Continuing Design Patterns in Software Development: Presenting Structural Design Patterns. They're essential for understanding how classes form larger structures - a valuable tool for advancing software development skills.
Key subjects in this article encompass various Structural Patterns such as Adapter, Bridge, Composite, Decorator, Facade, Flyweight, and Proxy. Gain insights into their practical applications in the world of software development and their use in the MQL5 programming language for designing solutions within the MetaTrader 5 trading terminal.
Moreover, understand the role of Object Oriented Programming (OOP) in comprehending Design Patterns.
Concluding with Disclaimers: All information provided for educational purposes and is not prepared for trading or advice. Results are not guaranteed. Use this information at a personal risk.
A must-read for professionals aim...
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Key subjects in this article encompass various Structural Patterns such as Adapter, Bridge, Composite, Decorator, Facade, Flyweight, and Proxy. Gain insights into their practical applications in the world of software development and their use in the MQL5 programming language for designing solutions within the MetaTrader 5 trading terminal.
Moreover, understand the role of Object Oriented Programming (OOP) in comprehending Design Patterns.
Concluding with Disclaimers: All information provided for educational purposes and is not prepared for trading or advice. Results are not guaranteed. Use this information at a personal risk.
A must-read for professionals aim...
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π3β€1π1
In this technical piece, we focus on developing a quality score which an Expert Advisor can display following a strategy test using a trading model. The article showcases an example of a simple randomly-based system for executing trade operations. As part of the system's rules, attention was paid to various critical factors such as trade volumes, candlestick analysis, and shielded time periods for opening positions.
The article explores the coding details of these aspects, with reusable components being moved into separate files for programmer convenience.
Considering the quality factor, the tutorial explains the usage of the OnTester function and leverages the risk-reward ratio to calculate the average system quality. Two approaches of calculating system quality are discussed, namely, the Sunny Harris model and Van Tharp's System Quality Index (SQN).
The SQN technique is design...
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The article explores the coding details of these aspects, with reusable components being moved into separate files for programmer convenience.
Considering the quality factor, the tutorial explains the usage of the OnTester function and leverages the risk-reward ratio to calculate the average system quality. Two approaches of calculating system quality are discussed, namely, the Sunny Harris model and Van Tharp's System Quality Index (SQN).
The SQN technique is design...
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This morning, the comprehensive official documentation provides examples pertaining to all codes and functions for those who seek guidance. The primary aim is to rewrite existing code in a simpler format, enhancing its re-usability and manageability.
Ideal for beginners launching their coding journey and for seasoned developers seeking basic efficiency, it's intended to aid swift evolution. Personal development within codes benefitted greatly from these adaptations. Encouragement is extended to provide feedback, preferences between the official documentation code or this revised version are appreciated.
An array of codes have been developed, focused towards Mql5 iFunctions. These include beginner-friendly codes such as ADX, Alligator, AMA - Adaptive Moving Average, ATR - Average True Range, Bands Bollinger, Ichimoku, MACDr, Momentum, Moving average, Rsi, and Stochastic.
Whilst co...
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Ideal for beginners launching their coding journey and for seasoned developers seeking basic efficiency, it's intended to aid swift evolution. Personal development within codes benefitted greatly from these adaptations. Encouragement is extended to provide feedback, preferences between the official documentation code or this revised version are appreciated.
An array of codes have been developed, focused towards Mql5 iFunctions. These include beginner-friendly codes such as ADX, Alligator, AMA - Adaptive Moving Average, ATR - Average True Range, Bands Bollinger, Ichimoku, MACDr, Momentum, Moving average, Rsi, and Stochastic.
Whilst co...
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Fresh insights reveal a foundational method of data analysis for precise programming simulation. Detailed tying in of the service file representation of ticks and their processing, and alignment to shift this data for use in file format opens up a robust tool for data discovery. Empowered by this technique, developers can utilize analytical tools to get insights from the simulator-generated data, thereby gaining a comprehensive grasp of the significant systems to be implemented.
Mastering this data analysis method will provide an understanding of how to design more complex functions and understanding of macros for random value generation within a specific range.
Insights into a system simulating free random walk to generate a confusing graph are thought-provoking. Furthermore, highlighting the crucial considerations for tick simulations and 1-minute bar values redefines the underst...
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Mastering this data analysis method will provide an understanding of how to design more complex functions and understanding of macros for random value generation within a specific range.
