Design a real-time financial data visualization system that tracks stock market trends and investment risks. The platform should integrate interactive graphs, volatility analysis, and portfolio comparison tools to support financial analysts and investors in data-driven decision-making.
Collect financial datasets (stock prices, indices, volumes).
Clean and normalize time-series financial data.
Store datasets in optimized database.
Implement statistical risk metrics (standard deviation, beta).
Develop moving average and trend analysis modules.
Enable date range and stock filters.
Integrate real-time data refresh simulation.
Implement alert system for price threshold crossing.
Add predictive model for short-term forecasting.
Optimize dashboard performance.
Ensure secure user login system.
Deploy and test under simulated market loads.
Prepare technical documentation.
