Send Daily Crypto Market Insights with Google Gemini to Telegram

The workflow JSON

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{
  "id": "zgYQTjMDJyj6gOTV",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "Daily Crypto AI Market Insight to Telegram",
  "tags": [],
  "nodes": [
    {
      "id": "231a550f-42af-412c-826a-1158d9a7e42e",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "notes": "Start the workflow manually or configure your own schedule. For a daily report, set this to run once per day.",
      "position": [
        1264,
        -112
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 12
            }
          ]
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "8f0383fb-0f7c-4383-aafc-1c357bdd1217",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        3504,
        112
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-3-flash-preview"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d07fbc23-f739-426e-9f76-16fe48dab37b",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        3696,
        112
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n        \"type\": \"object\",\n        \"properties\": {\n          \"buy_confidence\": {\n            \"type\": \"number\",\n            \"minimum\": 0,\n            \"maximum\": 1,\n            \"description\": \"Probability score favoring a buy decision.\"\n          },\n          \"hold_confidence\": {\n            \"type\": \"number\",\n            \"minimum\": 0,\n            \"maximum\": 1,\n            \"description\": \"Probability score favoring a hold decision.\"\n          },\n          \"sell_confidence\": {\n            \"type\": \"number\",\n            \"minimum\": 0,\n            \"maximum\": 1,\n            \"description\": \"Probability score favoring a sell decision.\"\n          },\n          \"reasoning\": {\n            \"type\": \"string\",\n            \"description\": \"Brief technical explanation supporting the dominant decision. Keep it concise and signal-focused.\"\n          }\n        },\n        \"required\": [\"buy_confidence\", \"hold_confidence\", \"sell_confidence\", \"reasoning\"]\n      }"
      },
      "typeVersion": 1.3
    },
    {
      "id": "23d9e204-bfa2-4a8e-9952-366d5104376f",
      "name": "Send a text message",
      "type": "n8n-nodes-base.telegram",
      "position": [
        4080,
        -112
      ],
      "parameters": {
        "text": "={{ $json.telegramMessage }}",
        "additionalFields": {
          "parse_mode": "Markdown",
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "ec1969c0-229c-40db-866b-92480f4d0f8f",
      "name": "Format Telegram Message",
      "type": "n8n-nodes-base.code",
      "position": [
        3856,
        -112
      ],
      "parameters": {
        "jsCode": "const payload = $('Calculate Indicators & Build AI Payload').first().json.payload;\n\n// n8n structured parser usually returns parsed result in $json.output\nconst aiResult = $json.output ?? $json;\n\nconst timestamp = new Date().toISOString().replace('T', ' ').replace(/\\.\\d{3}Z$/, ' UTC');\n\nfunction getFngEmoji(fngClass) {\n  if (fngClass === \"Extreme Fear\") return \"\ud83d\ude31\";\n  if (fngClass === \"Fear\") return \"\ud83d\ude1f\";\n  if (fngClass === \"Neutral\") return \"\ud83d\ude10\";\n  if (fngClass === \"Greed\") return \"\ud83d\ude42\";\n  return \"\ud83d\ude04\";\n}\n\nconst buy = (aiResult.buy_confidence * 100).toFixed(1);\nconst hold = (aiResult.hold_confidence * 100).toFixed(1);\nconst sell = (aiResult.sell_confidence * 100).toFixed(1);\n\nconst maxConf = Math.max(\n  aiResult.buy_confidence,\n  aiResult.hold_confidence,\n  aiResult.sell_confidence\n);\n\nlet signal = \"HOLD\";\nlet