Insights into a system simulating free random walk to generate a confusing graph are thought-provoking. Furthermore, highlighting the crucial considerations for tick simulations and 1-minute bar values redefines the underst...
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From the technical standpoint, the Oscillator Indicator is an exceptional trading tool designed with advanced algorithms, serving as a valuable asset to both professional traders and those starting on the trading journey. It bolsters trading acumen by supplying timely, precise signals that advise the ideal entry and exit points for trades.
The underlying strength of_this Indicator lies in its ability to effectively highlight trend terminations. This feature aids traders in refining their decision-making process, hence enhancing the potential to maximize their profits.
The Oscillator Indicator's compelling performance reiterates its value as a necessary resource in achieving sustained success in financial markets. Make all your trading decisions fact-based and algorithm-backed with the Oscillator Indicator and watch your performance grow exponentially.
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The underlying strength of_this Indicator lies in its ability to effectively highlight trend terminations. This feature aids traders in refining their decision-making process, hence enhancing the potential to maximize their profits.
The Oscillator Indicator's compelling performance reiterates its value as a necessary resource in achieving sustained success in financial markets. Make all your trading decisions fact-based and algorithm-backed with the Oscillator Indicator and watch your performance grow exponentially.
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π8β1
Substantial strides have been made in developing a market replay system, simulating a distinctive symbol with dynamic yet stable capabilities, increasing the breadth of potential scenarios that can be tested. The aim is to authentically parallel movements observed in a real market scenario.
However, the simulations created so far struggle to encompass the complete range of possibilities, often missing critical data points. The current model, based on the RANDOM WALK principle, proves to be insufficient due to its inability to completely mirror the span of actions within different market conditions. Merely relying on chance is not a viable solution.
A supervised form of RANDOM WALK, fusing abstract mathematical concepts and code has the potential for achieving accuracy while ensuring all specified points are reached. The upcoming discussion will delve into the simplistic core concep...
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However, the simulations created so far struggle to encompass the complete range of possibilities, often missing critical data points. The current model, based on the RANDOM WALK principle, proves to be insufficient due to its inability to completely mirror the span of actions within different market conditions. Merely relying on chance is not a viable solution.
A supervised form of RANDOM WALK, fusing abstract mathematical concepts and code has the potential for achieving accuracy while ensuring all specified points are reached. The upcoming discussion will delve into the simplistic core concep...
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π2
The ability to successfully conduct trading operations stems from effective utilization of MqlTradeRequest structure when creating a trading request. Specifics of each operation, trade volume request, and the trading instrument itself are among the elements affected by trade requests. Ensuring these factors are properly accommodated can significantly increase the proficiency of trading operations.
For instance, the interaction between the client terminal and trading server, engaged in order placement, is dictated by trade requests. The specification of actions forms the backbone of these requests, with the resulting operations being handled appropriately.
In addition, while filling in required fields of the structure, one can set a trade order to the server. These entries can range from the proposed volume of a trade deal, price, stop-limit order level, to even comments on an order...
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For instance, the interaction between the client terminal and trading server, engaged in order placement, is dictated by trade requests. The specification of actions forms the backbone of these requests, with the resulting operations being handled appropriately.
In addition, while filling in required fields of the structure, one can set a trade order to the server. These entries can range from the proposed volume of a trade deal, price, stop-limit order level, to even comments on an order...
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The complex world of technical analysis has an intriguing instrument at its disposal: a system that pinpoints the occurrence of six rising bull candles or falling bear candles. It then earmarks an arrow to signal this event. This tool is invaluable for traders as it can pinpoint potential operational breaks in reversal trading.
Observing the formation of six soldiers enables traders to halt operations temporarily. This pause is critical, allowing traders to circumnavigate the potential pitfalls associated with getting caught in a breakout. Understanding these systems, patterns, and signals can play a pivotal role in maximising profitability over time and minimizing losses.
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Observing the formation of six soldiers enables traders to halt operations temporarily. This pause is critical, allowing traders to circumnavigate the potential pitfalls associated with getting caught in a breakout. Understanding these systems, patterns, and signals can play a pivotal role in maximising profitability over time and minimizing losses.
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π2
Expounding on the intricacies of candlestick plotting β the methodology emphasizes the importance of checking if either the upper or lower Wick range of a candlestick is greater than the Body range. This process is essential to accurately project the wingding. In the graphing world, this specialized method can offer vital insights into the trend patterns. Utilizing it effectively may significantly enhance the accuracy and reliability of charting endeavours. A comprehensive understanding of this approach is an effective tool in a programmer's arsenal.
