For 30 days, a company kept track of its share price throughout the day, along with the first share price for the next day. The objective was to build a model that can use a day's sequence of share prices to predict the next day's first share price. It is assumed that the share prices towards the end (as opposed to the beginning) of the day have a higher influence on the next day's first share price. Input sequences of 5 share prices were recorded for the first 25 days. On the other 5 days, input sequences of only 3 share prices were recorded. The number of share prices recorded in a day differed depending on the demand for the company's shares on that day. Which of the following approaches is most recommended for this scenario?