A new article focusing on enhancing the market replay service was just released. The text presents solutions to an existing user interface problem, primarily involving the account types detected by the EA (Expert Advisor). However, issues still persist with the replay/simulation system, particularly the inability to accurately report the account type attached to an asset. Techniques to resolve this while also making use of the MetaTrader 5 platform functionalities are elaborated on.

Unanswered is the recurring question - how to transmit this account type information into the EA? A viable solution appears to be through the use of an 8-byte block enabled terminal global variable. This solution is reliant on the peculiarities of the MQL5 language, highlighting the challenge of programming within its constraints.

The article then proposes enriching the replay/simulation system function...

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Trading volatility remains a critical aspect of successful financial market operations. Today, attention is focused on the Chaikin Volatility (CHV) technical indicator. This piece delves into understanding the application of the CHV.

CHV is instrumental in measuring market volatility and may signal possible reversals. Its effectiveness can be further enhanced when used with other technical tools.

Starting with understanding the CHV's calculation, the discussion progresses toward the creation of a custom CHV indicator using MQL5-- a requisite for optimizing trading system performance.

Following this, different trading strategies are examined, including the exclusive use of CHV and integrating with other indicators. Examples include CHV crossover and CHV and MA crossover strategies.

It is worth noting that tweaking the CHV indicator, incorporating it into tailored trading systems...

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Unlocking the potential of the immune system as an optimization mechanism can solve complex problems. This is the principle behind the Artificial Immune System (AIS) optimization method. The approach employs concepts of antigens (inputs), antibodies (solutions), and killer cells (optimization processes). Devised in the 1990s, it has been subject to constant growth and development, enhanced by variations and alterations.

Micro-AIS, a recent modification, uses simplified models and processing operations of normal AIS. Its strength lies in bringing ease to implementation. However, more complex problems may require a comprehensive immune system model.

Micro-AIS measures affinity, the similarity between antibodies and antigens, which acts as an indication of suitability. Higher affinity antibodies are selected for new antibody creation, though experiments have shown using the fitness fun...

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Continuing the journey of debugging and rectifying a complex replay system in a development environment poses intricate challenges. A system replete with mysterious bugs has been put under scrutiny, with notable anomalies associated with pointer operations and recursion in the context of C and C++ languages.

Minor modifications yielded a solution for one fault, although it is deemed necessary to extend revisions to ensure smooth operation of the program. Failure diagnosis revealed that the errors are associated with newer additions to the program, with their effects becoming apparent with increased usage.

The 'Service Busy' indicator glitch was rectified by implementing minor changes, avoiding the approach of turning a blind eye by removing the indicator altogether. As an alternative, minor code changes yield the desired results, without creating substantial implications on the pr...

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Running scripts regularly is part of the developer's life. Scripts executed on the W1 and D1 timeframes can offer unique insights. The result of these scripting processes should be noted not only on the D1 timeframe but also on the M15 interval. The multiple perspectives allow a more thorough survey of the data. It aids in cross-analyzing the accurate calibration and efficiency of the scripts. Keep tabs on the outcomes across distinct periods to fine-tune script performance, ensuring optimal results.

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Understanding reinforcement learning is crucial to developing optimal behavior policies within an exploratory environment. A key challenge that lies within this approach is the creation of an appropriate reward function, which typically demands significant human effort. The authors of "Beyond Reward: Offline Preference-guided Policy Optimization" have proposed an innovative solution to this problem with the Offline Preference-guided Policy Optimization method or OPPO. The OPPO method eliminates the requirement of traditional rewards and replaces it with the preferences of a human annotator between two environment trajectories.

The OPPO algorithm is a one-step method that models offline preferences and learns optimal decision policy without requiring separate reward function training. This is achieved by using two key factors of capturing information during the absence of offline dat...

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Unveiling a novel indicator with the capability to draw three separate line plots on a single chart. Using this tool, the current period is automatically detected, and the user has the convenience of designating two additional periods for comparison purposes. It's a valuable tool when the price direction does not align across the selected timeframes.

Coinciding with this divergence, the lines will separate, which illustrates a lack of harmony or confluence across the timeframes. This discrepancy can serve as an indicator to abstain from trading activity during such periods. The rule of thumb is to engage in trading when there's substantial confluence among multiple timeframes.

The first plot is the depiction of a line chart established on the closing prices of the current timeframe. In contrast, the second and third plots represent the deviation of the first and second input timefr...

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The QuickTradeKeys 123 Expert Advisor (EA) provides a swift market response facilitator. It allows the ability to conduct trades directly from the chart view using a single keystroke. With Key '1' opening a buy position, Key '2' a sell position, and Key '3', closing all open positions the EA has initiated via a particular magic number.

