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.