High-Frequency Trading (HFT) is two different types of algorithmic trading that entail executing numerous orders in a little period of time. HFT uses sophisticated computerized trading tools and high-frequency financial data to assess markets and quickly execute a large number of orders. High-frequency traders enter and exit deals quickly with the goal of making tiny profits each time that, over time, add up to a sizable profit. Usually, algorithms with quicker execution times outperform algorithms with slower execution times. Due to its steady supply of liquidity and potential removal of wide bid-ask spreads, HFT can enhance market conditions. Some exchanges encourage HFT by giving rebates or waiving fees to HFT providers in order to reward this beneficial effect on the markets. HFT, on the other hand, has the potential to greatly enhance market volatility because algorithms are capable of making judgments in a matter of milliseconds without involving any human beings. HFT is a contentious trading technique since the liquidity it offers can emerge and vanish very quickly, making it impossible for other traders to profit from it. According to estimates, HFT algorithms are in charge of a sizeable portion of the trading activity on the international markets. Usually, only very large financial firms have access to this trading approach because of how complicated these algorithms are.