New improvements have been made to the EA trading system, integrating the Rectangle, EMA, and SMA indicators to enhance trading accuracy. EA settings now include a variety of adjustable parameters such as 'magic', 'Commentary', 'EMA Small', 'SMA Big', and 'volumes'.

Additionally, risk management strategies have been further extended and optimized by incorporating features like 'Stop Loss of Day', 'SL Points', and 'TP Points'. Not only does the system accommodate the volatility of the market, but it also protects the capital by setting up effective stop-loss and take-profit points.

The 'Rectangle settings' provide further technological intelligence, allowing individual modification according to specific market conditions or trading strategies. Moreover, a 'Time filter' is a recent addition, catering to highly time-specific trades and accommodating various timing aspects of the market...

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In a bid to broaden knowledge in programming, this particular coverage will bring closure to Behavioral Design Patterns - a crucial topic in software design. Previously evaluated creational and structural designs would find a nexus with behavioral design patterns addressed here. Attention will specifically be directed to Memento, Observer, State, Strategy, and Template Method patterns.

Memento restores an object to an initial state by capturing and externalizing the object's internal state. Observer pattern is utilized to define a one-to-many dependency between objects, such that if one object changes its state, all dependencies are notified and automatically updated.

State, on the other hand, is employed to make an object change its behavior when its internal state changes. Strategy identifies a family of algorithms, encapsulates them, and makes them interchangeable, allowing varia...

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Understanding the technique behind Random Forest Algorithm and its utility in ensemble learning is crucial for every developer. This algorithm works by creating multiple decision trees during training and delivering outputs based on the classification or mean prediction of these individual elements. The focus, however, is not just on one set of data but different subsets. This sporadic introduction of randomness during training leads to enhanced model performance post-training.

This process finds its roots in ensemble learning, where predictions from multiple machine learning models combine to enhance overall learning. Random Forest is one method where predictions from several decision trees help improve the overall predictive capability of a single model. Its key features include ensemble learning, bootstrapping aggregating, feature randomness, and a voting (or averaging) mechanism...

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Insights into advanced MQL5 tools from 'MQL5 Programming for Traders' await. Delve into capabilities critical for setting up programs for MetaTrader 5, including custom financial symbols, an integrated economic calendar, and general-purpose tech tools such as networking databases and cryptography.

Understand the purpose and function of libraries, which offer pre-connected APIs to other MQL programs, alongside the concept and benefits of developing software packages and logically interconnected projects. Discover how integration with software environments like Python enhances compatibility and functionality. Start with a focus on resources that are embeddable files containing multimedia elements, settings from external programs, and complied MQL5 programs.

Learn how the MQL5 development environment allows the integration of application data arrays, images, sounds, and fonts directl...

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Continuing with 'MQL5 Programming for Traders', Part 6 focuses on trading automation. A fundamental understanding of financial instruments and trading account settings is asserted as a necessity, providing the grounding for creating proficient Expert Advisors.

Part 6 delves into the utilization of built-in functions and data structures integral to robot workings, as well as key analyses of Expert Advisor operations whilst in strategy tester mode. Chief among the tools at your disposal as an Expert Advisor developer is the MetaTrader 5 Strategy Tester, which offers a vast array of debugging modes and boasts impressive financial performance evaluation and trading strategy optimization capabilities.

Discussion of visual testing using bars or ticks also forms an important subsection of Part 6 as does the quotation flow and easy testing stance without a visual window. Moreover, a compara...

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Part 5. Creating application programs" is the next section in the MQL5 Programming for Traders series. This section focuses on the profundities of APIs associated with algorithmic trading, like financial data evaluation, chart visualization, automation, and user interactions.

The discussion begins with the primary principles of crafting MQL programs, followed by an examination of event types, attributes, and models in the terminal. It navigates through access to timeseries, chart operations, and graphical object interactions. It also appreciates the principles of forming and applying separate MQL program types.

MetaTrader 5 terminal accommodates five program categories: technical indicators, Expert Advisors (EAs) for automatic or semi-automatic trading, scripts for executing single tasks, services for background operations, and libraries for unique functional modules.

A more detai...

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Following the groundwork laid in prior sections on the MQL5 programming language, it's time to intensify the application part of this series. In the fourth part, we emphasize the practical aspect of proper utilization of built-in functions (MQL5 API) that play a crucial role in actualizing real-world programming scenarios integrating automated trading and data processing.

Array operations, string processing, file interactions, data conversion, and user interaction functions are among the primary subjects to be examined, as they figure prominently in a working MQL5 program. In addition to that, mathematical functions and program environment management warrant serious attention.

