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The advantages of each component of the pipeline—namely, the effectiveness and performance of the grid algorithms, the capability of contemporary machine learning tools, and the high liquidity of the FOREX market—are therefore combined in this review innovative and profitable grid trading system for the FOREX market, as was mentioned in the previous section. The authors provided an overview of the planned pipeline in Figure 1. The suggested strategy was put into practice and created for high frequency trading HFT.

The Tickstory Database, which exports historical data with a The following sections will go into more depth about each block that is mentioned in Figure 1. The Forex Mathematical Strategy EA works with any broker and any type of account, but we recommend our clients to use one of the top forex brokers listed below: I. Gold, EURUSD and EURGBP.

EA is claimed to have artificial intelligence. Please test it on demo first! We highly recommend trying the Forex Mathematical Strategy EA for at least a week with ICMarket demo account. Also, familiarize yourself with and understand how this system works before using it on a live account.

Get Free Access. Do not change these fields following. July 17, Posted by: Forex Wiki Team Category: Free Forex EA 11 Comments. This Content Is Only To Registered Users Please Login To Unlock The Content! The KMid midpoint, minimum and maximum are all that is needed to evaluate trend or flat nature of the analyzed area in percentage. But this is still not enough to fully characterize the situation. It essentially shows the expected payoff of the number of upward steps and is at the same time an indicator of the alpha trend.

If we measure the alpha trend percentage from to , we may write equations for calculating the value similar to the previous one:. If the percentage is positive, the trend is bullish, if it is negative, the trend is bearish. The cases may be mixed. There may be an alpha flat and alpha trend but not trend and flat simultaneously.

Below is a graphical illustration of the above statements and examples of constructed density graphs for various number of steps. As we can see, with an increase in the number of steps, the graph becomes narrower and higher. For each number of steps, the corresponding alpha and beta values are different, just like the distribution itself. When changing the number of steps, the reference distribution should be recalculated. All these equations can be applied to build automated trading systems.

These algorithms can also be used to develop indicators. Some traders have already implemented these things in their EAs. I am sure of one thing: it is better to apply this analysis rather than avoid it.

Those familiar with math will immediately come up with some new ideas on how to apply it. Those who are not will have to make more efforts. Here I am going to transform my simple mathematical research into an indicator detecting market entry points and serving as a basis for writing EAs. I will develop the indicator in MQL5. However, the code is to be adapted for porting to MQL4 for the greatest possible extent. Generally, I try to use the simplest possible methods resorting to OOP only if a code becomes unnecessarily cumbersome and unreadable.

Unnecessarily colorful panels, buttons and a plethora of data displayed on a chart only hinder the visual perception. Instead, I always try to do with as little visual tools as possible. When the indicator is loaded, we are able to carry out the initial calculation of a certain number of steps using certain last candles as a basis.

We will also need the buffer to store data about our last steps. The new data is to replace the old one. Its size is to be limited. The same size is to be used to draw steps on the chart. We should specify the number of steps, for which we are to build distribution and calculate the necessary values. Then we should inform the system of the step size in points and whether we need visualization of steps. Steps are to be visualized by drawing on the chart.

I have selected the indicator style in a separate window displaying the neutral distribution and the current situation. There are two lines, although it would be good to have the third one. Unfortunately, the indicators capabilities do not imply drawing in a separate and main windows, so I have had to resort to drawing.

Now the code is made compatible with MQL4 as much as possible and we are able to turn it into an MQL4 analogue quickly and easily.

Additionally, we will need a point to count the next step from. The node stores data about itself and the step that ended on it, as well as the boolean component that indicates whether the node is active. Only when the entire memory of the node array is filled with real nodes, the real distribution is calculated since it is calculated by steps.

No steps — no calculation. Further on, we need to have the ability to update the status of steps at each tick and carry out an approximate calculation by bars when initializing the indicator. Next, describe the methods and variables necessary to calculate all neutral line parameters.

