Overview
- Skill Key
- baoduy/drunk-trading-analyzer
- Author
- baoduy
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/baoduy/drunk-trading-analyzer
- Latest Commit SHA
- 0f3aeb41910d81d94417a6592f024776b7a19f45
Multi-source trading analyzer (`/drunk-trading-analyzer`) combining crypto data (TradingView), stock data (Alpha Vantage), and market intelligence (Yahoo Finance) into unified analysis reports with price trends, technical indicators, and sentiment analysis.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 trading-analyzer 技能。 若已安装,则直接安装 trading-analyzer 技能。
# Trading Analyzer Skill Multi-source market analysis combining cryptocurrency and stock data with AI-powered insights. ## Quick Start ### Analyze Cryptocurrency ```bash # List available TradingView tools mcporter list tradingview-mcp # Analyze a specific coin mcporter call tradingview-mcp.coin_analysis symbol=BTCUSDT exchange=BINANCE timeframe=15m # Find bullish coins mcporter call tradingview-mcp.top_gainers exchange=BINANCE timeframe=4h limit=25 # Detect volume breakouts mcporter call tradingview-mcp.volume_breakout_scanner exchange=KUCOIN timeframe=15m volume_multiplier=2.0 ``` ### Analyze Stock ```bash # List available Alpha Vantage and Yahoo Finance tools mcporter list alphavantage mcporter list yahoo-finance-server # Get company fundamentals mcporter call alphavantage.get_ticker_info symbol=AAPL # Fetch latest news mcporter call yahoo-finance-server.get_ticker_news symbol=AAPL count=10 # Get stock price history mcporter call alphavantage.get_price_history symbol=AAPL period=1y interval=1d # Get earnings data mcporter call alphavantage.ticker_earning symbol=AAPL period=quarterly ``` ## Common Use Cases ### 1. Quick Crypto Analysis ```bash # 1. Get immediate technical overview mcporter call tradingview-mcp.coin_analysis symbol=BTCUSDT # 2. Identify breakout opportunities mcporter call tradingview-mcp.smart_volume_scanner \ exchange=BINANCE min_volume_ratio=2.0 min_price_change=2.0 # 3. Find bullish signals mcporter call tradingview-mcp.top_gainers exchange=BINANCE timeframe=4h ``` ### 2. Fundamental Stock Research ```bash # 1. Get company metrics mcporter call alphavantage.get_ticker_info symbol=TSLA # 2. Get sentiment from latest news mcporter call yahoo-finance-server.get_ticker_news symbol=TSLA count=5 # 3. Confirm trend with historical data mcporter call alphavantage.get_price_history symbol=TSLA period=1y interval=1d ``` ### 3. Market Screening Use crypto screeners to identify opportunities: ```bash # Top performers mcporter call...
# Trading Analyzer Skill A comprehensive multi-source trading analysis tool that combines cryptocurrency, stock, and market intelligence data into unified analysis reports with price trends, technical indicators, and sentiment analysis. ## Features - **Cryptocurrency Analysis**: Real-time TradingView data with technical indicators - **Stock Analysis**: Fundamental metrics, earnings data, and news sentiment from Yahoo Finance & Alpha Vantage - **Market Screening**: Identify opportunities through volume, momentum, and pattern analysis - **Unified Reports**: Consolidated analysis combining multiple data sources - **Sentiment Analysis**: Latest news and market sentiment tracking ## Prerequisites - **Node.js** 14+ or higher - **Python 3.7+** - **mcporter** - MCP (Model Context Protocol) tool manager ## Installation MCPorter is a TypeScript runtime and CLI toolkit that auto-discovers MCP servers already configured in your AI editors (Cursor, Claude Desktop, Codex, Windsurf, VS Code, etc.). You have multiple installation options: ### Option 1: Run Instantly (No Installation Required) Use `npx` to run mcporter immediately without installing globally: ```bash # List available MCP servers npx mcporter list # Call a specific MCP tool npx mcporter call tradingview-m.coin_analysis symbol=BTCUSDT exchange=BINANCE timeframe=15m ``` **Best for**: Quick testing and one-off commands ### Option 2: Install Globally (Recommended for Regular Use) Install via your preferred package manager: **npm:** ```bash npm install -g mcporter ``` **pnpm:** ```bash pnpm add -g mcporter ``` **Homebrew (macOS/Linux):** ```bash brew tap steipete/tap brew install steipete/tap/mcporter ``` Verify installation: ```bash mcporter --version mcporter list ``` ### Option 3: Add to Your Project For Node.js projects, add mcporter as a dev dependency: ```bash pnpm add -D mcporter # or npm install --save-dev mcporter ``` Then use via `pnpm mcporter` or `npm exec mcporter`. ### Step 2: Conf...
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