Ease of use is one of the main features of this tool. It caters to both novices looking to get their feet wet in the trading world and seasoned traders desiring efficient trade control.

The application sphere for this EA spans across all currency pairs and timeframes. However, to ensure swift execution, access to a low spread and smooth market is crucial.

Installation is simple enough: dragging the EA onto the chart of choice, ensuring that automated trading is activated in MetaTrader, then authorizing the EA to conduct trades seals the deal. Fine-tu...

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Assess the key difference between classic trailing and virtual trailing: the former leverages Stop Loss for trailing, which corresponds on your broker server; the latter does not make use of Stop Loss for trailing and is not reflected in the broker's system.

Understanding trailing gaps is also critical; this refers to the difference from current Bid/Ask Price. Equally, comprehend the concept of a trailing start – the distance from the original order entry price (Order Open Price), at which a new trailing begins.

As a seasoned developer deconstructing these trading algorithms, fine-tuning and understanding their nuances are integral to enhancing performance potential. With the correct approach to these parameters, one can have better control over their trade and potentially elevate their trading to the next level.

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New methods in category theory analysis are emerging - recent studies have focused on how equalizers can be applied in MQL5 for optimizing trading strategies. By examining 'common behavior' in parallel morphisms, traders can utilize equalizers to better understand their strategic outcomes and enhance their overall performance.

Additional concepts from category theory, such as reflexivity, symmetry, and transitivity, have provided a fresh lens for understanding forex trading. Turbulent changes in the volume or nature of trading can be explained using these principles, providing a more comprehensive view of fluctuations in currency rates or trading positions. For instance, the interest rate parity theory suggests the existence of transitive equivalence between different countries' currencies.

The essence of equalizers lies in their ability to dissect complex systems for more in-dept...

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An Expert Advisor (EA) has been recently upgraded to offer a broader range of functionality. Designed for currency pair modifications, the EA permits changes to the variable values related to Take Profit (TP), Stop Loss (SL), Trailing, Closing, among others.

It's noteworthy that the EA doesn't operate on specific Magic Numbers, a feature that makes it adaptable to orders placed via mobile devices.

Modified features of this EA are noteworthy. The layout is divided into three strategically organized buttons. It enables automatic closure of all orders upon achieving the set profit, subject to the parameter values under "CLOSE IF PROFIT-xxxx". An input of 0 implies non-activation, while a value of 100.0 prompts the orders to close automatically upon reaching a profit of $100.

In contrast, orders automatically close upon reaching a deficit determined by the input under "CLOSE IF LOSS-xx...

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In an incisive examination, this article outlines the value of leveraging candlestick patterns in automated trading. Understanding the patterns of candlesticks can assist in predicting potential market movements. The article delves into specific single and blended candle patterns, and how to apply MQL5 for auto-detection of these patterns in MetaTrader 5.

It emphasizes the importance of using these patterns in synergy with other technical tools to generate credible signals. This includes integrating Doji and Hammer patterns in diverse timeframes. The ability to write a program that can continuously monitor Doji patterns is explored, underlining it as an essential part of an effective trading system.

Notably, the Hammer pattern analysis demonstrates that candlestick appearances can vary significantly across multiple timeframes. Therefore, these patterns become particularly meaningful...

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A focused approach towards extracting the most recent closed trade data can be achieved with the given block of code, eliminating the need for operating in leveraged loops. Optimization may be realized through the establishment of a specific variable assigning the start time of the present day, although this step remains optional. Further optional enhancements include the institution of supplementary variables destined for chart output curation and the generation of additional code blocks.

To witness the results in real time, it is suggested that this code be applied within the OnTick() function which will display outcomes with every tick occurrence. However, this restriction can be modified to make an appearance once per bar, as per user preferences.

Moreover, a comprehensive study of the entire trading history, right from inception, may be procured through the effective usage of...

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Examining a vexing challenge when working with MetaTrader 5: causing changes in element behavior using MQL5. The goal is to share avenues of transformation on source code allowing modularity in the system. The coding journey presented is not a bed of roses; the codes viewed are mere modifications and not original versions. The crossroad in sight: revealing unaltered coding or a variation closer to the daily use; otherwise, the future of the replay/simulation system project is uncertain.

Solving this challenge doesn't solely involve writing code—it entails instilling knowledge enabling you not only to utilize the system but also modify it, honing it to meet your needs. Thus, granting you the power to conduct your analysis independently. The beauty of this step-by-step process manifests in the tailored behavior of the programming and the creation of a comprehensive system using a low n...

