In the realm of time-sensitive computing operations, validation of user-defined settings is critical. A function effectively manages this by verifying if user-selected time periods are permissible. It accepts two parameters: "allowedPeriods," an array listing the time intervals approved by the system, and "periodsToCheck," which includes the intervals selected by the user.

The processing involves a straightforward validation loop where each entry in "periodsToCheck" is cross-referenced with "allowedPeriods." Should any period from the user’s selection not be listed in the allowed array, the function terminates and returns "false," signaling an invalid or unauthorized choice. Conversely, a consistent match across all entries results in a return value of "true," confirming all user-selected periods are valid.

This method ensures system integrity and adherence to predefined constrain...

Read more...

In this installment of the series on wizard-assembled Expert Advisors, the focus shifts to the incorporation of economic calendar news into the Expert Advisor during testing. This integration aims to either validate a trading concept or enhance the robustness of a trading system. The discussion primarily harnesses the capabilities of the MQL5 IDE tools.

One pivotal aspect covered is the potential trading edge that economic data can bring to a trading system, emphasizing fundamental analysis over technical approaches. Such economic fundamentals include inflation rates, central bank interest rates, and unemployment rates, among others. These elements are crucial as they often trigger volatility in the markets following news releases, with non-farm payroll data being a prominent example.

Moreover, the article explores the utility of SQLite databases within the MetaEditor IDE, proposing...

Read more...

Understanding Data Management and Basic Programming Concepts in MQL5

In programming, particularly in MQL5, understanding functions, algorithms, and data storage is crucial. Functions perform specific tasks based on predefined steps called statements, which include comparisons, repetitions, or data manipulation. Each function operates within an algorithm, a sequence of instructions to solve more extensive tasks. MQL5 supports programming trading actions varying in approach as the same objective can be achieved with different algorithms.

Data in programming is essential and can range from price values to graphical coordinates or sound playback triggers. Data is stored in Random Access in two forms: variables and constants. Variables can change during program execution, whereas constants remain fixed. Knowing these distinctions helps in optimizing program efficiency and debugging.

Spe...

Read more...

Gradient Boosted Decision Trees (GBDT) are utilized in both regression and classification tasks, employing multiple weak learners—usually decision trees—to form a robust predictive model. Three major implementations of GBDT are XGBoost, LightGBM, and CatBoost, each offering unique advantages. XGBoost is known for its efficiency and scalability, making it a favorable choice for large-scale applications. LightGBM excels in performance and efficiency, particularly suitable for large datasets due to its faster training speeds and lower memory usage. CatBoost, on the other hand, automatically handles categorical features and provides robustness against overfitting.

These techniques collectively enhance machine learning models by sequentially correcting previous errors, leveraging gradient descent to minimize loss, and incorporating regularization to prevent overfitting. Each iteration of ...

Read more...

In a focused effort to enhance the efficiency of social group algorithms, a new approach has been proposed to facilitate sector-based movement and group memory in search spaces. Unlike traditional methods which allow unrestricted traversal, this model enables groups to hop between defined sectors, updating their central coordinates with each iteration. This structure supports the incorporation of individual and collective memory components, significantly refining the search process by utilizing prior knowledge of optimal solutions.

This alteration not only broadens the scope for analyzing social group dynamics but also improves the information exchange and the adaptation mechanism within these groups. Empirical tests are outlined to assess the impact of these innovations on the group's search performance, aiming to provide insights into social system evolution and potential enhanceme...

Read more...

The CLS (ClearScreen) function is designed to enhance chart readability by removing all objects drawn on the chart upon the pressing of the key "C". This provides a convenient approach for users needing to reset their view without manually deleting individual elements, effectively streamlining the user interaction within trading platforms. This feature is particularly useful in environments where quick visualization adjustments are crucial to a trader's decision-making process.

Read more...

The Naïve Bayes classifier is a foundational tool in the machine learning toolkit, leveraging Bayes' theorem to perform classification tasks by assuming feature independence. This simple yet robust model is especially advantageous in contexts where the interrelationships among features are minimal or can be ignored, allowing for rapid decisions based on probabilistic logic.

Primarily utilized in binary and multi-class categorization, the Naïve Bayes classifier is exceptionally effective in text classification scenarios, often exceeding the performance of more complex algorithms. However, its assumption of mutual exclusivity among attributes can sometimes reduce its accuracy, particularly when features are correlated. Moreover, the model struggles with continuous data, typically requiring a preliminary conversion into categorical bins, which may cause loss of information and affect p...

Read more...

The primary direction of a trend in technical analysis can be identified using a line calculated from Japanese candlestick data. When analyzing market movements, this line adjusts according to the prevailing trend: it approaches the high prices of each candle during an uptrend, and moves closer to the low prices in a downtrend. This methodology is particularly useful for constructing various moving averages and serves as a robust foundation for the development of additional technical indicators. Such tools are essential for traders aiming to gauge market dynamics and make informed decisions.

Read more...

Exploring new trading strategies and indicators can significantly enhance your trading approach. This latest article introduces the Bill Williams' Market Facilitation Index (BW MFI), a technical tool designed to measure market direction by analyzing price and volume changes. Understanding this indicator can provide valuable insights into the strength of price movements and potential market reversals.

The article outlines a strategy blueprint for using the BW MFI in combination with other indicators on the MetaTrader 5 platform, employing the MQL5 programming language for system development. It's important to note that these strategies require testing and optimization before live implementation to ensure they align with individual trading styles.

Moreover, it's crucial to apply these strategies in a simulated environment first, as they are intended for educational purposes and come w...

Read more...

Introducing a streamlined script ideal for financial markets, specifically designed for MetaTrader 5 platforms. This compact script, spanning just 1.62 KB, offers a robust solution for tracking the highest trading prices within a specified time frame. It employs a function titled "RangeHighs" which accepts four integer inputs defining the start and end hours and minutes of a trading period.

The functionality begins with the initialization of an 'MqlDateTime' structure to capture the current time. Adjustments are then made to align the date-time values with the provided parameters, formulating the desired time frames for analysis. By leveraging the 'StructToTable' function, these structured times are converted into usable 'datetime' variables.

To capture the trading high within the defined period, an array is prepared and set as a series, followed by the implementation of 'CopyHigh' ...

Read more...

In this discussion on category theory, we continue our series by analyzing the concepts of Limits and Colimits, focusing specifically on Products and Coproductions. These foundational aspects of category theory provide a structured way of understanding composite and joint behaviors in various domains, which is critical in the development of robust trading systems using MQL5.

By applying category theory to financial systems, specifically in trading, developers can design strategies that utilize a more abstract and generalized approach to modeling financial risk. For instance, using the product of domains, such as market indicators, allows trading systems to maintain integral properties of each constituent while assessing overall behavior.

Moreover, our exploration covers how these theoretical constructs translate into practical applications, such as constructing Expert Advisors in MQ...

Read more...

In environments where chart clarity is crucial, removing unwanted objects without having to reload the entire chart is a critical feature. A specialized script can be used for this purpose, effectively clearing the chart by removing all objects. This functionality is analogous to using a "clear" or "cls" command in a programming environment, specifically tailored for chart management.

To implement this functionality, the script should be added to the MQL5/Scripts directory. This location enables the script to be directly applied to the chart, providing a quick and efficient way to maintain a clean graphical interface, essential for accurate analysis and decision-making in fast-paced settings. This script is a product of extensive development and dedication, designed to enhance workflow efficiency in trading platforms.

Read more...

Sell your apps on the Market!

Register as a seller and monetize your trading programs. Publish your product in the Market, set the desired price and sales model, and reach a vast interested audience – your offer will be viewed daily by tens of thousands of visitors!

Our Market's proven system, trusted by sellers and buyers, will protect your applications from piracy and provide a secure payment system.

Become a seller in just 5 minutes: complete a quick registration by providing an ID and taking a selfie.

Register now!

In a recent development, a multi-currency Expert Advisor (EA) utilized dual strategies based on the same trading principles but varying in parameter values. Originally designed to maintain a 10% maximum drawdown, alterations were necessary when merging these strategies to adhere to drawdown constraints. The scenario posed a challenge when scaling to tens or hundreds of strategies, as position sizes could potentially diminish below the broker's minimum requirements, preventing strategy execution.

To address this, the approach shifted from allowing strategies to independently execute trades, to managing positions on a virtual basis initially. Strategies would now simulate trades, indicating volume and position openings as needed, while an overarching system calculates the required total volume, preserving the desired drawdown level.

Key enhancements include the creation of the CAdviso...

Read more...

Understanding the Parameters and Functionalities of Trading Robots

In the realm of automated trading, setting the right parameters is crucial for effective operation. One such parameter is 'Tp' which helps determine the profit goals as a multiplier of the invested amount. For optimal usage, setting Tp between 0.01 to 0.1 is advisable, aiming to strike a balance between risk and return.

