Do you often wonder what is Algorithmic trading? Algorithmic trading is a decision-making process used in trading which employs computers specialized in manipulating the markets. This process has evolved with more companies
integrating best practices to make it more competitive. Algorithms can assess
data and make instant calculations, while humans need hours or days to do so.
In this article, we will explore some of the advantages that algorithmic
trading offers traders when deciding on what and how much to trade as well as
when and for how long.

As the name suggests, algorithmic trading is based on advanced quantitative analysis, and this technology is used extensively by investment banks, hedge funds, and elite proprietary trading firms across Wall Street. Algorithmic
trading allows firms to execute trades in both large and small volumes with
guaranteed speed, and accuracy and based on market-beating criteria.

Decision-making processes

The term “algorithmic trading” is used to refer to a variety of decision-making processes that involve computers and algorithms.

1. Algorithmic trading has been on the rise since the early 2000s. It can be best defined as the robots trading through automated rules and strategies implemented via data that is updated regularly. Algorithmic trading is effective because it reduces the possibility of human
error, as well as the noise due to other trading lines

2. Another advantage of algorithms is that they make decisions on an automated basis and do not have to rely on human judgment. As data is regularly updated and analyzed, there is no room for errors. Another advantage of algorithmic
trading includes that it involves “high-speed processing”; algorithms can
decide within a short time to keep up with the markets. For example, the
Markets in Financial Instruments Directive (MiFID), which implemented rules and
regulations on the trading of financial instruments, gave firms with a large
amount of information and computing power an advantage that they could exploit
to progress. However, there must be a responsibility on the part of the firm to
maintain data integrity.

3. Algorithms are therefore an effective way to provide algo trading strategies for companies for them to take advantage of market changes.

What are the various disadvantages of algorithmic trading?

Algo trading (AT) has many advantages, but there are a few disadvantages to be aware of before deciding whether or not AT is right for you. In this post, let us cover the following aspects:

1. Costs – AT involves transaction costs and a commission rate, which could be high for accounts with small balances.

2. Execution – For AT to work, you need to choose a system that can execute trades in the various markets and timeframes.

3. Market makers – AI systems are not capable of making markets for themselves or finding liquidity.

4. EMEs – AI is not yet advanced enough to have a positive impact on markets.

5. Market dynamics – AI is not yet advanced enough to have a powerful impact in many markets.

These benefits and drawbacks discussed would help you choose the best trading options to meet your specific needs.