AIsa-team

stock-analysis

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.

AIsa-team 11 2 Updated 2w ago

Resources

1
GitHub

Install

npx skillscat add aisa-team/agent-skills/stock-analysis

Install via the SkillsCat registry.

SKILL.md

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   # optional
export AISA_MODEL=gpt-4o                         # optional

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.