signalEmoji = \"\ud83d\udfe1\";\n\nif (maxConf === aiResult.buy_confidence) {\n  signal = \"BUY\";\n  signalEmoji = \"\ud83d\udfe2\";\n}\n\nif (maxConf === aiResult.sell_confidence) {\n  signal = \"SELL\";\n  signalEmoji = \"\ud83d\udd34\";\n}\n\nconst fngEmoji = getFngEmoji(payload.crypto_fng_class);\n\nconst resultJson = JSON.stringify({\n  timestamp,\n  source: \"binance\",\n  instrument: payload.instrument,\n  price_last_14: payload.price_last_14,\n  fear_and_greed: payload.crypto_fng_value + \" (\" + payload.crypto_fng_class + \")\",\n  ema_20: payload.ema_20,\n  ema_50: payload.ema_50,\n  ema_100: payload.ema_100,\n  price_vs_ema20_percent: payload.price_vs_ema20_percent,\n  price_vs_ema50_percent: payload.price_vs_ema50_percent,\n  price_vs_ema100_percent: payload.price_vs_ema100_percent,\n  rsi_14_last_7: payload.rsi_14_last_7,\n  macd_histogram_12_26_9_last_7: payload.macd_histogram_12_26_9_last_7,\n  adx_14: payload.adx_14,\n  plus_di_14: payload.positive_di_14,\n  minus_di_14: payload.negative_di_14,\n  di_delta: payload.di_delta_14,\n  signal,\n  buy_confidence: aiResult.buy_confidence,\n  hold_confidence: aiResult.hold_confidence,\n  sell_confidence: aiResult.sell_confidence,\n  reasoning: aiResult.reasoning\n}, null, 2);\n\nconst telegramMessage =\n  \"\ud83d\udcca AI BTC Daily Insight \u2014 \" + signalEmoji + \" \" + signal + \"\\n\" +\n  fngEmoji + \" Fear & Greed: \" + payload.crypto_fng_value + \" (\" + payload.crypto_fng_class + \")\\n\" +\n  \"\ud83d\udfe2 Buy: \" + buy + \"% \ud83d\udfe1 Hold: \" + hold + \"% \ud83d\udd34 Sell: \" + sell + \"%\\n\\n\" +\n  \"```json\\n\" +\n  resultJson +\n  \"\\n```\\n\" +\n  \"\u26a0\ufe0f AI-generated technical analysis. Not financial advice.\";\n\nreturn [\n  {\n    json: {\n      payload,\n      aiResult,\n      signal,\n      telegramMessage\n    }\n  }\n];"
      },
      "typeVersion": 2
    },
    {
      "id": "a9f05c55-1181-4fd0-855c-ca8f779b61bb",
      "name": "Fetch 300 Daily OHLCV Candles",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Fetches 300 daily candles from Binance public API. These candles are used to calculate EMA, RSI, MACD, ADX, and DI indicators.",
      "position": [
        1856,
        -112
      ],
      "parameters": {
        "url": "=https://data-api.binance.vision/api/v3/klines?symbol={{ $json.config.symbol }}&interval=1d&limit=300",
        "options": {}
      },
      "typeVersion": 4.4
    },
    {
      "id": "4f9c95ef-7be2-4d42-b0f2-2abe87e287c7",
      "name": "Normalize OHLCV Candle Fields",
      "type": "n8n-nodes-base.set",
      "notes": "Converts Binance array format into readable candle fields: time, open, high, low, close, and volume.\n",
      "position": [
        2080,
        -112
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "83746df8-611a-4c26-acfa-4914f0d042ed",
              "name": "time",
              "type": "number",
              "value": "={{ $json['0']/1000 }}"
            },
            {
              "id": "05893af6-25be-49c1-897f-7d7e8a9b139e",
              "name": "open",
              "type": "number",
              "value": "={{ $json['1'] }}"
            },
            {
              "id": "54bc5a58-ce58-4608-8b1e-f735b7ab8e8c",
              "name": "high",
              "type": "number",
              "value": "={{ $json['2'] }}"
            },
            {
              "id": "77b0c0ab-080b-4e17-bede-4417e7a344ed",
              "name": "low",
              "type": "number",
              "value": "={{ $json['3'] }}"
            },
            {
              "id": "ccf6b03a-3126-43b3-a411-facd080dccaa",
              "name": "close",
              "type": "number",
              "value": "={{ $json['4'] }}"
