Trading Analyzer Skill

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

Quick Start

Analyze Cryptocurrency

python

# MCP tools available:
# - coin_analysis: Get crypto analysis (TradingView)
# - smart_volume_scanner: Volume + technical analysis scan
# - top_gainers: Bullish coins by Bollinger Band analysis
# - advanced_candle_pattern: Multi-timeframe candle patterns

Analyze Stock

python

# MCP tools available:
# - get-ticker-info: Company fundamentals (Alpha Vantage)
# - get-ticker-news: Latest news articles (Yahoo Finance)
# - get-price-history: Historical OHLC data
# - ticker-earning: Earnings data and dates

Common Use Cases

1. Quick Crypto Analysis

•Call coin_analysis for immediate technical overview
•Use smart_volume_scanner to identify breakout opportunities
•Check top_gainers for bullish signals

2. Fundamental Stock Research

•Call get-ticker-info for company metrics
•Fetch get-ticker-news for sentiment analysis
•Review get-price-history for trend confirmation

3. Market Screening

•Use crypto screeners (top_gainers, top_losers, volume_breakout_scanner) to find opportunities
•Consolidate results into unified trading strategy

4. Consolidated Report

•Combine price + technical + news + fundamentals
•Deliver single analysis with actionable recommendations

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:

•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

code

# 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

code

# 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:

•Create new analyzer in analyzers/ directory
•Implement analyze(symbol, options) interface
•Register in routing logic
•Update tools reference

License

MIT