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π3
Unveiling the functionalities of the Donchian Channel indicator, a comprehensive tool in market trading. Developed by Richard Donchian, it utilizes the highest high and lowest low from a stipulated number of periods to determine market volatility. Clear demarcation of high and low values exhibits the channel and aids in discerning price stability.
The indicator underscores four key buffers: Upper Donchian Channel (Buffer 0 - Green Line), Middle Donchian Channel (Buffer 1 - Blue Line), Lower Donchian Channel (Buffer 2 - Green Line), and MA Donchian Channel (Buffer 3 - Red Line). Each contributes to the overall authenticity of this dynamic trading instrument.
Breaking down the code, the high and low values from the set 'n' period are extracted initially, followed by an average to generate the Middle Line of the Channel. A moving average of the Middle Donchian Channel is then calculate...
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The indicator underscores four key buffers: Upper Donchian Channel (Buffer 0 - Green Line), Middle Donchian Channel (Buffer 1 - Blue Line), Lower Donchian Channel (Buffer 2 - Green Line), and MA Donchian Channel (Buffer 3 - Red Line). Each contributes to the overall authenticity of this dynamic trading instrument.
Breaking down the code, the high and low values from the set 'n' period are extracted initially, followed by an average to generate the Middle Line of the Channel. A moving average of the Middle Donchian Channel is then calculate...
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Addressing a technical concern within the realm of developing a replay system, an issue appears regarding the use of current replay systems. They are ill-fitted for the exploration and practice of certain operation systems, an issue largely stemming from a lack of pre-analytical capabilities. The unavailability of these crucial bars leads to an inability in gaining reliable indicator information. Addressing this is the necessity to conduct careful and appropriate calculations considering the largest period needed for each indicator to generate useful data.
Furthermore, modifying the replay system necessitates an understanding of details regarding the chart period to be used in the replay, along with the minimum period required for useful information generation. These considerations determine efficiency when we apply them to create a market simulator. The difference between the replay...
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Furthermore, modifying the replay system necessitates an understanding of details regarding the chart period to be used in the replay, along with the minimum period required for useful information generation. These considerations determine efficiency when we apply them to create a market simulator. The difference between the replay...
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π4
In the realm of trading algorithms, a novel feature has been integrated into a specific indicator. This feature offers an input field dubbed 'multiplication factor'. Users are given the leverage of inputting any value of their preference to identify a custom hammer or inverted hammer.
For instance, when using a multiplication factor of 1.25, the algorithm is designed to search for a hammer wherein the shadow of the hammer is at least 1.25 times of the body. In contrast for the inverted hammer, the factor applies inversely.
The results are denoted by plotting a specified color input into the system, making the custom hammer or inverted hammer easy to distinguish. This update leads to improved efficiency and precision in recognizing trading patterns, providing an upper edge to strategists in their respective trading markets.
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For instance, when using a multiplication factor of 1.25, the algorithm is designed to search for a hammer wherein the shadow of the hammer is at least 1.25 times of the body. In contrast for the inverted hammer, the factor applies inversely.
The results are denoted by plotting a specified color input into the system, making the custom hammer or inverted hammer easy to distinguish. This update leads to improved efficiency and precision in recognizing trading patterns, providing an upper edge to strategists in their respective trading markets.
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Proposing a new approach to handling the problem of large, unwieldy source code in the context of swapping or adding ONNX models. This involves utilizing object-oriented programming to streamline workflows and enhance the outcomes of trading strategies.
Three distinct classification models were trained on MetaQuotes-Demo server data, each with different counting techniques and averaging periods. Through the utilization of the base class, the models shared a uniform interface and were implemented with methods like PredictPrice or PredictClass as per the specific requirements.
Key functions were redefined for each model class to manage the sizes of the input and output tensors. Complementary Expert Advisors were created for the evaluation of every model's performance.
The final test combined the strengths of all models; the hard voting technique offered improved outcomes - profita...
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Three distinct classification models were trained on MetaQuotes-Demo server data, each with different counting techniques and averaging periods. Through the utilization of the base class, the models shared a uniform interface and were implemented with methods like PredictPrice or PredictClass as per the specific requirements.
Key functions were redefined for each model class to manage the sizes of the input and output tensors. Complementary Expert Advisors were created for the evaluation of every model's performance.
