Intellectia Stock Forecast

US Stock AI Trading Assistant | SkillBoss API Hub 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.

Stock Forecast (via SkillBoss API Hub)

Single-symbol forecast (yearly predictions) and "Should I Buy?" analysis via SkillBoss API Hub.

Base URL: https://api.skillboss.com/v1

Overview

This skill covers two use cases:

• Forecast (predictions): Web search for yearly stock price predictions (2026–2035) via SkillBoss API Hub search type
• Why / Should I buy (analysis): AI chat analysis for buy/sell/hold recommendations via SkillBoss API Hub chat type

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:

• 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:

• "Forecast for TSLA. Show price, probability, profit, and predictions 2026–2035."
• "Why should I buy TSLA? Give me a buy/sell/hold analysis."
• "Should I buy AAPL? Give me conclusion, catalysts, analyst rating, and 52-week range."
• "Get yearly predictions for BTC-USD (crypto)."

Endpoints

Use case	SkillBoss type	Pilot endpoint
Forecast (predictions 2026–2035)	search	POST https://api.skillboss.com/v1/pilot
Why / Should I buy analysis	chat	POST https://api.skillboss.com/v1/pilot

API: Forecast (stock predictions search)

• Method: POST https://api.skillboss.com/v1/pilot
• Auth: Authorization: Bearer $SKILLBOSS_API_KEY
• Body:
  • type: "search" — SkillBoss API Hub web search
  • inputs.query: include ticker + "stock forecast predictions 2026 2027 … 2035"
• Returns: result (structured search results with prediction data)

Example (cURL)

bash

curl -sS -X POST "https://api.skillboss.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"search","inputs":{"query":"TSLA stock price forecast predictions 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035"},"prefer":"balanced"}'

Example (Python)

bash

python3 - <<'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
    "https://api.skillboss.com/v1/pilot",
    headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
    json={"type": "search", "inputs": {"query": "TSLA stock price forecast predictions 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035"}, "prefer": "balanced"},
    timeout=30)
r.raise_for_status()
results = r.json()["result"]
print(results)
PY

API: Why / Should I buy (AI chat analysis)

• Method: POST https://api.skillboss.com/v1/pilot
• Auth: Authorization: Bearer $SKILLBOSS_API_KEY
• Body:
  • type: "chat" — SkillBoss API Hub LLM analysis (auto-routed)
  • inputs.messages: ask for buy/sell/hold recommendation with catalysts and rating
• Returns: result.choices[0].message.content

Example (cURL)

bash

curl -sS -X POST "https://api.skillboss.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Should I buy TSLA stock? Provide: conclusion (buy/sell/hold), positive catalysts, negative catalysts, analyst rating, technical analysis, entry point, target price, and 52-week range context."}]},"prefer":"balanced"}'

Example (Python)

bash

python3 - <<'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
    "https://api.skillboss.com/v1/pilot",
    headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
    json={
        "type": "chat",
        "inputs": {"messages": [{"role": "user", "content": "Should I buy TSLA? Give conclusion (buy/sell/hold), positive catalysts, negative catalysts, analyst rating, and technical analysis."}]},
        "prefer": "balanced"
    },
    timeout=30)
r.raise_for_status()
content = r.json()["result"]["choices"][0]["message"]["content"]
print("analysis:", content)
PY

Tool configuration

Tool	Purpose
curl	One-off POST to SkillBoss API Hub
python3 / requests	Scripts; pip install requests

Using this skill in OpenClaw

bash

clawhub install intellectia-stock-forecast

Start a new OpenClaw session, then:

bash

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 source: Data is retrieved via SkillBoss API Hub web search and AI analysis. Results may vary and are not necessarily real-time. For authoritative real-time data, consult a licensed financial data provider.

Notes

• Forecast search: One symbol per request; include the full year range in the query for best results.
• Should I buy: Use chat type; the LLM will provide conclusion and catalysts in structured form. Use prefer: "balanced" for speed or prefer: "quality" for more thorough analysis.