MQL5 API stands apart in terms of accessibility. These built-in functions are readily available in the global context (namespace) devoid of conditional constraints along with the absence of necessities for ex...

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Magnify your knowledge in the object-oriented programming world with "Part 3. Object Oriented Programming in MQL5". The concept of objects that form the core of OOP technology, enhances the programming convenience, boosts productivity, and ensures superior software quality. MQL5 tools are utilized skillfully by programmers to define custom types which model these metadata objects and simplify the process of program writing and maintenance.

Take a closer look at the mechanisms to define these new types - classes, structures, and unions. These custom types are a blend of data and algorithms that outline the state and behavior of application objects. In the spotlight is the "divide and conquer" principle, hinting towards the concept of objects as mini-programs, each focused on resolving a small but logically entire task.

Combine these remarkable objects to create a single system, ultim...

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Revealing a segment of MQL5 programming areas, the book uncovers insights into fundamental principles pivotal to the language's operation. MQL5, just like any other paradigm, plants its roots in key cornerstones that form a base for intricate programs. In the textual journey, data types, identifiers, variables, expressions, and operators receive a rich cover for learners.

The formative principles of procedural programming assume prominence, guiding learners to engineer programs following a data process sequence sequentially. The narrative further endeavours to lay sound groundwork before moving towards object-oriented programming (OOP), which receives a comprehensive overview in the upcoming segments of the book.

Highlighting an essential feature of MQL5, identifiers are presented as the linchpin of the programming field. Their role is to enable access to program elements via unique...

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Part one of the upcoming book focuses on "Introduction to MQL5 and development environment". It offers a comprehensive understanding of the MQL5 languages and unfolds the development ecosystem intricacies. The book sets out to make object-oriented programming (OOP), a feature exclusive to MQL5, more accessible to those who find programming daunting.

This publication expands on the MQL5 reference, delving into various facets of MQL5 programming while unpacking all underlying processes meticulously. Developers are given the freedom to select between object-oriented and procedural programming styles, and even meld them if desired.

Those seasoned in programming can readily forgo the basics. For C++ programmers, MQL5 should be more comfortable, albeit attention must be directed towards the languages' differences to prevent slip-ups. MQL5 leads to the genesis of versatile types of appli...

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Efficiency in digital signal processing can be achieved using the Goertzel algorithm. This method is ideal for detecting discrete frequency components, making it suitable for real-time financial time series analysis. In this detailed discussion, practical applications of the algorithm will be demonstrated including how to understand dominant cycles for strategy development.

The Goertzel algorithm is a highly efficient computation method developed by Gerald Goertzel for the calculation of specific terms in the Discrete Fourier Transform (DFT). The primary utility of this technique is in identifying key frequency components in a digital signal. This is particularly advantageous in cases where only limited frequency components are critical.

In comparison to the Fast Fourier Transform (FFT), the Goertzel algorithm requires fewer computations for a limited number of frequency component...

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Analyzing support and resistance levels is pivotal to strategic trading. Primarily, this unique indicator is designed to examine bouncebacks between these levels. It utilizes two input parameters: the period and overlook.

A support level is defined as the recorded lowest low within the last period bars, provided it matches the lowest low of the preceding period+overlook bars. Similarly, a resistance level is recognized as the highest high observed within the previous period bars, provided this value is identical to the highest high of the last period+overlook bars.

When both support and resistance levels are detected and a bounceback transpires (i.e. the price falls within these two levels), these levels are represented graphically on the chart. Note that this principle is not universal - variations may exist between the mql4 and mql5 versions.

In the original Indicator, the intege...

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In a continuation of developing a market simulation system, one area of focus is improving how the system generates a1-minute bar, making the analytical process run more smoothly. This article outlines a solution where additional controls would be integrated to facilitate improved handling of this operation. Though the transformation seems paramount, this is only a tiny fragment of the colossal task of constructing a fully functional system for statistical analyses and chart control.

Planning involves devising controls such as pausing, playing, and selecting a specific time to kick off a study. The biggest challenge is if one wanted to start research from the fifth market hour. In the present scenario, one would need to wait for five replay hours before starting the analysis - a process that would need a restart if the replay had to stop. Hence the article provides a clear direction ...

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Incorporate Martin Gale trading strategies into your developmental toolkit with ease using this provided include file. Fundamental to this package, classes GridStrategy and MartinGaleStrategy, derived from the Strategy class, provide an array of attributes including Startprice, Lots (volume assigned for the strategy), TakeProfit and Stoploss.

