Stock Analysis

Name: Stock Analysis
Rating: 37 (1 reviews)
Author: udiedrichsen

高风险

作者：udiedrichsen | 审计时间：2026-02-26T09:59:20.936Z | 规则集：0.2.0

快速安装

将技能安装到你的 Agent

clawhub install stock-analysis

GitHub ClawHub

技能介绍

✨ 🔮 Rumor Scanner — Early signals before mainstream news

✨ 🎯 Impact Scoring — Rumors ranked by potential market impact

✨ 🔥 Hot Scanner — Find viral stocks & crypto across multiple sources

✨ 🐦 Twitter/X Integration — Social sentiment via bird CLI

✨ 📰 Multi-Source Aggregation — CoinGecko, Google News, Yahoo Finance

✨ ⏰ Cron Support — Daily trend reports

✨ 🆕 Watchlist + Alerts — Price targets, stop losses, signal changes

✨ 🆕 Dividend Analysis — Yield, payout ratio, growth, safety score

使用场景

1 ⚠️ Pre-Earnings — Warns if < 14 days to earnings

2 ⚠️ Post-Spike — Flags if up >15% in 5 days

文档（原文）

来源：README.md

以下为作者原文（通常为英文）。安装请以页面顶部“快速安装”为准。

📈 Stock Analysis v6.1

AI-powered stock & crypto analysis with portfolio management, watchlists, dividend analysis, and viral trend detection.

What's New in v6.1

🔥 Hot Scanner — Find viral stocks & crypto across multiple sources
🐦 Twitter/X Integration — Social sentiment via bird CLI
📰 Multi-Source Aggregation — CoinGecko, Google News, Yahoo Finance
⏰ Cron Support — Daily trend reports

What's New in v6.0

🆕 Watchlist + Alerts — Price targets, stop losses, signal change notifications
🆕 Dividend Analysis — Yield, payout ratio, growth rate, safety score
🆕 Fast Mode — Skip slow analyses for quick checks
🆕 Improved Commands — Better OpenClaw/Telegram integration
🆕 Test Suite — Unit tests for core functionality

Features

Feature	Description
8-Dimension Analysis	Earnings, fundamentals, analysts, momentum, sentiment, sector, market, history
Crypto Support	Top 20 cryptos with market cap, BTC correlation, momentum
Portfolio Management	Track holdings, P&L, concentration warnings
Watchlist + Alerts	Price targets, stop losses, signal changes
Dividend Analysis	Yield, payout, growth, safety score
Risk Detection	Geopolitical, earnings timing, overbought, risk-off
Breaking News	Crisis keyword scanning (last 24h)

Quick Start

Analyze Stocks

uv run scripts/analyze_stock.py AAPL
uv run scripts/analyze_stock.py AAPL MSFT GOOGL
uv run scripts/analyze_stock.py AAPL --fast  # Skip slow analyses

Analyze Crypto

uv run scripts/analyze_stock.py BTC-USD
uv run scripts/analyze_stock.py ETH-USD SOL-USD

Dividend Analysis

uv run scripts/dividends.py JNJ PG KO

Watchlist

uv run scripts/watchlist.py add AAPL --target 200 --stop 150
uv run scripts/watchlist.py list
uv run scripts/watchlist.py check --notify

Portfolio

uv run scripts/portfolio.py create "My Portfolio"
uv run scripts/portfolio.py add AAPL --quantity 100 --cost 150
uv run scripts/portfolio.py show

🔥 Hot Scanner (NEW)

# Full scan with all sources
python3 scripts/hot_scanner.py

# Fast scan (skip social media)
python3 scripts/hot_scanner.py --no-social

# JSON output for automation
python3 scripts/hot_scanner.py --json

Analysis Dimensions

Stocks (8 dimensions)

