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Intellectia Stock Forecast 1.0.2

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.

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High Signal

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.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

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 caseMethodPathForecast (predictions 2026–2035)GET/gateway/v1/stock/screener-publicWhy / Should I buy analysisPOST/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

ToolPurposecurlOne-off GET or POSTpython3 / 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 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.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc