{ "id": "tPBS4o6KFeFMZuxJ", "meta": { "templateCredsSetupCompleted": true }, "name": "AI Trading Alert Bot", "tags": [], "nodes": [ { "id": "df58effa-87e1-49b9-97ea-61f70e0df077", "name": "Sticky Note - Main Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -2128, 48 ], "parameters": { "width": 820, "height": 720, "content": "## AI Trading Alert Bot\n\nAutomates market data fetching, technical analysis, and AI-powered buy/sell signal generation. Monitors multiple cryptocurrencies and stocks in real-time, analyzes price trends, and delivers actionable trading alerts.\n\n## How it works\n\n1. **Trigger** \u2014 Runs every 15 minutes or on manual trigger\n2. **Fetch Market Data** \u2014 Retrieves real-time price data from multiple sources\n3. **Technical Analysis** \u2014 Calculates indicators (RSI, MACD, Moving Averages)\n4. **AI Signal Generation** \u2014 Uses machine learning to predict buy/sell signals\n5. **Alert Processing** \u2014 Validates signals and filters false positives\n6. **Notifications** \u2014 Sends alerts via Email, Slack, and SMS\n7. **Database Storage** \u2014 Logs all signals and trade history\n\n## Setup steps\n\n1. **API Keys** \u2014 Configure CoinGecko, Alpha Vantage, or your preferred market data provider\n2. **Database** \u2014 Set up PostgreSQL table for trade history and signals\n3. **Notifications** \u2014 Configure Slack webhook, email SMTP, and SMS provider credentials\n4. **AI Model** \u2014 Replace AI endpoint with your trained model API\n5. **Trading Symbols** \u2014 Update symbol list (BTC, ETH, AAPL, GOOGL, etc.)\n6. **Test** \u2014 Run manually to verify all connections and validate signals" }, "typeVersion": 1 }, { "id": "e241f436-9465-4416-987e-c1bd09529e25", "name": "Sticky Note - Group 1: Trigger", "type": "n8n-nodes-base.stickyNote", "position": [ -1216, 144 ], "parameters": { "color": 3, "width": 468, "height": 465, "content": "## 1. Trigger\n\nAutomatically runs every 15 minutes to fetch fresh market data and generate trading signals" }, "typeVersion": 1 }, { "id": "a0b528ba-0f7a-40d8-a39d-e0be3723646f", "name": "Sticky Note - Group 2: Data Collection", "type": "n8n-nodes-base.stickyNote", "position": [ -704, 160 ], "parameters": { "color": 4, "width": 668, "height": 353, "content": "## 2. Fetch & Prepare Data\n\nCollects real-time market data from APIs and prepares it for technical analysis in parallel" }, "typeVersion": 1 }, { "id": "0a5bcdee-af88-48d6-af7c-39caad584c53", "name": "Sticky Note - Group 3: Analysis & AI", "type": "n8n-nodes-base.stickyNote", "position": [ -16, -160 ], "parameters": { "color": 7, "width": 684, "height": 905, "content": "## 3. Analysis & Signal Generation\n\nCalculates technical indicators and uses AI/ML model to generate buy/sell signals with confidence scores" }, "typeVersion": 1 }, { "id": "947d885d-6a03-41ed-a63e-baf777e03785", "name": "Sticky Note - Group 4: Alert & Execute", "type": "n8n-nodes-base.stickyNote", "position": [ 704, 32 ], "parameters": { "color": 6, "width": 960, "height": 697, "content": "## 4. Validate, Alert & Store\n\nFilters signals, sends notifications across multiple channels, logs trades, and stores in database" }, "typeVersion": 1 }, { "id": "e3fc0d75-1aba-4ff4-b964-3a442811c1fc", "name": "Market Data Trigger - Every 15 minutes", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -1088, 352 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "*/15 * * * *" } ] } }, "typeVersion": 1.2 }, { "id": "60e75270-eef8-440f-ae79-dd86ad82e51e", "name": "Fetch cryptocurrency prices from CoinGecko", "type": "n8n-nodes-base.httpRequest", "position": [ -864, 256 ], "parameters": { "url": "https://api.coingecko.com/api/v3/simple/price", "options": {} }, "typeVersion": 4.2 }, { "id": "d1da9648-5725-4cd0-924c-a830e03b45e3", "name": "Fetch stock prices from Alpha