Trading robot, presentation
Robot trading refers to brokerage systems via the Internet. It is intended to help traders decide whether to sell or buy a currency pair at a particular time and to take the psychological side out of trading. These bots are specialized computer programs designed to perform a variety of functions, from managing trades to informing the trader.
The trading robot is based on artificial intelligence. Most of them use the MQL scripting language, they make it possible to generate trading signals but also to execute transactions. Today it is possible to find several models of Forex robots, such as those that integrate trading rules. The simplest currently left to choose an automated system. However, it is still necessary to do research before investing to ensure the reliability of the source. Backtesting will especially test the capabilities of a trading robot.
Artificial intelligence and commerce
In 2020, more than 60% of transactions over $10 million were made through algorithms. However, the market for algorithmic trading should grow further in 2024, which will further strengthen the place of artificial intelligence (AI) in this sector. Among the different ways to use AI is deep learning. This consists of the use of analytical tools that seek to reproduce human decisions. These are then used and made more precise using algorithms.
Thus, traders have the opportunity to take advantage of scientific advantages without having to resort to in-house expertise, which would be more expensive. On the other hand, predictive programming makes it possible to determine the probability of decisions related to trading. An ecosystem is then created to benefit traders who rely on technology for their investments.
Automation in commerce
A trading robot today can be configured in a number of different ways and depending on the results a trader will seek to achieve. Thus, it can be fully automated. In this case, transactions are carried out electronically on behalf of the trader. A set of rules will be determined in advance. In parallel, the bot will generate stop-loss orders or trailing spots independently. Another option is to turn to a semi-automatic system.
In order not to miss opportunities, a program is used to study the currency markets. The system, based on a pre-programmed strategy, sends signals to its user. These can be entry prices as well as stop-loss orders. It will then be up to the trader to decide whether to attempt a trade or not. In any case, these two systems will allow him to free up time for other tasks.