Renixaus

Intellectia Stock Forecast 1.0.2

專業領域v1.0.0
作者:Renixaus更新於 2026-05-11intellectia-stock-forecast-1-0-2@clawhub_renixaus/intellectia-stock-forecast-1-0-2
金融分析#Stock#Investment#Trading

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。

累計安裝
147
累計下載
2436
星標
2
全站排名
#4,155
全站前 82% · 「專業領域」前 77%
平台累計安裝累計下載星標評論
ClawHub ↗7022061-
SkillHub ↗14724362—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

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

可以用來做什麼

  • 查詢單個標的的預測資料與價格背景
  • 獲取指定程式碼的買入理由、結論和催化因素
  • 比較分析結果中的資料時效與侷限

什麼時候用

  • 使用者接受向 Intellectia 傳送指定標的程式碼時
  • 僅將輸出用於資訊研究並能獨立核驗時
  • 不依據可能延遲的資料進行時效性交易時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

只讀查詢一個指定標的的預測資料,並說明資料可能延遲且不構成投資建議;不要給出買賣指令或執行交易。

月度資料趨勢

累計下載2436
1454198225092026-03 · 累計下載 15272026-05 · 累計下載 17562026-06 · 累計下載 18852026-07 · 累計下載 20842026-08 · 累計下載 22062026-09 · 累計下載 243626-0326-09
星標2
1222026-03 · 星標 12026-05 · 星標 22026-06 · 星標 22026-07 · 星標 22026-08 · 星標 22026-09 · 星標 226-0326-09

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
2026-092436—2
2026-082206+5.9%2
2026-072084+10.6%2
2026-061885+7.3%2
2026-051756—2
2026-031527—1

SKILL.md 原文

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。

5.0 KB · ClawHub v1.0.0
---
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.
展開全部(共 145 行)
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.

「專業領域」分類下的熱門技能

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。