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add : Best time to buy and sell stock program under GREEDY methods #10114
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cclauss
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TheAlgorithms:master
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kosuri-indu:add/best_time_stock.py
Oct 8, 2023
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""" | ||
Given a list of stock prices, | ||
This program calculates the maximum profit that can be made from a single buy and sell. | ||
We can only complete one transaction (buy one and sell one share of the stock). | ||
We must buy before we can sell. | ||
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Example : prices = [7, 1, 5, 3, 6, 4] | ||
max_profit will return 5 - which is by buying at price 1 and selling at price 6. | ||
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This problem can be solved using the concept of "GREEDY ALGORITHM". | ||
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We iterate over the price array once, keeping track of the lowest price point | ||
(buy) and the maximum profit we can get at each point. | ||
The greedy choice at each point is to either buy at the current price if | ||
it's less than our current buying price, or sell at the current price if the profit | ||
is more than our current maximum profit. | ||
""" | ||
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def max_profit(prices: list[int]) -> int: | ||
""" | ||
>>> max_profit([7, 1, 5, 3, 6, 4]) | ||
5 | ||
>>> max_profit([7, 6, 4, 3, 1]) | ||
0 | ||
""" | ||
if not prices: | ||
return 0 | ||
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min_price = prices[0] | ||
max_profit: int = 0 | ||
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for price in prices: | ||
if price < min_price: | ||
min_price = price | ||
elif price - min_price > max_profit: | ||
max_profit = price - min_price | ||
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return max_profit | ||
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if __name__ == "__main__": | ||
import doctest | ||
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doctest.testmod() | ||
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print(max_profit([7, 1, 5, 3, 6, 4])) |
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