Stonks!

Context

This is a fictional dataset generated for five non-existent stock tickers. The stocks all have an IPO price and then a semi-random walk through 3,650 "end of day" closing prices that can be found in the train.csv file. There are then 721 prices, found in test.csv, that follow the data found in train.csv.

This is fictional data, so there are no dates. Imagine the first data row (there are headers) of train.csv to be day 0 and every subsequent entry to be +1 upon that. test.csv picks up where train.csv left off.

Content

The first row of each file is a stock ticker. The tickers are creatively named 'AAA', 'BBB', 'CCC', 'DDD', and 'EEE'. Every row afterward is the closing price of the stock on the next trading day.