            },
            {
              "id": "15d66a67-896d-48c5-a5ab-9d0cb8b194de",
              "name": "volume",
              "type": "number",
              "value": "={{ $json['5'] }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "55cbe590-7589-4453-8210-031734708139",
      "name": "Aggregate Candles Into Array",
      "type": "n8n-nodes-base.aggregate",
      "notes": "Combines all candle items into one array so the technical indicator Code node can process the full price history.\n",
      "position": [
        2304,
        -112
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "candles"
      },
      "typeVersion": 1
    },
    {
      "id": "91cc9f08-ace0-4071-9c20-dfcb966d8839",
      "name": "Fetch Latest Market Price",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Fetches the latest Binance ticker price and merges it into the latest daily candle for fresher analysis.\n",
      "position": [
        2528,
        -112
      ],
      "parameters": {
        "url": "=https://data-api.binance.vision/api/v3/ticker/price?symbol={{ $('Set Trading Pair').item.json.config.symbol }}",
        "options": {}
      },
      "executeOnce": false,
      "typeVersion": 4.4
    },
    {
      "id": "58070ceb-bd13-40c2-acca-888a99370a48",
      "name": "Fetch Crypto Fear & Greed Index",
      "type": "n8n-nodes-base.httpRequest",
      "notes": "Fetches recent Crypto Fear & Greed Index values from Alternative.me. The latest value is included in the AI analysis payload.\n",
      "position": [
        2752,
        -112
      ],
      "parameters": {
        "url": "=https://api.alternative.me/fng/?limit=30&format=json",
        "options": {}
      },
      "executeOnce": false,
      "typeVersion": 4.4
    },
    {
      "id": "a063b0ef-210b-4f57-9b89-7950dbc2cfb3",
      "name": "Calculate Indicators & Build AI Payload",
      "type": "n8n-nodes-base.code",
      "notes": "Calculates EMA(20/50/100), RSI(14), MACD histogram, ADX(14), +DI, -DI, and builds the exact technical payload sent to Gemini.\n",
      "position": [
        3120,
        -112
      ],
      "parameters": {
        "jsCode": "const config = $('Set Trading Pair').first().json.config;\nconst candlesRaw = $('Aggregate Candles Into Array').first().json.candles;\nconst tickRaw = $('Fetch Latest Market Price').first().json;\nconst fngRaw = $input.first().json;\n\n// Sort candles oldest -> newest, just to be safe\nconst df = candlesRaw\n  .map(d => ({\n    TIMESTAMP: d.time * 1000,\n    OPEN: parseFloat(d.open),\n    HIGH: parseFloat(d.high),\n    LOW: parseFloat(d.low),\n    CLOSE: parseFloat(d.close),\n    VOLUME: parseFloat(d.volume),\n  }))\n  .sort((a, b) => a.TIMESTAMP - b.TIMESTAMP);\n\n// Sort Fear & Greed oldest -> newest\nconst fngDataSorted = fngRaw.data.sort(\n  (a, b) => parseInt(a.timestamp) - parseInt(b.timestamp)\n);\n\nconst latestFng = fngDataSorted[fngDataSorted.length - 1];\n\nconst fngData = {\n  fngValue: parseInt(latestFng.value),\n  fngClass: latestFng.value_classification,\n};\n\n// Merge latest tick into last candle\nconst tickValue = parseFloat(tickRaw.price);\nconst lastIdx = df.length - 1;\n\ndf[lastIdx].CLOSE = tickValue;\nif (df[lastIdx].HIGH < tickValue) df[lastIdx].HIGH = tickValue;\nif (df[lastIdx].LOW > tickValue) df[lastIdx].LOW = tickValue;\n\nfunction r4(x) {\n  return Math.round(parseFloat(x) * 10000) / 10000;\n}\n\nfunction calculateEMA(closes, span) {\n  const alpha = 2 / (span + 1);\n  const ema = [];\n\n  closes.forEach((price, i) => {\n    if (i === 0) {\n      ema.push(price);\n    } else {\n      ema.push(alpha * price + (1 - alpha) * ema[i - 1]);\n    }\n  });\n\n  return ema;\n}\n\nfunction calculateRSI(closes, period) {\n  