Pass challange ftmo

Considering the material from my the previous article, I can say that this is only a superficial description of all the functions that I introduced into my algorithm. They concern not only the complete automation of the EA creation, but also such important functions as complete automation of the optimization and selection of results with subsequent use for automatic trading, or the creation of more progressive EAs I am going to show a little later.

Thanks to the symbiosis of trading terminals, universal EAs and the algorithm itself, you can completely get rid of manual development, or, in the worst case, reduce the labor intensity of possible improvements by an order of magnitude provided that you have the necessary computing capabilities. In this article, I will start describing the most important aspects of these innovations.

Routine

The most important factor in creation and subsequent modifications of such solutions over time for me was understanding the possibility of ensuring maximum automation of routine actions. Routine actions, in this case, include all non-essential human work:

• Generation of ideas.
• Creating a theory.
• Writing a code according to the theory.
• Code correction.
• Constant EA re-optimization.
• Constant EA selection.
• EA maintenance.
• Working with the terminals.
• Experiments and practice.
• Other.

As you can see, the range of this routine is quite wide. I treat this precisely as a routine, because I was able to prove that all these things can be automated. I have provided a general list. It does not matter who you are – an algorithmic trader, a programmer, or both. It does not matter whether you know how to program or not. Even if you do not, then in any case you will encounter at least half of this list. I am not talking about cases when you bought an EA in the market, launched it on the chart and calmed down by pressing one button. This, of course, happens, albeit extremely rarely.

Understanding all this, first I had to automate the most evident things. I conceptually described all this optimization in a previous article. However, when you do something like this, you begin to understand how to improve the whole thing, based on the already implemented functionality. The main ideas in this regard for me were the following:

• Improving the optimization mechanism.
• Creation of a mechanism for merging EAs (merging bots).
• Correct architecture of the interaction paths of all components.

Of course, this is a pretty brief enumeration. I will describe everything in more detail. By improving optimization I mean a set of several factors at once. All this is thought through within the chosen paradigm for building the entire system:

• Speeding up optimization by eliminating ticks.
• Accelerating optimization by eliminating profit curve control between trading decision points.
• Improving the quality of optimization by introducing custom optimization criteria.
• Maximizing the forward period efficiency.

On this website Forum, you can still find ongoing debates about whether optimization is needed at all and what its benefits are. Previously, I had a rather clear attitude towards this action, largely due to the influence of individual forum and website users. Now this opinion does not bother me at all. As for optimization, it all depends on whether you know how to use it correctly and what your objectives are. If used correctly, this action gives the desired result. In general, it turns out that this action is extremely useful.

Many people do not like optimization. There are two objective reasons for that:

• Lack of understanding of the basics (why, what and how to do, how to select results and everything related to this, including lack of experience).
• Imperfection of optimization algorithms.

In fact, both factors reinforce each other. To be fair, the MetaTrader 5 optimizer is structurally impeccably executed, but it still needs many improvements in terms of optimization criteria and possible filters. So far, all this functionality is akin to children's sandbox. Few people think about how to achieve positive forward periods and, most importantly, how to control this process. I have been thinking about this for a long time. In fact, a fair share of the current article is to be devoted to this topic.

New optimization algorithm

In addition to the basic known evaluation criteria of any backtest, we can come up with some combined characteristics that can help multiply the value of any algorithm for more efficient selection of results and subsequent application of settings. The advantage of these characteristics is that they can speed up the process of finding working settings. To do this, I created some sort of a strategy tester report similar to that in MetaTrader: