trading-analyzer
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.
Best use case
trading-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using trading-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/drunk-trading-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How trading-analyzer Compares
| Feature / Agent | trading-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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 tradingview-mcp.top_gainers exchange=BINANCE timeframe=1h limit=50 # Volume + momentum mcporter call tradingview-mcp.smart_volume_scanner \ exchange=KUCOIN min_volume_ratio=3.0 rsi_range=oversold # Top stock sectors mcporter call yahoo-finance-server.get_top_entities \ entity_type=performing_companies sector=technology count=10 ``` ### 4. Consolidated Report Combine multiple data sources for comprehensive analysis - use scripting or agent calls to orchestrate these tool calls together. ## MCP Tools Reference ### TradingView (Crypto Analysis) | Tool | Purpose | | -------------------------- | -------------------------------------------------------- | | `coin_analysis` | Detailed analysis on specific coin (indicators, metrics) | | `smart_volume_scanner` | Volume + RSI + price change combination scan | | `volume_breakout_scanner` | Coins with volume and price breakouts | | `top_gainers` | Best performing coins (Bollinger Band filtered) | | `top_losers` | Worst performing coins | | `advanced_candle_pattern` | Progressive candle size patterns across timeframes | | `consecutive_candles_scan` | Growing/shrinking consecutive candles | ### Alpha Vantage (Stock Data) | Tool | Purpose | | ------------------- | ----------------------------------------- | | `get_ticker_info` | Company fundamentals, metrics, governance | | `get_price_history` | Historical OHLC data for trend analysis | | `ticker_earning` | Earnings data and upcoming dates | ### Yahoo Finance (Market Intelligence) | Tool | Purpose | | ------------------ | ----------------------------------- | | `get_ticker_news` | Recent news articles with sentiment | | `get-top-entities` | Top stocks/ETFs by sector | ## Configuration ### Exchange Options (Crypto) - `BINANCE` (default highest liquidity) - `KUCOIN` - `BYBIT` ### Timeframes (Crypto) - `5m`, `15m`, `1h`, `4h`, `1D` (default), `1W`, `1M` ### Output Formats - `markdown` (default) - Formatted report - `json` - Raw data structure ## Asset Detection Automatically routes to correct analyzer: 1. **Crypto**: Ends with USDT, USDC, BTC, ETH, BNB OR common crypto pairs (BTC, ETH, SOL, ADA) 2. **Stock**: 1-5 letter tickers (AAPL, TSLA, MSFT) 3. **Fallback**: Attempts stock lookup first, then crypto ## Example Reports ### Crypto Report Structure ``` # Trading Analysis: BTCUSDT ## Price Overview Current: $45,200 (-2.3%) | 24h High: $46,100 | Low: $44,800 Volume: $28.5B | Change: -$1,050 ## Technical Analysis (1D) Trend: Bearish | RSI: 35 (Oversold) | MACD: Negative Bollinger Bands: Below MA | Support: $44,200 | Resistance: $46,500 ## Market Data Exchange: BINANCE | Sentiment: Neutral-Bearish ## Recommendation Signal: HOLD | Risk: Moderate ``` ### Stock Report Structure ``` # Trading Analysis: AAPL ## Price Overview Current: $278.12 (+0.80%) | Open: $277.12 | Volume: 50.4M 52-week High: $305.25 | Low: $201.50 ## Company Fundamentals P/E Ratio: 28.5 | Market Cap: $2.8T | Dividend: 0.92% Revenue Growth: 2.3% | Profit Margin: 28.1% ## Latest News (5 articles) 1. "Apple announces AI features" - CNBC (2h ago) [Positive] 2. "Q1 earnings beat estimates" - Reuters (1d ago) [Positive] ## Recommendation Outlook: BULLISH | Target: $295 | Risk: Low ``` ## Error Handling - Graceful fallback if MCP server unavailable - Partial reports if single data source fails - Caching support for repeated queries - Clear error messages with retry guidance ## Performance Notes - Cache queries within 5-minute windows - Parallel data fetching for multi-source reports - Typical analysis time: 2-5 seconds per asset ## Troubleshooting ```bash # Verify MCP servers running echo "Check .vscode/mcp.json configuration" # Debug API keys echo "Ensure Alpha Vantage API key is set" # Test connectivity python3 -c "import requests; print(requests.__version__)" ``` ## Extensions To add new data sources: 1. Create new analyzer in `analyzers/` directory 2. Implement `analyze(symbol, options)` interface 3. Register in routing logic 4. Update tools reference ## License MIT
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