Algo Trading
Algorithmic trading is the practice of purchasing or trading security according to some prescribed set of rules tested on past or historical data. These sets of rules are based on charts, indicators, technical analysis or stock essentials. For instance, suppose you have a proposition to purchase a particular stock assuming that the stock will end up in losses for three consecutive days before it rises in price. In this case, one can write and design an algorithm in such a way that the buy order for the particular stock is met when price is at a prespecified low and sold when the price is at a prespecified high.
Algorithmic trading has increased significantly over the past 10 years. In the U.S. stock market, about 70% of the comprehensive trading volume is initiated through algorithmic trading. A recent report by Forbes evaluated that the total world market for algorithmic trading is going to expand by 10.3% by the year 2020