Recently, trading robots or, as they are also called, algorithmic trading systems are gaining more and more popularity.
Stock trading robots
What is an trading robot and what is it for? In this article we will look at the key points that give us an understanding of this:
- What are stock robots, and what they are.
- How to properly evaluate the work of an trading robot, and who should use them.
- Whether an investor needs an trading robot.
What are stock trading robots?
An trading robot is a specialized program that is capable of performing trading operations instead of a person according to a certain, pre-programmed algorithm of actions, or on the basis of self-learning algorithms of artificial intelligence.
It is worth noting that now many new market participants have a certain confusion in understanding what an trading robot is. And here it is worth distinguishing several fundamentally different types of trading robots:
Robots are mechanical intermediaries. Such trading robots perform a purely mechanical function of conducting a transaction. In other words, so that there is no need to carry out the transaction manually. In certain situations, this is extremely necessary, when, for example, a transaction needs to be made very quickly. In fact, such trading robots are a software bundle between a software module that directly generates a trading signal and an exchange terminal, where an exchange order is entered directly and a transaction takes place. Such a trading robot can be written as an external program that connects to the exchange terminal, or it can be implemented in the internal programming language of the exchange terminal itself.
trading robots-algorithms. These trading robots directly generate trading signals, that is, they tell users when to buy or sell a particular asset. These algorithms are also called "advisors", that is, "advisors". At the same time, these robots act clearly according to a pre-programmed algorithm. To do this, the vast majority of trading algorithms use rules and indicators of technical analysis. The algorithm can be of varying degrees of complexity, ranging from a combination of several simple technical analysis indicators to complex neural artificial intelligence systems that take up not a single tens of thousands of lines of program code. All such trading robots are programmed either in a special external developer environment, or in specialized user programs that are specifically designed to create and simulate trading robots. For example, these are such popular applications as MetaStock, Omega TradeStation, TS-Lab, Wealth-Lab. These applications have their own internal programming language built in, in which you can create and simulate the operation of trading algorithms. The result of creating a trading algorithm in such an application looks like this: the algorithm literally advises the user, placing arrows in the right place, when and which asset is worth buying.
Read more: Stock exchanges - why they are needed and how do they operate
The exchange algorithm itself, which generates a trading signal when it is worth buying or selling an asset, is the most complex and compromise element, which conceals a lot of pitfalls that a novice user can "stumble" over. We will talk about how to evaluate the performance of such an algorithm a little later.
Complex trading robots. These are trading robots that include both an algorithm for generating a trading signal and a mechanical robot for transmitting this signal to the exchange terminal. As a rule, third-party developers of such programs offer users to purchase such package solutions. In the vast majority of cases, for users, this is a 100% "black box" with a completely incomprehensible algorithm inside, which will have access to your trading account and independently conduct operations. It remains only to simply monitor the work of such a robot and record the dynamics of the trading account. It would seem that this is just an ideal way to make money on the stock market and its fluctuations, however, in reality everything turns out to be much more complicated. Since such decisions are a "black box", this cannot guarantee any stability and predictability of the future result, and the uncontrolled process of exchange trading carries huge risks.
Reasons for using trading robots
What are trading robots used for? There are several reasons why they are being used in stock market trading more and more:
- The complexity of trading algorithms. Sometimes the process of making a trading decision looks very difficult, especially if it is based on a deep study of statistical probability distributions or the construction of neural networks, on the basis of which a trading algorithm generates a signal to buy or sell assets. It is simply impossible to implement this manually by tracking the indicator lines, so in this case there is only one way out, to program this trading algorithm and turn it into an trading robot.
- Psychological pressure. When it comes to money and equity, which is involved in high-risk exchange trading operations, and at the same time you have to watch how the values of the trading account jump up and down by tens of percent, not all the nerves of a trader or investor can withstand this pressure. All this leads to the fact that many retreat from the signals that the pre-programmed algorithm gives, because it seems that the market will behave quite differently. This, as a rule, leads to spontaneous, off-system transactions that turn out to be deeply unprofitable. The trading robot is devoid of any emotions and impartially executes the signals that the trading algorithm generates for it. If the algorithm works efficiently at the same time, it does not lead to a fatal result.
- High frequency and speed of transactions. There are certain types of trading on the stock market, which in modern conditions, in principle, cannot be carried out manually by a person, in this area everything has been completely captured by trading robots. This is scalping or high frequency trading (HFT). With this style of trading, a huge number of transactions can be made - thousands of transactions per day and dozens of transactions per minute. No one can implement such a number of transactions manually, just physically. Also, the speed of placing an order in the market is often important, especially when there is a very high level of volatility in the market, and prices can literally "fly" by several percent in seconds. During this time, the bidder, who acts manually, simply will not have time to enter all the parameters of the application and click OK. Therefore, in such situations, the use of an trading robot is simply a vital necessity.
