據 AlphaMoat 統計,截至 2026-09,Intellectia Stock Forecast 1.0.2 累計下載 2,436 次、獲 2 個星標,在全部 5,078 個 AI 技能中排名第 4,155 位,在「專業領域」分類(465 個)中排名第 354 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 70 | 2206 | 1 | - |
| SkillHub ↗ | 147 | 2436 | 2 | — |
各平台的計數口徑不同,統計時間不一致。
每次請求只處理一個標的。結果可能延遲、不完整或錯誤,不構成投資、金融或交易建議,過去表現與模型預測也不能保證未來結果。請求會將標的程式碼傳送到 Intellectia;使用前應確認使用者接受該資料共享,並透過可靠來源複核,不能用於時效性交易決策。 文件示例使用 curl 或 Python 的 requests。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2436 | — | 2 |
| 2026-08 | 2206 | +5.9% | 2 |
| 2026-07 | 2084 | +10.6% | 2 |
| 2026-06 | 1885 | +7.3% | 2 |
| 2026-05 | 1756 | — | 2 |
| 2026-03 | 1527 | — | 1 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: intellectia-stock-forecast
description: 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.
metadata: {"openclaw":{"requires":{"bins":["curl","python3"]},"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]}}
---
# 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 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` |
## 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)
```bash
curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-public?ticker=TSLA&asset_type=0"
```
### Example (Python)
```bash
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:**
```json
{ "asset": { "ticker": "TSLA", "asset_type": 0, "locale": "en" } }
```
- **Returns:** `data.action_type`, `data.conclusion`, catalysts, technical analysis, analyst rating, plus price context.
### Example (cURL)
```bash
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)
```bash
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
| Tool | Purpose |
|---|---|
| `curl` | One-off GET or POST |
| `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 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](https://intellectia.ai/?channelId=601&activityId=1)
## 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.
基於 AkShare 庫取 A 股行情、財務與板塊資料的資料介面技能。
用自然語言查詢東方財富的金融資料,結果落成 Excel 與 Markdown 表格。
協助整理中國專利相關材料、檢索問題和技術說明草稿。
金融資料查詢技能:基於 westock 命令列工具查詢市場結構化資料。
以 Yahoo Finance 資料取報價與基本面,並生成帶技術指標圖表的本地行情分析技能。
按價值投資框架做 A 股與港股估值分析的技能。
查詢 A 股行情、分析分時成交量並管理持倉的指令碼。
盯住自選股的行情與技術指標,觸發條件時按級別推送預警訊息。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。