So I've been using ensemble methods to model stock price movement, using intraday per-minute data in the OHLCV format, with the prediction being a 1 if the future close goes up, and 0 if it goes down. There are rows within the data that have the same closing price, and due to my somewhat limited understanding of how to interpret intraday data, I do not know if this is a normal occurrence.
If I factor in that the stock price may not move at all, then this becomes a multiclass classification problem, as I then have 3 outcomes to consider. This obviously entails a more involved process in producing error metrics, so I wanted to know if I am mistaken in thinking this is a multiclass problem. Thanks