Best Time to Buy and Sell Stock | Maximize Profit Strategy | Competitive Coding | NeetCode

Описание: Welcome to DigiiMento Education! In this video, we explain Problem 121: Best Time to Buy and Sell Stock. This problem is widely asked in coding interviews at companies like Google, Facebook, Amazon, and Bloomberg.

🚀 What You'll Learn:
Understanding the Best Time to Buy and Sell Stock problem
Analyzing time and space complexity for each approach
Optimizing your solution with a linear approach
Real interview tips and tricks to solve this problem effectively
Problem Statement: You are given an array of integers where each element represents the price of a stock on a given day. Your goal is to maximize profit by buying the stock on one day and selling it on a future day. Return the maximum profit you can achieve, and if no profit can be achieved, return 0.

📝 Code Strategy:
Brute Force Approach - Compare every pair of buy-sell prices.
Optimized Approach (Linear Time) - Use a single loop to track the minimum price and calculate the maximum profit.
📊 Companies Asking This Problem:
Google
Amazon
Facebook
Bloomberg
Key Topics Covered:

Stock market pricing logic
Maximizing profits through efficient algorithms
Time complexity optimization (from O(n²) to O(n))

🎯 How to Approach this Problem in Interviews:
Explain the brute force solution to start, but also highlight its inefficiency.
This problem is highly relevant for real-world stock trading scenarios and often appears in technical interviews for top tech companies.

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Dive into the optimized solution, where we track the lowest price and maximum profit in a single pass (O(n) time complexity).
Mention edge cases such as prices always decreasing (no profit).