{ "name": "EP Ratio Screener (sanitized template)", "nodes": [ { "parameters": { "rule": { "interval": [ { "triggerAtHour": 11, "triggerAtMinute": 1 } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.3, "position": [ 16736, 11888 ], "id": "10b8f2d4-ddf4-478a-8cf2-bc4d4693846e", "name": "Schedule Trigger" }, { "parameters": { "httpMethod": "POST", "path": "ep-ratio-screener", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ 16736, 11536 ], "id": "9b0fd086-ba52-4748-a190-7a7fe54bf891", "name": "Webhook" }, { "parameters": { "language": "pythonNative", "pythonCode": "import pandas as pd\nfrom pandas.tseries.holiday import USFederalHolidayCalendar\n\ntoday = pd.Timestamp.today().normalize()\ncal = USFederalHolidayCalendar()\nholidays = cal.holidays(start=today.replace(month=1, day=1), end=today.replace(month=12, day=31))\nis_weekend = today.dayofweek >= 5\nis_holiday = today in holidays\nreturn {\"is_working_day\": not (is_weekend or is_holiday)}" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 16928, 11888 ], "id": "c5260e82-15eb-4ae4-9cb3-4baf78e94bcd", "name": "Code in Python" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 3 }, "conditions": [ { "id": "fb91d733-aa5e-4374-b717-a5239b402d99", "leftValue": "={{ $json.is_working_day }}", "rightValue": true, "operator": { "type": "boolean", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.3, "position": [ 17120, 11888 ], "id": "c40c1c5e-a75e-4668-9ef2-130d0746a409", "name": "If" }, { "parameters": { "language": "pythonNative", "pythonCode": "import json\n\nitem = _items[0]\njson_data = item.get('json', item)\nbody = json_data.get('body', {}) or {}\n\nif isinstance(body, str):\n try:\n body = json.loads(body)\n except Exception:\n body = {}\n\ntickers = body.get('tickers', None)\nuse_fmp_screen = body.get('use_fmp_screen', None)\n\nif tickers is None:\n return [{'json': {'route': 'error', 'reason': 'tickers is required when calling via webhook, e.g. [\"AAPL\", \"MSFT\"]'}}]\n\nif not isinstance(tickers, list) or len(tickers) == 0:\n return [{'json': {'route': 'error', 'reason': 'tickers must be a non-empty list, e.g. [\"AAPL\", \"MSFT\"]'}}]\n\nreturn [{'json': {\n 'route': 'execute',\n 'tickers': tickers,\n 'use_fmp_screen': bool(use_fmp_screen) if use_fmp_screen is not None else False\n}}]" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 16928, 11536 ], "id": "d0823572-246c-4b47-876e-62a92dcf9f0f", "name": "ExtractWebhookBody" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 3 }, "conditions": [ { "id": "ep-wv-cond-01", "leftValue": "={{ $json.route }}", "rightValue": "execute", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.3, "position": [ 17120, 11536 ], "id": "45c94122-46d7-476e-8808-ca35d8ae59c6", "name": "Webhook Validation" }, { "parameters": { "jsCode": "const reason = $input.first().json.reason || 'Invalid request';\n\nreturn [{ json: {\n status: 'error',\n reason: reason,\n schema: {\n description: 'POST a JSON body to run EP Ratio screening. tickers is required for webhook requests; the daily scheduled job uses its own built-in default ticker list.',\n fields: {\n tickers: { type: 'array', required: true, example: ['AAPL','MSFT','NVDA'], note: 'Required. Must be a non-empty array, not a string. Not defaulted — the built-in ticker list is only used by the daily scheduled run.' },\n use_fmp_screen: { type: 'boolean', default: false, example: true, note: 'Use FMP pre-filter before EP ratio scoring.' }\n },\n validation_rules: [\n 'tickers is required and must be a non-empty array — e.g. [\"AAPL\",\"MSFT\"], not \"AAPL\"'\n ],\n example_requests: {\n custom_tickers: { tickers: ['AAPL', 'MSFT', 'NVDA', 'GOOG'] },\n with_fmp: { tickers: ['AAPL', 'MSFT', 'NVDA'], use_fmp_screen: true }\n },\n curl_example: \"curl -X POST https://n8n.limex.pro/webhook/ep-ratio-screener -H 'Content-Type: application/json' -d '{\\\"tickers\\\":[\\\"AAPL\\\",\\\"MSFT\\\",\\\"NVDA\\\"]}'\"\n }\n}}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 17312, 11392 ], "id": "a25e16e7-ba37-4976-8216-a93f6c1fc67d", "name": "Build Error Response" }, { "parameters": { "respondWith": "text", "responseBody": "={{ JSON.stringify($json) }}", "options": { "responseHeaders": { "entries": [ { "name": "Content-Type", "value": "application/json" } ] } } }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.5, "position": [ 17520, 11392 ], "id": "a0bd0179-e4d2-47bb-92e5-1e461881164a", "name": "Respond Error", "onError": "continueRegularOutput" }, { "parameters": {}, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 17328, 11888 ], "id": "9230efff-7543-4f99-b86f-90d15d71840f", "name": "Merge Triggers" }, { "parameters": { "jsCode": "const j = $input.first().json;\nconst defaultTickers = [\"AAPL\",\"MSFT\",\"GOOG\",\"CSCO\",\"AMZN\",\"JPM\",\"BAC\",\"GS\",\"JNJ\",\"UNH\",\"XOM\",\"CVX\",\"PG\",\"KO\",\"WMT\",\"HD\",\"V\",\"MA\",\"LLY\",\"NVDA\"];\nreturn [{ json: {\n tickers: j.tickers || defaultTickers,\n use_fmp_screen: j.use_fmp_screen != null ? j.use_fmp_screen : false,\n trigger_source: j.route === 'execute' ? 'webhook' : 'schedule'\n}}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 17536, 11888 ], "id": "a9e3c929-0f11-4e75-b85f-e49811bda03e", "name": "Set Parameters" }, { "parameters": { "method": "POST", "url": "", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" }, { "name": "Accept", "value": "application/json, text/event-stream" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"jsonrpc\": \"2.0\", \"id\": 1,\n \"method\": \"initialize\",\n \"params\": {\n \"protocolVersion\": \"2024-11-05\",\n \"capabilities\": {},\n \"clientInfo\": { \"name\": \"n8n\", \"version\": \"1.0\" }\n }\n}", "options": { "response": { "response": { "fullResponse": true } } } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ 17712, 11888 ], "id": "fd0c6a54-e591-4978-9c42-09ae4c7ff26d", "name": "GetSessionID" }, { "parameters": { "jsCode": "const sessionId = $input.first().json.headers['mcp-session-id']\nreturn [{ json: { sessionId } }];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 17872, 11888 ], "id": "1e623e44-5826-45e7-b559-d5ef73f7e2ce", "name": "ExtractSessionID" }, { "parameters": { "method": "POST", "url": "", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" }, { "name": "Mcp-Session-Id", "value": "={{ $('ExtractSessionID').item.json.sessionId }}" }, { "name": "Accept", "value": "application/json, text/event-stream" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\n \"jsonrpc\": \"2.0\", \"id\": 2,\n \"method\": \"tools/call\",\n \"params\": {\n \"name\": \"load_skills\",\n \"arguments\": { \"request\": {} }\n }\n}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ 18048, 11888 ], "id": "d5152e8c-d271-4d32-8e99-fe35993f70d6", "name": "LoadSkills" }, { "parameters": { "jsCode": "const p = $('Set Parameters').first().json;\nconst tickers = p.tickers;\nconst BATCH_SIZE = 20;\nconst items = [];\nfor (let i = 0; i < tickers.length; i += BATCH_SIZE) {\n const batch = tickers.slice(i, i + BATCH_SIZE);\n items.push({ json: {\n body: JSON.stringify({\n jsonrpc: '2.0',\n id: 3,\n method: 'tools/call',\n params: {\n name: 'screen-tickers',\n arguments: {\n request: {\n tickers: batch,\n use_fmp_screen: p.use_fmp_screen\n }\n }\n }\n })\n }});\n}\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 18240, 11888 ], "id": "b064d74e-bb88-4a13-93ca-4e25cbbf3967", "name": "PrepareScreenBody" }, { "parameters": { "method": "POST", "url": "", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" }, { "name": "Mcp-Session-Id", "value": "={{ $('ExtractSessionID').item.json.sessionId }}" }, { "name": "Accept", "value": "application/json, text/event-stream" } ] }, "sendBody": true, "contentType": "raw", "rawContentType": "application/json", "body": "={{ $json.body }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ 18400, 11888 ], "id": "13db54c9-2101-47de-b741-4b998d9f14b8", "name": "ScreenTickers" }, { "parameters": { "jsCode": "const raw = $input.first().json.data;\nconst match = raw.match(/event: message\\r?