trading_bot_v4/workflows/analytics/n8n-database-analytics.json

{
  "name": "Trading Database Analytics",
  "nodes": [
    {
      "parameters": {},
      "id": "7c2dbef4-8f5f-4c0e-9f3c-4e5c5d8f2a1b",
      "name": "When clicking 'Test workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [240, 300]
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "-- Get all closed trades with performance metrics\nSELECT \n    id,\n    symbol,\n    direction,\n    \"entryPrice\",\n    \"exitPrice\",\n    \"positionSizeUSD\",\n    leverage,\n    \"realizedPnL\",\n    \"realizedPnLPercent\",\n    \"holdTimeSeconds\",\n    \"exitReason\",\n    \"entryTime\",\n    \"exitTime\",\n    \"isTestTrade\",\n    CASE \n        WHEN \"realizedPnL\" > 0 THEN 'WIN'\n        WHEN \"realizedPnL\" < 0 THEN 'LOSS'\n        ELSE 'BREAKEVEN'\n    END as trade_result\nFROM \"Trade\"\nWHERE status = 'closed'\n    AND \"isTestTrade\" = false\nORDER BY \"exitTime\" DESC\nLIMIT 100;"
      },
      "id": "3f9c1d7b-2e4a-4c8f-9b1e-6d8e5c3f2a4b",
      "name": "Query Closed Trades",
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.4,
      "position": [460, 300],
      "credentials": {
        "postgres": {
          "id": "1",
          "name": "Trading Bot Database"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "// Calculate trading statistics from closed trades\nconst trades = $input.all();\n\nif (trades.length === 0) {\n  return [{\n    json: {\n      message: 'No closed trades found',\n      totalTrades: 0\n    }\n  }];\n}\n\nconst wins = trades.filter(t => t.json.trade_result === 'WIN');\nconst losses = trades.filter(t => t.json.trade_result === 'LOSS');\n\nconst totalPnL = trades.reduce((sum, t) => sum + parseFloat(t.json.realizedPnL || 0), 0);\nconst avgWin = wins.length > 0 ? wins.reduce((sum, t) => sum + parseFloat(t.json.realizedPnL), 0) / wins.length : 0;\nconst avgLoss = losses.length > 0 ? losses.reduce((sum, t) => sum + parseFloat(t.json.realizedPnL), 0) / losses.length : 0;\nconst winRate = (wins.length / trades.length) * 100;\nconst profitFactor = avgLoss !== 0 ? Math.abs(avgWin / avgLoss) : 0;\n\n// Calculate average hold time\nconst avgHoldTime = trades.reduce((sum, t) => sum + parseInt(t.json.holdTimeSeconds || 0), 0) / trades.length;\n\n// Group by symbol\nconst bySymbol = {};\ntrades.forEach(t => {\n  const symbol = t.json.symbol;\n  if (!bySymbol[symbol]) {\n    bySymbol[symbol] = { trades: 0, wins: 0, pnl: 0 };\n  }\n  bySymbol[symbol].trades++;\n  if (t.json.trade_result === 'WIN') bySymbol[symbol].wins++;\n  bySymbol[symbol].pnl += parseFloat(t.json.realizedPnL || 0);\n});\n\n// Group by direction\nconst longs = trades.filter(t => t.json.direction === 'long');\nconst shorts = trades.filter(t => t.json.direction === 'short');\n\nconst longWins = longs.filter(t => t.json.trade_result === 'WIN').length;\nconst shortWins = shorts.filter(t => t.json.trade_result === 'WIN').length;\n\n// Group by exit reason\nconst exitReasons = {};\ntrades.forEach(t => {\n  const reason = t.json.exitReason || 'unknown';\n  if (!exitReasons[reason]) {\n    exitReasons[reason] = { count: 0, pnl: 0 };\n  }\n  exitReasons[reason].count++;\n  exitReasons[reason].pnl += parseFloat(t.json.realizedPnL || 0);\n});\n\nreturn [{\n  json: {\n    summary: {\n      totalTrades: trades.length,\n      winningTrades: wins.length,\n      losingTrades: losses.length,\n      winRate: winRate.toFixed(2) + '%',\n      totalPnL: '$' + totalPnL.toFixed(2),\n      avgWin: '$' + avgWin.toFixed(2),\n      avgLoss: '$' + avgLoss.toFixed(2),\n      profitFactor: profitFactor.toFixed(2),\n      avgHoldTimeMinutes: (avgHoldTime / 60).toFixed(1)\n    },\n    bySymbol,\n    byDirection: {\n      long: {\n        total: longs.length,\n        wins: longWins,\n        winRate: longs.length > 0 ? ((longWins / longs.length) * 100).toFixed(2) + '%' : '0%'\n      },\n      short: {\n        total: shorts.length,\n        wins: shortWins,\n        winRate: shorts.length > 0 ? ((shortWins / shorts.length) * 100).toFixed(2) + '%' : '0%'\n      }\n    },\n    exitReasons,\n    timestamp: new Date().toISOString()\n  }\n}];"
      },
      "id": "8a3b4c5d-6e7f-4a8b-9c0d-1e2f3a4b5c6d",
      "name": "Calculate Statistics",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [680, 300]
    }
  ],
  "connections": {
    "When clicking 'Test workflow'": {
      "main": [
        [
          {
            "node": "Query Closed Trades",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Query Closed Trades": {
      "main": [
        [
          {
            "node": "Calculate Statistics",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "staticData": null,
  "tags": [],
  "triggerCount": 0,
  "updatedAt": "2025-10-27T00:00:00.000Z",
  "versionId": "1"
}