🤖
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.
安全通过
🔌MCP
技能说明
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)KUCOINBYBIT
Timeframes (Crypto)
5m,15m,1h,4h,1D(default),1W,1M
Output Formats
markdown(default) - Formatted reportjson- Raw data structure
Asset Detection
Automatically routes to correct analyzer:
- Crypto: Ends with USDT, USDC, BTC, ETH, BNB OR common crypto pairs (BTC, ETH, SOL, ADA)
- Stock: 1-5 letter tickers (AAPL, TSLA, MSFT)
- 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:
- Create new analyzer in
analyzers/directory - Implement
analyze(symbol, options)interface - Register in routing logic
- Update tools reference
License
MIT
如何使用「Trading Analyzer」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Trading Analyzer」技能完成任务
- 结果即时呈现,支持继续对话优化