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Intellectia Stock Forecast 1.0.2

by @renixaus

US Stock AI Trading Assistant | Intellectia AI Stock Forecast — Smart analysis of stock entry/exit points, target price predictions, probability calculations, and technical ratings. Supports "Should I Buy" investment decision Q&A.

Versionv1.0.0
Downloads1,763
Installs2
Stars1
TERMINAL
clawhub install intellectia-stock-forecast-1-0-2

📖 About This Skill


name: intellectia-stock-forecast description: US Stock AI Trading Assistant | Intellectia AI Stock Forecast — Smart analysis of stock entry/exit points, target price predictions, probability calculations, and technical ratings. Supports "Should I Buy" investment decision Q&A. metadata: {"openclaw":{"requires":{"bins":["curl","python3"]},"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]}}

Intellectia Stock Forecast

Single-symbol forecast (yearly predictions) and "Should I Buy?" analysis from the Intellectia API.

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

Overview

This skill covers two endpoints:

  • Forecast (predictions): GET /gateway/v1/stock/screener-public
  • Why / Should I buy (analysis): POST /gateway/v1/finance/should-i-buy
  • When to use this skill

    Use this skill when you want to:

  • Get one stock/crypto quote + yearly predictions (2026–2035)
  • Answer why / should I buy for a specific ticker with a structured rationale
  • How to ask (high hit-rate)

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

  • Intellectia
  • The ticker (e.g. TSLA / AAPL / BTC-USD)
  • Either forecast / prediction (for predictions) or why / should I buy (for analysis)
  • To force the skill: /skill intellectia-stock-forecast

    Copy-ready prompts:

  • "Intellectia forecast for TSLA. Show price, probability, profit, and predictions 2026–2035."
  • "Why should I buy TSLA? Use Intellectia Should I Buy."
  • "Should I buy AAPL? Give me conclusion, catalysts, analyst rating, and 52-week range."
  • "Get Intellectia yearly predictions for BTC-USD (asset_type 2)."
  • Endpoints

    | Use case | Method | Path | |---|---|---| | Forecast (predictions 2026–2035) | GET | /gateway/v1/stock/screener-public | | Why / Should I buy analysis | POST | /gateway/v1/finance/should-i-buy |

    API: Forecast (screener-public)

  • Method: GET /gateway/v1/stock/screener-public
  • Query parameters:
  • - ticker (string, required) - asset_type (int, required): 0=stock 1=etf 2=crypto
  • Returns: data.list (single object) + data.prediction_2026data.prediction_2035
  • Example (cURL)

    curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-public?ticker=TSLA&asset_type=0"
    

    Example (Python)

    python3 - <<'PY'
    import requests
    r = requests.get("https://api.intellectia.ai/gateway/v1/stock/screener-public", params={"ticker": "TSLA", "asset_type": 0}, timeout=30)
    r.raise_for_status()
    data = r.json().get("data") or {}
    obj = data.get("list") or {}
    print("symbol:", obj.get("symbol"), "price:", obj.get("price"))
    for y in range(2026, 2036):
        k = f"prediction_{y}"
        if k in data: print(k, data[k])
    PY
    

    API: Why / Should I buy (should-i-buy)

  • Method: POST /gateway/v1/finance/should-i-buy
  • Headers: Content-Type: application/json
  • Body:
  • { "asset": { "ticker": "TSLA", "asset_type": 0, "locale": "en" } }
    

  • Returns: data.action_type, data.conclusion, catalysts, technical analysis, analyst rating, plus price context.
  • Example (cURL)

    curl -sS -X POST "https://api.intellectia.ai/gateway/v1/finance/should-i-buy" \
      -H "Content-Type: application/json" \
      -d '{"asset":{"ticker":"TSLA","asset_type":0,"locale":"en"}}'
    

    Example (Python)

    python3 - <<'PY'
    import requests
    r = requests.post("https://api.intellectia.ai/gateway/v1/finance/should-i-buy",
      json={"asset": {"ticker": "TSLA", "asset_type": 0, "locale": "en"}}, timeout=30)
    r.raise_for_status()
    d = r.json().get("data") or {}
    print("conclusion:", d.get("conclusion"))
    print("action_type:", d.get("action_type"))
    print("positive_catalysts:", d.get("postive_catalysts"))
    print("negative_catalysts:", d.get("negative_catalysts"))
    PY
    

    Tool configuration

    | Tool | Purpose | |---|---| | curl | One-off GET or POST | | python3 / requests | Scripts; pip install requests |

    Using this skill in OpenClaw

    clawhub install intellectia-stock-forecast
    

    Start a new OpenClaw session, then:

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

    Disclaimer and data

  • Disclaimer: The data and analysis from this skill are for informational purposes only and do not constitute financial, investment, or trading advice. Past performance and model predictions are not guarantees of future results. You are solely responsible for your investment decisions; consult a qualified professional before making financial decisions.
  • Data delay: Data provided by the API (prices, predictions, analysis) may be delayed and is not necessarily real-time. Do not rely on it for time-sensitive trading decisions.
  • Real-time data: For real-time or live data, visit Intellectia
  • Notes

  • screener-public: one symbol per request.
  • should-i-buy: use when the user asks "why" / "should I buy" for a symbol; use conclusion and catalysts in your answer.
  • 📋 Tips & Best Practices

  • screener-public: one symbol per request.
  • should-i-buy: use when the user asks "why" / "should I buy" for a symbol; use conclusion and catalysts in your answer.