## Description

https://leetcode.com/problems/best-time-to-buy-and-sell-stock/

Say you have an array for which the *i*^{th} element is the price of a given stock on day *i*.

If you were only permitted to complete at most one transaction (i.e., buy one and sell one share of the stock), design an algorithm to find the maximum profit.

Note that you cannot sell a stock before you buy one.

**Example 1:**

Input:[7,1,5,3,6,4]Output:5Explanation:Buy on day 2 (price = 1) and sell on day 5 (price = 6), profit = 6-1 = 5. Not 7-1 = 6, as selling price needs to be larger than buying price.

**Example 2:**

Input:[7,6,4,3,1]Output:0Explanation:In this case, no transaction is done, i.e. max profit = 0.

## Explanation

The problem is seeking for the max profit in buying and selling stocks.

This is a simple modeling stock trading in real life. The essence of the problem is looking for the max value of prices[j] – prices[i], j > i.

It’s easy to solve the problem by keep tracking of the minimum price and max profit when iterating the array.

## Java Solution

```
public class Solution {
public int maxProfit(int[] prices) {
int maxProfit = 0;
int minPrice = Integer.MAX_VALUE;
for (int i = 0; i < prices.length; i++) {
minPrice = Math.min(minPrice, prices[i]);
maxProfit = Math.max(maxProfit, prices[i] - minPrice);
}
return maxProfit;
}
}
```

## Python Solution

```
class Solution:
def maxProfit(self, prices: List[int]) -> int:
if not prices:
return 0
max_profit = 0
min_price = prices[0]
for price in prices[1:]:
profit = price - min_price
max_profit = max(max_profit, profit)
min_price = min(min_price, price)
return max_profit
```

- Time complexity: O(N).
- Space complexity: O(1).

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