Stock Forecast
v1US Stock AI Trading 助手 | Intellectia AI Stock Forecast — Smart analysis of stock entry/exit points, tar获取 price predictions, probability calculations, and technical ratings. Supports "Should I Buy" investment decision Q&A.
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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 技能 covers two 端点s:
Forecast (predictions): 获取 /gateway/v1/stock/screener-public Why / Should I buy (analysis): POST /gateway/v1/finance/should-i-buy When to use this 技能
Use this 技能 when you want to:
获取 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 技能, 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 技能: /技能 intellectia-stock-forecast
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." "获取 Intellectia yearly predictions for BTC-USD (as设置_type 2)." 端点s Use case Method Path Forecast (predictions 2026–2035) 获取 /gateway/v1/stock/screener-public Why / Should I buy analysis POST /gateway/v1/finance/should-i-buy API: Forecast (screener-public) Method: 获取 /gateway/v1/stock/screener-public 查询 parameters: ticker (string, required) as设置_type (int, required): 0=stock 1=etf 2=crypto Returns: data.列出 (single object) + data.prediction_2026 … data.prediction_2035 Example (cURL) curl -sS "https://API.intellectia.AI/gateway/v1/stock/screener-public?ticker=TSLA&as设置_type=0"
Example (Python) python3 - <<'PY' 导入 请求s r = 请求s.获取("https://API.intellectia.AI/gateway/v1/stock/screener-public", params={"ticker": "TSLA", "as设置_type": 0}, timeout=30) r.rAIse_for_状态() data = r.json().获取("data") or {} obj = data.获取("列出") or {} print("symbol:", obj.获取("symbol"), "price:", obj.获取("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: 应用/json Body: { "as设置": { "ticker": "TSLA", "as设置_type": 0, "locale": "en" } }
Returns: data.action_type, data.conclusion, catalysts, technical analysis, analyst rating, plus price 上下文. Example (cURL) curl -sS -X POST "https://API.intellectia.AI/gateway/v1/finance/should-i-buy" \ -H "Content-Type: 应用/json" \ -d '{"as设置":{"ticker":"TSLA","as设置_type":0,"locale":"en"}}'
Example (Python) python3 - <<'PY' 导入 请求s r = 请求s.post("https://API.intellectia.AI/gateway/v1/finance/should-i-buy", json={"as设置": {"ticker": "TSLA", "as设置_type": 0, "locale": "en"}}, timeout=30) r.rAIse_for_状态() d = r.json().获取("data") or {} print("conclusion:", d.获取("conclusion")) print("action_type:", d.获取("action_type")) print("positive_catalysts:", d.获取("postive_catalysts")) print("negative_catalysts:", d.获取("negative_catalysts")) PY
工具 configuration 工具 Purpose curl One-off 获取 or POST python3 / 请求s Scripts; pip 安装 请求s Using this 技能 in OpenClaw ClawHub 安装 intellectia-stock-forecast
启动 a new OpenClaw 会话, then:
OpenClaw 技能s 列出 OpenClaw 技能s 信息 intellectia-stock-forecast OpenClaw 技能s 检查
DisclAImer and data DisclAImer: The data and analysis from this 技能 are for in格式化ional purposes only and do not constitute financial, investment, or trading advice. Past performance and 模型 predictions are not guarantees of future 结果s. 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 请求. should-i-buy: use when the user asks "why" / "should I buy" for a symbol; use conclusion and catalysts in your answer.