Its ordinate represents the probability of a particular combination or outcome. I do not like to call this the normal distribution since the normal distribution is a continuous quantity, while I build the graph of a discrete value. Besides, the normal distribution is a probability density rather than probability as in the case of the indicator. It is more convenient to build a probability graph, rather than its density. All these functions should be called in the right place.

All functions here are intended either for calculating the values of arrays, or they implement some auxiliary mathematical functions, except for the first two. They are called during initialization along with the calculation of the neutral distribution, and used to set the size of the arrays. Next, create the code block for calculating the real distribution and its main parameters in the same way.

Here all is simple but there are much more arrays since the graph is not always mirrored relative to the vertical axis. To achieve this, we need additional arrays and variables, but the general logic is simple: calculate the number of specific case outcomes and divide it by the total number of all outcomes. This is how we get all probabilities ordinates and the corresponding abscissas. I am not going to delve into each loop and variable.

All these complexities are needed to avoid issues with moving values to the buffers. Here everything is almost the same: define the size of arrays and count them. Next, calculate the alpha and beta trend percentages and display them in the upper left corner of the screen. CurrentBuffer and NeutralBuffer are used here as buffers. For more clarity, I have introduced the display on the nearest candles to the market.

Each probability is on a separate bar. This allowed us to get rid of unnecessary complications. Simply zoom the chart in and out to see everything. The CleanAll and RedrawAll functions are not shown here.

They can be commented out, and everything will work fine without rendering. Also, I have not included the drawing block here. You can find it in the attachment. There is nothing notable there.

The indicator is also attached below in two versions — for MetaTrader 4 and MetaTrader 5. I have developed and seen plenty of strategies. In my humble experience, the most notable things happen when using a grid or martingale or both. Strictly speaking, the expected payoff of both martingale and grid is 0. Do not be fooled by upward-going charts since one day you will get a huge loss.

There are working grids and they can be found in the market. They work fairly well and even show the profit factor of This is quite a high value. Moreover, they remain stable on any currency pair. But it is not easy to come up with filters that will allow you to win. The method described above allows you to sort these signals out. The grid requires a trend, while the direction is not important. Martingale and grid are the examples of the most simple and popular strategies.

However, not everyone is able to apply them in the proper way. Self-adapting Expert Advisors are a bit more complex. They are able to adapt to anything be it flat, trend or any other patterns. They usually involve taking a certain piece of the market to look for patterns and trade a short period of time in the hope that the pattern will remain for some time.

A separate group is formed by exotic systems with mysterious, unconventional algorithms attempting to profit on the chaotic nature of the market. Such systems are based on pure math and able to make a profit on any instrument and time period. The profit is not big but stable. I have been dealing with such systems lately. This group also involves brute force-based robots.

The brute force can be performed using additional software. In the next article, I will show my version of such a program. The top niche is occupied by robots based on neural networks and similar software. These robots show very different results and feature the highest level of sophistication since the neural network is a prototype of AI.

If a neural network has been properly developed and trained, it is able to show the highest efficiency unmatched by any other strategy.

As for arbitration, in my opinion, its possibilities are now almost equal to zero. I have the appropriate EAs yielding no results. Someone trades on markets out of excitement, someone looks for easy and quick money, while someone wants to study market processes via equations and theories. Besides, there are traders simply having no other choice since there is no way back for them. I mostly belong to the latter category.

With all my knowledge and experience, I currently don't have a profitable stable account. I have EAs showing good test runs but everything is not as easy as it seems. Those striving to get rich quickly will most probably face the opposite result. After all, the market is not created for a common trader to win. It has quite the opposite objective. However, if you are brave enough to venture into the topic, then make sure you have plenty of time and patience. The result will not be quick.

