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A New Approach to Interpreting Classic and Hidden Divergence
A New Approach to Interpreting Classic and Hidden Divergence
The article considers the classic method for divergence construction and provides an additional divergence interpretation method. A trading strategy was developed based on this new interpretation method. This strategy is also described in the article.
Library for easy and quick development of MetaTrader programs (part XI). Compatibility with MQL4 - Position closure events
Library for easy and quick development of MetaTrader programs (part XI). Compatibility with MQL4 - Position closure events
We continue the development of a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the tenth part, we resumed our work on the library compatibility with MQL4 and defined the events of opening positions and activating pending orders. In this article, we will define the events of closing positions and get rid of the unused order properties.
Developing a cross-platform grider EA (part III): Correction-based grid with martingale
Developing a cross-platform grider EA (part III): Correction-based grid with martingale
In this article, we will make an attempt to develop the best possible grid-based EA. As usual, this will be a cross-platform EA capable of working both with MetaTrader 4 and MetaTrader 5. The first EA was good enough, except that it could not make a profit over a long period of time. The second EA could work at intervals of more than several years. Unfortunately, it was unable to yield more than 50% of profit per year with a maximum drawdown of less than 50%.
Library for easy and quick development of MetaTrader programs (part VIII): Order and position modification events
Library for easy and quick development of MetaTrader programs (part VIII): Order and position modification events
In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the seventh part, we added tracking StopLimit orders activation and prepared the functionality for tracking other events involving orders and positions. In this article, we will develop the class for tracking order and position modification events.
Evaluating the ability of Fractal index and Hurst exponent to predict financial time series
Evaluating the ability of Fractal index and Hurst exponent to predict financial time series
Studies related to search for the fractal behavior of financial data suggest that behind the seemingly chaotic behavior of economic time series there are hidden stable mechanisms of participants' collective behavior. These mechanisms can lead to the emergence of price dynamics on the exchange, which can define and describe specific properties of price series. When applied to trading, one could benefit from the indicators which can efficiently and reliably estimate the fractal parameters in the scale and time frame, which are relevant in practice.
Library for easy and quick development of MetaTrader programs (part VII): StopLimit order activation events, preparing the functionality for order and position modification events
Library for easy and quick development of MetaTrader programs (part VII): StopLimit order activation events, preparing the functionality for order and position modification events
In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the sixth part, we trained the library to work with positions on netting accounts. Here we will implement tracking StopLimit orders activation and prepare the functionality to track order and position modification events.
Library for easy and quick development of MetaTrader programs (part VI): Netting account events
Library for easy and quick development of MetaTrader programs (part VI): Netting account events
In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the fifth part of the article series, we created trading event classes and the event collection, from which the events are sent to the base object of the Engine library and the control program chart. In this part, we will let the library to work on netting accounts.
Library for easy and quick development of MetaTrader programs (part V): Classes and collection of trading events, sending events to the program
Library for easy and quick development of MetaTrader programs (part V): Classes and collection of trading events, sending events to the program
In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the fourth part, we tested tracking trading events on the account. In this article, we will develop trading event classes and place them to the event collections. From there, they will be sent to the base object of the Engine library and the control program chart.
Developing a cross-platform grider EA
Developing a cross-platform grider EA
In this article, we will learn how to create Expert Advisors (EAs) working both in MetaTrader 4 and MetaTrader 5. To do this, we are going to develop an EA constructing order grids. Griders are EAs that place several limit orders above the current price and the same number of limit orders below it simultaneously.
Library for easy and quick development of MetaTrader programs (part IV): Trading events
Library for easy and quick development of MetaTrader programs (part IV): Trading events
In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. We already have collections of historical orders and deals, market orders and positions, as well as the class for convenient selection and sorting of orders. In this part, we will continue the development of the base object and teach the Engine Library to track trading events on the account.
