The indicator offers several customizable features for market analysis. It displays the moving Last Price directly on the Bid Line, providing real-time pricing data. Users can also monitor daily percentage changes for better market insights. Time display is flexible, with options to set it to Local, GMT, or the current time zone, suited for individual preferences. The visual representation is enhanced by allowing users to set distinct colors for Bear and Bull states, facilitating quicker trend recognition. Additionally, it includes a countdown timer showing the time left on the last closing candle, aiding in time-sensitive decisions. The ability to select the font enhances readability. This tool is designed for a tailored trading experience.

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An Expert Advisor (EA) in MetaTrader automates trading by executing trades based on pre-set conditions. To create a simple EA: open MetaEditor by clicking F4 in MetaTrader, navigate to "File/New/Expert Advisor (template)," name the template "SimpleExpertAdvisor," and finalize it. This generated EA is devoid of trading logic but can be enhanced as required.

Functions in MQL5 such as "OnInit," "OnDeinit," and "OnTick" manage EA lifecycle events. "OnInit" initializes the EA, "OnDeinit" handles cleanup, and "OnTick" executes code whenever the market price updates.

Strategy Tester in MetaTrader backtests EAs using historical data, assisting in the evaluation of EA profitability. Users select a currency pair, set up a test period, and check EA performance under different conditions.

Understanding data types ("string," "double," "datetime," "integer," "bool") ...

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Enhancing trading strategies requires careful consideration of risk management tools like Trailing Stops, which secure profits during reverse market fluctuations. Setting a Trailing Stop prematurely can result in losses due to the spread. The Trailing Star tool addresses this by activating the Trailing Stop only when specific conditions are met. It triggers the Trailing Stop once a predefined price or point entry is reached, aligning with profitable market conditions. This approach allows traders to optimize their strategies without constant oversight, providing flexibility in dynamic environments. Further exploration of such tools is available for those seeking to refine their trading techniques.

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Vector Autoregression (VAR) models are crucial for analyzing time series data involving multiple variables. Unlike ARIMA, which focuses on univariate series, VAR models capture the relationships among several time series by considering their interdependencies. These models were introduced by Clive Granger in the 1960s and have since become significant in econometrics.

The key feature of VAR is its ability to model each variable as a function of its lagged values and those of other variables. This multivariate approach is beneficial in systems where variables influence each other. Implementation in Python involves ensuring data meets assumptions like linearity, stationarity, and no multicollinearity.

When applying VAR to financial data, particularly OHLC values, ensuring data stationarity is paramount. This typically requires differencing to stabilize me...

👉 Read | AlgoBook | @mql5dev

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The indicator is compatible with all symbols, functioning effectively across multiple time frames. It utilizes color-coded signals to clearly represent the prevailing market trend, distinguishing upward from downward movements. Users can customize several settings including time-frame, moving average (MA) period, shift, method, and price type for tailored analysis.

An example demonstrates the application of three MA lines over 5, 10, and 15-minute intervals displayed on a 5-minute chart. It's important to note that while the indicator plots the MA line, it does not display Heiken-Ashi candles. However, it computes Heiken-Ashi candle data, and the CalculateHeikenAshi function can be modified for new OHLC calculations.

Heiken-Ashi smoothed calculations deliver a robust trend-following tool, advantageous for swing trading and entry filtering. Alternativ...

👉 Read | Signals | @mql5dev

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An advanced indicator offers key configuration features for precise candle analysis. Users can define the SelectedWeek parameter to specify which week's candles are numbered. When set to 0, all candles are included, while a non-zero value limits it to the chosen week. The NumberFirstCandle option dictates whether numbering begins at the day's first or last candle. Dynamic filtering ensures only candles from the designated week are evaluated.

Text positioning is adaptive, placing numbers above bullish candles and below bearish ones, with spacing adjusted via the PriceOffsetFactor. Visual elements like color, font, text size, and anchor type can be tailored for clarity. The indicator maintains efficiency by deleting obsolete chart objects before anything new is created, minimizing resource usage. Input parameters allow customization in text position,...

