Why Buy and Sell Stocks All Variants in DSA Typescript?

The Big Idea

What if you could find the best day to buy and sell stocks without endless guessing?

The Scenario

Imagine you want to make money by buying and selling stocks. You try to track prices every day on paper and decide when to buy or sell manually.

It feels like guessing and takes a lot of time to check all days and combinations.

The Problem

Manually checking every possible day to buy and sell is slow and confusing.

You might miss the best days or make mistakes in calculations.

It's hard to find the best profit without a clear method.

The Solution

Using algorithms for buying and selling stocks helps find the best days to buy and sell quickly.

These methods check prices smartly and calculate maximum profit without trying every possibility.

Before vs After

✗ Before

let maxProfit = 0;
for (let i = 0; i < prices.length; i++) {
  for (let j = i + 1; j < prices.length; j++) {
    if (prices[j] - prices[i] > maxProfit) maxProfit = prices[j] - prices[i];
  }
}

✓ After

let minPrice = Infinity;
let maxProfit = 0;
for (const price of prices) {
  if (price < minPrice) minPrice = price;
  else if (price - minPrice > maxProfit) maxProfit = price - minPrice;
}

What It Enables

This concept lets you quickly find the best profit from stock prices without guessing or checking every option.

Real Life Example

Investors use these algorithms to decide the best days to buy and sell stocks to maximize their earnings.

Key Takeaways

Manual checking of stock prices is slow and error-prone.

Algorithms find the best buy/sell days efficiently.

This helps maximize profit with less effort and mistakes.