientIntelligence() { // In production, connect to EMR systems, IoT devices, and medical databases return { "ICU_Autonomous_001": { name: "Sarah Johnson", age: 68, room: "ICU-205", condition: "Post-cardiac surgery - autonomous monitoring", vitals: { heart_rate: 95, blood_pressure_systolic: 135, blood_pressure_diastolic: 88, oxygen_saturation: 97, temperature: 98.8, respiratory_rate: 16 }, medications: ["Metoprolol", "Warfarin", "Furosemide"], risk_factors: ["Diabetes", "Hypertension", "Previous MI"], autonomous_monitoring_level: "enhanced", last_updated: new Date().toISOString() }, "Ward_Autonomous_002": { name: "Michael Chen", age: 45, room: "Ward-301", condition: "Pneumonia recovery - autonomous surveillance", vitals: { heart_rate: 88, blood_pressure_systolic: 128, blood_pressure_diastolic: 82, oxygen_saturation: 94, // Slightly low - autonomous flag temperature: 100.1, // Mild fever - autonomous flag respiratory_rate: 20 }, medications: ["Azithromycin", "Albuterol"], risk_factors: ["Asthma", "Smoking history"], autonomous_monitoring_level: "standard", last_updated: new Date().toISOString() }, "Critical_Autonomous_003": { name: "Elena Rodriguez", age: 72, room: "ICU-208", condition: "Sepsis - autonomous critical monitoring", vitals: { heart_rate: 115, // Elevated - autonomous critical flag blood_pressure_systolic: 85, // Low - autonomous critical flag blood_pressure_diastolic: 55, // Low - autonomous critical flag oxygen_saturation: 89, // Critical - autonomous emergency flag temperature: 103.2, // High fever - autonomous critical flag respiratory_rate: 28 // Elevated - autonomous critical flag }, medications: ["Vancomycin", "Norepinephrine", "Hydrocortisone"], risk_factors: ["Sepsis", "Multi-organ dysfunction", "Advanced age"], autonomous_monitoring_level: "critical", last_updated: new Date().toISOString() } }; } function assessAutonomousHealthSeverity(intelligenceReport) { const reportText = typeof intelligenceReport === 'string' ? intelligenceReport : JSON.stringify(intelligenceReport); if (reportText.includes('CRITICAL_INTERVENTION') || reportText.includes('EMERGENCY') || reportText.includes('IMMEDIATE_ACTION') || reportText.includes('SEPSIS') || reportText.includes('CARDIAC_ARREST') || reportText.includes('RESPIRATORY_FAILURE')) { return 'critical'; } else if (reportText.includes('ENHANCED_SURVEILLANCE') || reportText.includes('ELEVATED') || reportText.includes('CONCERNING') || reportText.includes('ABNORMAL') || reportText.includes('MONITORING_REQUIRED')) { return 'warning'; } return 'normal'; } async function executeAutonomousEmergencyResponse(env, intelligenceReport, patientIntelligence) { console.log('🚨 Autonomous emergency response protocol executing...'); // Autonomous emergency response would include: // - Immediate medical team notifications // - Automated equipment preparation alerts // - Emergency response coordination // - Real-time escalation to on-call physicians // - Integration with hospital emergency systems } ``` ## Deployment & Configuration ### Environment Variables Configure your Cloudflare Workers deployment with Swarms API: ```jsonc { "vars": { "SWARMS_API_KEY": "your-swarms-api-key", "AUTONOMOUS_ALERTS_EMAIL": "intelligence@yourcompany.com", "HEALTHCARE_EMERGENCY_EMAIL": "emergency@hospital.com", "MAILGUN_API_KEY": "your-mailgun-key", "MAILGUN_DOMAIN": "intelligence.yourcompany.com" } } ``` ### Cloudflare Workers Cron Scheduling Patterns ```jsonc { "triggers": { "crons": [ "0 */3 * * *", // Financial Swarms agents every 3 hours "*/30 * * * *", // Healthcare Swarms monitoring every 30 minutes "0 9,15,21 * * *", // Daily Swarms intelligence briefings "*/5 * * * *" // Critical Swarms systems every 5 minutes ] } } ``` ### Cloudflare Workers Deployment Commands ```bash # Deploy Swarms AI agents to Cloudflare Workers wrangler deploy # Monitor Cloudflare Workers execution logs wrangler tail # Test Cloudflare Workers cron triggers manually wrangler triggers cron "0 */3 * * *" ``` ## Production Best Practices ### 1. **Cloudflare Workers + Swarms API Integration** - Implement comprehensive error handling for both platforms - Use Cloudflare Workers KV for caching Swarms API responses - Leverage Cloudflare Workers analytics for monitoring ### 2. **Cost Optimization** - Monitor Swarms API usage and costs - Use Cloudflare Workers free tier (100K requests/day) - Implement intelligent batching for Swarms API efficiency - Use cost-effective Swarms models (gpt-4o-mini recommended) ### 3. **Security & Compliance** - Secure Swarms API keys in Cloudflare Workers environment variables - Use Cloudflare Workers secrets for sensitive data - Audit AI decisions and maintain compliance logs - HIPAA compliance for healthcare applications ### 4. **Monitoring & Observability** - Track Cloudflare Workers performance metrics - Monitor Swarms API response times and success rates - Use Cloudflare Workers analytics dashboard - Set up alerts for system failures and anomalies This deployment architecture combines **Swarms API's advanced multi-agent intelligence** with **Cloudflare Workers' global edge infrastructure**, enabling truly intelligent, self-executing AI agents that operate continuously across 330+ cities worldwide, providing real-time intelligence and automated decision-making capabilities with ultra-low latency.

🤖 Autonomous Stock Intelligence Agent