\\ndata: (.+?)(?:\\r?\\n|$)/);\nif (!match) throw new Error('No SSE message event found');\nconst parsed = JSON.parse(match[1]);\nlet meta;\nif (parsed.result && parsed.result.structuredContent) {\n meta = parsed.result.structuredContent.result;\n} else if (parsed.result && Array.isArray(parsed.result.content) && parsed.result.content[0]) {\n const text = parsed.result.content[0].text;\n try { meta = JSON.parse(text); } catch(e) { throw new Error('SSE content not JSON: ' + String(text).slice(0, 200)); }\n} else {\n throw new Error('Unexpected SSE structure. Keys: ' + JSON.stringify(parsed.result ? Object.keys(parsed.result) : 'no result'));\n}\nif (!meta || !Array.isArray(meta.results)) {\n throw new Error('Batch stored server-side (too large). Reduce BATCH_SIZE. Keys: ' + JSON.stringify(meta ? Object.keys(meta) : String(meta)));\n}\nreturn [{ json: meta }];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 18592, 11888 ], "id": "7924c984-efb5-44b9-acfd-a7056f02755c", "name": "ParseScreenSSE" }, { "parameters": { "jsCode": "const items = $input.all();\nconst allResults = [];\nlet riskFree = null;\nfor (const item of items) {\n const meta = item.json;\n if (Array.isArray(meta.results)) allResults.push(...meta.results);\n if (riskFree === null && meta.risk_free_rate_pct != null) riskFree = meta.risk_free_rate_pct;\n}\nreturn [{ json: {\n meta: {\n results: allResults,\n count: allResults.length,\n risk_free_rate_pct: riskFree\n }\n}}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 18768, 11888 ], "id": "aa8ef1ec-74fc-4a30-9f42-66c3f621e9a2", "name": "CombineResults" }, { "parameters": { "jsCode": "const meta = $json.meta;\nif (!meta || !Array.isArray(meta.results)) {\n throw new Error('meta.results missing. Keys: ' + JSON.stringify(meta ? Object.keys(meta) : String(meta)));\n}\n\nconst tickers = meta.results;\n\n\n// ── Signal logic ──────────────────────────────────────────────\nfunction getSignal(t) {\n const checks = ['✓ yield','✓ balance','✓ roic','✓ consistency','✓ spread'];\n const score = checks.filter(k => t[k] === '✓').length;\n const spread = t.yield_spread_pct ?? 0;\n\n if (score >= 5) return { label: '🟢 LONG', color: '#1a7a1a', bg: '#eaffea' };\n if (score === 4) return { label: '🟡 WATCH', color: '#7a6a00', bg: '#fffbe6' };\n if (score <= 3 && spread < 0) return { label: '🔴 AVOID', color: '#c0392b', bg: '#fff0f0' };\n return { label: '🟠 NEUTRAL', color: '#a04000', bg: '#fff5ee' };\n}\n\n// ── Columns ───────────────────────────────────────────────────\nconst columns = [\n { key: 'ticker', label: 'Ticker' },\n { key: '_signal', label: 'Signal' },\n { key: 'price', label: 'Price ($)' },\n { key: 'market_cap_B', label: 'Mkt Cap ($B)' },\n { key: 'norm_earnings_yield', label: 'Norm E/Y (%)' },\n { key: 'yield_spread_pct', label: 'Yield Spread (%)' },\n { key: 'roic_pct', label: 'ROIC (%)' },\n { key: 'debt_to_equity', label: 'D/E' },\n { key: 'interest_coverage', label: 'Int. Coverage' },\n { key: 'profitable_years', label: 'Profitable Yrs' },\n { key: '✓ yield', label: 'Yield ✓' },\n { key: '✓ balance', label: 'Balance ✓' },\n { key: '✓ roic', label: 'ROIC ✓' },\n { key: '✓ consistency', label: 'Consistency ✓' },\n { key: '✓ spread', label: 'Spread ✓' },\n];\n\nconst headerRow = columns\n .map(c => `${c.label}`)\n .join('');\n\nconst dataRows = tickers.map((t, i) => {\n const sig = getSignal(t);\n const bg = sig.bg;\n\n const cells = columns.map(c => {\n let val = t[c.key];\n\n if (c.key === '_signal') {\n val = `${sig.label}`;\n } else if (c.key === 'yield_spread_pct') {\n const color = (val ?? 0) >= 0 ? '#1a7a1a' : '#c0392b';\n val = val !== null ? `${val}%` : '—';\n } else if (val === null || val === undefined) {\n val = '—';\n }\n return `${val}`;\n }).join('');\n\n return `${cells}`;\n}).join('');\n\nconst html = `\n\n

EP Ratio Screen — Long/Short Signal

\n

