Stock Forecast

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.

Security Scan

The skill's requirements, examples, and install steps match its stated purpose (calling Intellectia public stock APIs) and do not request unrelated credentials or privileged access.

Purpose & Capability

Name/description describe calling Intellectia forecasting and 'should I buy' endpoints; required binaries (curl, python3) and pip-installed 'requests' are appropriate for that purpose. No unrelated services or credentials are requested.

Instruction Scope

SKILL.md only instructs the agent to call public endpoints on https://api.intellectia.ai using GET/POST (curl or python requests). It does not direct reading system files, other env vars, or transmitting data to unexpected endpoints.

Install Mechanism

Install spec only lists pip install of the well-known 'requests' package. This is a common dependency for the provided Python examples and is proportionate; no downloads from arbitrary URLs or archive extraction are present.

Credentials

No environment variables, credentials, or config paths are required. That aligns with the public API usage described in SKILL.md.

Persistence & Privilege

always is false and the skill does not request permanent/system-wide changes or access to other skills' configuration. Autonomous invocation is allowed (platform default) but not combined with other privileges.

Assessment

This skill appears coherent and only calls Intellectia's public API endpoints using curl or python+requests; it does not ask for credentials. Before installing, consider that queries (tickers and any user text you send) will be transmitted to api.intellectia.ai — if you need to keep queries private or trust only known vendors, avoid installing or verify the provider. Also note the skill's source/homepage is not provided; prefer skills from publishers you trust. The pip step installs the standard 'requests' library (normal for Python clients).

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 <your request>

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_2026 … data.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.