const rsi = new Array(closes.length).fill(null);\n  let avgGain = 0;\n  let avgLoss = 0;\n  const alpha = 1 / period;\n\n  for (let i = 1; i < closes.length; i++) {\n    const delta = closes[i] - closes[i - 1];\n    const gain = delta > 0 ? delta : 0;\n    const loss = delta < 0 ? -delta : 0;\n\n    if (i === 1) {\n      avgGain = gain;\n      avgLoss = loss;\n    } else {\n      avgGain = alpha * gain + (1 - alpha) * avgGain;\n      avgLoss = alpha * loss + (1 - alpha) * avgLoss;\n    }\n\n    const rs = avgLoss === 0 ? Infinity : avgGain / avgLoss;\n    rsi[i] = 100 - (100 / (1 + rs));\n  }\n\n  return rsi;\n}\n\nfunction calculateEMAFromArray(arr, span) {\n  const alpha = 2 / (span + 1);\n  const ema = [];\n\n  arr.forEach((v, i) => {\n    if (i === 0) ema.push(v);\n    else ema.push(alpha * v + (1 - alpha) * ema[i - 1]);\n  });\n\n  return ema;\n}\n\nfunction calculateMACD(closes, fast, slow, signal) {\n  const emaFast = calculateEMA(closes, fast);\n  const emaSlow = calculateEMA(closes, slow);\n  const macdLine = emaFast.map((v, i) => v - emaSlow[i]);\n  const signalLine = calculateEMAFromArray(macdLine, signal);\n  const histogram = macdLine.map((v, i) => v - signalLine[i]);\n\n  return { macdLine, signalLine, histogram };\n}\n\nfunction calculateADX(highs, lows, closes, period) {\n  const n = closes.length;\n  const alpha = 1 / period;\n\n  const plusDM = new Array(n).fill(0);\n  const minusDM = new Array(n).fill(0);\n  const tr = new Array(n).fill(0);\n\n  for (let i = 1; i < n; i++) {\n    const upMove = highs[i] - highs[i - 1];\n    const downMove = lows[i - 1] - lows[i];\n\n    plusDM[i] = upMove > downMove && upMove > 0 ? upMove : 0;\n    minusDM[i] = downMove > upMove && downMove > 0 ? downMove : 0;\n\n    const tr1 = highs[i] - lows[i];\n    const tr2 = Math.abs(highs[i] - closes[i - 1]);\n    const tr3 = Math.abs(lows[i] - closes[i - 1]);\n\n    tr[i] = Math.max(tr1, tr2, tr3);\n  }\n\n  let atr = tr[1];\n  let sPlusDM = plusDM[1];\n  let sMinusDM = minusDM[1];\n\n  const atrArr = new Array(n).fill(0);\n  const sPlusArr = new Array(n).fill(0);\n  const sMinusArr = new Array(n).fill(0);\n\n  atrArr[1] = atr;\n  sPlusArr[1] = sPlusDM;\n  sMinusArr[1] = sMinusDM;\n\n  for (let i = 2; i < n; i++) {\n    atr = alpha * tr[i] + (1 - alpha) * atr;\n    sPlusDM = alpha * plusDM[i] + (1 - alpha) * sPlusDM;\n    sMinusDM = alpha * minusDM[i] + (1 - alpha) * sMinusDM;\n\n    atrArr[i] = atr;\n    sPlusArr[i] = sPlusDM;\n    sMinusArr[i] = sMinusDM;\n  }\n\n  const plusDI = sPlusArr.map((v, i) =>\n    atrArr[i] ? 100 * v / atrArr[i] : 0\n  );\n\n  const minusDI = sMinusArr.map((v, i) =>\n    atrArr[i] ? 100 * v / atrArr[i] : 0\n  );\n\n  let adxVal = 0;\n  const adxArr = new Array(n).fill(0);\n\n  for (let i = 1; i < n; i++) {\n    const sum = plusDI[i] + minusDI[i];\n    const dx = sum\n      ? Math.abs(plusDI[i] - minusDI[i]) / sum * 100\n      : 0;\n\n    adxVal = alpha * dx + (1 - alpha) * adxVal;\n    adxArr[i] = adxVal;\n  }\n\n  return { adx: adxArr, plusDI, minusDI };\n}\n\nconst closes = df.map(d => parseFloat(d.CLOSE));\nconst highs = df.map(d => parseFloat(d.HIGH));\nconst lows = df.map(d => parseFloat(d.LOW));\n\nconst ema20Arr = calculateEMA(closes, 20);\nconst ema50Arr = calculateEMA(closes, 50);\nconst ema100Arr = calculateEMA(closes, 100);\nconst rsi14Arr = calculateRSI(closes, 14);\nconst { histogram } = calculateMACD(closes, 12, 26, 9);\nconst { adx, plusDI, minusDI } = calculateADX(highs, lows, closes, 14);\n\nconst last = closes.length - 1;\nconst lastClose = closes[last];\n\nconst ema20Last = ema20Arr[last];\nconst ema50Last = ema50Arr[last];\nconst ema100Last = ema100Arr[last];\n\nconst payload = {\n  source: \"binance\",\n  instrument: