This Python script loads historical stock or index data (like the Nifty index) from a CSV file, processes it to calculate daily logarithmic returns, and visualizes both the raw prices and derived returns using plots and histograms. It then computes cumulative returns to simulate the performance of a long-term investment. Through the use of pandas, numpy, and matplotlib, it offers both numerical insights and clear visualizations to help analyze the asset’s behavior over time. 1.Importing Libraries 2. Reading the Data 3. Plotting the Data 4. Calculating Logarithmic Returns 5. Cleaning Data 6. Visualizing Returns 7. Cumulative Return Calculations 8. Adding and Plotting Cumulative Returns Example: full program to calculate stock…