{ "id": "qYCUH4cxGizp7l1b", "meta": { "templateCredsSetupCompleted": true }, "name": "Stock Analytic Template", "tags": [], "nodes": [ { "id": "1976d330-4339-4a6c-9915-f62fcb2690be", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "onError": "continueErrorOutput", "maxTries": 3, "position": [ 768, -432 ], "parameters": { "text": "=\u041f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u0439 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e \u0430\u043a\u0446\u0438\u0438 {{ $json.context.ticker }} \u043d\u0430 \u0442\u0430\u0439\u043c\u0444\u0440\u0435\u0439\u043c\u0435 {{ $json.context.timeFrame }} \u0438 \u0441\u043e\u0437\u0434\u0430\u0439 \u0432\u0438\u0440\u0443\u0441\u043d\u044b\u0439 \u043f\u043e\u0441\u0442 \u0434\u043b\u044f \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439.\n\n\u0414\u0430\u043d\u043d\u044b\u0435 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430:\n{{ JSON.stringify($json, null, 2) }}\n\n\u0421\u043e\u0437\u0434\u0430\u0439 JSON \u0441 \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u043c \u0438 \u043f\u043e\u043b\u043d\u044b\u043c \u0442\u0435\u043a\u0441\u0442\u043e\u043c \u043f\u043e\u0441\u0442\u0430 \u0441\u043e\u0433\u043b\u0430\u0441\u043d\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u044f\u043c.", "options": { "systemMessage": "=\u0420\u043e\u043b\u044c \u0438 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\n\u0422\u044b \u2014 \u044d\u043a\u0441\u043f\u0435\u0440\u0442 \u043f\u043e \u0430\u043a\u0446\u0438\u044f\u043c \u0441 10+ \u043b\u0435\u0442 \u043e\u043f\u044b\u0442\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0443\u043c\u0435\u0435\u0442 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0442\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u0435 \u0432\u0435\u0449\u0438 \u043f\u0440\u043e\u0441\u0442\u044b\u043c\u0438 \u0441\u043b\u043e\u0432\u0430\u043c\u0438. \u0422\u0432\u043e\u044f \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0438\u044f \u2014 \u043e\u0431\u044b\u0447\u043d\u044b\u0435 \u043b\u044e\u0434\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0445\u043e\u0442\u044f\u0442 \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c \u043d\u0430 \u0430\u043a\u0446\u0438\u044f\u0445, \u043d\u043e \u043d\u0435 \u0440\u0430\u0437\u0431\u0438\u0440\u0430\u044e\u0442\u0441\u044f \u0432 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0442\u0435\u0440\u043c\u0438\u043d\u0430\u0445.\n\n\u0417\u0430\u0434\u0430\u0447\u0430\n\u0421\u043e\u0437\u0434\u0430\u0439 \u0432\u0438\u0440\u0443\u0441\u043d\u044b\u0439 \u043f\u043e\u0441\u0442 \u0434\u043b\u044f \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0439:\n- \u041f\u0440\u0438\u0432\u043b\u0435\u043a\u0430\u0435\u0442 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u0441 \u043f\u0435\u0440\u0432\u044b\u0445 \u0441\u0442\u0440\u043e\u043a\n- \u041e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442 \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u044e \u0431\u0435\u0437 \u0436\u0430\u0440\u0433\u043e\u043d\u0430 \n- \u0414\u0430\u0435\u0442 \u0447\u0435\u0442\u043a\u0438\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0438\n- \u041c\u043e\u0442\u0438\u0432\u0438\u0440\u0443\u0435\u0442 \u043f\u043e\u0434\u043f\u0438\u0441\u0430\u0442\u044c\u0441\u044f \u043d\u0430 \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u0443\u044e \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0443\n\n\u0424\u043e\u0440\u043c\u0430\u0442 \u043e\u0442\u0432\u0435\u0442\u0430\n\u0412\u0410\u0416\u041d\u041e: \u041e\u0442\u0432\u0435\u0442 \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u0442\u044c \u0422\u041e\u041b\u042c\u041a\u041e \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 JSON:\n{\n \"title\": \"\u0417\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a \u043f\u043e\u0441\u0442\u0430\",\n \"summary\": \"\u041f\u043e\u043b\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442 \u043f\u043e\u0441\u0442\u0430\"\n}\n\n\u0421\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 title:\n\ud83d\udd25 \u0418\u043d\u0442\u0440\u0438\u0433\u0443\u044e\u0449\u0438\u0439 \u0445\u0443\u043a-\u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a (1 \u0441\u0442\u0440\u043e\u043a\u0430 \u0441 \u044d\u043c\u043e\u0434\u0437\u0438):\n- \"\ud83d\udd25 \u0413\u0430\u0437\u043f\u0440\u043e\u043c \u0433\u043e\u0442\u043e\u0432\u0438\u0442\u0441\u044f \u043a \u0440\u044b\u0432\u043a\u0443 \u0432\u0432\u0435\u0440\u0445!\"\n- \"\u26a1 \u0412\u043d\u0438\u043c\u0430\u043d\u0438\u0435! \u0421\u0431\u0435\u0440 \u0434\u0430\u0435\u0442 \u0441\u0438\u0433\u043d\u0430\u043b \u043d\u0430 \u043f\u043e\u043a\u0443\u043f\u043a\u0443\" \n- \"\ud83c\udfaf \u042f\u043d\u0434\u0435\u043a\u0441: \u0432\u0440\u0435\u043c\u044f \u0432\u0445\u043e\u0434\u0438\u0442\u044c \u0438\u043b\u0438 \u043b\u0443\u0447\u0448\u0435 \u043f\u043e\u0434\u043e\u0436\u0434\u0430\u0442\u044c?