Earnings Surprise (30%) — EPS beat/miss
Fundamentals (20%) — P/E, margins, growth, debt
Analyst Sentiment (20%) — Ratings, price targets
Historical Patterns (10%) — Past earnings reactions
Market Context (10%) — VIX, SPY/QQQ trends
Sector Performance (15%) — Relative strength
Momentum (15%) — RSI, 52-week range
Sentiment (10%) — Fear/Greed, shorts, insiders

Crypto (3 dimensions)

Market Cap & Category
BTC Correlation (30-day)
Momentum (RSI, range)

Dividend Metrics

Metric	Description
Yield	Annual dividend / price
Payout Ratio	Dividend / EPS
5Y Growth	CAGR of dividend
Consecutive Years	Years of increases
Safety Score	0-100 composite
Income Rating	Excellent → Poor

🔥 Hot Scanner

Find what's trending RIGHT NOW across stocks & crypto.

Data Sources

Source	What it finds
CoinGecko Trending	Top 15 trending coins
CoinGecko Movers	Biggest gainers/losers (>3%)
Google News	Breaking finance & crypto news
Yahoo Finance	Top gainers, losers, most active
Twitter/X	Social sentiment (requires auth)

Output

📊 TOP TRENDING (by buzz):
   1. BTC      (6 pts) [CoinGecko, Google News] 📉 bearish (-2.5%)
   2. ETH      (5 pts) [CoinGecko, Twitter] 📉 bearish (-7.2%)
   3. NVDA     (3 pts) [Google News, Yahoo] 📰 Earnings beat...

🪙 CRYPTO HIGHLIGHTS:
   🚀 RIVER    River              +14.0%
   📉 BTC      Bitcoin             -2.5%

📈 STOCK MOVERS:
   🟢 NVDA (gainers)
   🔴 TSLA (losers)

📰 BREAKING NEWS:
   [BTC, ETH] Crypto crash: $2.5B liquidated...

Twitter/X Setup (Optional)

Install bird CLI: npm install -g @steipete/bird
Login to x.com in Safari/Chrome
Create .env file:

AUTH_TOKEN=your_auth_token
CT0=your_ct0_token

Get tokens from browser DevTools → Application → Cookies → x.com

Automation

Set up a daily cron job for morning reports:

# Run at 8 AM daily
0 8 * * * python3 /path/to/hot_scanner.py --no-social >> /var/log/hot_scanner.log

Risk Detection

⚠️ Pre-earnings warning (< 14 days)
⚠️ Post-earnings spike (> 15% in 5 days)
⚠️ Overbought (RSI > 70 + near 52w high)
⚠️ Risk-off mode (GLD/TLT/UUP rising)
⚠️ Geopolitical keywords (Taiwan, China, etc.)
⚠️ Breaking news alerts

Performance Options

Flag	Speed	Description
(default)	5-10s	Full analysis
`--no-insider`	3-5s	Skip SEC EDGAR
`--fast`	2-3s	Skip insider + news

Data Sources

Yahoo Finance — Prices, fundamentals, movers
CoinGecko — Crypto trending, market data
CNN Fear & Greed — Sentiment
SEC EDGAR — Insider trading
Google News RSS — Breaking news
Twitter/X — Social sentiment (via bird CLI)

Storage

Data	Location
Portfolios	`~/.clawdbot/skills/stock-analysis/portfolios.json`
Watchlist	`~/.clawdbot/skills/stock-analysis/watchlist.json`

Testing

uv run pytest scripts/test_stock_analysis.py -v

Limitations

Yahoo Finance may lag 15-20 minutes
Short interest lags ~2 weeks (FINRA)
US markets only

Disclaimer

⚠️ NOT FINANCIAL ADVICE. For informational purposes only. Consult a licensed financial advisor before making investment decisions.

Built for OpenClaw 🦞 | ClawHub

安全审计

高风险

摘要

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.

