MCP ExplorerExplorer

Stockmarketmcpserver

@khubi09on 22 days ago
1 MIT
FreeCommunity
AI Systems
MCP Server for Stock Market Analysis using Alpha Vantage APIs (Indian and US markets).

Overview

What is Stockmarketmcpserver

StockMarketMCPServer is a specialized MCP Server designed for stock market analysis, utilizing Alpha Vantage APIs to provide insights for both Indian and US markets.

Use cases

Use cases include generating trading signals based on fractal structures, assessing long-term investment opportunities through technical indicators, evaluating company fundamentals for value investing, and providing tailored investment recommendations based on market conditions.

How to use

Users can interact with StockMarketMCPServer through its various analysis tools, including fractal market analysis, long-term technical indicators, fundamental value analysis, and an investment recommendation engine. Each tool can be accessed via specific functions that require input parameters related to stock data.

Key features

Key features include multi-timeframe fractal analysis, support/resistance level identification, long-term trend analysis using moving averages, fundamental value metrics like P/E and P/B ratios, and a comprehensive investment recommendation engine that combines technical and fundamental scoring.

Where to use

StockMarketMCPServer can be used in financial analysis, investment research, portfolio management, and by individual investors looking to make informed trading decisions in the stock markets of India and the US.

Content

Core Analysis Tools

1. Fractal Market Analysis (fractal_market_analysis)

  • Multi-timeframe fractal analysis (daily + weekly patterns)
  • Support/resistance level identification with strength scoring
  • Market structure determination (uptrend, downtrend, consolidation)
  • Confluence scoring (how many times price tested levels)
  • Entry/exit zone calculation based on fractal geometry
  • Risk-reward ratio calculation using fractal levels
  • Trading signal generation based on fractal structure

Key Features:

  • Fractal high/low point identification using scipy
  • Pattern strength calculation based on volume, time, and proximity
  • Multi-timeframe structure alignment
  • Precise entry zones (2% around support levels)
  • Target zones (resistance-based profit targets)
  • Stop-loss placement using fractal structure

2. Long-term Technical Indicators (calculate_long_term_indicators)

Comprehensive trend analysis:

  • Moving averages (50-day, 200-day SMA)
  • Performance metrics (1M, 3M, 6M, 1Y returns)
  • Volatility analysis (annualized standard deviation)
  • Trend determination (6 different trend states)
  • Support/resistance levels (52-week high/low)
  • Distance calculations from key levels

3. Fundamental Value Analysis (calculate_value_metrics)

Value investing metrics:

  • P/E Ratio analysis (market-adjusted thresholds)
  • P/B Ratio evaluation
  • Dividend yield assessment
  • Return on Equity (ROE)
  • Debt-to-equity ratio
  • Value scoring system (0-7 scale)
  • Company overview data (sector, industry, market cap)

4. Investment Recommendation Engine (investment_recommendation)

Comprehensive investment thesis:

  • Combined technical + fundamental scoring
  • Market-adjusted expectations (US vs Indian markets)
  • 5-tier recommendation system (Strong Buy to Avoid)
  • Risk assessment (High/Medium/Low)
  • Investment score calculation (-5 to +10 scale)
  • Detailed analysis reports with actionable insights

Portfolio Management Strategies

5. Portfolio Diversification Analysis (portfolio_diversification_check)

Portfolio optimization:

  • Sector allocation analysis
  • Geographic diversification (US vs Indian markets)
  • Concentration risk assessment
  • Diversification scoring (0-100 scale)
  • Portfolio balance recommendations

Advanced Prompt-Based Strategies

7. Comprehensive Stock Analysis (analyze_any_stock)

  • Market-specific factor consideration
  • Fed/RBI policy impact analysis
  • Sector rotation analysis
  • Currency impact assessment
  • 3-5 year investment horizon focus

8. Fractal Trading Strategy (fractal_trading_strategy)

  • Risk tolerance customization (Conservative/Moderate/Aggressive)
  • Multi-scenario entry strategies
  • Fractal-based position sizing
  • Structural confirmation signals
  • Emergency exit protocols

9. Global Portfolio Construction (build_global_portfolio)

  • US + Indian market mixing
  • Currency risk management
  • Systematic investment planning
  • Geographic allocation limits
  • Multi-year wealth creation focus

10. SIP (Systematic Investment Plan) Strategy (create_sip_strategy)

Dollar-cost averaging optimization:

  • Fractal-enhanced timing
  • Progressive allocation strategies
  • Tax optimization planning
  • Multi-timeframe SIP approaches
  • Long-term wealth accumulation focus

Technical Implementation Features

  • Scipy signal processing for fractal identification
  • Statistical analysis (volatility, correlations)
  • Financial metrics calculation
  • Risk-reward optimization
  • Pattern recognition algorithms
  • Confluence analysis (multiple confirmations)
  • Structure strength assessment
  • Multi-timeframe alignment

Strategy Customization Options

Risk Profiles

  • Conservative: Higher confluence requirements, wider stops
  • Moderate: Balanced 1-2% risk per trade
  • Aggressive: Tighter stops, faster entries

Investment Horizons

  • Short-term: Fractal-based trading (days to weeks)
  • Medium-term: Technical trend following (months)
  • Long-term: Value + growth investing (years)

Market Approaches

  • Single stock analysis: Deep dive into individual opportunities
  • Portfolio management: Diversified multi-stock strategies
  • Systematic investing: Regular SIP/DCA approaches
  • Global diversification: Cross-market opportunities

Tools

No tools

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