Grid Master EA Version 1.30 by Fox Wave is an automated system utilizing a bidirectional grid strategy. It generates pending orders both above and below current market prices, aiming to profit from market fluctuations. The system features bidirectional trading, using both stop and limit orders, and includes trailing stop and breakeven functions for managing positions. Designed for continuous 24/7 trading, it includes an optional time filter and real-time grid health monitoring for performance analysis. Risk management is strengthened through fixed lot sizing and volume validation, with detailed logging available for strategy optimization. The symmetrical grid of pending orders automatically refreshes as needed, supported by trailing stops and breakeven options. It's most effective in ranging markets and pairs like BTC/USD, ETH/USD, as well as forex pairs w...

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A recently developed library offers robust control for managing trading sessions. It initializes by calculating session times for all seven days, accommodating up to 10 daily sessions. This infrastructure supports assets like cryptocurrencies that trade on weekends. Within OnTick(), checks can efficiently terminate processing if a tick is outside the defined trading session.

This library emerged from a specific project need and has been refined for broader usability. It employs modern MQL5 functions to determine trading sessions, including weekends, ensuring swift execution with minimal checks during active sessions. This optimization focuses on maintaining speed, accessing session arrays only during transitions.

Users have the flexibility to manually define session times via input settings or directly in the code through the LoadFromInputs() feature. T...

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Global variables play a crucial role in managing time shifts for brokers during different periods, such as daylight saving time changes. Instead of relying on support from brokers, which might offer insufficient explanations, we use a program to monitor how time changes impact price timing. Variables such as DST_USD and DST_EUR hold the time shifts for the USA and EU, updating as necessary.

When calculating broker offsets for summer, winter, and intermediate periods, the program also determines the next time changeover. This structure ensures efficient CPU usage by recalculating offsets only when needed.

Functions like nextDST and chckFriday automate the process, ensuring precise broker time calculations. This approach provides users with reliable time management, enhancing strategy testing and chart analysis. In conclusion, effective time calculation is v...

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#MQL5 #MT5 #Offset

A straightforward strategy defines this Expert Advisor. It identifies the minimum and maximum prices over a user-specified number of bars. The EA triggers an immediate position when current Ask or Bid prices match these limits. It maintains a single position at any time, either long or short. Users configure it using just one parameter: "Number of bars to analyze the price movement". By adjusting this parameter, traders can customize how the EA reacts to market conditions, optimizing entry points based on historical price movement observed within the chosen bar count. This setup can suit those seeking simplicity and direct market interaction.

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A mathematical approach to fractals reveals essential principles for model building. The article outlines developing an initial formula for fractals, suggesting that fractal-related values can be represented by a mathematical model applied in algorithmic trading systems. It describes symmetric and asymmetric corridors, highlighting the average step calculation for each. Symmetry simplifies to \(S=n^2\), while asymmetry involves distinct steps in each half of the corridor. A generalized formula for average steps considers probability deviations.

Further refinement of fractal calculations utilizes a prototype power function, allowing testing of mathematical assumptions. Techniques for evaluating function prototypes and verifying results are elaborated upon. Through this structured analysis, a deeper understanding of fractal geometry is achieved, aiding ...

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MetaTrader 5 offers advanced capabilities for algorithmic trading, enhancing your ability to create and test Expert Advisors using MQL5. The platform's strategy tester facilitates comprehensive backtesting with historical data, ensuring accurate performance analysis. With access to fundamental and technical indicators, users can develop and optimize trading strategies to align with specific market conditions. Its multi-threaded environment supports simultaneous strategy analysis across various symbols, streamlining the optimization process. Additionally, MetaTrader 5 provides a robust ecosystem that includes VPS support for efficient 24/7 operations, ensuring continuous execution and monitoring. This integrated approach empowers traders to leverage automated trading efficiently.

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An Expert Advisor was developed solely for testing a specific trading strategy mentioned by a forum member. The primary goal is strategy evaluation, not code quality assessment. The underlying algorithm operates as follows: Pending orders, Buy Stop and Sell Stop, are automatically placed at 15:00 Moscow time, 100 points from the current price. Each order comes with a Stop Loss set at 200 points, while TakeProfit is not employed. If an order is triggered, the other remains active until 16:00, when pending orders are cancelled if not executed. At 16:00, any open positions are closed, irrespective of their profit or loss status. This procedure ensures objectivity in testing the described strategy's profitability.

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Time management is pivotal for algorithmic trading, yet daylight saving and time zone shifts pose significant challenges. Developers crafting MetaTrader 5 strategies cannot rely solely on broker-set time, especially in the strategy tester where function results may prove inconsistent. Key is understanding regional offsets — such as winter/summer time changes — and how brokers define server time. This article outlines efficient macros and functions enabling precise conversion to GMT and local times, even in testing scenarios. By managing these complexities, traders can optimize strategies like night scalping and London breakout, maintaining accuracy and performance across varying global markets.

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A custom tester was developed to address limitations in standard strategy testing methodologies. The main issue identified was reliance on symbol-specific pip values rather than a uniform pip sum, which caused inconsistencies due to variable pip values across different symbols. Furthermore, the dependency on current swap points added variability, especially as brokers offer different swaps and these have fluctuated more recently.

This custom solution organizes testing by pre-filtering results through a set of defined rules. Rule1 modifies the maxDD function according to lot sizes, while rules2 and 3 evaluate trades within the AnalyzeTrades function pre-storage. The system offers an initial code base with customizable JavaScript functions stored in a separate file.

Testing configurations can be adjusted by incorporating OnTick() content from sample sc...

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Efficient input parameter management is crucial in software development, especially in trading system design. Working with input parameters traditionally involves repetitive code prone to errors. This library simplifies those routines by focusing on object-oriented programming (OOP) principles. In the context of a trading advisor, using OOP enhances code readability and integration into complex systems.

When handling input parameters, consider an OOP-alternative approach. It reduces code complexity by encapsulating repetitive tasks and ultimately limiting error probability. This reduction enables more focus on trade logic rather than technical overhead. The library enables storing and retrieving parameter sets as strings, facilitating quick adjustments and clear parameter set visualization.

Additionally, the modular nature of OOP allows hiding repetitive code in...

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Discover how to enhance the functionality of your MetaTrader 5 library classes by integrating a sophisticated graphical object collection mechanism. This concept introduces unique object identifiers and a dynamic system for managing graphical objects, whether created programmatically or manually within the MetaTrader terminal. By refining existing structures and adding new properties, such as object affiliation, developers can track and manage graphical entities with precision. This structured approach not only manages the creation and removal of objects but also establishes a foundation for future expansions, thereby improving the efficiency and reliability of algorithmic trading strategies.

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Concept Builov RSI Pro is a sophisticated automated trading system utilizing the Relative Strength Index (RSI) complemented by additional filters to enhance signal quality and reduce false entries. The strategy foundation includes a smoothed RSI with a configurable period and key levels set at 35 for oversold and 65 for overbought zones.

For buy signals, the RSI crossing above 35 signals potential entry, and sell signals are triggered when RSI crosses below 65. There are optional momentum confirmations for both. Protection systems include a spread filter that blocks trades when the spread exceeds a configurable maximum and a momentum filter requiring a minimum RSI direction change, enhancing signal quality.

Risk management features include a trailing stop to secure profits, fixed lot size, risk percentage settings, and configurable stop loss and take ...

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A newly developed indicator has been created based on specific requests. The design process considered user feedback, ensuring tailored functionality to meet specific needs. This new tool aids in enhancing analytical capabilities and can streamline various technical analysis processes effectively. It aims to provide more accurate insights and assist in better decision-making for users. Users will experience efficient interaction and improved workflow when adopting this indicator. This development illustrates the importance of addressing user-driven requirements within the technical and programming community.

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Discover the potential of fractal functions in trading with our latest insights on MetaTrader 5. This comprehensive overview explores innovative constructions of universal fractals, offering simplified formulas to predict pricing processes. Three types of fractals—symmetrical, asymmetrical, and bordered—enable accelerated trade simulations to evaluate probability and profitability scenarios. The article delves into a robust MQL5 implementation that expertly calculates these fractals, returning a data container filled with all necessary variables. Practical applications include estimating step averages and testing trade outcomes. Ideal for developers and traders seeking advanced tools and techniques to enhance algorithmic strategies.

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#MQL5 #MT5 #Fractals

Bollinger Bands are a useful tool for assessing price volatility through their phases of narrowing and widening. This indicator provides a straightforward visual representation of these patterns. By utilizing iBands data, it calculates colors to depict price movements effectively. Although this approach may seem unconventional, it efficiently highlights changes in volatility. Such insights can assist in identifying potential trading opportunities and understanding market dynamics. Implementing Bollinger Bands in technical analysis can offer a clearer perspective on market trends and price behavior, aiding in more informed decision-making processes.

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Learn how to seamlessly integrate graphical elements into MetaTrader 5 with a focus on enhancing trading tools. By embedding graphical objects within library structures, starting with the bar object, functionality expands to display and interact with data. Implement a management class to handle graphical creation, enabling each object to autonomously generate and control visuals. This integration allows developers to create dynamic, interactive trading platforms. Enhance object visibility with methods for showing and hiding forms, pivotal for user interactivity. Developers gain a versatile graphic component tool, adding a "visual" dimension to trading libraries, offering enhanced usability and intricate data presentations.

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Efficiently navigate timeframes using keyboard hotkeys 1 through 9, excluding the number pad. Assignments are as follows: 1 for M1, 2 for M5, 3 for M15, 4 for M30, 5 for H1, 6 for H4, 7 for D1, 8 for W1, and 9 for MN. This setup optimizes analysis workflow, allowing quick transitions between different time intervals essential for detailed data examination. Such shortcuts enhance productivity, facilitating rapid switching without mouse interaction. Adopting this practice aids in maintaining focus on data trends and patterns without the distraction of manual menu navigation. Ensure consistency in setup across systems for seamless operation in diverse environments.

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The article provides valuable guidance for developers aiming to improve efficiency and quality in coding practices. Key takeaways include the importance of thorough planning, utilizing existing code bases to avoid redundancy, and focusing solely on necessary project components. Developers are encouraged to embrace challenging tasks to enhance skill versatility and maintain good health for sustained productivity. Immediate action on ideas, setting clear deadlines, and understanding personal peak productivity moments are emphasized. Regular self-reflection, objective performance measurement, and exploring resources beyond current work are recommended to refine skills and increase project efficiency. Lastly, optimizing testing procedures is vital for effective project development.

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Introducing Fox Wave Clean - a streamlined order manager EA designed for efficient trade management with a single-click operation. The tool features a straightforward interface with substantial functionality, ideal for traders seeking effective management solutions.

Key capabilities include removing all pending orders with instant effect, supported by a confirmation dialog to ensure user consent and accuracy in order count. For profit and loss management, it provides one-click solutions for closing profitable trades with additional safeguards, as well as an option to close loss positions with a risk warning system.

Equipped with a comprehensive live dashboard, it delivers real-time data on position statistics, pending orders, and profit/loss tracking, all displayed in account currency. The professional-grade dark theme enhances user interaction experienc...

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The transition from chart analysis to automated trading requires a solid understanding of market structures and algorithms. Traders struggle when translating visual observations into precise rules. Identifying swing points visually is intuitive, but automating this for consistent decision-making poses challenges. This is especially true when aiming to eliminate personal bias by relying on objective, testable rules.

Larry Williams' market structure concepts form the core of this automated trading strategy. Using MQL5, an Expert Advisor is developed to interpret market structure data from a custom indicator, making it actionable. Key elements include automating trade execution upon confirmation of swing points, managing risk through structured stop-loss placement, and ensuring trades align with robust market analysis.

All components are designed to ensure effi...

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The Billiards Optimization Algorithm (BOA), introduced by Hadi Givi and Marie Hubálovská in 2023, offers a unique approach to solving optimization problems by drawing inspiration from billiards. It models the search space as a pool table with solutions represented as balls moving towards optimal pockets. The iterative refinement process aims to balance global and local search using a stochastic method.

Implementation details reveal a method influenced by a combination of random and deterministic movement, guided by an equation that adjusts positions based on the proximity to target pockets. The algorithm runs through multiple iterations to refine solutions and approach optimality.

Initial test results suggested room for improvement, particularly in navigating large-dimensional problems or avoiding local minima. Revising the movement equation for...

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