Best Time to Buy and Sell Stock II

Problem

You are given an integer array prices where prices[i] is the price of a given stock on the ith day.

On each day, you may decide to buy and/or sell the stock. You can only hold at most one share of the stock at any time. However, you can buy it then immediately sell it on the same day.

Find and return the maximum profit you can achieve.

Example 1:

Input: prices = [7,1,5,3,6,4]
Output: 7
Explanation: Buy on day 2 (price = 1) and sell on day 3 (price = 5), profit = 5-1 = 4.
Then buy on day 4 (price = 3) and sell on day 5 (price = 6), profit = 6-3 = 3.
Total profit is 4 + 3 = 7.

Example 2:

Input: prices = [1,2,3,4,5]
Output: 4
Explanation: Buy on day 1 (price = 1) and sell on day 5 (price = 5), profit = 5-1 = 4.
Total profit is 4.

Example 3:

Input: prices = [7,6,4,3,1]
Output: 0
Explanation: There is no way to make a positive profit, so we never buy the stock to achieve the maximum profit of 0.

Constraints:

  • 1 <= prices.length <= 3 * 10^4
  • 0 <= prices[i] <= 10^4

Solution

class Solution {
    public int maxProfit(int[] prices) {
        var profit = 0;

        for (int i = 0; i < prices.length - 1; i++) {
            var sellPrice = prices[i + 1];
            var buyPrice = prices[i];
            var diff = sellPrice - buyPrice;
            if (diff > 0) {
                profit += diff;
            }
        }

        return profit;
    }
}

Recent posts from blogs that I like

What to do when a macOS update goes wrong

Anything can happen, but so long as you have a recent backup you should be able fix the problems and get back up and running again. Here's how.

via The Eclectic Light Company

no two things the same

Tony Feher, Come Out and Play Stephen Jay (detail), 2013

via bookbear express

Microsoft Plugs Nearly 400 Security Holes

Microsoft today released updates to remedy at least 398 security vulnerabilities in its Windows operating systems and supported software, including one weakness that is already being actively exploited and two others that were publicly detailed prior to today.

via Krebs on Security