The stock market is such a critical place that there are often a variety of systems that the investors use to plan their moves, optimize their earnings and get the best returns. Algorithmic trading is one such system and in recent times, it has become very popular as well.

What Exactly Is Algorithmic Trading?

This is actually a trading system that makes use of advanced mathematical models that are refereed to as algorithms. These models are used to take decisions about buying and selling stocks. Actually computers are programmed to run the algorithm once the electronic trading orders are entered. The trading orders follow various technical conditions such as market trends, market timing, price of the stocks, volumes and others like this. There is very minimal human intervention as the algorithm is left alone to do its job and propose the financial decisions that need to be taken.

Algorithmic trading is also popularly often referred to as algo trading, high-frequency trading, black-box trading or robo trading. In fact, the system has today become a key component in electronic financial markets.

Algorithmic trading has now become extremely popular. A huge number of investment decisions in the stock market are made using this system. In the US and the EU, more than one-third of all investment decisions are automated now. In the London Stock Exchange, more than 40% of all decisions are being taken using the algorithmic trading system. And it is much the same in the ASX too.

Who Uses The Algorithmic Trading System?

This system is very popular among the large institutional investors such as pension funds, mutual funds and hedge funds. The system works by receiving information electronically and taking all decisions automatically after considering all aspects that are run through the mathematical algorithm. The advantage of this is that, the human factor in decision making can be easily ignored, and with this, human mistakes can also be avoided. In algorithmic trading, the investment decisions can be taken quicker too, and this is one more advantage.

Sometimes there are so many factors to be considered and so much money that is involved, that it is best to leave the job to the mathematical algorithm rather than depend on people for this.

Of course, when the firms can take the decisions automatically using this scientific process, they need not anymore hire the large number of experts, who usually cost a lot of money too. But money saving is not the main concern here for the investment companies. Rather, they are concerned about taking the correct investment decisions.

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