Hi all , i am very new in this domain. and sorry for those basic question.
I check the data set being provided, which includes id (unique index data, no duplication), era 1 to era 120, features, and target.
Here my confusion:
" Each id corresponds to a stock at a specific time era " Lets assume there is APPLE data in the data set, data frequency is daily, and cover last 120 days, then there will be 120 lines of data related to APPLE. How i can identify those 120 line of data related to APPLE ?
Id is a unique index number. so what’s the business reason to predict the target, related to a stock with specific time era ? Should that be a prediction to stock A with next 4 weeks performance ?
Are we looking for a model to predict future without knowing which data elements are linking back to the same stock ?
Are we looking for the prediction for whole market ? can we focus on couple selected stocks ?
sorry, i am really confused.
hope will get some inputs from you guys.