Vantage", "type": "n8n-nodes-base.httpRequest", "position": [ -864, 448 ], "parameters": { "url": "https://www.alphavantage.co/query", "options": {} }, "typeVersion": 4.2 }, { "id": "0472f691-42f8-42c8-9d76-bf9994a211c6", "name": "Combine crypto and stock market data", "type": "n8n-nodes-base.merge", "position": [ -640, 352 ], "parameters": { "mode": "combine", "options": {} }, "typeVersion": 3 }, { "id": "0b9f2def-882f-4cee-8045-d336f27e16c6", "name": "Calculate technical indicators", "type": "n8n-nodes-base.code", "position": [ -416, 352 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Calculate technical indicators for trading signals\nconst data = $input.item.json;\n\n// Mock historical price data (in real scenario, fetch from database)\nconst historicalPrices = {\n 'bitcoin': [42000, 42500, 41800, 43200, 43500, 42900, 43100, 43400],\n 'ethereum': [2200, 2250, 2180, 2300, 2350, 2280, 2320, 2380],\n 'AAPL': [150, 151, 149, 152, 153, 151, 152, 154],\n 'GOOGL': [100, 101, 99, 102, 103, 101, 102, 104]\n};\n\nconst currentPrice = data.price || 0;\nconst symbol = data.symbol || 'UNKNOWN';\nconst priceHistory = historicalPrices[symbol.toLowerCase()] || [currentPrice];\n\n// Calculate Simple Moving Average (SMA)\nconst calculateSMA = (prices, period) => {\n if (prices.length < period) return null;\n const sum = prices.slice(-period).reduce((a, b) => a + b, 0);\n return sum / period;\n};\n\n// Calculate Exponential Moving Average (EMA)\nconst calculateEMA = (prices, period) => {\n if (prices.length < period) return null;\n const k = 2 / (period + 1);\n let ema = prices.slice(0, period).reduce((a, b) => a + b, 0) / period;\n for (let i = period; i < prices.length; i++) {\n ema = prices[i] * k + ema * (1 - k);\n }\n return ema;\n};\n\n// Calculate RSI (Relative Strength Index)\nconst calculateRSI = (prices, period = 14) => {\n if (prices.length < period + 1) return null;\n const deltas = [];\n for (let i = 1; i < prices.length; i++) {\n deltas.push(prices[i] - prices[i - 1]);\n }\n \n let gains = 0, losses = 0;\n for (let i = 0; i < period; i++) {\n if (deltas[i] > 0) gains += deltas[i];\n else losses -= deltas[i];\n }\n \n let avgGain = gains / period;\n let avgLoss = losses / period;\n \n for (let i = period; i < deltas.length; i++) {\n if (deltas[i] > 0) gains = deltas[i];\n else gains = 0;\n if (deltas[i] < 0) losses = -deltas[i];\n else losses = 0;\n avgGain = (avgGain * (period - 1) + gains) / period;\n avgLoss = (avgLoss * (period - 1) + losses) / period;\n }\n \n const rs = avgGain / (avgLoss || 1);\n return 100 - (100 / (1 + rs));\n};\n\n// Calculate MACD (Moving Average Convergence Divergence)\nconst calculateMACD = (prices) => {\n const ema12 = calculateEMA(prices, 12);\n const ema26 = calculateEMA(prices, 26);\n if (!ema12 || !ema26) return null;\n return { macd: ema12 - ema26, signal: (ema12 - ema26) * 0.7 };\n};\n\n// Calculate Bollinger Bands\nconst calculateBollingerBands = (prices, period = 20, stdDev = 2) => {\n if (prices.length < period) return null;\n const sma = calculateSMA(prices, period);\n const slice = prices.slice(-period);\n const variance = slice.reduce((sum, p) => sum + Math.pow(p - sma, 2), 0) / period;\n const stdev = Math.sqrt(variance);\n return {\n upper: sma + (stdev * stdDev),\n middle: sma,\n lower: sma - (stdev * stdDev)\n };\n};\n\nconst sma50 = calculateSMA(priceHistory, 50) || calculateSMA(priceHistory, Math.min(priceHistory.length - 1, 50));\nconst sma200 = calculateSMA(priceHistory, 200) || calculateSMA(priceHistory, Math.min(priceHistory.length - 1, 200));\nconst ema12 = calculateEMA(priceHistory, 12) || calculateEMA(priceHistory, Math.min(priceHistory.length - 1, 12));\nconst rsi = calculateRSI(priceHistory) || 50;\nconst macd = calculateMACD(priceHistory) || { macd: 0, signal: 0 };\nconst bollingerBands = calculateBollingerBands(priceHistory) || { upper: currentPrice * 1.05, middle: currentPrice, lower: currentPrice * 0.95 };\n\nconst priceChange24h = data.change_24h || 0;\nconst volume24h = data.volume_24h || 0;\nconst marketCap = data.market_cap || 0;\n\nreturn {\n json: {\n symbol: symbol,\n currentPrice: currentPrice,\n priceChange24h: priceChange24h,\n volume24h: volume24h,\n marketCap: marketCap,\n \n // Technical Indicators\n technicalIndicators: {\n sma50: sma50 ? parseFloat(sma50.toFixed(2)) : null,\n sma200: sma200 ? parseFloat(sma200.toFixed(2)) : null,\n ema12: ema12 ? parseFloat(ema12.toFixed(2)) : null,\n rsi: parseFloat(rsi.toFixed(2)),\n macd: parseFloat(macd.macd.toFixed(2)),\n macdSignal: parseFloat(macd.signal.toFixed(2)),\n bollingerUpper: parseFloat(bollingerBands.upper.toFixed(2)),\n bollingerMiddle: parseFloat(bollingerBands.middle.toFixed(2)),\n bollingerLower: parseFloat(bollingerBands.lower.toFixed(2))\n },\n \n // Trend Analysis\n trend: {\n shortTerm: currentPrice > sma50 ? 'BULLISH' : 'BEARISH',\n longTerm: sma50 > sma200 ? 'BULLISH' : 'BEARISH',\n rsiStatus: rsi > 70 ? 'OVERBOUGHT' : rsi < 30 ? 'OVERSOLD' : 'NEUTRAL',\n macdTrend: macd.macd > macd.signal ? 'BULLISH' : 'BEARISH'\n },\n \n // Timestamp\n timestamp: new Date().toISOString(),\n analysisDate: new Date().toLocaleDateString('en-US', { year: 'numeric', month: 'long', day: 'numeric' })\n }\n};" }, "typeVersion": 2 }, { "id": "3fac4998-d581-4eb8-915d-cef725e0ab8b", "name": "Call AI model for signal prediction", "type": "n8n-nodes-base.httpRequest", "position": [ -192, 352 ], "parameters": { "url": "https://api.example.com/ai/predict-signal", "method": "POST", "options": {}, "sendBody": true, "sendHeaders": true, "bodyParameters": { "parameters": [ { "name": "symbol", "value": "={{ $json.symbol }}" }, { "name": "currentPrice", "value": "={{ $json.currentPrice }}" }, { "name": "technicalIndicators", "value": "={{ $json.technicalIndicators }}" }, { "name": "trend", "value": "={{ $json.trend }}" }, { "name": "volume24h", "value": "={{ $json.volume24h }}" } ] }, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] } }, "typeVersion": 4.2 }, { "id": "57960c95-154b-461f-b4c1-b4a470ded867", "name": "Analyze AI signals and confidence", "type": "n8n-nodes-base.code", "position": [ 32, 352 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Analyze AI signals and calculate confidence scores\nconst aiResponse = $input.item.json;\nconst signal = aiResponse.signal || 'HOLD';\nconst confidence = aiResponse.confidence || 0.5;\nconst reasoning = aiResponse.reasoning || 'Insufficient data';\n\n// Thresholds\nconst buyThreshold = 0.65;\nconst sellThreshold = 0.65;\nconst holdConfidence = 0.5;\n\n// Determine action based on confidence\nlet action = 'HOLD';\nlet actionConfidence = 0;\nlet riskLevel = 'MEDIUM';\n\nif (signal === 'BUY' && confidence >= buyThreshold) {\n action = 'BUY';\n actionConfidence = confidence;\n riskLevel = confidence > 0.85 ? 'LOW' : 'MEDIUM';\n} else if (signal === 'SELL' && confidence >= sellThreshold) {\n action = 'SELL';\n actionConfidence = confidence;\n riskLevel = confidence > 0.85 ? 'LOW' : 'MEDIUM';\n} else {\n action = 'HOLD';\n actionConfidence = confidence;\n riskLevel = 'LOW';\n}\n\n// Recommended position size based on confidence\nconst positionSize = action === 'HOLD' ? 0 : Math.round(actionConfidence * 100);\n\n// Alert level\nlet alertLevel = 'INFO';\nif (action !== 'HOLD' && actionConfidence > 0.80) {\n alertLevel = 'CRITICAL';\n} else if (action !== 'HOLD' && actionConfidence > 0.70) {\n alertLevel = 'HIGH';\n} else if (action !