If you have no programming skills, then you have practically no chance at all. I've seen a lot of pseudo traders bragging about some results after having traded deals. In my case, after I develop a decent EA, it may work one or two years but then it inevitably fails In many cases, it does not work from the start. Of course, there is such thing as manual trading, but I believe it is more akin to art. All in all, it is possible to make money on the market, but you will spend a lot of time.

Personally, I don't think it is worth it. From the mathematical perspective, the market is just a boring two-dimensional curve.

I certainly do not want to look at candles my entire life. I believe that the Grail is more than possible. I have relatively simple EAs proving it.

Unfortunately, their expected payoff barely covers the spread. I think almost every developer has strategies confirming this. The Market has plenty of robots that can be called Grails in all respects. But making money with such systems is extremely difficult as you need to fight for each pip, as well as enable spread return and partnership programs.

Grails featuring considerable profits and low deposit loads are rare. If you want to develop a Grail on your own, then it is better to look towards neural networks.

They have much potential in terms of profit. Of course, you can try to combine various exotic approaches and brute force, bit I recommend delving into neural networks right away. Oddly enough, the answer to the questions of whether a Grail exists and where to look for one is quite simple and obvious to me after tons of EAs I have developed.

The first point is the most important here. If you have a profitable strategy regardless of whether it is manual or algorithmic , you will always want to intervene. This should not be allowed. Situations, in which profitable deals are less numerous than losing ones, exert a considerable psychological impact ruining a trading system.

Most importantly, do not rush to win back your losses when you are in the red. Otherwise, you may find yourself with even more losses. Remember about an expected payoff. It does not matter what the current position's equity loss is. The next important thing is a lot size you apply in your trading. If you are currently in profit, make sure to gradually reduce the lot.

Otherwise, increase it. However, it should be increased only up to a certain threshold value. This is a forward and reverse martingale.

If you think carefully, you can develop your own EA based purely on lot variations. This will no longer be a grid or martingale, but something more complex and safe. Besides, such an EA may work on all currency pairs throughout the history of quotes. This principle works even in a chaotic market, and it does not matter where and how you enter. With proper use, you will compensate for all spreads and commissions, and with masterful use, you will come out with a profit even if you enter the market at a random point and in a random direction.

To reduce losses and increase profits, try to buy on a negative half-wave and sell on a positive half-wave. A half-way usually indicates the previous activity of buyers or sellers in the current market area, which in turn means that some of them have been market ones, while open positions will close sooner or later pushing the price in the opposite direction.

That is why the market has a wave structure. We can see these waves everywhere. A purchase is followed by a selling and vice versa.

Also close your positions using the same criterion. Everyone's perspective is subjective. In the end, it all depends on you, one way or another. Despite all the disadvantages and wasted time, everyone wants to create their own super system and reap the fruits of their determination. Otherwise, I do not see the point of delving into Forex trading at all. This activity somehow remains attractive to many traders including myself. Everyone knows how this feeling is called, but it will sound childish.

Therefore, I will not name it to avoid trolling. Translated from Russian by MetaQuotes Ltd. You agree to website policy and terms of use. MetaTrader 5 Examples Indicators Experts Tester Trading Trading systems Integration Indicators Expert Advisors Machine learning Statistics and analysis Interviews MetaTrader 4 Examples Indicators Experts Tester Trading Trading systems Integration Indicators Expert Advisors Statistics and analysis.

Do you like the article? Share it with others — post a link to it! Use new possibilities of MetaTrader 5. Similar articles Data Science and Machine Learning Part 09 : The K-Nearest Neighbors Algorithm KNN Developing a trading Expert Advisor from scratch Part 29 : The talking platform How to deal with lines using MQL5 Neural networks made easy Part 26 : Reinforcement Learning Developing a trading Expert Advisor from scratch Part 28 : Towards the future III. Introduction I am a developer of automatic strategies and software with over 5 years of experience.

