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.

3,891 stars

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

$curl -o ~/.claude/skills/drunk-trading-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/baoduy/drunk-trading-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/drunk-trading-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How trading-analyzer Compares

Feature / Agenttrading-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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.

Related Guides

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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