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QuantBoard

I built this cryptocurrency analysis dashboard with Streamlit because I didn't have time to go through and check what's going on in the markets while working. I wanted everything in one place - market insights, technical indicators,

The dashboard includes all the indicators and metrics I've relied on throughout my trading journey. These aren't just random technical tools - they're the ones I've found most useful from my own experience in the markets.

The indicators and results aren't 100% accurate, nor do I claim them to be. Crypto is volatile and unpredictable - this is just a tool to help get a quick overview of market conditions based on technical analysis.

I made this for traders like me who want to quickly assess market conditions without spending hours analyzing different sources. Sometimes you just need that one-shot view to understand what's happening and make informed decisions fast.

The whole idea was simple: save time, get better insights, and have everything I need in a single dashboard.

Features

  • Real-time Market Data: Live cryptocurrency prices, market caps, and trading volumes from CoinGecko API
  • Advanced Technical Analysis: RSI, MACD, Bollinger Bands, Ichimoku Cloud, Fibonacci retracements, and 20+ technical indicators
  • AI-Powered Predictions: Machine learning models using Random Forest regression for price forecasting
  • Economic Indicators: Integration with FRED API for S&P 500, VIX, Treasury rates, unemployment data, and Fed rates
  • Fear & Greed Index: Market sentiment analysis with visual indicators
  • Portfolio Analytics: Risk assessment, Monte Carlo simulations, and volatility analysis
  • Interactive Charts: Dynamic Plotly visualizations with zoom, pan, and hover capabilities
  • Dark Glassmorphism UI: Modern, professional interface with smooth animations and responsive design
  • Commodity Data: COT (Commitment of Traders) data integration for market sentiment
  • Quantitative Metrics: GARCH volatility modeling, Sharpe ratios, and advanced risk calculations

Demo Preview

Check out the demo video

Demo

Demo - Link

Install

  1. Clone the repository:
git clone https://github.com/TechTronixx/QuantBoard.git
cd crypto-dashboard
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up API keys :
python setup.py
  1. Run the application:
streamlit run app.py

or

py -m streamlit run app.py

Tech Used

  • Frontend: Streamlit, Custom CSS, HTML5
  • Data Processing: Pandas, NumPy, SciPy
  • Machine Learning: Scikit-learn, Random Forest Regression
  • Data Sources: CoinGecko API, FRED API, Yahoo Finance
  • Visualization: Plotly, Interactive Charts
  • Technical Analysis: TA-Lib, Custom indicators
  • Backend: Python 3.8+, Requests, AsyncIO
  • Deployment: Streamlit Cloud ready

Diagram Overview

diagram

Troubleshooting

Debug Mode

The application includes a built-in debug mode to help diagnose API issues and connectivity problems:

  1. Enable Debug Mode: Check the "Debug Mode" checkbox in the sidebar settings
  2. API Testing: Debug mode automatically tests CoinGecko API connectivity on startup
  3. Status Indicators: Shows real-time API status, rate limits, and connection details
  4. Error Details: Provides detailed error messages for failed API calls
  5. Validation: Tests cryptocurrency ID validation and data fetching

Common Issues

API Rate Limiting

  • Free CoinGecko tier: 10-50 calls/minute
  • Enable debug mode to monitor API usage
  • Wait a few minutes before retrying
  • Consider upgrading to paid API plan

Data Loading Issues

  • Check internet connection
  • Verify API keys in .streamlit/secrets.toml
  • Use debug mode to test API connectivity
  • Ensure cryptocurrency ID is valid (e.g., "bitcoin" not "BTC")

Performance Issues

  • Large datasets may take time to load
  • Debug mode shows loading progress

Getting Help

  • Enable debug mode for detailed error information
  • Check the console for error messages
  • Verify all dependencies are installed correctly
  • Ensure API keys are properly configured

Credits

Built with modern web technologies and financial data APIs. Special thanks to CoinGecko and FRED for providing comprehensive market data and economic indicators.