Why is it so challenging to find entry and exit points? Market mechanisms and levels Let me tell you a little about pricing and powers that make the market price move. Mathematical description of the market What we see in the MetaTrader window is a discrete function of the t argument, where t is time. To introduce the concept of the expected payoff, we first need to consider the terms 'event' and 'exhaustive events': C1 event — Profit, it is equal to tp C2 event — Loss, it is equal to sl P1 — C1 event probability P2 — C2 event probability С1 and С2 events form an exhaustive group of antithetic events i.

M4 — expected payoff when closing by a signal. P1 , P2 — probabilities of stop levels activation provided that one of the stop levels is triggered in any case. P0[i] — probability of closing a deal with the profit of pr[i] provided that it has not triggered stop levels.

i — closing option number P01[j] — probability of closing a deal with the loss of ls[j] provided that it has not triggered stop levels. j — closing option number In other words, we have two antithetic events. PS[k] — probability of setting k th stop level option. MS[k] — expected payoff of closed deals with k th stop levels.

M3[k] — expected payoff when closing by a stop order with k th stop levels. M4 [k] — expected payoff when closing by a signal with k th stop levels. P1 [k] , P2 [k] — probabilities of stop levels activation provided that one of the stop levels is triggered in any case. P0[i] [k] — probability of closing a deal with pr[i] [k] profit, according to a signal with k th stop levels. i — closing option number P01[j] [k] — probability of closing a deal with ls[j] [k] loss, according to a signal with k th stop levels.

MSp[k] — expected payoff of closed deals with k th stop levels. MSl[k] — expected payoff of closed deals with k th stop levels. M3p[k] — expected payoff when closing by a stop order with k th stop levels. M4p [k] — expected payoff when closing by a signal with k th stop levels.

The advantages of each component of the pipeline—namely, the effectiveness and performance of the grid algorithms, the capability of contemporary machine learning tools, and the high liquidity of the FOREX market—are therefore combined in this review innovative and profitable grid trading system for the FOREX market, as was mentioned in the previous section.

The authors provided an overview of the planned pipeline in Figure 1. The suggested strategy was put into practice and created for high frequency trading HFT. The Tickstory Database, which exports historical data with a The following sections will go into more depth about each block that is mentioned in Figure 1.

The Forex Mathematical Strategy EA works with any broker and any type of account, but we recommend our clients to use one of the top forex brokers listed below: I. Gold, EURUSD and EURGBP. EA is claimed to have artificial intelligence. Please test it on demo first! We highly recommend trying the Forex Mathematical Strategy EA for at least a week with ICMarket demo account.

Also, familiarize yourself with and understand how this system works before using it on a live account. Get Free Access. Do not change these fields following. July 17, Posted by: Forex Wiki Team Category: Free Forex EA 11 Comments. This Content Is Only To Registered Users Please Login To Unlock The Content! Lost your password? Please rate this Article. Forex Mathematical Strategy EA MT4 — Free Download Version Update Contents 1 Forex Mathematical Strategy EA Review 2 Best Brokers List 3 Forex Mathematical Strategy EA Setting 4 Forex Mathematical Strategy EA Backtest 5 Forex Mathematical Strategy EA Free Download Forex Mathematical Strategy EA Review The advantages of each component of the pipeline—namely, the effectiveness and performance of the grid algorithms, the capability of contemporary.

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Here all is simple but there are much more arrays since the graph is not always mirrored relative to the vertical axis. A separate group is formed by exotic systems with mysterious, unconventional algorithms attempting to profit on the chaotic nature of the market. Oddly enough, the answer to the questions of whether a Grail exists and where to look for one is quite simple and obvious to me after tons of EAs I have developed. They usually appear at important price points, such as an opening of a day or a week. Unfortunately, their expected payoff barely covers the spread. P0[i] [k] — probability of closing a deal with pr[i] [k] profit, according to a signal with k th stop levels. In the end, it all depends on you, one way or another.

We highly recommend trying the Forex Mathematical Strategy EA for at least a week with ICMarket demo account. In particular,