\"\n\n\u0421\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 summary (4 \u0431\u043b\u043e\u043a\u0430):\n\n1. \ud83d\udcca \u0427\u0442\u043e \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442 \u0441\u0435\u0439\u0447\u0430\u0441 (2-3 \u0441\u0442\u0440\u043e\u043a\u0438)\n\u041f\u0440\u043e\u0441\u0442\u044b\u043c \u044f\u0437\u044b\u043a\u043e\u043c \u043e\u0431\u044a\u044f\u0441\u043d\u0438 \u0442\u0435\u043a\u0443\u0449\u0443\u044e \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u044e:\n- \u0420\u0430\u0441\u0442\u0435\u0442/\u043f\u0430\u0434\u0430\u0435\u0442/\u0441\u0442\u043e\u0438\u0442 \u0432 \u0431\u043e\u043a\u043e\u0432\u0438\u043a\u0435\n- \u041f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u0438 \u0441\u0438\u043b\u044c\u043d\u0435\u0435/\u0441\u043b\u0430\u0431\u0435\u0435 \u043f\u0440\u043e\u0434\u0430\u0432\u0446\u043e\u0432\n- \u0412\u044b\u0441\u043e\u043a\u0430\u044f/\u043d\u0438\u0437\u043a\u0430\u044f \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c \u0442\u043e\u0440\u0433\u043e\u0432\n\n2. \ud83c\udfaf \u0421\u0438\u0433\u043d\u0430\u043b\u044b \u0440\u044b\u043d\u043a\u0430 \u0433\u043e\u0432\u043e\u0440\u044f\u0442 (3-4 \u0441\u0442\u0440\u043e\u043a\u0438)\n\u041f\u0435\u0440\u0435\u0432\u0435\u0434\u0438 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0438\u043d\u0434\u0438\u043a\u0430\u0442\u043e\u0440\u044b \u043d\u0430 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u0438\u0439 \u044f\u0437\u044b\u043a:\n\n\u0420\u0430\u0441\u0448\u0438\u0444\u0440\u043e\u0432\u043a\u0430 \u0438\u043d\u0434\u0438\u043a\u0430\u0442\u043e\u0440\u043e\u0432:\n- RSI > 70 = \"\u0430\u043a\u0446\u0438\u044f \u043f\u0435\u0440\u0435\u043a\u0443\u043f\u043b\u0435\u043d\u0430\"\n- RSI < 30 = \"\u0430\u043a\u0446\u0438\u044f \u043f\u0435\u0440\u0435\u043f\u0440\u043e\u0434\u0430\u043d\u0430\"\n- RSI 40-60 = \"\u043d\u0435\u0439\u0442\u0440\u0430\u043b\u044c\u043d\u0430\u044f \u0437\u043e\u043d\u0430\"\n- MACD bullish = \"\u0438\u043c\u043f\u0443\u043b\u044c\u0441 \u043d\u0430\u0431\u0438\u0440\u0430\u0435\u0442 \u0441\u0438\u043b\u0443\"\n- MACD bearish = \"\u0438\u043c\u043f\u0443\u043b\u044c\u0441 \u0441\u043b\u0430\u0431\u0435\u0435\u0442\"\n- \u0426\u0435\u043d\u0430 \u0432\u044b\u0448\u0435 SMA20 = \"\u043a\u0440\u0430\u0442\u043a\u043e\u0441\u0440\u043e\u0447\u043d\u044b\u0439 \u0442\u0440\u0435\u043d\u0434 \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439\"\n- EMA death cross = \"\u0434\u043e\u043b\u0433\u043e\u0441\u0440\u043e\u0447\u043d\u044b\u0439 \u043c\u0435\u0434\u0432\u0435\u0436\u0438\u0439 \u0441\u0438\u0433\u043d\u0430\u043b\"\n- EMA golden cross = \"\u0434\u043e\u043b\u0433\u043e\u0441\u0440\u043e\u0447\u043d\u044b\u0439 \u0431\u044b\u0447\u0438\u0439 \u0441\u0438\u0433\u043d\u0430\u043b\"\n- ADX > 25 = \"\u0441\u0438\u043b\u044c\u043d\u044b\u0439 \u0442\u0440\u0435\u043d\u0434\"\n- ADX < 20 = \"\u0441\u043b\u0430\u0431\u044b\u0439 \u0442\u0440\u0435\u043d\u0434\"\n- BB \u043f\u043e\u0437\u0438\u0446\u0438\u044f > 0.8 = \"\u0432 \u0432\u0435\u0440\u0445\u043d\u0435\u0439 \u0447\u0430\u0441\u0442\u0438 \u043a\u0430\u043d\u0430\u043b\u0430\"\n- BB \u043f\u043e\u0437\u0438\u0446\u0438\u044f < 0.2 = \"\u0432 \u043d\u0438\u0436\u043d\u0435\u0439 \u0447\u0430\u0441\u0442\u0438 \u043a\u0430\u043d\u0430\u043b\u0430\"\n\n3. \ud83d\udca1 \u0427\u0442\u043e \u044d\u0442\u043e \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u0434\u043b\u044f \u043d\u0430\u0441 (2-3 \u0441\u0442\u0440\u043e\u043a\u0438)\n\u041e\u0431\u044a\u044f\u0441\u043d\u0438 \u043f\u043e\u0447\u0435\u043c\u0443 \u044d\u0442\u043e \u0432\u0430\u0436\u043d\u043e \u0438 \u043a \u0447\u0435\u043c\u0443 \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u0438\u0432\u0435\u0441\u0442\u0438:\n- \u041a\u0430\u043a\u0438\u0435 \u0440\u0438\u0441\u043a\u0438\n- \u041a\u0430\u043a\u0438\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438\n- \u041d\u0430 \u0447\u0442\u043e \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u044c \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435\n\n4. \u26a1 \u041f\u043b\u0430\u043d \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0439 (2-3 \u0441\u0442\u0440\u043e\u043a\u0438 + \u043f\u0440\u0438\u0437\u044b\u0432)\n\u0427\u0435\u0442\u043a\u0438\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u0438:\n- \u041f\u041e\u041a\u0423\u041f\u0410\u0415\u041c \u2014 \u0435\u0441\u043b\u0438 \u0441\u0438\u0433\u043d\u0430\u043b\u044b \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435\n- \u041f\u0420\u041e\u0414\u0410\u0415\u041c \u2014 \u0435\u0441\u043b\u0438 \u043f\u043e\u0440\u0430 \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u0438\u0431\u044b\u043b\u044c\n- \u0416\u0414\u0415\u041c \u2014 \u0435\u0441\u043b\u0438 \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u044f \u043d\u0435\u044f\u0441\u043d\u0430\u044f\n\n\u041e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u0438\u0437\u044b\u0432: \"\u0421\u0442\u0430\u0432\u044c \u2764\ufe0f \u0435\u0441\u043b\u0438 \u043f\u043e\u043b\u0435\u0437\u043d\u043e! \u041f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0441\u044f \u043d\u0430 \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u0443\u044e \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0443 \ud83d\udcc8\"\n\n\u0421\u0442\u0438\u043b\u044c \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f:\n- \u2705 \u041f\u0440\u043e\u0441\u0442\u044b\u0435 \u0441\u043b\u043e\u0432\u0430 \u0432\u043c\u0435\u0441\u0442\u043e \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u0432\n- \u2705 \u0410\u043a\u0442\u0438\u0432\u043d\u044b\u0435 \u0433\u043b\u0430\u0433\u043e\u043b\u044b \u0438 \u044d\u043c\u043e\u0446\u0438\u0438\n- \u2705 \u041a\u043e\u0440\u043e\u0442\u043a\u0438\u0435 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f\n- \u2705 \u0423\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u0432 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u044f\u0445\n- \u2705 \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u043c\u043e\u0434\u0437\u0438 \u0434\u043b\u044f \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438\n- \u274c \u041d\u0438\u043a\u0430\u043a\u043e\u0439 \u043d\u0435\u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0441\u0442\u0438 (\"\u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\", \"\u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c\")\n- \u274c \u0422\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0436\u0430\u0440\u0433\u043e\u043d \u0431\u0435\u0437 \u043e\u0431\u044a\u044f\u0441\u043d\u0435\u043d\u0438\u0439\n- \u274c \u0414\u043b\u0438\u043d\u043d\u044b\u0435 \u0430\u0431\u0437\u0430\u0446\u044b\n\n\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a \u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e JSON:\n- \u0412\u0441\u0435 \u0441\u043f\u0435\u0446\u0441\u0438\u043c\u0432\u043e\u043b\u044b \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u043e \u044d\u043a\u0440\u0430\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u044b\n- \u041f\u0435\u0440\u0435\u043d\u043e\u0441\u044b \u0441\u0442\u0440\u043e\u043a \u0447\u0435\u0440\u0435\u0437 \\n\n- \u0416\u0438\u0440\u043d\u044b\u0439 \u0442\u0435\u043a\u0441\u0442 \u0447\u0435\u0440\u0435\u0437 \u0442\u0435\u043a\u0441\u0442\n- *\u041a\u0443\u0440\u0441\u0438\u0432* \u0447\u0435\u0440\u0435\u0437 *\u0442\u0435\u043a\u0441\u0442*\n- \u041c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0434\u043b\u0438\u043d\u0430 summary: 1200 \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u0432\n\n\u0426\u0435\u043b\u044c:\n\u0427\u0438\u0442\u0430\u0442\u0435\u043b\u044c \u0434\u043e\u043b\u0436\u0435\u043d \u043f\u043e\u0434\u0443\u043c\u0430\u0442\u044c: *\"\u0412\u0430\u0443, \u043a\u0430\u043a \u043f\u0440\u043e\u0441\u0442\u043e \u043e\u0431\u044a\u044f\u0441\u043d\u0438\u043b! \u0425\u043e\u0447\u0443 \u0435\u0449\u0435 \u0442\u0430\u043a\u0443\u044e \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0443!\"*\n\n\u041f\u0440\u0438\u043c\u0435\u0440 \u043e\u0442\u0432\u0435\u0442\u0430:\n{\n \"title\": \"\ud83d\udd25 \u0413\u0430\u0437\u043f\u0440\u043e\u043c: \u0433\u043e\u0442\u043e\u0432\u0438\u0442\u0441\u044f \u043c\u043e\u0449\u043d\u044b\u0439 \u0440\u044b\u0432\u043e\u043a \u0432\u0432\u0435\u0440\u0445!\",\n \"summary\": \"\ud83d\udcca \u0427\u0442\u043e \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442 \u0441\u0435\u0439\u0447\u0430\u0441:\\n\u0413\u0430\u0437\u043f\u0440\u043e\u043c \u0442\u043e\u0440\u0433\u0443\u0435\u0442\u0441\u044f \u0432\u044b\u0448\u0435 \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0445 \u0443\u0440\u043e\u0432\u043d\u0435\u0439 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438. \u041f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u0438 \u0430\u043a\u0442\u0438\u0432\u043d\u0435\u0435 \u043f\u0440\u043e\u0434\u0430\u0432\u0446\u043e\u0432, \u043e\u0431\u044a\u0435\u043c\u044b \u0442\u043e\u0440\u0433\u043e\u0432 \u0440\u0430\u0441\u0442\u0443\u0442. \u0410\u043a\u0446\u0438\u044f \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043f\u0440\u0438\u0437\u043d\u0430\u043a\u0438 \u043d\u0430\u043a\u043e\u043f\u043b\u0435\u043d\u0438\u044f \u043f\u0435\u0440\u0435\u0434 \u0440\u044b\u0432\u043a\u043e\u043c.\\n\\n\ud83c\udfaf \u0421\u0438\u0433\u043d\u0430\u043b\u044b \u0440\u044b\u043d\u043a\u0430 \u0433\u043e\u0432\u043e\u0440\u044f\u0442:\\n\u0418\u043d\u0434\u0438\u043a\u0430\u0442\u043e\u0440 \u0441\u0438\u043b\u044b \u0432 \u043d\u0435\u0439\u0442\u0440\u0430\u043b\u044c\u043d\u043e\u0439 \u0437\u043e\u043d\u0435 - \u0435\u0441\u0442\u044c \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b \u0434\u043b\u044f \u0440\u043e\u0441\u0442\u0430. \u0418\u043c\u043f\u0443\u043b\u044c\u0441 \u043d\u0430\u0431\u0438\u0440\u0430\u0435\u0442 \u0441\u0438\u043b\u0443, \u043a\u0440\u0430\u0442\u043a\u043e\u0441\u0440\u043e\u0447\u043d\u044b\u0439 \u0442\u0440\u0435\u043d\u0434 \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439. \u0410\u043a\u0446\u0438\u044f \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u0432\u0435\u0440\u0445\u043d\u0435\u0439 \u0447\u0430\u0441\u0442\u0438 \u0442\u043e\u0440\u0433\u043e\u0432\u043e\u0433\u043e \u043a\u0430\u043d\u0430\u043b\u0430, \u0447\u0442\u043e \u0433\u043e\u0432\u043e\u0440\u0438\u0442 \u043e\u0431 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u0435\u0439.