Algorithmic trading is a process of executing orders using automated, pre-programmed trading instructions to take into account variables such as price, momentum and volume. The use of algorithms in trading increased after the introduction of computerized trading systems in the American financial markets during the 1970s. Let's see what algorithmic trading consists of, how to apply it in our trading and what advantages and disadvantages it presents.
What is algorithmic trading
Algorithmic trading is a process of executing orders using automated, pre-programmed trading instructions to take into account variables such as price, momentum and volume. An algorithm is a set of instructions to solve a problem. Computer algorithms send small portions of the entire order to the market over time. Algorithmic trading uses complex formulas, combined with mathematical models and human supervision, to make decisions to buy or sell financial securities on an exchange. Algorithmic traders typically use high-frequency trading technology, which can allow a firm to make tens of thousands of trades per second. Algorithmic trading can be used in a wide variety of situations, such as order execution, arbitrage, and trend trading strategies.
What is algorithmic trading for?
Writer Michael Lewis brought high-frequency algorithmic trading to public attention when he published the best-selling Flash Boys, which documented the lives of the Wall Street traders and entrepreneurs who helped create the companies that came to define the structure of trading. electronic trading in the United States. The use of algorithms in trading increased following the introduction of computerized trading systems in the US financial markets during the 1970s. In the following decades, exchanges improved their capabilities to accept electronic trading and, in 2009, more than 60% of all operations in the United States were executed by computer.
Algorithmic trading strategy applied in Tradingview. Source: Tradingview.
Example of using algorithmic trading
To give an example, we will use artificial intelligence. If we write a prompt to ChatGPT it can help us create an EditorPine code that we can then incorporate into Tradingview. It should be noted that it is not as simple as it seems, since Editor Pine can generate errors that GPT does not understand.
Example of using ChatGPT to develop an algorithmic trading strategy. Source: ChatGPT.
Advantages and disadvantages of algorithmic trading
+ Algorithmic trading allows for faster and easier execution of orders, which makes it attractive to exchanges. In turn, this means that traders and investors can quickly make profits from small changes in price. The scalping strategy usually uses algorithms because it involves the rapid buying and selling of securities at small price increments. - The speed of order execution, an advantage under normal circumstances, can become a problem when multiple orders are executed simultaneously without human intervention. Another disadvantage of algorithmic trading is that liquidity, which is created by rapid buy and sell orders, can disappear in a moment, eliminating the possibility of traders profiting from price changes.