intellectia-stock-forecastUS 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.
Install via ClawdBot CLI:
clawdbot install xanxustan/intellectia-stock-forecastSingle-symbol forecast (yearly predictions) and "Should I Buy?" analysis from the Intellectia API.
Base URL: https://api.intellectia.ai
This skill covers two endpoints:
GET /gateway/v1/stock/screener-publicPOST /gateway/v1/finance/should-i-buyUse this skill when you want to:
If you want OpenClaw to automatically pick this skill, include:
To force the skill: /skill intellectia-stock-forecast
Copy-ready prompts:
| 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 |
GET /gateway/v1/stock/screener-publicticker (string, required)asset_type (int, required): 0=stock 1=etf 2=cryptodata.list (single object) + data.prediction_2026 … data.prediction_2035curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-public?ticker=TSLA&asset_type=0"
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
POST /gateway/v1/finance/should-i-buyContent-Type: application/json{ "asset": { "ticker": "TSLA", "asset_type": 0, "locale": "en" } }
data.action_type, data.conclusion, catalysts, technical analysis, analyst rating, plus price context.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"}}'
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 | Purpose |
|---|---|
| curl | One-off GET or POST |
| python3 / requests | Scripts; pip install requests |
clawhub install intellectia-stock-forecast
Start a new OpenClaw session, then:
openclaw skills list
openclaw skills info intellectia-stock-forecast
openclaw skills check
Generated Mar 1, 2026
An individual investor wants to evaluate a specific stock like TSLA for potential long-term investment. They use the skill to get yearly price predictions from 2026 to 2035 and a 'Should I Buy?' analysis, which provides a structured rationale including catalysts and analyst ratings to inform their decision-making.
A financial advisor uses this skill to quickly generate detailed forecasts and analysis for client inquiries about specific stocks or cryptocurrencies. It helps them provide data-driven insights, such as target prices and probability calculations, during consultations to enhance client communication and portfolio recommendations.
In a finance or trading course, instructors integrate this skill to demonstrate real-world stock analysis techniques. Students can request forecasts for tickers like AAPL to learn about prediction models, technical ratings, and investment decision frameworks in a hands-on, interactive manner.
A financial blogger or YouTuber uses the skill to gather up-to-date predictions and analysis for creating content on market trends. For example, they might produce articles or videos on 'Why Buy BTC-USD Now?' by leveraging the structured data from the API to support their narratives.
A small startup or angel investor uses this skill to screen potential investment opportunities in publicly traded companies. By analyzing forecasts and 'Should I Buy?' insights for tickers like NVDA, they can prioritize stocks with favorable predictions and catalysts for further due diligence.
Intellectia AI could offer tiered subscription plans for accessing their stock forecast API, with higher tiers providing more frequent updates, additional data points, or priority support. This model generates recurring revenue from individual investors, financial firms, and developers integrating the service.
The skill provides basic forecasts and analysis for free, but charges for advanced features such as real-time data, historical backtesting, or multi-symbol comparisons. This attracts a broad user base while monetizing power users and professionals who need deeper insights.
Intellectia AI licenses its technology to banks, brokerages, or fintech platforms as a white-label solution. These enterprises embed the forecasts and analysis into their own apps or websites, paying licensing fees based on usage or a flat rate, which drives B2B revenue streams.
💬 Integration Tip
Ensure users specify the ticker and asset_type correctly in queries to avoid API errors, and remind them that data may be delayed for informational use only.
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