1. Data Analysis: You are a professional quantitative researcher. in folder “ROUND_3” there are price and trade data for three days (day 0, 1, 2), for Two Asset Class(HYDROGEL_PACK, VELVETFRUIT_EXTRACT ) and 10 VELVETFRUIT_EXTRACT_VOUCHER options, in csv file. The vouchers are labeled VEV_4000, etc.; the number is the strike price. They all have a 7-day expiration deadline starting from round 1, where each round represents 1 day. Thus, the ‘time till expiry’ (TTE) is 7 days at the start of round 1 (TTE=7d). My purpose here is to create a new Python program that algorithmically trades these 3 products. Now I need you to do a data analysis on those price and trade data (for example, stationary analysis, correlation analysis, pattern analysis, etc.) and visualize the results whenever you can and generate a Jupyter Notebook file so that I can read and learn.