config.symbol,\n  price_last_14: closes.slice(-14).map(r4),\n  ema_20: r4(ema20Last),\n  ema_50: r4(ema50Last),\n  ema_100: r4(ema100Last),\n  price_vs_ema20_percent: r4(((lastClose - ema20Last) / ema20Last) * 100),\n  price_vs_ema50_percent: r4(((lastClose - ema50Last) / ema50Last) * 100),\n  price_vs_ema100_percent: r4(((lastClose - ema100Last) / ema100Last) * 100),\n  rsi_14_last_7: rsi14Arr.slice(-7).map(r4),\n  macd_histogram_12_26_9_last_7: histogram.slice(-7).map(r4),\n  adx_14: r4(adx[last]),\n  positive_di_14: r4(plusDI[last]),\n  negative_di_14: r4(minusDI[last]),\n  di_delta_14: r4(plusDI[last] - minusDI[last]),\n  crypto_fng_value: fngData.fngValue,\n  crypto_fng_class: fngData.fngClass,\n};\n\nreturn [\n  {\n    json: {\n      payload,\n    },\n  },\n];"
      },
      "typeVersion": 2
    },
    {
      "id": "d8b66011-cc7f-4660-b170-a1ff068f614c",
      "name": "Generate AI Trading Insight",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "notes": "Sends the technical payload to Gemini and asks for a structured JSON insight with buy, hold, and sell confidence scores.\n",
      "position": [
        3504,
        -112
      ],
      "parameters": {
        "text": "=You are analyzing crypto technical indicators on the DAILY timeframe.\n\nOUTPUT RULES:\n- buy_confidence + hold_confidence + sell_confidence MUST sum to 1.0\n- Higher value = stronger directional bias.\n\nDATA STRUCTURE:\n- Any field ending with \\`_last_N\\` is a LIST ordered chronologically.\n- The FIRST element is the OLDEST value.\n- The LAST element is the MOST RECENT value.\n\nPAYLOAD FIELD DESCRIPTIONS:\n- price_last_14: Closing prices of the last 14 daily candles ordered chronologically.\n- ema_20: Latest EMA(20) value representing short-term trend baseline.\n- ema_50: Latest EMA(50) value representing mid-term trend baseline.\n- ema_100: Latest EMA(100) value representing long-term trend baseline.\n- price_vs_ema20_percent: Percentage distance between latest price and EMA(20); positive means price above trend.\n- price_vs_ema50_percent: Percentage distance between latest price and EMA(50); positive means price above trend.\n- price_vs_ema100_percent: Percentage distance between latest price and EMA(100); positive means price above trend.\n- rsi_14_last_7: RSI(14) values from the last 7 candles showing momentum progression.\n- macd_histogram_12_26_9_last_7: MACD histogram values showing recent momentum acceleration or deceleration.\n- adx_14: ADX(14) value indicating current trend strength regardless of direction.\n- positive_di_14: Positive directional index measuring bullish directional pressure.\n- negative_di_14: Negative directional index measuring bearish directional pressure.\n- di_delta_14: Difference between positive_di_14 and negative_di_14 indicating directional dominance.\n- crypto_fng_value: Current Fear & Greed Index numerical sentiment value.\n- crypto_fng_class: Text classification of Fear & Greed sentiment state.\n\nCONTEXT:\n- Indicators derived from daily candles.\n- Latest candle contains live market tick update.\n- Use ONLY provided values.\n\nRespond ONLY with a raw JSON object (no markdown, no backticks) with exactly these keys:\n{\n \"buy_confidence\": <number 0-1>,\n \"hold_confidence\": <number 0-1>,\n \"sell_confidence\": <number 0-1>,\n \"reasoning\": \"<string>\"\n}\n\nTECHNICAL PAYLOAD:\n{{ JSON.stringify($json.payload, null, 2) }}",
        "batching": {},
        "messages": {
          "messageValues": [
            {
              "message": "=You are a professional crypto technical analyst.\n\nSTRICT RULES:\n- Analyze ONLY provided data\n- Do NOT assume external market context\n- Be consistent and deterministic in reasoning."
