Feature #8: Find Intervals
Explore how to determine the minimum number of intervals until a stock's predicted price rises by using a monotonic stack. Understand the algorithm and implement an efficient solution with O(n) time complexity to analyze future stock price changes.
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Description
We are given the price predictions, prices, of a stock over a future time window. We are interested in making a profit by selling the stock at a higher price.
There are n intervals in the time window, where each interval represents a stock’s predicted price for that interval.
Our goal is to return an array, intervals, such that intervals[i] is the minimum number of intervals after the ith interval when the price will increase. If there is no time interval for which this is possible, we will keep intervals[i] == 0 instead.
The following examples may clarify these requirements:
Solution
We are given an array that represents the time series of the predicted stock prices over n future intervals, all of equal duration. The ...