Library for easy and quick development of MetaTrader programs (part II). Collection of historical orders and deals
Library for easy and quick development of MetaTrader programs (part II). Collection of historical orders and deals
In the first part, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. We created the COrder abstract object which is a base object for storing data on history orders and deals, as well as on market orders and positions. Now we will develop all the necessary objects for storing account history data in collections.
A DLL for MQL5 in 10 Minutes (Part II): Creating with Visual Studio 2017
A DLL for MQL5 in 10 Minutes (Part II): Creating with Visual Studio 2017
The original basic article has not lost its relevance and thus if you are interested in this topic, be sure to read the first article. However much time has passed since then, so the current Visual Studio 2017 features an updated interface. The MetaTrader 5 platform has also acquired new features. The article provides a description of dll project development stages, as well as DLL setup and interaction with MetaTrader 5 tools.
Library for easy and quick development of MetaTrader programs (part I). Concept, data management and first results
Library for easy and quick development of MetaTrader programs (part I). Concept, data management and first results
While analyzing a huge number of trading strategies, orders for development of applications for MetaTrader 5 and MetaTrader 4 terminals and various MetaTrader websites, I came to the conclusion that all this diversity is based mostly on the same elementary functions, actions and values appearing regularly in different programs. This resulted in DoEasy cross-platform library for easy and quick development of МetaТrader 5 and МetaТrader 4 applications.
Library for easy and quick development of MetaTrader programs (part III). Collection of market orders and positions, search and sorting
Library for easy and quick development of MetaTrader programs (part III). Collection of market orders and positions, search and sorting
In the first part, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. Further on, we implemented the collection of history orders and deals. Our next step is creating a class for a convenient selection and sorting of orders, deals and positions in collection lists. We are going to implement the base library object called Engine and add collection of market orders and positions to the library.
Martingale as the basis for a long-term trading strategy
Martingale as the basis for a long-term trading strategy
In this article we will consider in detail the martingale system. We will review whether this system can be applied in trading and how to use it in order to minimize risks. The main disadvantage of this simple system is the probability of losing the entire deposit. This fact must be taken into account, if you decide to trade using the martingale technique.
Separate optimization of a strategy on trend and flat conditions
Separate optimization of a strategy on trend and flat conditions
The article considers applying the separate optimization method during various market conditions. Separate optimization means defining trading system's optimal parameters by optimizing for an uptrend and downtrend separately. To reduce the effect of false signals and improve profitability, the systems are made flexible, meaning they have some specific set of settings or input data, which is justified because the market behavior is constantly changing.
Applying Monte Carlo method in reinforcement learning
Applying Monte Carlo method in reinforcement learning
In the article, we will apply Reinforcement learning to develop self-learning Expert Advisors. In the previous article, we considered the Random Decision Forest algorithm and wrote a simple self-learning EA based on Reinforcement learning. The main advantages of such an approach (trading algorithm development simplicity and high "training" speed) were outlined. Reinforcement learning (RL) is easily incorporated into any trading EA and speeds up its optimization.
100 best optimization passes (part 1). Developing optimization analyzer
100 best optimization passes (part 1). Developing optimization analyzer
The article dwells on the development of an application for selecting the best optimization passes using several possible options. The application is able to sort out the optimization results by a variety of factors. Optimization passes are always written to a database, therefore you can always select new robot parameters without re-optimization. Besides, you are able to see all optimization passes on a single chart, calculate parametric VaR ratios and build the graph of the normal distribution of passes and trading results of a certain ratio set. Besides, the graphs of some calculated ratios are built dynamically beginning with the optimization start (or from a selected date to another selected date).
Reversing: Reducing maximum drawdown and testing other markets
Reversing: Reducing maximum drawdown and testing other markets
In this article, we continue to dwell on reversing techniques. We will try to reduce the maximum balance drawdown till an acceptable level for the instruments considered earlier. We will see if the measures will reduce the profit. We will also check how the reversing method performs on other markets, including stock, commodity, index, ETF and agricultural markets. Attention, the article contains a lot of images!
