Feature #8: Find Intervals
Explore how to determine the minimum number of future intervals after which a stock price will increase using a monotonic stack approach. Learn to implement an efficient algorithm that processes predicted stock prices and returns an array indicating the waiting times for price rises, optimizing for time and space complexity.
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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 ...