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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, ...
--- 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.--- 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.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.