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🦀 ClawHub

Trading Analyzer

by @baoduy

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.

Versionv0.0.6

Downloads2,166

Installs1

Stars⭐ 2

#crypto-defi #finance #legal

View on ClawHub →

TERMINAL

clawhub install drunk-trading-analyzer

📖 About This Skill

name: trading-analyzer description: 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. metadata: { "openclaw": { "emoji": "📈", "os": ["darwin", "linux", "win32"], "mcp_servers": ["tradingview-mcp", "alphavantage", "yahoo-finance-server"], "description": "Uses MCP (Model Context Protocol) tools auto-discovered by mcporter for seamless integration with TradingView, Alpha Vantage, and Yahoo Finance APIs", }, }

Trading Analyzer Skill

Multi-source market analysis combining cryptocurrency and stock data with AI-powered insights.

Quick Start

Analyze Cryptocurrency

# 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

# 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

# 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

# 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:

# 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

# 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

💡 Examples