== 'HOLD') {\n alertLevel = 'MEDIUM';\n}\n\nconst timestamp = new Date().toISOString();\nconst signalId = `SIG-${new Date().getTime()}-${Math.random().toString(36).substr(2, 9)}`;\n\nreturn {\n json: {\n signalId: signalId,\n symbol: aiResponse.symbol,\n currentPrice: aiResponse.currentPrice,\n action: action,\n confidence: parseFloat(actionConfidence.toFixed(4)),\n riskLevel: riskLevel,\n positionSize: positionSize,\n alertLevel: alertLevel,\n aiReasoning: reasoning,\n \n // Recommendation details\n recommendation: {\n action: action,\n entryPrice: aiResponse.currentPrice,\n targetPrice: action === 'BUY' ? aiResponse.currentPrice * 1.05 : action === 'SELL' ? aiResponse.currentPrice * 0.95 : aiResponse.currentPrice,\n stopLoss: action === 'BUY' ? aiResponse.currentPrice * 0.98 : action === 'SELL' ? aiResponse.currentPrice * 1.02 : aiResponse.currentPrice,\n profitTarget: action === 'BUY' ? aiResponse.currentPrice * 1.10 : action === 'SELL' ? aiResponse.currentPrice * 0.90 : aiResponse.currentPrice,\n timeframe: '15m-1h'\n },\n \n // Validation flags\n isValidSignal: action !== 'HOLD',\n shouldAlert: action !== 'HOLD' && actionConfidence >= holdConfidence,\n shouldExecute: action !== 'HOLD' && actionConfidence >= 0.75,\n \n timestamp: timestamp,\n originalAIResponse: aiResponse\n }\n};" }, "typeVersion": 2 }, { "id": "617614c7-0653-4794-b391-ff61f23daf70", "name": "Validate signal strength and filter", "type": "n8n-nodes-base.filter", "position": [ 256, 352 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": false, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "signal-validation", "operator": { "type": "boolean", "operation": "true" }, "leftValue": "={{ $json.shouldAlert }}" } ] } }, "typeVersion": 2 }, { "id": "6e7fe960-95fd-42de-89a6-481b0f626327", "name": "Store trade signal in PostgreSQL", "type": "n8n-nodes-base.postgres", "position": [ 480, 352 ], "parameters": { "table": "trading_signals", "schema": { "__rl": true, "mode": "list", "value": "public" }, "columns": { "value": {}, "schema": [], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.5 }, { "id": "ccb1db3e-3a2e-47f2-aa8c-3e625ab4dba5", "name": "Route by signal action", "type": "n8n-nodes-base.switch", "position": [ 704, 352 ], "parameters": { "rules": { "values": [ { "outputKey": "BUY Signal", "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.action }}", "rightValue": "BUY" } ] }, "renameOutput": true }, { "outputKey": "SELL Signal", "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.action }}", "rightValue": "SELL" } ] }, "renameOutput": true } ] }, "options": {} }, "typeVersion": 3 }, { "id": "80d775b9-32e2-4524-a10b-32c5a33ad281", "name": "Generate trading alert message", "type": "n8n-nodes-base.code", "position": [ 928, 352 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Generate formatted trading alert message\nconst signal = $input.item.json;\nconst action = signal.action;\nconst emoji = action === 'BUY' ? '\ud83d\udcc8' : action === 'SELL' ? '\ud83d\udcc9' : '\u23f8\ufe0f';\n\nconst slackMessage = `${emoji} *TRADING ALERT \u2014 ${action}*\\n\\n` +\n `*Symbol:* ${signal.symbol}\\n` +\n `*Action:* ${action}\\n` +\n `*Confidence:* ${(signal.confidence * 100).toFixed(1)}%\\n` +\n `*Current Price:* \\$${signal.currentPrice.toFixed(2)}\\n\\n` +\n `*Recommendations:*\\n` +\n `Entry: \\$${signal.recommendation.entryPrice.toFixed(2)}\\n` +\n `Target: \\$${signal.recommendation.targetPrice.toFixed(2)}\\n` +\n `Stop Loss: \\$${signal.recommendation.stopLoss.toFixed(2)}\\n` +\n `Take Profit: \\$${signal.recommendation.profitTarget.toFixed(2)}\\n\\n` +\n `*Position Size:* ${signal.positionSize}%\\n` +\n `*Risk Level:* ${signal.riskLevel}\\n` +\n `*Signal ID:* ${signal.signalId}\\n` +\n `*AI Reasoning:* ${signal.aiReasoning}\\n\\n` +\n `*Timeframe:* ${signal.recommendation.timeframe}`;\n\nconst emailSubject = `\ud83d\ude80 ${emoji} Trading Alert: ${action} ${signal.symbol} @ ${signal.currentPrice} - ${(signal.confidence * 100).toFixed(1)}% Confidence`;\n\nconst emailBody = `\n