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Dive into the intricacies of the Atomic Orbital Search (AOS) algorithm, inspired by quantum mechanics principles. This metaheuristic method models optimization processes akin to electron wave functions around atomic nuclei, offering dynamic adaptability to changing environments. With an innovative approach to probability distributions and interaction dynamics, AOS efficiently explores solution spaces. Developers can leverage AOS for both minimization and maximization problems. The algorithm, through structures and classes, simulates atoms as layers, and candidate solutions as electrons, setting a paradigm shift in algorithmic problem solving rooted in quantum theory. Ideal for traders and developers seeking robust, adaptable solutions.

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Huawei users with HarmonyOS NEXT can utilize MetaTrader 5 and MetaTrader 4, courtesy of DroiTong, a compatibility tool found in Huawei AppGallery. DroiTong enables Android app functionality on HarmonyOS NEXT, streamlining the availability of essential MetaQuotes applications.

Step-by-step instructions detail the installation process: download DroiTong from the Huawei AppGallery, acquire the necessary APKs like MetaTrader or Tradays, and utilize DroiTong to execute the installation.

To update, download the latest APK and follow the same steps, ensuring settings and data remain intact. Note that Push Notifications aren't supported. DroiTong facilitates seamless integration of financial tools on HarmonyOS NEXT.

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Developing an Order Block Indicator requires understanding Smart Money Concepts. Order Blocks are critical zones on a chart where large market orders are distributed to avoid significant price shifts. Key in interpreting these areas is identifying candlestick patterns indicating imbalances in supply and demand.

Start with understanding price action. Four consecutive bullish or bearish candlesticks set the stage: the first indicates imbalance, and subsequent ones confirm it. On the intermediate level, incorporate volume indicators. A significant volume increase over 2-3 candlesticks or a spike in a key candlestick can validate an Order Block.

Configure indicator inputs to customize colors, rectangle options, and order block search range. Implement structures in your code to manage order block data efficiently. Initialize variables to store candle t...

👉 Read | Freelance | @mql5dev

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A dynamic and colored histogram transforms market analysis by adjusting colors based on key market conditions: MACD crossing the signal line, zero line movements, and trend strength/direction. Customization is emphasized, offering real-time sound alerts for critical MACD events with flexible sound settings, repetition limits, and pause durations between alerts.

The tool employs an intuitive color palette, enhancing quick interpretation of MACD states. Customization extends to adjusting moving average periods and price inputs, tailoring the indicator to your needs. The user-friendly interface simplifies setup, making it accessible for beginners.

Functionality involves calculating MACD and signal line differences, with color-coded histograms indicating crossovers and momentum shifts. Alerts announce pivotal events like line crossings. Benefits include ...

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Proper implementation of replay and simulator systems utilizing MQL5 requires understanding advanced concepts like dynamic handle management and inter-function dependencies. Previous articles outlined theoretical foundations and initial code structures, but practical application demands further insight into these mechanisms.

In control indicators, discrepancies arose due to the unexpected persistence of the _LastError variable despite efforts to reset it. This situation suggests possible inter-chart leakage of information or unanticipated behavior in the MetaTrader 5 environment. Such issues necessitate a refined error-handling approach, ensuring only specific user-defined errors lead to indicator removal.

Dynamic handle management in services differentiates them from Expert Advisors and indicators, as services do not attach to charts. Static handle...

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Simple moving averages are traditionally calculated using loops to sum up prices over a set period before dividing by the number of periods. While efficient for single instances, loop-based calculations can cause performance bottlenecks when scaling up. This latency can affect algorithmic efficiency, particularly in systems requiring multiple calculations. An alternative method is proposed that eliminates the need for loops in calculating the simple moving average. By optimizing the calculation process, performance can be significantly improved, allowing for faster, more responsive applications. Exploring loop-less implementations can be a worthwhile consideration for enhancing algorithm efficiency.

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Discover how to seamlessly integrate MetaTrader 5 with Discord using MQL5, enabling effortless communication between platforms. This article outlines the creation of a Discord Webhook, sending JSON-formatted messages, and using a custom class to simplify repetitive tasks. Learn how to include user and role mentions, utilize markdown for formatting, and manage bot identities for personalized messaging. Expand your trading toolkit by sending trade notifications from MetaTrader 5 directly to Discord, with options for embeds and image links. While webhooks have limitations, this integration provides a robust foundation for enhancing trader interactions and automated communications.