\\n\\n\ud83d\udca1 \u0427\u0442\u043e \u044d\u0442\u043e \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u0434\u043b\u044f \u043d\u0430\u0441:\\n\u0422\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0441\u0438\u0433\u043d\u0430\u043b\u044b \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u043d\u0430 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u044f \u0440\u043e\u0441\u0442\u0430. \u0425\u043e\u0440\u043e\u0448\u0438\u0439 \u043c\u043e\u043c\u0435\u043d\u0442 \u0434\u043b\u044f \u0432\u0445\u043e\u0434\u0430 \u0432 \u043f\u043e\u0437\u0438\u0446\u0438\u044e. \u0420\u0438\u0441\u043a\u0438 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u044b \u0442\u0435\u043a\u0443\u0449\u0438\u043c\u0438 \u0443\u0440\u043e\u0432\u043d\u044f\u043c\u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438.\\n\\n\u26a1 \u041f\u043b\u0430\u043d \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0439:\\n\u041f\u041e\u041a\u0423\u041f\u0410\u0415\u041c \u2014 \u0432\u0441\u0435 \u0441\u0438\u0433\u043d\u0430\u043b\u044b \u0437\u0435\u043b\u0435\u043d\u044b\u0435, \u0442\u0440\u0435\u043d\u0434 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u0440\u043e\u0441\u0442. \u0426\u0435\u043b\u0435\u0432\u043e\u0439 \u0443\u0440\u043e\u0432\u0435\u043d\u044c 140-145 \u0440\u0443\u0431\u043b\u0435\u0439 \u0437\u0430 \u0430\u043a\u0446\u0438\u044e.\\n\\n\u0421\u0442\u0430\u0432\u044c \u2764\ufe0f \u0435\u0441\u043b\u0438 \u043f\u043e\u043b\u0435\u0437\u043d\u043e! \u041f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0441\u044f \u043d\u0430 \u043a\u0430\u043d\u0430\u043b \ud83d\udcc8\"\n}\n\n\u041a\u0440\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0432\u0430\u0436\u043d\u043e:\n- \u041e\u0442\u0432\u0435\u0442 \u2014 \u0442\u043e\u043b\u044c\u043a\u043e \u0432\u0430\u043b\u0438\u0434\u043d\u044b\u0439 JSON-\u043e\u0431\u044a\u0435\u043a\u0442 \u0441\u0442\u0440\u043e\u0433\u043e \u044d\u0442\u043e\u0433\u043e \u0432\u0438\u0434\u0430:\n{\"title\": \"string\", \"summary\": \"string\"}. \n- \u0411\u0435\u0437 \u043a\u043e\u0434\u0430, \u0431\u0435\u0437 \u0442\u0435\u043a\u0441\u0442\u0430 \u0432\u043d\u0435 JSON. \n- \u041f\u0435\u0440\u0435\u043d\u043e\u0441\u044b \u0441\u0442\u0440\u043e\u043a \u2014 \\n. \n- \u041a\u0430\u0432\u044b\u0447\u043a\u0438 \u0432\u043d\u0443\u0442\u0440\u0438 \u0441\u0442\u0440\u043e\u043a \u2014 \u044d\u043a\u0440\u0430\u043d\u0438\u0440\u043e\u0432\u0430\u0442\u044c.\n- \u041e\u0442\u0432\u0435\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0422\u041e\u041b\u042c\u041a\u041e \u0432\u0430\u043b\u0438\u0434\u043d\u044b\u0439 JSON\n- \u041d\u0438\u043a\u0430\u043a\u0438\u0445 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0432\u043d\u0435 JSON\n- \u0412\u0441\u0435 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0442\u0435\u0440\u043c\u0438\u043d\u044b \u043f\u0435\u0440\u0435\u0432\u0435\u0434\u0435\u043d\u044b \u043d\u0430 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u044f\u0437\u044b\u043a\n- \u0427\u0435\u0442\u043a\u0430\u044f \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0446\u0438\u044f \u043a \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044e \u0432 \u043a\u043e\u043d\u0446\u0435" }, "promptType": "define", "hasOutputParser": true }, "retryOnFail": true, "typeVersion": 2.2 }, { "id": "bf94369a-e36d-460e-903e-2c78a428291d", "name": "OpenRouter Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "position": [ 736, -64 ], "parameters": { "model": "openai/gpt-oss-120b", "options": {} }, "credentials": { "openRouterApi": { "name": "" } }, "typeVersion": 1 }, { "id": "8affe1e1-06bb-49ab-bead-95e6de0696f8", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -192, -432 ], "parameters": { "rule": { "interval": [ { "triggerAtHour": 11, "triggerAtMinute": 15 }, { "triggerAtHour": 18, "triggerAtMinute": 15 } ] } }, "typeVersion": 1.2 }, { "id": "2843ee64-77b1-40ad-927c-742786ecd60e", "name": "Execute Auth Login", "type": "n8n-nodes-base.executeWorkflow", "position": [ 880, -704 ], "parameters": { "options": {}, "workflowId": { "__rl": true, "mode": "list", "value": "gz5RhsAPZztWijnP", "cachedResultName": "BCS Login" }, "workflowInputs": { "value": {}, "schema": [ { "id": "s", "type": "string", "display": true, "required": false, "displayName": "s", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "s" ], "attemptToConvertTypes": false, "convertFieldsToString": true } }, "typeVersion": 1.2 }, { "id": "95946c93-adc2-48e5-b7d8-3413551c694a", "name": "Execute Auth Trade API", "type": "n8n-nodes-base.executeWorkflow", "position": [ 208, -432 ], "parameters": { "options": {}, "workflowId": { "__rl": true, "mode": "list", "value": "e4nUcFlYhUsQcGi8", "cachedResultName": "Trade API Auth" }, "workflowInputs": { "value": { "ticker": "={{ $json.ticker }}", "classCode": "={{ $json.classCode }}" }, "schema": [ { "id": "ticker", "type": "string", "display": true, "removed": false, "required": false, "displayName": "ticker", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "classCode", "type": "string", "display": true, "removed": false, "required": false, "displayName": "classCode", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "s" ], "attemptToConvertTypes": false, "convertFieldsToString": true } }, "typeVersion": 1.2 }, { "id": "4555c391-af96-4600-9d27-5df6e60489f0", "name": "Telegram