Create a financial analytics platform that analyzes historical stock market data to identify trends and optimize investment portfolios. The system will apply statistical modeling and predictive analytics to assist investors in making informed decisions while managing financial risk effectively.
Collect historical stock price datasets.
Perform time-series analysis and calculate moving averages.
Visualize stock trends and volatility patterns.
Implement forecasting models such as ARIMA or LSTM.
Calculate portfolio risk using variance and covariance matrices.
Apply Modern Portfolio Theory for asset allocation.
Evaluate performance using Sharpe Ratio and risk-return metrics.
Create dashboards displaying stock insights and predictions.
Back-test portfolio strategies using historical data.
Document financial analysis and optimization results.
