据 AlphaMoat 统计,截至 2026-09,Stock Forecast 累计下载 4,403 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 2,217 位,在「专业领域」分类(465 个)中排名第 186 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 122 | 3,621 | 3 | - |
| SkillHub ↗ | 541 | 4,403 | 4 | — |
各平台的计数口径不同,统计时间不一致。
对单只股票、ETF 或加密货币拉取年度预测,并调用买入判断接口给出概率、技术评级与买卖理由。请求用 curl 或 Python 脚本发出,依赖 requests 包,正文还给出命中率更高的提问写法。数据仅作参考,源文明确不构成投资建议,也不宜用于对时效敏感的交易。股票代码和请求详情会发送给 Intellectia;只提交获准共享的查询数据。结果可能延迟,不适合时效敏感的交易决策。重要信息应对照权威来源核验,并保留来源注明的非投资建议限制。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,403 | — | 4 |
| 2026-08 | 3,844 | +4.0% | 4 |
| 2026-07 | 3,697 | +18.3% | 4 |
| 2026-06 | 3,124 | -7.2% | 3 |
| 2026-05 | 3,366 | — | 4 |
| 2026-03 | 2,999 | — | 3 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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.
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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。