Trigger", "type": "n8n-nodes-base.telegramTrigger", "position": [ -192, -672 ], "parameters": { "updates": [ "callback_query" ], "additionalFields": {} }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "86148c42-ccfd-4565-b32c-b9316bc38ee8", "name": "\u041e\u0448\u0438\u0431\u043a\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438", "type": "n8n-nodes-base.telegram", "position": [ 1248, -608 ], "parameters": { "text": "\u041e\u0448\u0438\u0431\u043a\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438", "chatId": "{ admin_chat_id }", "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "3475bd7c-edd8-4bc5-9a7c-40c2ca16bff5", "name": "\u0423\u0441\u043f\u0435\u0448\u043d\u043e \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u043e", "type": "n8n-nodes-base.telegram", "position": [ 1248, -768 ], "parameters": { "text": "\u041f\u043e\u0441\u0442 \u0443\u0441\u043f\u0435\u0448\u043d\u043e \u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d", "chatId": "{ admin_chat_id }", "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "b59a7aa8-ec1c-44e2-88ef-dd945631864e", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 864, -208 ], "parameters": { "autoFix": true, "schemaType": "manual", "inputSchema": "{\n \"title\": \"string\",\n \"summary\": \"string\"\n}" }, "typeVersion": 1.3 }, { "id": "e8f8b5c4-f4a3-492d-a78a-ac34261a8b94", "name": "Get Action Type", "type": "n8n-nodes-base.set", "position": [ -16, -672 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "ccf9b9b2-6b12-4bf7-9b35-7f2b70a49e40", "name": "action", "type": "string", "value": "={{ $json.callback_query.data.split('::')[0] }}" }, { "id": "52ee0570-ed4c-4d3a-bc79-ed2589db5cae", "name": "id", "type": "string", "value": "={{ $json.callback_query.data.split('::')[1] }}" } ] } }, "typeVersion": 3.4 }, { "id": "fc7a86db-af8b-4201-a794-7dd60bf5e14e", "name": "Exist type and id", "type": "n8n-nodes-base.if", "position": [ 160, -672 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "ca9eaef8-3da9-477c-a782-e7f4f2f7452f", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "leftValue": "={{ $json.action }}", "rightValue": "" }, { "id": "abaf219d-a434-484b-85e6-854f2f78481d", "operator": { "type": "string", "operation": "exists", "singleValue": true }, "leftValue": "={{ $json.id }}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "153d877b-6ada-482d-acf9-141cc5e18776", "name": "Get Post By Id", "type": "n8n-nodes-base.postgres", "position": [ 352, -688 ], "parameters": { "limit": 1, "table": { "__rl": true, "mode": "list", "value": "analytics_history", "cachedResultName": "analytics_history" }, "where": { "values": [ { "value": "={{ $json.id }}", "column": "id" } ] }, "schema": { "__rl": true, "mode": "list", "value": "public" }, "options": {}, "operation": "select" }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.6 }, { "id": "86b0748f-c556-4979-a69f-9156d6085f2e", "name": "\u041e\u0448\u0438\u0431\u043a\u0430 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438", "type": "n8n-nodes-base.telegram", "position": [ 1184, -208 ], "parameters": { "text": "=\u041e\u0448\u0438\u0431\u043a\u0430 \u043f\u0440\u0438 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u043f\u043e\u0441\u0442\u0430 ticker: {{ $json.context.ticker }}", "chatId": "{ admin_chat_id }", "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "00861c84-cad2-4822-8378-e37c7d07f5f5", "name": "\u0418\u0441\u0442\u043e\u0440\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0435", "type": "n8n-nodes-base.httpRequest", "maxTries": 2, "position": [ 400, -432 ], "parameters": { "url": "https://be.broker.ru/trade-api-market-data-connector/api/v1/candles-chart", "options": {}, "sendQuery": true, "sendHeaders": true, "queryParameters": { "parameters": [ { "name": "ticker", "value": "={{ $('\u0414\u0430\u043d\u043d\u044b\u0435 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 (\u0442\u0443\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442\u0441\u044f ticker)').item.json.ticker }}" }, { "name": "classCode", "value": "={{ $('\u0414\u0430\u043d\u043d\u044b\u0435 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 (\u0442\u0443\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442\u0441\u044f ticker)').item.json.classCode }}" }, { "name": "timeFrame", "value": "H1" }, { "name": "startDate", "value": "={{new Date(Date.now() - 24 * 60 * 60 * 1000 * 60).toISOString()}}" }, { "name": "endDate", "value": "={{new Date().toISOString()}}" } ] }, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "=Bearer {{ $('Execute Auth Trade API').item.json.access_token }}" } ] } }, "retryOnFail": true, "typeVersion": 4.1, "alwaysOutputData": true }, { "id": "0258bea4-7914-4fd3-8161-52dc5a1ee4fd", "name": "\u0420\u0430\u0441\u0441\u0447\u0435\u0442 TA", "type": "n8n-nodes-base.code", "position": [ 592, -432 ], "parameters": { "jsCode": "// ===== Compact TA for multi-ticker =====\n// Input options:\n// A) multiple items: [{ json: { ticker, classCode, timeFrame, bars: [...] } }, ...]\n// B) single item with batch: { json: { batch: [{ticker, classCode, timeFrame, bars:[...]