In the first task, you need to compute candlestick data from the exchange data for a particular product. Here is an example of the fields needed for candlestick data:DateOpen High Low Close$2023-05-01100120801102023-05-021101301001202023-05-039010070802023-05-0495110701002023-05-058012075115$Note that you will need to do this separately for asks and bids, and separately for different products.So the table above might be the candlestick data for 'asks on ETH$/$UDST$\text{'},$ for example.Here is how you can compute each field:Open $=$ the average price per unit in the previous time frame. So say we want to compute the valuefor ETH$/$USDT asks from the list of items from the order book, which are all asks for ETH$/$USDT:AmountPriceValue $($price X amount$)1051010$TOTAL$1520$MEAN price $($total value $/$ total price:$6\mathrm{.}67$You can see that the mean price is $6\mathrm{.}67.$Close: the average price per unit in this time frame $($same as Open, but for the current time frame$)$High: highest price seen this time frameLow: lowest price seen this time frameYou should implement the candlestick data computation using a function which returns the following datatype std::vecto