据 AlphaMoat 统计,截至 2026-09,Stock Tech Analysis 累计下载 4,492 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 2,148 位,在「专业领域」分类(465 个)中排名第 181 位。

累计安装

131

累计下载

4,492

星标

全站排名

#2,148

全站前 43% · 「专业领域」前 39%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	131	3,973	-	-
SkillHub ↗	129	4,492	-	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

股票（腾讯、小米、特斯拉、英伟达等）简易技术分析。计算移动平均线（SMA20、SMA50）、RSI（14日）及20日价格位置...

月度数据趋势

累计下载4,492

星标-

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	4,492	—	-
2026-08	4,108	+9.1%	-
2026-07	3,767	+10.4%	-
2026-06	3,411	+5.4%	-
2026-05	3,236	—	-
2026-03	2,246	—	-

SKILL.md 原文

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。

1.5 KB · ClawHub v0.1.0

---
name: stock-tech-analysis
description: Simple technical analysis for stocks (Tencent, Xiaomi, Tesla, NVIDIA, etc.). Calculates moving averages (SMA20, SMA50), RSI (14-day), price position in 20-day range, and provides buy/hold/sell signals based on technical indicators. No external dependencies required - uses only Python standard library + Yahoo Finance data.
---

# Stock Technical Analysis

Simple technical analysis for stocks using Yahoo Finance data.

## What it does

展开全部(共 57 行)


Calculates:
- **SMA20**: 20-day simple moving average
- **SMA50**: 50-day simple moving average
- **RSI (14-day)**: Relative Strength Index
- **20-day range**: High/low position
- **Buy/Hold/Sell signals** based on technical indicators

## Quick Start

Analyze a single stock:

```bash
python3 scripts/analyze_stocks.py
```

Or analyze specific tickers:

```bash
python3 scripts/analyze_stocks.py 0700.HK 1810.HK TSLA NVDA
```

## Supported Tickers

- **0700.HK**: Tencent Holdings
- **1810.HK**: Xiaomi Group
- **TSLA**: Tesla
- **NVDA**: NVIDIA
- Any other Yahoo Finance ticker

## Analysis Output

Each stock gets:
- Current price & change
- Moving average analysis (price vs SMA20, SMA20 vs SMA50)
- 20-day range position (0% = low, 100% = high)
- RSI (14-day) with overbought/oversold warnings
- Summary signal (Bullish/Bearish/Neutral)

## No Dependencies

Uses only Python standard library + Yahoo Finance public API (no extra packages needed).

## Disclaimer

This is for educational purposes only. Not financial advice. Always do your own research.