}] } }\n// C) single item with dict: { json: { barsByTicker: { TICKER: [...], ... }, classCode, timeFrame } }\n//\n// Output: one item per ticker: { context, last, derived }\n\nconst PERIOD_RSI = 14;\nconst BB_PERIOD = 20, BB_K = 2.0;\nconst SMA_PERIOD = 20;\nconst EMA_FAST = 50, EMA_SLOW = 200;\nconst MACD_FAST = 12, MACD_SLOW = 26, MACD_SIGNAL = 9;\nconst ADX_PERIOD = 14;\n\n// ---------- helpers ----------\nfunction num(x){ const n = Number(x); return Number.isFinite(n) ? n : NaN; }\nfunction sma(arr, p){\n const out = new Array(arr.length).fill(null); let s=0;\n for(let i=0;i=p) s-=arr[i-p]; if(i>=p-1) out[i]=s/p; }\n return out;\n}\nfunction ema(arr, p){\n const out=new Array(arr.length).fill(null); const k=2/(p+1);\n let s=0; for(let i=0;ia+b,0)/sl.length;\n const v=sl.reduce((a,b)=>a+(b-m)*(b-m),0)/sl.length;\n out[i]=Math.sqrt(v);\n }\n return out;\n}\nfunction rsi(arr,p=14){\n const out=new Array(arr.length).fill(null); let g=0,l=0;\n for(let i=1;i<=p;i++){ const ch=arr[i]-arr[i-1]; if(ch>0) g+=ch; else l-=ch; }\n let avgG=g/p, avgL=l/p; out[p]=100 - (100/(1 + (avgL===0?Infinity:avgG/avgL)));\n for(let i=p+1;idn && up>0)?up:0; minusDM[i]=(dn>up && dn>0)?dn:0; TR[i]=tr(highs[i],lows[i],closes[i-1]);\n }\n const ATR=wilder(TR.map(v=>v??0),p);\n const plusDI=wilder(plusDM.map(v=>v??0),p).map((v,i)=> ATR[i]?100*v/ATR[i]:null);\n const minusDI=wilder(minusDM.map(v=>v??0),p).map((v,i)=> ATR[i]?100*v/ATR[i]:null);\n const DX=plusDI.map((pdi,i)=> (pdi!=null && minusDI[i]!=null && (pdi+minusDI[i])!==0)? 100*Math.abs(pdi-minusDI[i])/(pdi+minusDI[i]) : null);\n const ADX=wilder(DX.map(v=>v??0),p);\n return { plusDI, minusDI, ADX };\n}\nfunction clamp01(x){ return Math.max(0, Math.min(1, x)); }\n\n// ---------- core compute for single ticker ----------\nfunction computeOne(meta){\n const raw = Array.isArray(meta.bars) ? meta.bars : [];\n if (raw.length < 30) {\n return {\n error: true,\n payload: { context: { ticker: meta.ticker ?? null }, message: \"\u041d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u0431\u0430\u0440\u043e\u0432 (\u043d\u0443\u0436\u043d\u043e >= 30)\" }\n };\n }\n\n // sort asc & normalize\n const bars = raw.slice().sort((a,b)=> new Date(a.time) - new Date(b.time))\n .map(b=>({\n time:String(b.time),\n open:num(b.open), high:num(b.high), low:num(b.low), close:num(b.close), volume:num(b.volume)\n }));\n\n const N = bars.length;\n const closes = bars.map(b=>b.close), highs = bars.map(b=>b.high), lows = bars.map(b=>b.low);\n\n // series\n const rsi14 = rsi(closes, PERIOD_RSI);\n const sma20 = sma(closes, SMA_PERIOD);\n const ema50 = ema(closes, EMA_FAST);\n const ema200 = ema(closes, EMA_SLOW);\n\n const ema12 = ema(closes, MACD_FAST);\n const ema26 = ema(closes, MACD_SLOW);\n const macdLine = closes.map((_,i)=> (ema12[i]!=null && ema26[i]!=null) ? ema12[i]-ema26[i] : null);\n const macdForSignal = macdLine.map(v=> v==null ? 0 : v);\n const macdSignalCore = ema(macdForSignal.filter((_,i)=> macdLine[i]!=null), MACD_SIGNAL);\n let si=0; const macdSignal = macdLine.map(v=> v!=null ? macdSignalCore[si++] : null);\n const macdHist = macdLine.map((v,i)=> (v!=null && macdSignal[i]!=null) ? v - macdSignal[i] : null);\n\n const bbMid = sma20;\n const bbStd = rollingStd(closes, BB_PERIOD);\n const bbUpper = bbMid.map((m,i)=> m!=null ? m + BB_K*bbStd[i] : null);\n const bbLower = bbMid.map((m,i)=> m!=null ? m - BB_K*bbStd[i] : null);\n\n const { plusDI, minusDI, ADX } = adx(highs, lows, closes, ADX_PERIOD);\n\n // last\n const i = N - 1;\n const price = closes[i];\n const last = {\n price,\n rsi14: rsi14[i],\n macd: macdLine[i],\n macdSignal: macdSignal[i],\n macdHist: macdHist[i],\n bbUpper: bbUpper[i],\n bbMid: bbMid[i],\n bbLower: bbLower[i],\n sma20: sma20[i],\n ema50: ema50[i],\n ema200: ema200[i],\n adx14: ADX[i],\n plusDI: plusDI[i],\n minusDI: minusDI[i],\n };\n\n const derived = {\n priceAboveSma20: (price!=null && last.sma20!=null) ? (price > last.sma20) : null,\n emaCross: (last.ema50!=null && last.ema200!=null) ? (last.ema50>last.ema200 ? \"golden\" : last.ema50 last.macdSignal ? \"bullish\" : \"bearish\") : null,\n trendStrength: (last.adx14==null) ? null : (last.adx14<20 ? \"weak\" : last.adx14<40 ? \"moderate\" : \"strong\"),\n bbPos01: (last.bbUpper!=null && last.bbLower!=null && price!=null) ? clamp01((price - last.bbLower) / (last.bbUpper - last.bbLower)) : null,\n };\n\n const context = {\n ticker: meta.ticker ?? null,\n classCode: meta.classCode ?? null,\n timeFrame: meta.timeFrame ?? \"H1\",\n end: bars[N-1].time\n };\n\n return { error:false, payload:{ context, last, derived } };\n}\n\n// ---------- gather inputs ----------\nconst inputs = $input.all(); // A) multiple items case\n\nlet jobs = [];\n\n// A) multiple items with per-ticker bars\nif (inputs.length > 1 || (inputs[0]?.json?.bars && inputs[0]?.json?.ticker)) {\n jobs = inputs.map(it => ({ ticker: it.json.ticker, meta: it.json }));\n}\n// B) single item with batch: meta.batch = [{ticker, bars, ...}, ...]