A fundamental element in currency trading is risk management. The offered MQL5 Expert Advisor (EA) script bears significance by automating this process. Rather than focusing on entry signals or market timings, it emphasizes on safely closing open positions, contingent on a user-defined profit or loss threshold, thereby limiting potential risks.

Two primary external variables integrated into the code are 'RiskPercentage' and 'ProfitPercentage'. The former is used to calculate the maximum permitted loss per trade, which is later compared to the current loss. If the loss reaches the mentioned limit, the trade concludes. Conversely, 'ProfitPercentage' measures the expected profit per trade. When profits touch the defined limit, the trade automatically secures the gain.

Being independent of specific market indicators, this EA is versatile, applicable to any symbol or timeframe. Nonethele...

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Transitioning from a manual strategy to a fully automated Expert Advisor (EA) requires a solid understanding of programming and financial markets. The belief that fully automated EAs could instantly generate profits is misleading.

Every strategy, algorithm, or method designed to turn an automated system into a profitable scheme has already been tested and developed. Some have proven unsuitable, while others have prevailed by incorporating effective risk control mechanisms, earning steady profits over a period.

The process of designing a fully automated EA necessitates a clearly defined set of trading rules. It is pivotal to avoid subjectivity. Teaching a robot, devoid of emotion or bias, requires complete objectivity. The process of setting trading rules will be strictly governed by the chosen model.

The key behind making a system adaptive is through incorporating a level of erro...

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In the dynamic landscape of trading, calculating risk is a fundamental component. A tool which readily provides the risk calculation in the account currency for a specific trading volume of any selected symbol can significantly optimize decision-making processes.

The utility of such a program lies in its ability to operate at diverse time periods, thus offering a broader perspective on the projected risk. Proactively managing exposure has never been more straightforward.

The calculated risk data is dexterously published in the journal found in the Experts tab of the Toolbox. With the information at your fingertips, easy and efficient risk analysis becomes more attainable, enhancing overall trading practices.

In this ever-evolving world of trading technologies, being adept at leveraging the right tools can make the difference between successes and missed opportunities. Remember, fa...

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The drawdown-averaging algorithm, a popular method employed by a wide range of Expert Advisors, exhibits myriad variations and hybrids. Predicated upon the concept of trading against market movement, this practice allows the EA to buy low and sell high.

The rebuy algorithm, as it's commonly referred, draws from a rich pool of strategic subtleties, making it a fertile ground for further examinations. Nuanced assessments of these rebuy systems are key to enhancing their trading efficiency.

Unfortunately, it seems that not every algorithmic and manual trader grasps the gravity of these systems. Without a comprehensive understanding of the methods employed, they risk blowing up their account or getting stuck in a drawdown. Thus, reaching out to and taking advice from experienced practitioners is of paramount importance.

To properly assess rebuy systems, traders must factor in indirec...

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In the rapidly evolving digital landscape, it's crucial to stay on top of emerging trends and technologies. Recently, there has been significant progress made in the field of Artificial Intelligence (AI).

Machine Learning (ML), a subset of AI, is steadily gaining traction across multiple industries. This technology enables computers to learn and interpret data patterns, a task typically assigned to human intelligence.

Python, a versatile programming language, is often preferred for ML because of its simplicity and extensive libraries. Whether it's automating routine tasks, developing complex algorithms, or data analysis, Python offers robust solutions.

However, progressing with Python entails familiarity with its syntax and understanding the foundations of ML. There are various online platforms available where interested individuals can learn Python for ML at their own pace.

Apart...

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Continuing from the previous section on monoids, the discussion now shifts towards their transformative properties. Monoids, by definition, maintain a characteristic of consistency retaining members of their set. Thus, their role in transformation is limited.

Monoid actions are, therefore, the key attributes that allow transformation since the action set doesn't need to subsist within the monoid set. As a result, monoid action outputs can fall outside the monoid set, opening up new opportunities for data manipulation.

To understand further, one can imagine a monoid action 'a' of a monoid M (e, *) on a set S. This can be represented as such: a: M x S --> S ; where m, n, are representatives of the monoid M, and s belongs to the set S. This fundamental understanding aids in demystifying the roles of monoids and their actions.

Transitioning to practical application, the relative import...

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Presenting the MT5 custom indicator, 'wd.Range_BB,' a sophisticated tool designed to exhibit Bollinger Bands with personalized color schemes and line styles on the trading charts. Additionally, this useful gadget calculates the range bandwidth, referring to the difference in pips, between the upper and lower Bollinger Bands.