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In the first article of a new series on MetaTrader 5, we delve into the "timestamp trap," a critical oversight in algorithmic trading that can lead to data leakage and unreliable models. We highlight how standard time-bars may inaccurately timestamp data, offering unfair advantages during model training. Instead, tick-bars, which form only after specific market activities, are recommended for data integrity. By using tick-bar construction, developers can ensure unbiased datasets, vital for accurate backtesting and trustworthy trading algorithms. The article provides practical code implementations for data extraction and cleaning, setting the stage for subsequent parts on feature engineering and model validation.

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Efficient backtesting is essential for developing machine learning trading algorithms. Leveraging Python with Numba can substantially enhance a testing framework's performance, especially in high-frequency contexts. Numba, a Just-In-Time compiler, transforms Python code into fast machine code, rivaling C and FORTRAN speeds. Deploying Numba's decorators on Python functions significantly boosts Computational efficiency, particularly when handling loops and complex operations. This article illustrates optimizing a trading strategy tester, resulting in up to a 50x speed increase. Such enhancements enable rapid iteration and optimization of trading parameters, streamlining workflow for developers and traders focusing on algorithmic trading strategies.

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Developing ensemble trading strategies by merging various methodologies offers a path to increased strategy robustness and profitability. Initially, a superclass was created to consolidate different strategies. A moving average crossover strategy was implemented, optimized, and validated using MetaTrader 5. Forward testing helped identify stable parameters.

Subsequently, an RSI-based strategy was introduced, providing a higher Sharpe ratio and profit with fewer trades. Testing showed both class-based and hard-coded RSI strategies performed identically, confirming class implementation. The next step is merging RSI and Moving Average crossover strategies into a cohesive ensemble strategy, minimizing parameters for effective optimization. Using strategies like "Voting Policy," significant performance improvements and increased profitability were seen t...

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The latest versions of the MetaTrader 5 mobile app for iOS introduce a range of new features designed to help traders stay abreast of financial markets wherever they are.

✓ Report representing trading results in a convenient visual format.
✓ ZigZag and Market Profile indicators, as well as a new chart type — Heikin Ashi.
✓ Displaying deal info in the Data Window. These tools will enhance market analysis and trend identification.
✓ Quick mode for displaying the Data Window on a chart. Tap and hold the main chart for over a second to enable the crosshair mode together with the Data Window.
✓ A separate command for resizing and reordering additional indicator windows.
✓ Optimized trading history display on the chart. The application can display thousands of deals without significant performance degradation.

Install the latest app version and unlock extended trading capabilities.

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The RSI-based inverse Fisher Transform, developed by John Ehlers, is designed for clearer trigger point identification in trading strategies. It refines the traditional RSI indicator by centering its values around zero, facilitating more precise decision-making. The inverse Fisher Transform is subsequently applied to these adjusted values, enhancing their interpretability. This method aims to improve signal differentiation by stabilizing the data around a fixed point, providing traders with a more reliable metric for analysis. This adaptation of the RSI seeks to aid in more effective trend analysis and market timing in technical trading.

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A comprehensive overview of our latest advancement in algorithmic trading, focusing on a multi-symbol strategy utilizing Commodity Channel Index (CCI) and Awesome Oscillator (AO) for trend reversals across multiple currency pairs. This strategy, developed in MQL5, features a modular architecture that supports robust trade execution, indicator management, and risk assessment. The system handles signal detection on the M5 timeframe and trend confirmation on H1. Careful design ensures efficient handling of trades with spread checks, and risk management through stop-loss and take-profit settings. Detailed information on backtesting and optimization explores results. The outcome is a scalable trading framework ready for live deployment.

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Logify simplifies logging in Expert Advisors with a new Builder pattern, streamlining the complex configuration process. Instead of manually setting up handlers, formats, and parameters for each EA, developers can use intuitive, chained methods to configure the logging system. The Builder pattern enhances clarity and reduces errors by isolating configuration steps, providing flexibility to create different logging setups efficiently. This update includes specialized builders for various handlers, ensuring modular and clean code. A new default handler ensures immediate functionality, making Logify a plug-and-play solution without sacrificing customization, appealing to both novices and professionals in algorithmic trading.

👉 Read | AlgoBook | @mql5dev

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