\nelse if (Array.isArray(inputs[0]?.json?.batch)) {\n jobs = inputs[0].json.batch.map(x => ({ ticker: x.ticker, meta: x }));\n}\n// C) single item with dict: meta.barsByTicker = { TICK1:[...], TICK2:[...] }\nelse if (inputs[0]?.json?.barsByTicker && typeof inputs[0].json.barsByTicker === 'object') {\n const common = { classCode: inputs[0].json.classCode, timeFrame: inputs[0].json.timeFrame };\n jobs = Object.entries(inputs[0].json.barsByTicker).map(([ticker, bars]) => ({\n ticker,\n meta: { ...common, ticker, bars }\n }));\n}\n// fallback: single standard item\nelse {\n jobs = [{ ticker: inputs[0]?.json?.ticker ?? null, meta: inputs[0]?.json ?? {} }];\n}\n\n// ---------- compute and return one item per ticker ----------\nconst out = [];\nfor (const { meta } of jobs) {\n const res = computeOne(meta);\n if (res.error) {\n out.push({ json: { error: res.payload.message || \"\u041d\u0435\u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u0431\u0430\u0440\u043e\u0432 (\u043d\u0443\u0436\u043d\u043e >= 30)\", context: { ticker: meta.ticker ?? null } } });\n } else {\n out.push({ json: res.payload });\n }\n}\n\nreturn out;\n" }, "typeVersion": 2 }, { "id": "f721ec3f-c629-4045-b80d-786e78fc6672", "name": "ID Generation", "type": "n8n-nodes-base.crypto", "position": [ 1072, -432 ], "parameters": { "action": "generate" }, "typeVersion": 1 }, { "id": "a5271f93-d5da-4e12-832d-de52d5c96dbe", "name": "\u041e\u0442\u043f\u0440\u0430\u0432\u043a\u0430 \u043f\u043e\u0441\u0442\u0430 \u043d\u0430 \u0432\u0430\u043b\u0438\u0434\u0430\u0446\u0438\u044e", "type": "n8n-nodes-base.telegram", "onError": "continueErrorOutput", "position": [ 1424, -432 ], "parameters": { "text": "={{ $json.title }}\n\n{{ $json.summary }}", "chatId": "={ admin_chat_id }", "replyMarkup": "inlineKeyboard", "inlineKeyboard": { "rows": [ { "row": { "buttons": [ { "text": "\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u0442\u044c", "additionalFields": { "callback_data": "=publish::{{ $('ID Generation').item.json.data }}" } }, { "text": "\u041f\u043e\u0432\u0442\u043e\u0440\u0438\u0442\u044c", "additionalFields": { "callback_data": "=retry::{{ $('ID Generation').item.json.data }}" } } ] } } ] }, "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "executeOnce": false, "typeVersion": 1.2, "alwaysOutputData": false }, { "id": "bbdaca8b-ced8-4531-99e0-88af94944352", "name": "\u041f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f \u043f\u043e\u0441\u0442\u0430\u0432 \u0432 \u041f\u0440\u043e\u0444\u0438\u0442\u0435", "type": "n8n-nodes-base.httpRequest", "onError": "continueErrorOutput", "position": [ 1056, -704 ], "parameters": { "url": "https://my.broker.ru/web/api/v2/newsfeed/posts", "method": "POST", "options": { "redirect": { "redirect": {} } }, "sendBody": true, "contentType": "multipart-form-data", "sendHeaders": true, "bodyParameters": { "parameters": [ { "name": "body", "value": "={{ $('\u0421\u043e\u0431\u0438\u0440\u0430\u0435\u043c \u043f\u043e\u0441\u0442').item.json.post.toJsonString() }}" } ] }, "headerParameters": { "parameters": [ { "name": "authorization", "value": "=Bearer {{ $json.access_token }}" } ] } }, "typeVersion": 4.2 }, { "id": "0b8c343a-567d-45b3-8883-9abe03a34b77", "name": "\u0420\u0430\u0437\u0432\u0438\u043b\u043a\u0430", "type": "n8n-nodes-base.switch", "position": [ 528, -688 ], "parameters": { "rules": { "values": [ { "outputKey": "publish", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "6705dbe2-66e4-4768-9400-e1de6d63b9d5", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $('Get Action Type').item.json.action }}", "rightValue": "publish" } ] }, "renameOutput": true }, { "outputKey": "retry", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "1d8c2bca-9762-4ee0-ad6b-a3f564e0103d", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $('Get Action Type').item.json.action }}", "rightValue": "retry" } ] }, "renameOutput": true } ] }, "options": {} }, "typeVersion": 3.2 }, { "id": "40f72a3f-9d40-4319-857a-3372b41732fc", "name": "\u0421\u043e\u0431\u0438\u0440\u0430\u0435\u043c \u043f\u043e\u0441\u0442", "type": "n8n-nodes-base.code", "position": [ 704, -704 ], "parameters": { "jsCode": "const ticker = $input.first().json.ticker\nconst classCode = $input.first().json.classCode\nconst title = $input.first().json.title\nconst text = $input.first().json.summary\n\nconst post = {\n title: title,\n content: `${text}\\n#\u0422\u0435\u0445\u0430\u043d\u0430\u043b\u0438\u0437 {$${ticker}}`,\n filesInfo: [],\n instruments: [{ securityCode: ticker, classCode: classCode }],\n profiles: [],\n tags: ['\u0422\u0435\u0445\u0430\u043d\u0430\u043b\u0438\u0437'],\n strategies: []\n};\n\nreturn [{ json: { post } }];\n" }, "typeVersion": 2 }, { "id": "3a1e1f0f-2b19-4f3e-8ef2-7ff5c1208253", "name": "Send a text message", "type": "n8n-nodes-base.telegram", "position": [ 1632, -336 ], "parameters": { "text": "=\u041e\u0448\u0438\u0431\u043a\u0430 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u043f\u043e {{ $json.ticker }} - {{ $json.error }}", "chatId": "{ admin_chat_id }", "replyMarkup": "inlineKeyboard", "inlineKeyboard": { "rows": [ { "row": { "buttons": [ { "text": "\u041f\u043e\u0432\u0442\u043e\u0440\u0438\u0442\u044c", "additionalFields": { "callback_data": "=retry::{{ $('ID Generation').item.json.data }}" } } ] } } ] }, "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "a332ec95-1e1a-44e1-9e2d-1c3ad24dcde5", "name": "\u0421\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u043f\u043e\u0441\u0442\u0430", "type": "n8n-nodes-base.postgres", "position": [ 