风险画像

打开 GitHub 仓库根目录 ClawHub 报告 / 申诉

ToxicSkills 分析

黑名单

未命中

提示词注入

未检测到

Toxic 标签

exfiltrationcredential-accessmalware

当前静态检测未发现 Toxic 信号。

关键风险 0 项

暂无 LLM 风险要点（LLM 未启用或无缓存）。

确定性发现（证据）

规则	严重性	文件	片段
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 8	import urllib.request
SENSITIVE_ENV	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 30	os.environ[key] = value
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 60	req = urllib.request.Request(url, headers=self.headers)
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 61	with urllib.request.urlopen(req, timeout=timeout, context=SSL_CONTEXT) as resp:
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 288	req = urllib.request.Request(url, headers=headers)
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 290	with urllib.request.urlopen(req, timeout=15, context=SSL_CONTEXT) as resp:
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 328	req = urllib.request.Request(url, headers=headers)
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 330	with urllib.request.urlopen(req, timeout=15, context=SSL_CONTEXT) as resp:
SENSITIVE_ENV	中	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 387	env = os.environ.copy()
PROC_EXEC	高	skills/udiedrichsen/stock-analysis/scripts/hot_scanner.py 行 388	result = subprocess.run(
SENSITIVE_ENV	中	skills/udiedrichsen/stock-analysis/scripts/portfolio.py 行 45	state_dir = os.environ.get("CLAWDBOT_STATE_DIR", os.path.expanduser("~/.clawdbot"))
NET_HTTP_REQUEST	中	skills/udiedrichsen/stock-analysis/scripts/rumor_scanner.py 行 21	from urllib.request import urlopen, Request
SENSITIVE_ENV	中	skills/udiedrichsen/stock-analysis/scripts/rumor_scanner.py 行 38	os.environ[key.strip()] = value.strip().strip('"').strip("'")
SENSITIVE_ENV	中	skills/udiedrichsen/stock-analysis/scripts/rumor_scanner.py 行 79	env = os.environ.copy()
PROC_EXEC	高	skills/udiedrichsen/stock-analysis/scripts/rumor_scanner.py 行 81	result = subprocess.run(cmd, capture_output=True, text=True, timeout=30, env=env)
SENSITIVE_ENV	中	skills/udiedrichsen/stock-analysis/scripts/rumor_scanner.py 行 132	env = os.environ.copy()
PROC_EXEC	高	skills/udiedrichsen/stock-analysis/scripts/rumor_scanner.py 行 134	result = subprocess.run(cmd, capture_output=True, text=True, timeout=30, env=env)
PROC_EXEC	高	skills/udiedrichsen/stock-analysis/scripts/watchlist.py 行 246	result = subprocess.run(
QUALITY_README_PRESENT	低	README 行无	README detected

评分标准

每个技能从 5 个维度评分，加权总分决定星级。

代码毒性 12/100 (权重 30%)

隐私风险 0/100 (权重 25%)

权限范围 70/100 (权重 20%)

作者声誉 75/100 (权重 15%)

代码质量 78/100 (权重 10%)

星级说明

5★ 安全 — 总分 ≥ 80

4★ 良好 — 总分 70–79

3★ 注意 — 总分 60–69

2★ 有风险 — 总分 40–59

1★ 危险 — 总分 < 40

为何是这个评分？

以下维度评分低于 60 分，拉低了整体评级：

代码毒性: 12/100
隐私风险: 0/100

Stock Analysis

快速安装

技能介绍

使用场景

文档（原文）

📈 Stock Analysis v6.1

What's New in v6.1

What's New in v6.0

Features

Quick Start

Analyze Stocks

Analyze Crypto

Dividend Analysis

Watchlist

Portfolio

🔥 Hot Scanner (NEW)

Analysis Dimensions

Stocks (8 dimensions)

Crypto (3 dimensions)

Dividend Metrics

🔥 Hot Scanner

Data Sources

Output

Twitter/X Setup (Optional)

Automation

Risk Detection

Performance Options

Data Sources

Storage

Testing

Limitations

Disclaimer

安全审计

摘要

ToxicSkills 分析

Toxic 标签

关键风险 0 项

确定性发现（证据）

评分标准

星级说明

为何是这个评分？

更多技能