While the Strategy class invariably grounds these unique strategies shared attributes, it also contributes an onTick function to be included within an Expert Advisor's OnTick() function.

Operationally, this function manages all strategy components: generating buy and sell signals, executing trades following these cues, as well as closing trades upon reaching set Take Profit or Stop Loss levels. The crucial buy and sell signals branch out from virtual functions rooted within the Strategy class, giving Grid and Martin Gale Strategy class-specif...

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Navigating through the labyrinth of programming concepts might seem difficult for newbies, but comprehending the essence of 'Function' can pave a pathway towards creating highly functional and top-quality software.

Understanding what functions are, the rationale behind using them, and how to effectively utilize them can undeniably be beneficial for any software developer. For instance, taking a small step like learning to write functions with arguments, and then gradually proceeding to function overloading can greatly enhance one's programming skills.

Implementing functions enables methods such as abstracting code, thereby reducing redundancy and promoting reusability. Apart from making the code more readable, functions boost debugging process efficiency, making error detection and resolution considerably easier.

Delving into further contexts like 'call-by-value' and 'call-by-refe...

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Introducing a performance-boosting tool for traders: an advanced indicator that quantifies market noise with precision. Traders can now have a clearer distinction between periods of high and low volatility, thanks to its straightforward graphical representation.

A visual representation minimizes room for subjective interpretation and aids swift decision-making. Not only does this result in a smoother trading process, but also paves the way for the implementation of diverse trading strategies.

Standout features don't end there. This tool promises a new degree of accuracy and objectivity. Volatility, a key parameter in trading, can now be understood and integrated into the trading process more effectively. Take advantage of this tool, apprehend market noise like never before and enhance the quality of trading decisions.

A step towards technical sophistication, this innovative indica...

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The crux of effective trading ventures lies in the potential astuteness within the binary of category theory and order theory. Offering insights, the previous article discussed the implementation of this theoretical union in MQL5 and elaborated on how these concepts fuel a trading system. The focus rested primarily on partial and linear orders, both concepts lending interesting perspectives to set ranking methods.

A powerful stride in syncing category theory with database schemas is the classification of calendar events. These preordained events, marked months in advance, spotlight indicators for an array of economies, including China, the US, Japan, Germany, EU, UK, South Korea, Singapore, Switzerland, Canada, New Zealand, Australia, and Brazil. Varied in their format, these indicators usually present numeric values such as forecast, actual, and previous values, but often feature co...

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A new ONNX script is available to aid machine learning model creation. This script offers the user an ability to select the ONNX model file seamlessly, followed by a prompt indicating model processing. Information from the input and output tensors in the model is carefully harnessed and displayed for user convenience, making the debugging process hassle-free.

If an error occurs during ONNX session creation, a prompt is displayed to facilitate immediate rectification. Additionally, the script enables the inspection of ONNX models' structure, transforming the understanding of input and output tensors, their names, and properties.

Such insight is critical in facilitating a deeper understanding of machine learning model structures, especially in ONNX models, which has significant ramifications in machine learning applications. Therefore, it simplifies the muddling task of debugging an...

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Reflecting upon the previous discourse "Developing a Replay System — Market simulation (Part 01): First experiments (I)", the concept of creating an event system for generating an adequate market simulation presented certain limitations. Notably, the 10-millisecond mark seemed unreachable, significantly impacting the system's effectiveness. Studying the related attachments elucidates this point, revealing that even the 10-millisecond range might not be sufficient.

Efforts to attain a 1- or 2-millisecond execution timeframe confronted inherent operational barriers. The operating system's timer is incapable of reaching these values, thereby creating a significant impediment. Despite this, the existing system still affords a number of computational possibilities that can be exploited.

Attempting to attribute the failure to reach the 1-minute mark to modern processor limitations reveal...

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Software developers targeting the application of the revered Martin Gale strategy in trading systems can cash in on this advanced library without any hitches. The 'include file' extends two essential classes - GridStrategy and MartinGaleStrategy - from the base Strategy class.

Key attributes to note include 'Startprice', 'Lots' (the volume on offer for the tactics), 'TakeProfit', and 'Stoploss' (given in financial terms). The Grid and Martin Gale strategies are inherently distinguished, but retain the fundamental characteristics tied to the Strategy class.

Attention must be drawn to a consequential function - the 'onTick' routine, a property of the Strategy class. It is to be activated within the realm of the OnTick() function in an Expert Advisor. This function plays a pivotal role, dealing with every facet of the strategy. This stretches from churning out buy and sell indicators,...

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