1248, -432 ], "parameters": { "table": { "__rl": true, "mode": "list", "value": "analytics_history", "cachedResultName": "analytics_history" }, "schema": { "__rl": true, "mode": "list", "value": "public", "cachedResultName": "public" }, "columns": { "value": { "id": "={{ $json.data }}", "title": "={{ $('AI Agent').item.json.output.title }}", "ticker": "={{ $('\u0420\u0430\u0441\u0441\u0447\u0435\u0442 TA').item.json.context.ticker }}", "summary": "={{ $('AI Agent').item.json.output.summary }}", "classCode": "={{ $('\u0420\u0430\u0441\u0441\u0447\u0435\u0442 TA').item.json.context.classCode }}" }, "schema": [ { "id": "id", "type": "string", "display": true, "required": true, "displayName": "id", "defaultMatch": true, "canBeUsedToMatch": true }, { "id": "created_at", "type": "dateTime", "display": true, "required": false, "displayName": "created_at", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "summary", "type": "string", "display": true, "removed": false, "required": false, "displayName": "summary", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "ticker", "type": "string", "display": true, "removed": false, "required": false, "displayName": "ticker", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "classCode", "type": "string", "display": true, "removed": false, "required": false, "displayName": "classCode", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "title", "type": "string", "display": true, "removed": false, "required": false, "displayName": "title", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [ "id" ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.6 }, { "id": "cedff92e-feb3-403c-be04-f7fd74ad7fcb", "name": "\u0414\u0430\u043d\u043d\u044b\u0435 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 (\u0442\u0443\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442\u0441\u044f ticker)", "type": "n8n-nodes-base.code", "position": [ 0, -432 ], "parameters": { "jsCode": "const data = $input.first()?.json;\n\nconst defaultTickers = [ \n { ticker: \"GAZP\", classCode: \"TQBR\" }, \n { ticker: \"SBER\", classCode: \"TQBR\" },\n { ticker: \"LKOH\", classCode: \"TQBR\" }\n];\n\n// \u0415\u0441\u043b\u0438 \u0435\u0441\u0442\u044c \u0432\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0441 ticker \u0438 classCode - \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u0438\u0445, \u0438\u043d\u0430\u0447\u0435 \u0434\u0435\u0444\u043e\u043b\u0442\u043d\u044b\u0435\nconst result = (data?.ticker && data?.classCode) \n ? [{ ticker: data.ticker, classCode: data.classCode }]\n : defaultTickers;\n\nreturn result.map(item => ({ json: item }));" }, "typeVersion": 2 }, { "id": "76608d62-aef1-4fa2-b1cd-3bbd03b6b1b9", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -992, -784 ], "parameters": { "color": 5, "width": 700, "height": 924, "content": "# \ud83d\udcc8 AI Stock Analytics & BCS \"Profit\" Social Network Publishing Workflow \n\nThis workflow automatically generates stock market insights for selected tickers (e.g. GAZP, SBER, LKOH) using historical data, technical indicators, and an AI model. The results are then sent to Telegram for quick moderation and publishing. \n\n## \ud83d\udd11 What this workflow does\n- **Runs twice a day** on a schedule with a predefined list of tickers. \n- **Fetches historical market data** from a broker API. \n- **Calculates key technical indicators** (RSI, EMA/SMA, MACD, Bollinger Bands, ADX). \n- **Generates an investment post** (title + summary) using an LLM. \n- **Stores results** in a PostgreSQL database. \n- **Sends a draft post to Telegram** with inline buttons *\u201cPublish\u201d* and *\u201cRetry\u201d*. \n- **Handles Telegram actions**: publishes the post to the final channel or re-runs the generation process. \n\n## \ud83d\udccc Key features\n- Multi-ticker support in a single run. \n- Automatic error handling (e.g. missing data or invalid AI JSON output). \n- Human-in-the-loop moderation through Telegram before publishing. \n- PostgreSQL integration for history and analytics storage. \n- Flexible structure: easy to extend with new tickers, indicators, or publishing channels. \n\n## \ud83d\udee0\ufe0f Nodes used\n- **Trigger:** Schedule (twice daily) + Telegram Trigger (button callbacks). \n- **Data:** HTTP Request (broker API), Function (technical analysis calculations). \n- **AI:** OpenAI / OpenRouter with structured JSON output. \n- **Storage:** PostgreSQL (analytics history). \n- **Messaging:** Telegram (drafts and publishing). \n\n## \ud83d\ude80 Who is this for\n- Fintech startups looking to automate market content. \n- Investment bloggers posting daily stock analysis. \n- Analysts experimenting with trading strategies on real market data. \n" }, "typeVersion": 1 }, { "id": "a42b6f27-bdd6-412a-96b5-d8d3b2ca6271", "name": "Query callback", "type": "n8n-nodes-base.telegram", "position": [ -16, -832 ], "parameters": { "queryId": "={{ $json.callback_query.id }}", "resource": "callback", "additionalFields": {} }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 } ], "active": false, 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