Assistant d'analyse de actions

• •Token Bot Slack ou URL Webhook
• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Clé API OpenAI

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  "name": "Stock Analysis Assistant",
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        "pythonCode": "import pandas as pd\nimport numpy as np\nimport json\n\nbars_by_symbol = items[0]['json']['bars']\nstocks = []\n\nfor symbol, bars in bars_by_symbol.items():\n    closes = [bar['c'] for bar in bars if 'c' in bar]\n    if len(closes) < 30:\n        continue\n\n    df = pd.DataFrame({'close': closes})\n\n    # RSI(14)\n    delta = df['close'].diff()\n    gain = delta.clip(lower=0)\n    loss = -delta.clip(upper=0)\n    avg_gain = gain.rolling(14).mean()\n    avg_loss = loss.rolling(14).mean()\n    rs = avg_gain / avg_loss\n    df['rsi'] = 100 - (100 / (1 + rs))\n\n    # MACD (12,26,9)\n    ema12 = df['close'].ewm(span=12, adjust=False).mean()\n    ema26 = df['close'].ewm(span=26, adjust=False).mean()\n    df['macd'] = ema12 - ema26\n    df['signal'] = df['macd'].ewm(span=9, adjust=False).mean()\n\n    latest = df.iloc[-1]\n    rsi = latest['rsi']\n    macd = latest['macd']\n    signal = latest['signal']\n\n    status = \"Hold\"\n    if rsi < 30 and macd > signal:\n        status = \"Buy\"\n    elif rsi > 70 and macd < signal:\n        status = \"Sell\"\n\n    stocks.append({\n        \"ticker\": symbol,\n        \"rsi\": round(float(rsi), 2),\n        \"macd\": round(float(macd), 2),\n        \"signal\": round(float(signal), 2),\n        \"status\": status\n    })\n\nreturn [{\n    \"json\": {\n        \"summary\": json.dumps({\n            \"stocks\": stocks\n        }, separators=(',', ':')),\n      \"stocks\": stocks\n    }\n}]\n"
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        "content": "# 🧠 Stock Analysis Assistant\n\nThis workflow analyzes selected S&P 500 stocks using RSI and MACD indicators, summarizes the insights into plain English, and posts an update to Slack every hour during U.S. market hours (Mon–Fri)."
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        "content": "## 📅 Schedule Trigger\n\n**Node:** `Schedule Trigger`  \nRuns every hour between 6:30 AM and 2:30 PM (PST), Monday to Friday.  \n**Cron Expression:** `0 30 6-14 * * 1-5`\n\n⏰ Triggers analysis only during U.S. stock market hours."
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        "content": "## 🏛️ Market Status Check\n\n**Node:** `Check Market Status`  \nEndpoint: `https://paper-api.alpaca.markets/v2/clock`\n\nChecks if the market is open using Alpaca’s `/clock` endpoint.\n\n**Node:** `Check if Market is open`  \n- ✅ If true → continue  \n- ❌ If false → exit gracefully via the “Market is Closed” NoOp node"
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        "content": "## 📈 Ticker Setup\n\n**Node:** `Ticker List`  \nSets the stock symbols to be analyzed.\n\n📌 You can update this list to monitor different stocks."
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        "content": "## 🔗 Fetch Stock Data\n\n**Node:** `Fetch Stock Data`  \nCalls Alpaca’s `/v2/stocks/bars` endpoint with:\n- `symbols`: from `Ticker List`\n- `timeframe`: `1Day`\n- `limit`: `1000`\n- `feed`: `iex` (avoid SIP permission error)\n- `start`: 100 days ago\n- `end`: today"
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        "content": "## 🧮 Interpret Data\n\n**Node:** `Interpret Data`  \nPython code calculates:\n- RSI(14)\n- MACD(12,26,9)\n- Decision status: `\"Buy\"`, `\"Hold\"`, or `\"Sell\"`\n\nOutputs:\n- `stocks`: a list of indicator values and status\n- `summary`: JSON string version for GPT"
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        "content": "## 🤖 AI Assistant Summary\n\n**Node:** `Stock Analysis Assistant`  \nUses a custom OpenAI assistant to:\n- Group stocks into categories\n- Provide commentary in plain English\n- Teach users simple market behaviors\n\nPrompt includes:\n- Stock JSON (`summary`)\n- Timestamp (`$now`)\n\n📌 Uses Slack-friendly markdown output."
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        "content": "## 💬 Post to Slack\n\n**Node:** `Send Summary to User(s)`  \nSends the GPT-generated summary to Slack using:\n```js\n{{ $json.output }}\n```\n⚙️ Configured with the appropriate Slack user or channel."
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        "content": "## 🤖 AI Assistant Prompt\n\nYou are a financial assistant writing a quick, readable market update for a general audience. Your job is to help people understand how well-known stocks are behaving — even if they aren’t professional traders.\n\nYou’ll be given:\n\nA list of stocks with technical indicators (e.g., momentum data)\nA timestamp (in RFC 3339 or ISO format) for when the data was pulled.\n📌 Your task:\nGroup the stocks into three categories:\n🟢 Buy Watchlist – Stocks showing signs of recovery or upward momentum\n⚪ Neutral Hold – Stocks with steady or unclear direction\n🔴 Caution / Sell – Stocks that appear overbought or may pull back\nFor each stock:\nWrite a short, plain-language insight about what’s happening\nUse familiar terms like “gaining steam,” “cooling off,” or “showing hesitation”\nAvoid technical jargon like RSI or MACD unless context makes it helpful\nAdd a helpful tip or comment for each stock (e.g.,\n“This pattern often signals hesitation” or\n“This dip might attract bargain hunters”)\nFinish with a summary line using the timestamp like this:\nSummary as of October 2, 2025 – Most stocks were stable with one or two worth watching.\n📦 Respond in Slack Markdown Only:\nExample Format:\n\n*📊 Market Summary (as of October 2, 2025)*\n\n🟢 *Buy Watchlist*  \n• TSLA – Recovering after a dip; gaining steam. This type of rebound often attracts early buyers.\n\n⚪ *Neutral Hold*  \n• AAPL – Holding steady. This often means the market is waiting on new developments.  \n• GOOGL – Moving sideways. A sign of consolidation before potential breakout.  \n• MSFT – Little movement. Could be digesting prior gains.  \n• NVDA – Slight back-and-forth. May indicate indecision in the market.\n\n🔴 *Caution / Sell*  \n• None at this time.\n\n_Summary as of October 2, 2025: Most stocks appear steady. TSLA could be one to watch if momentum holds._\n🚫 Do NOT:\nReturn raw JSON\nUse code blocks unless formatting Slack markdown (no YAML or tags)\nUse technical finance language unless simplified"
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