Hi All, I have the following problem. can you help me in solving this.
Suppose we could access yesterday's stock prices as an array where:
- The indices are the time in minutes past trade opening time, which was 9:30 am local time
- The values are the price in dollars of Apple stock at that time
So if the stock cost $500 at 10:30am, stock_prices_yesterday[60] = 500
Write an efficient function that takes stock_prices_yesterday and returns the best profit I could have made 1 purchase and 1 sale of 1 Apple stock yesterday.
Below is a solution that uses brute force algorithm. Big 0(n2). Can you write an improved solution at Big 0(n2) or even better Big 0(n)
def get_max_profit(stock_prices_yesterday)
max_profit = 0
# go through every time
for outer_time in (0...stock_prices_yesterday.length)
# for every time, go through every OTHER time
for inner_time in (0...stock_prices_yesterday.length)
# for each pair, find the earlier and later times
earlier_time = [outer_time, inner_time].min
later_time = [outer_time, inner_time].max
# and use those to find the earlier and later prices
erlier_price = stock_prices_yesterday[earlier_time]
later_price = stock_prices_yesterday[later_time]
# see what our profit would be if we bought at the
# earlier price and sold at the later price
potential_profit = later_price - earlier_price
# update max_profit if we can do better
max_profit = [max_profit, potential_profit].max
end
end
return max_profit
end
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