---
name: stock-analysis-464d27dd7ebe
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:
  author: AIsa
  version: 1.0.0
  homepage: https://aisa.one
  repository: https://github.com/baofeng-tech/agent-skills
  tags: stock,aisa
  platforms: agentskills.io,agentskill.sh,github
  primary_env: AISA_API_KEY
allowed-tools: Read Bash Grep
---

# 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:

```bash
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 environment variables (set automatically when the plugin is enabled).

## Usage

Run the analysis script with one or more ticker symbols:

```bash
python3 scripts/analyze_stock.py AAPL
python3 scripts/analyze_stock.py BTC-USD ETH-USD
python3 scripts/analyze_stock.py AAPL MSFT GOOGL
python3 scripts/analyze_stock.py AAPL --fast
python3 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.


---
Source attribution: baofeng-tech
Original project: https://github.com/baofeng-tech/agent-skills/blob/6da0a55a3aa88f283251abe4392be1217ccb7b52/stock-analysis/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: baofeng-tech
Original project: https://github.com/baofeng-tech/agent-skills/blob/6da0a55a3aa88f283251abe4392be1217ccb7b52/stock-analysis/SKILL.md
Attribution basis: Source repository record

Fields of work: Finance & Accounting, Marketing, Sales
Roles: Business Development, Financial Analyst, Marketing Analyst
Specialties: API, Backend, Design, Frontend, Git
Tools: Aisa Api
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 3fcc6258217d0c7c0901950c4f263c7bb6a932ef7262fab27f34c2e81ef0ef42