# intellectia-stock-forecast
Stock Forecast (via SkillBoss API Hub)
Single-symbol forecast (yearly predictions) and "Should I Buy?" analysis via SkillBoss API Hub.
Base URL: https://api.heybossai.com/v1
Overview
This skill covers two use cases:
Forecast (predictions): Web search for yearly stock price predictions (2026โ2035) 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 (2026โ2035)
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
API: Forecast (stock predictions search)
Method: POST https://api.heybossai.com/v1/pilot
Auth: Authorization: Bearer $SKILLBOSS_API_KEY
Body:
type: "search" โ SkillBoss API Hub web search
inputs.query: include ticker + "stock forecast predictions 2026 2027 โฆ 2035"
Returns: result (structured search results with prediction data)
Example (cURL)
curl -sS -X POST "https://api.heybossai.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)
python3 - <<'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
"https://api.heybossai.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.heybossai.com/v1/pilot
Auth: Authorization: Bearer $SKILLBOSS_API_KEY
Body:
type: "chat" โ 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)
curl -sS -X POST "https://api.heybossai.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)
python3 - <<'PY'
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
r = requests.post(
"https://api.heybossai.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
ToolPurposecurlOne-off POST to SkillBoss API Hubpython3 / requestsScripts; 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 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.
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