${emoji} Trading Alert - ${action} Signal

\n

Symbol: ${signal.symbol}

\n

Action: ${action}

\n

Confidence: ${(signal.confidence * 100).toFixed(1)}%

\n

Current Price: $${signal.currentPrice.toFixed(2)}

\n\n

\ud83d\udcca Recommendations

\n\n\n

\ud83e\udd16 AI Analysis

\n

${signal.aiReasoning}

\n\n

Signal ID: ${signal.signalId}

\n

Generated: ${signal.timestamp}

\n`;\n\nconst smsMessage = `${emoji} ${action} ${signal.symbol} @ $${signal.currentPrice.toFixed(2)} - Confidence: ${(signal.confidence * 100).toFixed(1)}% - ID: ${signal.signalId}`;\n\nreturn {\n json: {\n ...signal,\n alertMessages: {\n slack: slackMessage,\n email: {\n subject: emailSubject,\n body: emailBody\n },\n sms: smsMessage\n }\n }\n};" }, "typeVersion": 2 }, { "id": "4df28f21-bcf8-4a76-bfc1-ef2ba9175c7b", "name": "Send Slack notification", "type": "n8n-nodes-base.httpRequest", "position": [ 1152, 160 ], "parameters": { "url": "YOUR_SLACK_WEBHOOK_URL", "method": "POST", "options": {}, "jsonBody": "={\n \"text\": \"{{ $json.action }} Signal Alert\",\n \"blocks\": [\n {\n \"type\": \"section\",\n \"text\": {\n \"type\": \"mrkdwn\",\n \"text\": \"{{ $json.alertMessages.slack }}\"\n }\n }\n ]\n}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.2 }, { "id": "007071f0-fc96-4b3e-9f91-1a5724f162fa", "name": "Send Email alert", "type": "n8n-nodes-base.emailSend", "position": [ 1152, 352 ], "parameters": { "html": "={{ $json.alertMessages.email.body }}", "options": {}, "subject": "={{ $json.alertMessages.email.subject }}", "toEmail": "user@example.com", "fromEmail": "user@example.com" }, "credentials": { "smtp": { "name": "" } }, "typeVersion": 2.1 }, { "id": "794e696c-8471-4c44-b5cd-af540408ed39", "name": "Send SMS alert (Twilio)", "type": "n8n-nodes-base.httpRequest", "position": [ 1152, 544 ], "parameters": { "url": "https://api.twilio.com/2010-04-01/Accounts/YOUR_ACCOUNT_SID/Messages.json", "method": "POST", "options": {}, "sendBody": true, "bodyParameters": { "parameters": [ { "name": "From", "value": "+1234567890" }, { "name": "To", "value": "+1234567890" }, { "name": "Body", "value": "={{ $json.alertMessages.sms }}" } ] } }, "typeVersion": 4.2 }, { "id": "79e9381e-dbe8-4e3c-8114-29e9bd56c1a7", "name": "Log trade execution and success", "type": "n8n-nodes-base.code", "position": [ 1376, 352 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Log successful trade signal execution\nconst timestamp = new Date().toISOString();\nconst signal = $input.item.json;\n\nconsole.log(`\u2705 TRADE SIGNAL EXECUTED: ${signal.signalId} | ${signal.action} ${signal.symbol} @ $${signal.currentPrice} | Confidence: ${(signal.confidence * 100).toFixed(1)}% | Risk: ${signal.riskLevel} | Time: ${timestamp}`);\n\n// Cumulative statistics\nconst stats = $getWorkflowStaticData('global').stats || {\n totalSignals: 0,\n buySignals: 0,\n sellSignals: 0,\n totalAlerts: 0,\n lastSignal: null,\n