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.9
    },
    {
      "id": "da5de86b-711e-4685-91bd-1da367f9b29c",
      "name": "Set Trading Pair",
      "type": "n8n-nodes-base.set",
      "notes": "Change the symbol here, e.g. BTCUSDT, ETHUSDT, SOLUSDT. The workflow uses Binance public market data.",
      "position": [
        1536,
        -112
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "{\n  \"config\": {\n    \"symbol\": \"BTCUSDT\"\n  }\n}\n\n"
      },
      "notesInFlow": true,
      "typeVersion": 3.4
    },
    {
      "id": "f7ceddad-0578-4719-a50a-e9566c03f9f2",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1264,
        -416
      ],
      "parameters": {
        "color": 5,
        "width": 512,
        "height": 192,
        "content": "## 1. Configure before running\n\n- Set your preferred schedule in the Schedule Trigger.\n- Change the trading pair in Set Trading Pair, e.g. BTCUSDT, ETHUSDT, SOLUSDT.\n- Connect your own Google Gemini credential.\n- Connect your own Telegram bot credential and set your chat ID.\n\nThis template uses public Binance + Alternative.me data."
      },
      "typeVersion": 1
    },
    {
      "id": "2fd8aad2-92a6-41af-9ae5-5fee57b93efd",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1792,
        -416
      ],
      "parameters": {
        "color": 5,
        "width": 1136,
        "height": 512,
        "content": "## 2. Fetch market + sentiment data\n\nThis section fetches:\n- 300 daily OHLCV candles from Binance\n- Latest ticker price from Binance\n- Crypto Fear & Greed Index from Alternative.me\n\nThe latest ticker price is later merged into the newest daily candle for fresher analysis."
      },
      "typeVersion": 1
    },
    {
      "id": "dab77a29-e1e5-4a90-892b-943d6b6dfe97",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2944,
        -416
      ],
      "parameters": {
        "color": 5,
        "width": 496,
        "height": 512,
        "content": "## 3. Calculate technical indicators\n\nThis Code node calculates:\n- EMA(20), EMA(50), EMA(100)\n- RSI(14)\n- MACD histogram 12/26/9\n- ADX(14), +DI, -DI\n- Fear & Greed sentiment\n\nIt then builds the structured payload sent to Gemini."
      },
      "typeVersion": 1
    },
    {
      "id": "88b20cbf-c8b9-4e01-ac41-ab45939176c9",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3456,
        -416
      ],
      "parameters": {
        "color": 5,
        "width": 832,
        "height": 688,
        "content": "## 4. Generate AI insight and send to Telegram\n\nGemini receives only the calculated technical payload and returns:\n- buy_confidence\n- hold_confidence\n- sell_confidence\n- reasoning\n\nThe final Code node formats the result into a Telegram message.\n\nNot financial advice."
