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BytesAgain › Skills › stock screener
🦀 ClawHub

stock screener

by @xanxustan

Intellectia stock/crypto screener for Bullish/Bearish Tomorrow/Week/Month presets. Calls /gateway/v1/stock/screener-list (no auth) and summarizes results.

Versionv1.0.0
Downloads2,189
Installs2
Stars⭐ 1
#crypto-defi#security#finance#legal
TERMINAL
clawhub install ai-screener

📖 About This Skill

name: intellectia-stock-screener description: Intellectia stock/crypto screener for Bullish/Bearish Tomorrow/Week/Month presets. Calls /gateway/v1/stock/screener-list (no auth) and summarizes results. metadata: {"openclaw":{"requires":{"bins":["curl","python3"]},"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]}}

Intellectia Stock Screener

Fetch and summarize Intellectia “Screener List” results for stock/crypto screening.

When to use this skill

Use this skill when you want to:

  • Get the latest bullish/bearish screener candidates for stocks or crypto
  • Use the built-in preset pick-lists (below) as your “stock/crypto picking tools”
  • Convert a preset into exact API query parameters (symbol_type, period_type, trend_type)
  • Summarize/compare results using probability, profit, price, change_ratio, klines, and trend_list

    • Presets (UI list mapping)

    Pick one preset name and run it (this is the easiest way to use the skill):

    | Preset (UI name) | symbol_type | period_type | trend_type | |---|---:|---:|---:| | Stocks Bullish Tomorrow | 0 | 0 | 0 | | Stocks Bearish Tomorrow | 0 | 0 | 1 | | Stocks Bullish for a Week | 0 | 1 | 0 | | Stocks Bearish for a Week | 0 | 1 | 1 | | Stocks Bullish for a Month | 0 | 2 | 0 | | Stocks Bearish for a Month | 0 | 2 | 1 | | Cryptos Bullish Tomorrow | 2 | 0 | 0 | | Cryptos Bearish Tomorrow | 2 | 0 | 1 | | Cryptos Bullish for a Week | 2 | 1 | 0 | | Cryptos Bearish for a Week | 2 | 1 | 1 | | Cryptos Bullish for a Month | 2 | 2 | 0 | | Cryptos Bearish for a Month | 2 | 2 | 1 |

    Preset descriptions (copy-ready)

  • Stocks Bullish Tomorrow: This list highlights stocks expected to rise, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue an uptrend, based on similarity to proven bullish patterns.
  • Stocks Bearish Tomorrow: This list highlights stocks expected to fall, identified by our AI algorithm. It analyzes market-wide price data to spot those most likely to continue a downtrend, based on similarity to proven bearish patterns.

    • How to ask (high hit-rate)

    If you want OpenClaw to automatically pick this skill, include:

  • The word Intellectia or screener (or “bullish/bearish”, “stock screener”, “crypto screener”)
  • One preset name from the table above (recommended)
  • Your output requirements (top N, sort, fields)

    • If you want to force it, use:

  • /skill intellectia-stock-screener

    • Copy-ready prompts:

  • “Intellectia screener: Stocks Bullish Tomorrow. Top 10 by probability desc. Output: symbol,name,price,change_ratio,probability,profit.”
  • “Intellectia screener: Stocks Bearish for a Week. Explain what probability and profit mean, then return a table.”
  • “Intellectia screener: Cryptos Bullish for a Month. Page 1 size 50. Filter probability >= 70.”
  • “Call Intellectia /gateway/v1/stock/screener-list with symbol_type=0 period_type=0 trend_type=0 page=1 size=20 and return raw JSON.”

    • Tool configuration

    | Tool | Purpose | Configuration | |---|---|---| | curl | Quick one-off requests | Use the full URL + query string | | python3 | Repeatable scripts | Use requests and parse data.list | | requests | HTTP client library | pip install requests |

    Using this skill in OpenClaw

    Install into the current workspace:

    clawhub install intellectia-stock-screener

    Start a new OpenClaw session so the agent picks it up (skills are snapshotted at session start).

    Verify it is visible/eligible:

    openclaw skills list
openclaw skills info intellectia-stock-screener
openclaw skills check

    Endpoint

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

    • Query parameters

    | Name | Type | Meaning | |---|---|---| | 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 → 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.

    • 💡 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

    📋 Tips & Best Practices

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