averageConfidence: 0\n};\n\nif (signal.action === 'BUY') stats.buySignals++;\nelse if (signal.action === 'SELL') stats.sellSignals++;\nstats.totalSignals++;\nstats.totalAlerts++;\nstats.lastSignal = timestamp;\nstats.averageConfidence = (stats.averageConfidence + signal.confidence) / 2;\n\n$getWorkflowStaticData('global').stats = stats;\n\nreturn {\n json: {\n success: true,\n signalId: signal.signalId,\n action: signal.action,\n symbol: signal.symbol,\n currentPrice: signal.currentPrice,\n confidence: signal.confidence,\n timestamp: timestamp,\n cumulativeStats: stats,\n alertsSent: {\n slack: true,\n email: true,\n sms: true\n }\n }\n};" }, "typeVersion": 2 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "77ade8bc-49da-4a50-91ad-650b7eb95cef", "connections": { "Send Email alert": { "main": [ [ { "node": "Log trade execution and success", "type": "main", "index": 0 } ] ] }, "Route by signal action": { "main": [ [ { "node": "Generate trading alert message", "type": "main", "index": 0 } ], [ { "node": "Generate trading alert message", "type": "main", "index": 0 } ] ] }, "Send SMS alert (Twilio)": { "main": [ [ { "node": "Log trade execution and success", "type": "main", "index": 0 } ] ] }, "Send Slack notification": { "main": [ [ { "node": "Log trade execution and success", "type": "main", "index": 0 } ] ] }, "Calculate technical indicators": { "main": [ [ { "node": "Call AI model for signal prediction", "type": "main", "index": 0 } ] ] }, "Generate trading alert message": { "main": [ [ { "node": "Send Slack notification", "type": "main", "index": 0 }, { "node": "Send Email alert", "type": "main", "index": 0 }, { "node": "Send SMS alert (Twilio)", "type": "main", "index": 0 } ] ] }, "Store trade signal in PostgreSQL": { "main": [ [ { "node": "Route by signal action", "type": "main", "index": 0 } ] ] }, "Analyze AI signals and confidence": { "main": [ [ { "node": "Validate signal strength and filter", "type": "main", "index": 0 } ] ] }, "Call AI model for signal prediction": { "main": [ [ { "node": "Analyze AI signals and confidence", "type": "main", "index": 0 } ] ] }, "Validate signal strength and filter": { "main": [ [ { "node": "Store trade signal in PostgreSQL", "type": "main", "index": 0 } ] ] }, "Combine crypto and stock market data": { "main": [ [ { "node": "Calculate technical indicators", "type": "main", "index": 0 } ] ] }, "Fetch stock prices from Alpha Vantage": { "main": [ [ { "node": "Combine crypto and stock market data", "type": "main", "index": 1 } ] ] }, "Market Data Trigger - Every 15 minutes": { "main": [ [ { "node": "Fetch cryptocurrency prices from CoinGecko", "type": "main", "index": 0 }, { "node": "Fetch stock prices from Alpha Vantage", "type": "main", "index": 0 } ] ] }, "Fetch cryptocurrency prices from CoinGecko": { "main": [ [ { "node": "Combine crypto and stock market data", "type": "main", "index": 0 } ] ] } } }