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A fresh take on the tried-and-true Relative Strength Index (RSI) is available to discerning developers. Utilizing the underlying principles intrinsic to RSI’s functionality, it focuses primarily on depicting accurate market momentum.

However, the distinctive forte of this revamped indicator is its capacity to filter out market noise that commonly triggers false signals. Its refined ability promises to pinpoint only authentic market fluctuations, thereby boosting its dependability.

Usage guide: Employ this advanced indicator akin to a traditional RSI - identify divergences, train it on upward/downward movements or harness its prowess to highlight oversold/overbought terrains.

A couple of professional suggestions: Opt for custom adjustments to the Signal Period and Rate of Change Period based on personal strategy. Rigorous back testing is recommended prior to deploying it live. Al...

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Expanding on the prior discussion of APIs and RestAPIs, the forthcoming content applies these principles to a practical example: developing functions in MQL5 for HTTP calls, and integrating these with RestAPI capabilities for efficient interaction with an external environment. To further illustrate these concepts, a Python Tic-Tac-Toe game serves as the example. Crucial MQL5 functions will be established to effect communication with the game's Python API. This will further be supplemented by discussion on API development via FastAPI and the application of a test script in MQL5 for interaction with the game’s API.

This final step brings the entire process, from theoretical concept to the practical application, together to demonstrate the applicability of these technologies in the building of innovative solutions. This is part of a wider exploration of the role of MQL5 functions and Fa...

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Expanding on the functionality of the MQL5 wizard, this text discusses how the tool can be usefully employed for the rapid creation and testing of expert advisers and trading systems, particularly with regard to multi-currency trading. Multi-currency trading can serve to mitigate risk concentration, offering the opportunity to capitalize on cross-market trends and opportunities.

This text also presents templates for the MQL5 Wizard for two scenarios. The first scenario modifies the classes used in the MQL5 Wizard to assemble an expert advisor that analyses and opens parallel positions across multiple currency pairs to mitigate risk exposure. The second scenario creates a 'Select' function that relies on the correlations of the symbols within the trade portfolio to capitalize on cross-market opportunities.

In addition to setting up these templates, you need to make some key modific...

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Unravel the intricate world of the combinatorial algorithm of the GMDH (Group Method of Data Handling), commonly known as COMBI. Serving as the foundation for more complex algorithms, COMBI operates on input data represented as a matrix encompassing observations over variables. This deep dive into COMBI outlines its unique computation and how to implement Combinatorial Selective algorithm in MQL5.

The number of nodes in COMBI's single layer is determined by the number of inputs, with each node representing a candidate model defined by one or more of the inputs. Models are then selected based on the minimal value of their performance criteria. The article offers a glimpse into COMBI's implementation in MQL5 and highlights its linear model forms.

We cannot overlook the comprehensive nature of COMBI's algorithm, which ensures the retrieval of the optimal polynomial. However, broad se...

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Are you a code enthusiast looking to learn the ropes of indicator codes? Here's a simple approach to get started. Use this uncomplicated indicator code. It's manageable for beginners, useful for seasoned coders and serves as a practical tool in manual backtest.

Employ this method by just shifting a vertical line in order to display or conceal bars. Simply apply the indicator to the chart and include a Vertical Line object titled "VL". Voila! Now watch it efficiently functioning on Oncalculate().

Relocate the line to the left or the right on the chart to camouflage or reveal bars on the right side. It's a straightforward strategy and an efficient way to kickstart your journey into code. You'll not only learn, but also have a sturdy reference for backtest.

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Delving into the realm of mathematical expectation in trading can unravel various levels of strategy efficiency. This complex layer of trading systems can throw light on the probability of a game's return, as the example of a mutually profitable game is discussed to demonstrate the workings of mathematical expectation in calculating gains and losses.

How much would you invest in a game which gives you the potential for limitless profits? Though it sounds enticing, it is critical to grasp the inherent risks involved. The game considered here displays a classic case of the 'St. Petersburg paradox' which needs to be navigated thoughtfully.

Interestingly, the concept of moral expectation proposed by Daniel Bernoulli in 1738 urges you to maximize not just the expected payoff, but the utility of the payoff for the player. He asserts that wins hold different values for different players ba...

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In a recent development, an expert advisor has been designed, incorporating two significant indicators - the Alligator and Bollinger Bands. Intended for application within the foreign exchange market, it specifically targets the GBP/AUD currency pair. Operating on a time frame of 15 minutes, the regime of operation for this advisor maintains a rigorous short-term analysis structure. Leveraging the strength of both the Alligator and Bollinger Bands indicators, it successfully amalgamates trend identification with volatility measurement. End users can anticipate detailed, reliable metrics to bolster their trading decisions.

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