| name | stock-analysis |
| description | Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments. |
| compatibility | Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one. |
| metadata | {"aisa":{"emoji":"📊","requires":{"bins":["python3"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY","compatibility":"Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one."}} |
Stock & Crypto Analysis — AIsa Edition
Analyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.
Setup
This skill requires an AIsa API key. Set it via plugin configuration or environment variable:
export AISA_API_KEY=your_key_here
export AISA_BASE_URL=https://api.aisa.one/v1
export AISA_MODEL=gpt-4o
Or use the plugin's userConfig values (set automatically when the plugin is enabled).
Usage
Run the analysis script with one or more ticker symbols:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" BTC-USD ETH-USD
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL MSFT GOOGL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --fast
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --output json
Arguments
- Tickers: One or more stock symbols (e.g.,
AAPL, MSFT) or crypto symbols (e.g., BTC-USD, ETH-USD)
--fast: Skip slow analyses (insider trading, detailed news) for faster results--output json: Append a structured JSON summary after the analysis
Multi-Ticker Comparison
When multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:
| Ticker | Score | Signal | Key Strength | Key Risk |
|---|
8-Dimension Scoring (Stocks)
| # | Dimension | Weight |
|---|
| 1 | Earnings Surprise | 30% |
| 2 | Fundamentals (P/E, margins, growth) | 20% |
| 3 | Analyst Sentiment | 20% |
| 4 | Historical Patterns | 10% |
| 5 | Market Context (VIX, SPY/QQQ) | 10% |
| 6 | Sector Performance | 15% |
| 7 | Momentum (RSI, 52w range) | 15% |
| 8 | Sentiment (Fear/Greed, shorts, insiders) | 10% |
3-Dimension Scoring (Crypto)
| # | Dimension | Weight |
|---|
| 1 | Market Cap & Category | 40% |
| 2 | BTC Correlation (30-day) | 30% |
| 3 | Momentum (RSI, range, volume) | 30% |
Risk Flags
Automatically detected: Pre-earnings, Post-spike, Overbought, Risk-Off, Breaking News
Output
Final recommendation includes: Score (0-10), Signal (BUY/HOLD/SELL), Confidence (High/Medium/Low), and Entry / Target / Stop prices.
NOT FINANCIAL ADVICE. For informational purposes only.