The one feature that sets 'wd.Range_BB' apart is the diversified Bollinger Bands Settings. These configurations allow users to alter the period, shift, deviation, and applied price for the Bollinger Bands along with modifying the visual elements including color and line style.

Another unique attribute is the capability to 'place range/bandwidth information labels' in a specified sub-window. The location of the labels can be adjusted according to user preference, facilitating placement in the primary chart or subs-window. To enhance user convenience, the label pl...

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Navigating the volatile world of trading can be a challenging task. The importance of efficient money management practices, particularly in maximizing profits and minimizing risks, cannot be overstated. Utilizing calculated rules for resolving optimal transaction volumes can make all the difference.

A successful trading strategy that takes into account stop losses and take profits is viewed as the foundation for good money management. Determining the effectiveness of these strategies over the long term involves mathematical expectation; understanding the potential profitability of each trade can lead to more rational decisions and efficient capital management.

A trader's arsenal should include various money management strategies, ranging from models demonstrating linear to hyperbolic growth. Linear growth, one of the simplest patterns, involves maintaining a consistent position siz...

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As someone with decades of experience in IT and software development, witnessing the evolution of technology is remarkable. From intricate server configurations to agile cloud-based platforms, technology's advance transforms business operations and productivity.

In software engineering, the move towards efficient, high-performing algorithms has eradicated the need for space-consuming servers. The latest paradigms are accelerating development timelines while ensuring cost-effectiveness. Public cloud services are set to surpass traditional data centers in terms of both cost and efficiency.

In the realm of programming, languages continue to evolve to provide developers with a robust and flexible approach. Languages like Python and JavaScript become diversified by their extensive libraries and modules, setting new industry standards. This continuous innovation provides developers with ...

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Understanding the ins and outs of the Donchian Channel indicator is vital for effective trading. Developed by Richard Donchian, this trend-following and lagging indicator is built to identify trends by tracking price movements within a set time period. It is composed of three lines that form a channel containing the price. The Donchian Channel's upper line signifies the highest price recorded within a specific time, while the lower line represents the lowest price in that period. A middle line marks the halfway distance between the upper and lower lines.

The Donchian Channels differs from the Bollinger Bands - the former charts the highest high and the lowest low during a specific period while the latter plots an average of a period of time after factoring in two standard deviations. It plays a crucial role in setting up stop-loss and take-profit levels, potentially reducing the risk...

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Analysing the intricacies involved in the coding language of Python is a task of no small import. This task aids in developing underlying knowledge of data structures, making it imperative amongst skilled developers. With a steady proficiency in this high-level language, a programmer can utilize its potential for building simple to complex functions, improving productivity multifold.

Furthermore, understand the implementation of Python’s Object-Oriented Programming (OOP) aspects, to create clear and efficient code. Knowledge in advanced concepts like decorators and generators further broadens the dimension of one's programming potential.

Yet, it's not Python's semantics and syntax alone that's important. Furnish a deep understanding of how to debug and test Python applications to ensure the robustness of your code. These skills are vital for creating a scalable, maintainable, and ...

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The following post delineates the usage of trend indicators in Expert Advisors (EAs) and how to connect them, emphasizing indicators such as Adaptive Moving Average, Average Directional Movement Index, and Bollinger Bands®, among others. The process includes stages from initializing variables and creating an indicator handle to deinitializing and data retrieval. Each indicator is briefly described, together with their functions, methods of at initialization and deinitialization, data retrieval procedures, and methods of display on the dashboard. There is also instruction given on how to undertake the process of visualizing data on the panel and handling panel events. An understanding of these procedures can enhance the use of trend indicators in EAs while optimizing the benefits of custom programs for each indicator, concluding with a succinct code for connecting and using indicators ...

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In a rapidly evolving field such as programming, keeping up with the latest trends and technologies is crucial. Current industry shifts indicate an increasing preference towards Python due to its simplicity, readability, and versatility. Interestingly, it's not only being utilized for web and software development, but is making strides in the realms of data analysis and machine learning as well.

Recent advancements in the field of AI have greatly benefited from Python, largely due to the availability of numerous libraries such as TensorFlow and PyTorch. These libraries facilitate the creation of solutions in neural networks, natural language processing and more.

Even in the field of data analysis, Python's role is substantial. Libraries such as Pandas, NumPy, and SciPy make it possible to manipulate and analyze largescale data with relative ease.

Make it a point to update your tool...

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The evolutionary computation, a niche in machine learning and artificial intelligence, has shown significant promise in solving optimization problems and tuning AI algorithms. Algorithms such as Mind Evolutionary Computation (MEC), proposed in 1998 by Chengai, model human behavior within societal dynamics. In this setup, each individual functions as an intelligent agent influenced by the larger group's action.