\n Screened: ${meta.count} tickers  | \n Long: ${tickers.filter(t => getSignal(t).label.includes('LONG')).length}  | \n Short/Avoid: ${tickers.filter(t => getSignal(t).label.includes('SHORT')).length}  | \n Date: ${new Date().toISOString().split('T')[0]}  | \n Risk-free: ${meta.risk_free_rate_pct}%\n

\n \n ${headerRow}\n ${dataRows}\n
\n

\n Signal: 🟢 LONG = all 5 checks pass  |  🟡 WATCH = 4 checks  | \n 🔴 AVOID = ≤3 checks + negative yield spread  |  🟠 NEUTRAL = ≤2 checks\n

\n`;\n\nconst tickerResults = tickers.map(t => ({\n ticker: t.ticker,\n signal: getSignal(t).label,\n price: t.price,\n norm_earnings_yield: t.norm_earnings_yield,\n yield_spread_pct: t.yield_spread_pct,\n roic_pct: t.roic_pct\n}));\n\nreturn [{ json: {\n html,\n subject: `EP Ratio Signal — ${new Date().toISOString().split('T')[0]}`,\n ticker_results: tickerResults,\n screened_count: meta.count,\n risk_free_rate_pct: meta.risk_free_rate_pct,\n analysis_date: new Date().toISOString().split('T')[0]\n} }];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 18048, 11392 ], "id": "fc54d21d-8bc1-4e66-86dc-6e3efeb63d9b", "name": "Code in JavaScript" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 3 }, "conditions": [ { "id": "ep-route-trig-cond", "leftValue": "={{ $('Set Parameters').first().json.trigger_source }}", "rightValue": "webhook", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.3, "position": [ 18224, 11392 ], "id": "c8321d73-01ab-4be1-adc7-3f237d734a72", "name": "Route by Trigger" }, { "parameters": { "respondWith": "text", "responseBody": "={{ JSON.stringify({ status: 'success', analysis_date: $json.analysis_date, screened_count: $json.screened_count, risk_free_rate_pct: $json.risk_free_rate_pct, ticker_results: $json.ticker_results }) }}", "options": { "responseHeaders": { "entries": [ { "name": "Content-Type", "value": "application/json" } ] } } }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.5, "position": [ 18448, 11232 ], "id": "3de9231b-9d4f-48f6-b4d3-43677c99bd60", "name": "Respond to Webhook Success" } ], "connections": { "Schedule Trigger": { "main": [ [ { "node": "Code in Python", "type": "main", "index": 0 } ] ] }, "Code in Python": { "main": [ [ { "node": "If", "type": "main", "index": 0 } ] ] }, "If": { "main": [ [ { "node": "Merge Triggers", "type": "main", "index": 0 } ] ] }, "Webhook": { "main": [ [ { "node": "ExtractWebhookBody", "type": "main", "index": 0 } ] ] }, "ExtractWebhookBody": { "main": [ [ { "node": "Webhook Validation", "type": "main", "index": 0 } ] ] }, "Webhook Validation": { "main": [ [ { "node": "Merge Triggers", "type": "main", "index": 1 } ], [ { "node": "Build Error Response", "type": "main", "index": 0 } ] ] }, "Build Error Response": { "main": [ [ { "node": "Respond Error", "type": "main", "index": 0 } ] ] }, "Merge Triggers": { "main": [ [ { "node": "Set Parameters", "type": "main", "index": 0 } ] ] }, "Set Parameters": { "main": [ [ { "node": "GetSessionID", "type": "main", "index": 0 } ] ] }, "GetSessionID": { "main": [ [ { "node": "ExtractSessionID", "type": "main", "index": 0 } ] ] }, "ExtractSessionID": { "main": [ [ { "node": "LoadSkills", "type": "main", "index": 0 } ] ] }, "LoadSkills": { "main": [ [ { "node": "PrepareScreenBody", "type": "main", "index": 0 } ] ] }, "PrepareScreenBody": { "main": [ [ { "node": "ScreenTickers", "type": "main", "index": 0 } ] ] }, "ScreenTickers": { "main": [ [ { "node": "ParseScreenSSE", "type": "main", "index": 0 } ] ] }, "ParseScreenSSE": { "main": [ [ { "node": "CombineResults", "type": "main", "index": 0 } ] ] }, "CombineResults": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] }, "Code in JavaScript": { "main": [ [ { "node": "Route by Trigger", "type": "main", "index": 0 } ] ] }, "Route by Trigger": { "main": [ [ { "node": "Respond to Webhook Success", "type": "main", "index": 0 } ], [] ] } }, "settings": { "executionOrder": "v1", "binaryMode": "separate", "availableInMCP": false }, "nodeGroups": [] }