Reversal patterns: Testing the Head and Shoulders pattern
Reversal patterns: Testing the Head and Shoulders pattern
This article is a follow-up to the previous one called "Reversal patterns: Testing the Double top/bottom pattern". Now we will have a look at another well-known reversal pattern called Head and Shoulders, compare the trading efficiency of the two patterns and make an attempt to combine them into a single trading system.
Reversal patterns: Testing the Double top/bottom pattern
Reversal patterns: Testing the Double top/bottom pattern
Traders often look for trend reversal points since the price has the greatest potential for movement at the very beginning of a newly formed trend. Consequently, various reversal patterns are considered in the technical analysis. The Double top/bottom is one of the most well-known and frequently used ones. The article proposes the method of the pattern programmatic detection. It also tests the pattern's profitability on history data.
Gap - a profitable strategy or 50/50?
Gap - a profitable strategy or 50/50?
The article dwells on gaps — significant differences between a close price of a previous timeframe and an open price of the next one, as well as on forecasting a daily bar direction. Applying the GetOpenFileName function by the system DLL is considered as well.
Reversing: The holy grail or a dangerous delusion?
Reversing: The holy grail or a dangerous delusion?
In this article, we will study the reverse martingale technique and will try to understand whether it is worth using, as well as whether it can help improve your trading strategy. We will create an Expert Advisor to operate on historic data and to check what indicators are best suitable for the reversing technique. We will also check whether it can be used without any indicator as an independent trading system. In addition, we will check if reversing can turn a loss-making trading system into a profitable one.
Using indicators for optimizing Expert Advisors in real time
Using indicators for optimizing Expert Advisors in real time
Efficiency of any trading robot depends on the correct selection of its parameters (optimization). However, parameters that are considered optimal for one time interval may not retain their effectiveness in another period of trading history. Besides, EAs showing profit during tests turn out to be loss-making in real time. The issue of continuous optimization comes to the fore here. When facing plenty of routine work, humans always look for ways to automate it. In this article, I propose a non-standard approach to solving this issue.
MQL5 Cookbook: Getting properties of an open hedge position
MQL5 Cookbook: Getting properties of an open hedge position
MetaTrader 5 is a multi-asset platform. Moreover, it supports different position management systems. Such opportunities provide significantly expanded options for the implementation and formalization of trading ideas. In this article, we discuss methods of handling and accounting of position properties in the hedging mode. The article features a derived class, as well as examples showing how to get and process the properties of a hedge position.
Combining trend and flat strategies
Combining trend and flat strategies
There are numerous trading strategies out there. Some of them look for a trend, while others define ranges of price fluctuations to trade within them. Is it possible to combine these two approaches to increase profitability?
50,000 completed orders in the MQL5.com Freelance service
50,000 completed orders in the MQL5.com Freelance service
Members of the official MetaTrader Freelance service have completed more than 50,000 orders as at October 2018. This is the world's largest Freelance site for MQL programmers: more than a thousand developers, dozens of new orders daily and 7 languages localization.
Comparative analysis of 10 flat trading strategies
Comparative analysis of 10 flat trading strategies
The article explores the advantages and disadvantages of trading in flat periods. The ten strategies created and tested within this article are based on the tracking of price movements inside a channel. Each strategy is provided with a filtering mechanism, which is aimed at avoiding false market entry signals.
Visual strategy builder. Creating trading robots without programming
Visual strategy builder. Creating trading robots without programming
This article presents a visual strategy builder. It is shown how any user can create trading robots and utilities without programming. Created Expert Advisors are fully functional and can be tested in the strategy tester, optimized in the cloud or executed live on real time charts.
Random Decision Forest in Reinforcement learning
Random Decision Forest in Reinforcement learning
Random Forest (RF) with the use of bagging is one of the most powerful machine learning methods, which is slightly inferior to gradient boosting. This article attempts to develop a self-learning trading system that makes decisions based on the experience gained from interaction with the market.