Here, achieving a higher societal position necessitates learning from group members. Additionally, all individuals must strive for the same principle for their group to outdo others. A facet worth noting in the MEC algorithm lies in the exchange of information between individuals within and between groups.

Moving on to the operation of this algorithm, it is treated as multi-population, consisting of leading and lagging groups. It uses group initialization, local competition, ...

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A valuable tool for every IT specialist and programmer has been developed - an indicator designed to calculate 14 types of moving averages based on close price. The calculations are predominantly founded on pine script libraries, stemming from vast in-depth research and programming expertise.

The 14 types software developers and IT professionals will appreciate include: SMA (Simple Moving Average), EMA (Exponential Moving Average), WMA (Weighted Moving Average), and VWMA (Volume Weighted Moving Average). Further types comprise RMA (Running Moving Average), DEMA (Double Exponential Moving Average), TEMA (Triple Exponential Moving Average), and ZLEMA (Zero Lag Exponential Moving Average).

The compilation also accommodates HMA (Hull Moving Average), ALMA (Arnaud Legoux Moving Average), and LSMA (Least Squares Moving Average). Alongside these, SWMA (Sine Weighted Moving Average), SMMA...

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Delve into the concept of volatility within the financial market alongside an exploration of how it interacts with the Keltner Channel technical indicator. This article presents vital test results from various trading systems, shedding light on how volatility can be capitalized upon in diverse market conditions. The article prompts a comprehensive exploration of the Keltner Channel indicator and how it can be customized and integrated within trading systems. Furthermore, it challenges readers to optimize their systems to align with trading preferences and goals.

The volatility definition, Keltner Channel definition, trading strategies centered around the Keltner Channel, the creation and testing of related trading systems, and conclusion make up the main themes of this enlightening piece. After a thorough read, traders should be equipped with the knowledge to build and test their Kel...

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In the context of fractal analysis, understanding the Generalized Hurst Exponent (GHE) and its application to financial markets plays a pivotal role. This article demonstrates an alternative approach to the Hurst Exponent, highlighting a practical use case in identifying Forex symbols suited for mean reversion trading.

The GHE's underpinnings, its comparison to the original Hurst Exponent, and the introduction of the Variance Ratio Test (VRT), used to confirm GHE analysis results, form the basis of the discussion. With the groundwork laid, the implementation of the GHE, in identifying potential Forex symbols for mean reversion trading, is examined.

This exploration of GHE leads to a discussion on the Hurst Exponent's role in measuring the scaling properties of time series. The GHE's application expands on this, analyzing how variation between consecutive points in a time series is ...

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In the process of crafting high-frequency trading (HFT) algorithms, adopting the Candlestick Fitness concept can serve as a foundation for greater accuracy. This strategy is premised on the application of population optimization algorithms, wherein 'unfit' candlesticks are systematically concealed.

Unfit in this regard pertains to candlesticks whose body range - open-close for bears or close-open for bulls - is not 75% of the upper or lower wick range. The figure of 75% serves as the default parameter, however, it can be modified according to user preferences.

By selecting to exclude unfit candles, modelers can streamline the process of data analysis, facilitating improved grouping and shuffling of data. In turn, this can assist in developing more effective and efficient HFT algorithms.

Keep in mind the value of marginal gains - the aggregated benefit of making numerous small, ma...

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The perceptron, a simple neural network developed by Frank Rosenblatt in 1957, has found wide application in various fields, including Forex market forecasting. It functions on the supervised learning principle, adjusting its neuronal weights to match historical data and making future predictions. The advantages of the perceptron approach include its adaptability to market changes, ability to handle large amounts of input data, and potential for more accurate forecast. However, it's important to be mindful of challenges like potential susceptibility to data errors, requirement of abundant historical data for training, and the possibility of overfitting. Regularization techniques can be applied to prevent overfitting.

Choosing the correct perceptron parameters plays a pivotal role. These parameters include the number of hidden layers, neurons per layer, the activation function, learn...

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Developers and traders in the IT community, it's interesting to note that there's functionality available for an indicator that calculates gain or loss through two different modalities. This can be achieved by either analyzing the plain difference between the Open and Close of a candlestick, or the difference between the current Close and previous Close.

What's particularly convenient is the feature of setting minimum change limits. This can be done in both pip and percentage modes, which allows versatile means to measure market conditions. Furthermore, it's notable that there's also an option to modify font color of the output numbers to cater to users’ visibility preferences.

This indicator has been developed for the MT4 platform and presents an advantage of displaying the gains and losses for all candles surpassing a user-defined threshold. Calculations are facilitated in both p...

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