      },
      "typeVersion": 1
    },
    {
      "id": "391f44de-6fd5-46e4-9843-6cccee51ada0",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        512,
        -704
      ],
      "parameters": {
        "width": 704,
        "height": 1040,
        "content": "## **Daily Crypto AI Market Insight to Telegram**\n\nThis workflow generates a daily AI-powered crypto market insight and sends it to Telegram using Binance public market data, the Crypto Fear & Greed Index, and Google Gemini.\n\nIt fetches BTC/USDT daily OHLCV data, calculates technical indicators, builds a structured analysis payload, asks Gemini for a buy/hold/sell confidence breakdown, and delivers the result as a clean Telegram report.\n\nIt is useful for traders, builders, and crypto enthusiasts who want an automated daily technical summary without manually checking charts.\n\n## **Common use cases:**\n\n- Send a daily BTC market insight to your Telegram\n- Monitor crypto technical indicators automatically\n- Build a personal AI crypto analyst bot\n- Create a lightweight daily trading signal workflow\n- Learn how to combine market data, technical indicators, LLMs, and Telegram in n8n\n\n## **How it works**\n\n- Starts from a Schedule Trigger, which you can customize\n- Sets the trading pair, for example `BTCUSDT`\n- Fetches 300 daily OHLCV candles from Binance public API\n- Normalizes Binance candle data into readable fields\n- Fetches the latest market price and merges it into the latest candle\n- Fetches the Crypto Fear & Greed Index from Alternative.me\n- Calculates EMA(20), EMA(50), EMA(100), RSI(14), MACD histogram, ADX(14), +DI, and -DI\n- Builds a structured technical payload\n- Sends the payload to Google Gemini\n- Parses Gemini\u2019s response into structured JSON\n- Formats the result into a Telegram message\n- Sends the AI-generated insight to Telegram\n\n## **Setup steps**\n\n- Choose your trading pair in the **Set Trading Pair** node\n- Connect your Google Gemini credentials\n- Connect your Telegram credentials\n- Set your Telegram chat ID in the Telegram node\n- Adjust the Schedule Trigger if you want a different run time\n- Test the workflow manually\n- Activate the workflow\n\n## **Notes**\n\nThis workflow uses Binance public API data and does not require a Binance API key.\nThe AI insight is generated only from the provided technical payload and should not be treated as financial advice.\n\n## **Need Help?**  \nHave questions or want to connect? Reach me on [LinkedIn](https://www.linkedin.com/in/athaahsan/)."
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "binaryMode": "separate",
    "executionOrder": "v1"
  },
  "versionId": "f02ae429-9a91-4f77-95e8-f8a76e6dbaa8",
  "connections": {
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Set Trading Pair",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Trading Pair": {
      "main": [
        [
          {
            "node": "Fetch 300 Daily OHLCV Candles",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send a text message": {
      "main": [
        []
      ]
    },
    "Format Telegram Message": {
      "main": [
        [
          {
            "node": "Send a text message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Generate AI Trading Insight",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Generate AI Trading Insight",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Latest Market Price": {
      "main": [
        [
          {
            "node": "Fetch Crypto Fear & Greed Index",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate AI Trading Insight": {
      "main": [
        [
          {
            "node": "Format Telegram Message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate Candles Into Array": {
      "main": [
        [
          {
            "node": "Fetch Latest Market Price",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch 300 Daily OHLCV Candles": {
      "main": [
        [
          {
            "node": "Normalize OHLCV Candle Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Normalize OHLCV Candle Fields": {
      "main": [
        [
          {
            "node": "Aggregate Candles Into Array",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Crypto Fear & Greed Index": {
      "main": [
        [
          {
            "node": "Calculate Indicators & Build AI Payload",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Calculate Indicators & Build AI Payload": {
      "main": [
        [
          {
            "node": "Generate AI Trading Insight",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googlePalmApi
• telegramApi

About this workflow

This workflow generates a daily AI-powered crypto market insight and sends it to Telegram using Binance public market data, the Crypto Fear & Greed Index, and Google Gemini.

Source: https://n8n.io/workflows/15461/ — original creator credit. Request a take-down →

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