![]() One can perform either a BUY transaction or a SELL transaction at a given timestamp. Given the list, we will compute the maximum possible profit from the historical prices. We are given a list of historical prices over a specific period. This article will consider the algorithm to find the maximum possible profit given a list of historical prices. On the other hand, if the returns are not close to the maximum potential profit, they are not yet ready to be deployed. If the returns are comparable to the maximum possible profit during back-testing, then the algorithm is considered stable. However, before deploying it live, it is tested on historical data. Understanding divide and conquer method using stock price optimization problemĪlgorithmic trading involves coming up with new algorithms to predict the future price of a stock or commodity. Algorithmic trading represents one such area of interest for brokerage firms. These processes are being technically equipped, and a majority of the functions are being automated. Everyday, millions of people trade equities and commodities on various exchanges across the globe. Consider the scenario of the stocks and the stock markets. ![]()
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