Man has always looked at automation as a means of facilitating processes: Forex Robot, in the production and manufacturing world. This is what led to the industrial revolution. The world of trading and financial markets are no exception to this rule. This is why long ago we turned to computers as a means of streamlining the process of trading.
This has been an evolutionary process, which started by first taking things online and then introducing tools and software, known as trading robots, and then developing them into more sophisticated forex robots that we are witnessing now.
So come on along with us in this article as we take an in-depth look at the history of forex robots and also the developments that have taken place in this domain.
Advent of Computers in the World of Trading
It all began by the advent of computers and computing power. Our journey basically starts from the latter half of the 20th century when we started using computers and the power of processing that they provided for us in order to take markets online and started keeping a record of things digitally.
Soon after, the new computerized world of financial markets allowed more and more traders and investors to have access to such markets, including the foreign exchange market. This fact was truly heightened for the forex market, since it involves foreign currencies from all over the world.
This is a feature of the forex market, where it is not bound to any one country or any one economy. Unlike most other markets, such as the stock market, where we have a single centralized entity in each country, or several in each country, governing and operating the market, with the forex market we have a collection of decentralized markets around the world.
As we said, even the assets being traded in the forex market are international in their nature. We have foreign currency pairs as the building blocks of the market. This is why introducing computers and also the internet was huge for the forex market.
After the forex market went online and became part of the new computerized world, we started seeing the introduction of tools in the form of computer assisted trading.
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Beginning of Computer Assisted Trading in Forex
The next major step in the development of forex robots was the introduction of computer assisted trading. As we saw in the last section, when things became fully computerized and trading was done via computers, it was only a matter of time until we started seeing tools that could assist traders in this process.
Early tools for trading were mostly developed by savvy traders themselves. These were traders who pioneered a special trading strategy or even analysis methods and then took that and made a computer program capable of executing that process.
In this way, many tools were made that could potentially help traders in different aspects of trading, but mostly in market analysis.
This is also an ear where we saw a huge uptick in the development of charting tools and graphic representation of market data. At the same time many major trading platforms had their early beginnings.
But more importantly, preliminary forms of so-called forex robots were seen as well in the form of rudimentary software that could carry out market analysis, especially technical analysis.
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Early Development of Forex Bots
After the initial development phase with computer assisted trading tools that were the early predecessors to our current forex robots, we started seeing the development of early forex bots. These robots were quite narrow and limited in their scope of trading.
Naturally, given the limited and less developed form of technology that was behind the development of these bots they were not capable of carrying out a high number of trades with complex trading strategies.
But soon after, more specialized forex bots were introduced.
Forex Bots with Different Methods
In the early 90s and also the 2000s is when we had the development of more complex and technically advanced bots that specialized in more sophisticated trading methods.
For example, in the stock market and also other markets, arbitrage bots were developed that could take advantage of the price difference between two markets and profit from different assets and financial instruments.
Most importantly, forex trading robots specializing in scalping, swing trading, day trading, and other methods and styles of trading were developed.
But recently, forex trading robots are becoming more and more comprehensive in their operations and encompass more trading approaches and analysis methods.
Introducing AI and Machine Learning in Forex Robots
In the latest development stage of forex robots, we are witnessing the introduction of artificial intelligence and machine learning. Such technologies have allowed the development of highly intelligent bots.
The key difference between these forex robots and their early ancestors is the fact that these bots are smart and intelligent. This means they are not merely designed to carry out a linear process according to an algorithm. In fact, they are capable of following a fully branched out algorithm where almost countless scenarios are defined and can be followed by the bot.
This is how such forex bots, for example the XauBot Pro, is able to adapt to the changes in the market and also provide users with intelligent risk management approaches to provide the highest degree of asset security.
In addition, smart automated tools such as XauBot Pro, have a fully multifaceted approach to trading where they are capable of implementing different analysis methods, including technical analysis and its different techniques, and also fundamental analysis and its different techniques.
You should read: Mitigating Risks in Forex Trading Robots in 2024
Conclusion
Forex trading robots have been helping traders in their process of foreign exchange trading for decades on end. They began by simple forms of trading assistance tools and then evolved into more complex software that were capable of carrying out trades. All the way to our current forex bot development trends where we are witnessing the use of artificial intelligence, machine learning, and the latest technologies used in market analysis.
