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BytesAgain β€Ί Skills β€Ί Stock Screener
πŸ¦€ ClawHub

Stock Screener

by @intellectiaai

Get stock screener list data from Intellectia API (no auth) and summarize results.

Versionv1.0.0
Downloads2,604
Installs6
Stars⭐ 1
#security#finance#legal
TERMINAL
clawhub install intellectia-stock-screener

πŸ“– About This Skill

name: intellectia-stock-screener description: Get stock screener list data from Intellectia API (no auth) and summarize results. metadata: {"openclaw":{"requires":{"bins":["curl","python3"]},"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]}}

Intellectia Stock Screener

Base URL: https://api.intellectia.ai

Endpoint

  • GET /gateway/v1/stock/screener-list

    • Full URL:

  • https://api.intellectia.ai/gateway/v1/stock/screener-list

    • Query parameters

  • symbol_type (int): Asset type 0=stock 1=etf 2=crypto
  • period_type (int): Period 0=day 1=week 2=month
  • trend_type (int): Trend 0=bullish 1=bearish
  • profit_asc (bool): Sort by profit ascending (true = small β†’ large)
  • market_cap (int): Market cap filter
    • - 0=any - 1=micro <300M - 2=small 300M-2B - 3=mid 2B-10B - 4=large 10B-200B - 5=mega >200B
  • price (int): Price filter
    • - 0=any - 1=<5 - 2=<50 - 3=>5 - 4=>50 - 5=5-50
  • page (int): Page number (example: 1)
  • size (int): Page size (example: 20)

    • Response (200)

    Example response (shape):

    {
  "ret": 0,
  "msg": "",
  "data": {
    "list": [
      {
        "code": "BKD.N",
        "symbol": "BKD",
        "symbol_type": 0,
        "name": "Brookdale Senior Living Inc",
        "logo": "https://intellectia-public-documents.s3.amazonaws.com/image/logo/BKD_logo.png",
        "pre_close": 14.5,
        "price": 15,
        "change_ratio": 3.45,
        "timestamp": "1769749200",
        "simiar_num": 10,
        "probability": 80,
        "profit": 5.27,
        "klines": [{ "close": 15, "timestamp": "1769749200" }],
        "trend_list": [
          {
            "symbol": "BKD",
            "symbol_type": 0,
            "is_main": true,
            "list": [{ "change_ratio": 5.27, "timestamp": "1730260800", "close": 16 }]
          }
        ],
        "update_time": "1769806800"
      }
    ],
    "total": 3,
    "detail": {
      "cover_url": "https://d159e3ysga2l0q.cloudfront.net/image/cover_image/stock-1.png",
      "name": "Stocks Bullish Tomorrow",
      "screener_type": 1011,
      "params": "{}",
      "desc": "..."
    }
  }
}

    Field reference

    Top-level:

  • ret (int): Status code (typically 0 means success)
  • msg (string): Message (empty string when OK)
  • data (object): Payload

    • data:

  • data.list (array): Result rows
  • data.total (int): Total number of rows
  • data.detail (object): Screener metadata

    • Each item in data.list:

  • code (string): Full instrument code (may include exchange suffix, e.g. BKD.N)
  • symbol (string): Ticker symbol (e.g. BKD)
  • symbol_type (int): Asset type (0=stock 1=etf 2=crypto)
  • name (string): Display name
  • logo (string): Logo URL
  • pre_close (number): Previous close price
  • price (number): Current price
  • change_ratio (number): Percent change vs previous close
  • timestamp (string): Quote timestamp (Unix seconds)
  • simiar_num (int): Similarity count (as returned by API; spelling kept as-is)
  • probability (int): Model confidence (0-100)
  • profit (number): Predicted/expected return (as returned by API)
  • klines (array): Price series
    • - klines[].close (number): Close price - klines[].timestamp (string): Unix seconds
  • trend_list (array): Trend comparison series
    • - trend_list[].symbol (string): Symbol for the series (may be empty for non-main series) - trend_list[].symbol_type (int): Asset type - trend_list[].is_main (bool): Whether this is the main series - trend_list[].list (array): Time points - trend_list[].list[].change_ratio (number): Percent change at that point - trend_list[].list[].timestamp (string): Unix seconds - trend_list[].list[].close (number): Close price at that point
  • update_time (string): Last update time (Unix seconds)

    • data.detail:

  • cover_url (string): Cover image URL
  • name (string): Screener title
  • screener_type (int): Screener type ID
  • params (string): Serialized params (often JSON string)
  • desc (string): Screener description
  • num (int, optional): As returned by API (may be absent)

    • Examples

    cURL

    curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-list?symbol_type=0&period_type=0&trend_type=0&profit_asc=false&market_cap=0&price=0&page=1&size=20"

    Python (requests)

    python3 - <<'PY'
import requests
    base_url = "https://api.intellectia.ai"
params = {
  "symbol_type": 0,
  "period_type": 0,
  "trend_type": 0,
  "profit_asc": False,
  "market_cap": 0,
  "price": 0,
  "page": 1,
  "size": 20,
}
    r = requests.get(f"{base_url}/gateway/v1/stock/screener-list", params=params, timeout=30)
r.raise_for_status()
payload = r.json()
    print("ret:", payload.get("ret"))
print("msg:", payload.get("msg"))
data = payload.get("data") or {}
rows = data.get("list") or []
print("total:", data.get("total"))
for row in rows[:10]:
  print(row.get("symbol"), row.get("price"), row.get("change_ratio"), row.get("probability"), row.get("profit"))
PY

    Notes

  • No authentication required.
  • If you see rate limits, reduce size and add backoff/retry in client code.

    • πŸ’‘ Examples

    cURL

    curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-list?symbol_type=0&period_type=0&trend_type=0&profit_asc=false&market_cap=0&price=0&page=1&size=20"

    Python (requests)

    python3 - <<'PY'
import requests
    base_url = "https://api.intellectia.ai"
params = {
  "symbol_type": 0,
  "period_type": 0,
  "trend_type": 0,
  "profit_asc": False,
  "market_cap": 0,
  "price": 0,
  "page": 1,
  "size": 20,
}
    r = requests.get(f"{base_url}/gateway/v1/stock/screener-list", params=params, timeout=30)
r.raise_for_status()
payload = r.json()
    print("ret:", payload.get("ret"))
print("msg:", payload.get("msg"))
data = payload.get("data") or {}
rows = data.get("list") or []
print("total:", data.get("total"))
for row in rows[:10]:
  print(row.get("symbol"), row.get("price"), row.get("change_ratio"), row.get("probability"), row.get("profit"))
PY

    πŸ“‹ Tips & Best Practices

  • No authentication required.
  • If you see rate limits, reduce size and add backoff/retry in client code.