The 'SlowMovingAverage' parameter assists in identifying market trends based on specified periods, essential for decision making in trading strategies. Additionally, the 'Multiplier' parameter influences the trading volume by increasing the size of consecutive orders in the grid based on a predefined factor.

For timing strategies, 'TimeFrame', expressed in minutes, helps specify the period for analysis with common settings being either 15 minutes or 60 minutes.

On the functional side, the Expert Ad...

Read more...

In the realm of financial market trading, accurate prediction of asset trajectories is crucial for formulating effective strategies. A recent paper titled "Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction (SSWNP)" introduces a methodology that addresses the prevalent challenge of oversimplified forecasts in financial modeling. The SSWNP method utilizes a dual-module system comprising a Spatial Consistency Module and a Noise Prediction Module to enhance the prediction accuracy of future asset movements.

The Spatial Consistency Module generates two types of trajectory views from historical data: a clean view and a noise-augmented view. This distinction allows the model to bypass the narrow interpretations often seen in traditional training datasets, thereby fostering a richer exploration of potential future scenarios. The Noise Prediction Module further...

Read more...

In the continuation of the "News Trading Made Easy" series, this article integrally employs object-oriented programming (OOP) principles to enhance the functionality of its forex trading tools, focusing on the implementation of inheritance and risk management. The adjustments aim to transform the existing news/calendar database to be more practical by incorporating inheritance to optimize the code reuse and maintainability, promoting a more logical and expandable codebase.

Moreover, the upcoming segments will also address the customization of risk profiles tailored to various risk tolerances, a refinement aimed at providing traders with personalized trading strategies. In the context of practical OOP application, the article introduces the concept of inheritance to structure code hierarchically, facilitating easier management and extension of the existing class functionalities.

Th...

Read more...

Crude oil, an indispensable commodity, is central to various industries, from agriculture to pharmaceuticals. The global oil trade mainly revolves around two benchmark grades: West Texas Intermediate (WTI) and Brent. WTI, extracted predominantly in Texas, is notable for its low sulfur content and ease of refinement due to its lightness and sweetness. Conversely, Brent, sourced from the North Sea, also possesses low sulfur and density, making it desirable for easy refining.

Analyzing and trading these benchmarks involves understanding their pricing dynamics. The price differential, or spread, between Brent and WFI can be indicative of various economic factors. Leveraging machine learning techniques to model and predict this spread could offer significant forecasting advantages. By employing supervised machine learning, traders can develop models that predict future price movements ba...

Read more...

Understanding the key functions of automated trading strategies is central to optimizing performance in financial markets. This system is designed to initiate buy or sell orders based on price action analysis, ensuring decisions are made on real-time market movements. Additionally, the strategy enhances risk management by automatically calculating the optimal lot size for each trade, tailoring investment proportionate to account balance and market conditions.

Further refining trade execution, the system employs an Automatic Trailing Stop adjusted by the Average True Range (ATR), allowing trades to lock in profits while adapting to volatility. This feature is essential for managing the risks associated with price fluctuations and securing potential gains without manual intervention.

The robustness of this automated strategy can be assessed through backtesting, where historical data i...

Read more...

In the dynamic realm of trading technology, developers continue to focus on automation and efficiency. Recent developments have introduced new functions that can significantly simplify the trading process. Key features now include the automatic calculation of lot sizes and the implementation of ATR-based trailing stops, which help in optimizing trade exits based on market volatility.

Furthermore, the integration of volume and moving average indicators into trading algorithms allows for more data-driven decision-making regarding entry and exit points. These technical tools facilitate the identification of market conditions that favor either buying or selling.

For those involved in the development and testing of trading systems, the backbone of such enhancements rests in the robust coding of these functions. The declaration of volume indicators and the design of tick functions are fun...

Read more...

The recent development in automated trading focuses on optimizing the decision-making process by executing trades based on specific price actions. This automation includes calculating the appropriate lot size dynamically and implementing an automatic trailing stop that is adjusted according to the Average True Range (ATR) indicator. These features combine to enhance trade management and risk assessment capabilities.

Additionally, the effectiveness of these functions is verifiable through comprehensive backtesting results, providing insights into the predictive accuracy and reliability of the strategy under historical market conditions.

The core of this automation lies within three main functions: managing trailing stops and position counts, calculating lot sizes accurately, and executing trades via the main tick function. This structured approach allows for meticulous control over t...

Read more...