In general, it is worth noting that the use of trading robots involves an active speculative trading style with a large number of transactions, including intraday transactions, that is, those that open and close within only one trading session. That is why speculative market players mostly use such approaches. And the basis of most trading algorithms is technical analysis in one form or another.
Read more: Forex Signals - what is it? How to use them?
How to properly evaluate the work of trading robot
The use of an trading robot seems very attractive to a lot of investors. If you look from the outside, there are a lot of advantages of such a decision: everything happens automatically; there is no need to worry and experience psychological pressure; and most importantly, there is no need to think and make analytical decisions when and why to buy or sell this or that asset.
The task of creating a stable speculative trading algorithm for a long period of time is an extremely difficult task. Powerful teams of programmers and mathematicians with unlimited resources are working on these issues in the world's leading investment companies with billions of turnover. And periodically, their trading algorithms fail, and companies receive multi-billion-dollar losses in a few days.
Due to the fact that creating a full-fledged trading robot is a very difficult task, many market participants tend to purchase a "black box" or subscribe to it on specialized resources. In this case, how to evaluate the efficiency of the algorithm and not lose the invested funds?
The main problem of all trading algorithms is that they use a historical series of data to generate their trading signal. But, unfortunately, the past does not determine the future, so any such approach is workable only in certain time segments of the market. Yes, of course, situations repeat themselves, and the market fluctuates up and down from day to day. But these situations are repeated each time in a new way, having only the main features in common, but the nuances that, as a rule, determine the result, turn out to be different each time.
Therefore, the evaluation of the effectiveness of any robotic algorithm begins with the study of its historical results. The algorithm should be tested on the history of quotations, and then it will be possible to evaluate its results.
It is often possible to meet trading robots that conduct real public results of work and do not have a historical test period. This is also not a completely indicative result, since a very long time period of several years is needed to assess the efficiency, which includes various phases of the stock market cycle.
The most reliable method of evaluating the effectiveness of an trading robot is to compare its historical test results and the results of real use. Historical testing allows us to see what results the trading algorithm has demonstrated over a long historical time period and various phases of the market cycle. And the results of real work allow us to assess how a workable model in the past is transferred to the specifics of real results.
The main criterion for evaluation here is the deviation of real results from the historical test period. If it exceeds the historical result by more than 50%, then the efficiency of the algorithm is unstable, and errors may have been made during its historical testing and tuning.
Read more: How to invest in stocks and what you need to know
At the same time, the current and historical efficiency of the algorithm can be assessed by a set of standard investment criteria and coefficients, such as:
- Average annual yield.
- The maximum "drawdown" of capital.
- The maximum duration of the unprofitable period.
- Sharpe coefficient.
- The Trainor coefficient.
- The Sortino coefficient.
In fairness, it should be noted that very rarely users can conduct such a comprehensive study of the results of the trading robot and draw correct conclusions if they do not develop this algorithm independently. In most cases, when deciding whether or not to use the acquired exchange algorithm, there is simply not enough information to make the right decision.
Does an investor need an trading robot?
The initial and main goal of creating any trading robot is to facilitate and simplify the trading process, whether it is placing a large number of orders, lightning–fast transactions or the implementation of a trading algorithm.
Speaking about trading robots and trading algorithms-advisors, we primarily mean their speculative use, that is, very active trading with a large and frequent number of transactions. And here it is obvious the direction in which trading robots simplify and facilitate this process.
Investing is a fundamentally different approach. Investors have nowhere to hurry, they do not need a high bid rate, and they do not make a large number of transactions. So are there processes that can be facilitated and simplified for investors?
Definitely there is! The work of an investor is no less labor-intensive than the work of a trader who is chained to the market and the exchange terminal for at least 12 hours a day. But investors are spending time and resources in a slightly different direction. This is an analysis of macroeconomic indicators and the industry, an analysis of individual companies, reading their reports, drawing up evaluation models and analyzing key events for the company.
Now there are services that, like an trading robot, are ready to take over part of the mechanical work of the investor and significantly facilitate the process of analyzing and collecting information for him.
The investor can independently configure what information it is important for him to track, including which portfolios.
Read more: Trading robots on the stock market
Conclusions
Robots around the world are rapidly changing our lives. In the field of market trading, we are used to seeing stock robots as an element of speculative strategies. But now trading robots are rapidly changing the world of investments, allowing investors to make such complex processes as assessing the fair value of a company and monitoring its financial indicators as compact and understandable as possible.