The final test combined the strengths of all models; the hard voting technique offered improved outcomes - profita...
Read more...
π2
Update on v1.01: Noteworthy modifications have been implemented which include the incorporation of a magic number, an overseer on the symbol which allows for multiple chart attachments within the same account, a time controller for trading, and an option for forceful closure of all trades once the end hour is reached.
The EA carries out the deployment of a grid consistent with pending limit orders in synchronization with the current price, the selling limit above and buying limit below, as well as the trading range, which is computed through the use of weekly highs and lows.
Subsequent to the execution of the orders, the EA administers them. The operational rule is that if the number of executed orders amounts to 2, a new limit is opened at the pen price. If the number of executed orders exceeds the total minus 2, the limit orders are reset to the range. For an exhaustive overview...
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The EA carries out the deployment of a grid consistent with pending limit orders in synchronization with the current price, the selling limit above and buying limit below, as well as the trading range, which is computed through the use of weekly highs and lows.
Subsequent to the execution of the orders, the EA administers them. The operational rule is that if the number of executed orders amounts to 2, a new limit is opened at the pen price. If the number of executed orders exceeds the total minus 2, the limit orders are reset to the range. For an exhaustive overview...
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π3
As a senior developer, the evaluation of ChatGPT from OpenAI - an artificial intelligence tool cognizant of practicing various scientific tasks such as physics, chemistry, and, intriguingly enough, programming and mathematics - is manifold and fascinating.
Resources can be optimised through the functionalities it offers, such as code generation, code refactoring, error debugging and speeding up the process of developing advanced algorithms in the realm of trade. A profusion of layered benefits are borne from proper utilisation.
However, a cautionary note - the tool yields optimal results only when the user asks specific, intelligible and simpler questions. Complex problem solving often results in inaccurate responses due to the inherent limitations in the algorithm's processing capability.
The AI model leverages existing information and cannot access any updates post 2021. Its c...
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Resources can be optimised through the functionalities it offers, such as code generation, code refactoring, error debugging and speeding up the process of developing advanced algorithms in the realm of trade. A profusion of layered benefits are borne from proper utilisation.
However, a cautionary note - the tool yields optimal results only when the user asks specific, intelligible and simpler questions. Complex problem solving often results in inaccurate responses due to the inherent limitations in the algorithm's processing capability.
The AI model leverages existing information and cannot access any updates post 2021. Its c...
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π6
Professional programmers, take note. Official documentation now features examples for every code and function for your perusal. This recent update reflects the commitment to making coding more approachable and workable. Newbies and veterans in coding, take advantage of this straightforward code that promises rapid evolution. It's a handy tool that facilitates code refinement.
Your input matters. Give feedback on preference between documentation code and new simplified code. Remember to rate and enhance visibility.
Several new codes are now accessible on the Mql5 iFunctions platform. Among these are beginner-friendly versions of ADX, Alligator, and others by William210. Adapt and enhance your stroke with the Adaptive Moving Average, RSI, and more.
Even more coding capabilities are included in this update. Traverse the intricacies of Awesome Oscillator and RSI calculations without ...
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Your input matters. Give feedback on preference between documentation code and new simplified code. Remember to rate and enhance visibility.
Several new codes are now accessible on the Mql5 iFunctions platform. Among these are beginner-friendly versions of ADX, Alligator, and others by William210. Adapt and enhance your stroke with the Adaptive Moving Average, RSI, and more.
Even more coding capabilities are included in this update. Traverse the intricacies of Awesome Oscillator and RSI calculations without ...
Read more...
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Revisiting the mechanics of SPDRβs consumer discretionary ETF XLY: Launched on 22nd December 1998, the ETF currently boasts an AUM over U$16 billion. This particular ETF presents potential ambiguity, for example, is AMZN classified as a discretionary goods seller, staple goods seller or a tech company? However, for those seeking exposure to AMZN, it can only be found in this sector ETF. It's important to note, XLY is predominantly impacted by economic cycles.
Shifting gears to the technical side of things, MQL5 language and MetaTraderβs Integrated Development Environment (IDE) are frequently used to develop autonomous trading systems, scripts, and indicators. However, trading ETFs on the platform depends on whether the broker offers them. In this article, attention is directed towards the advantageous component of a trade system - time series analysis and forecasting, especially for...
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Shifting gears to the technical side of things, MQL5 language and MetaTraderβs Integrated Development Environment (IDE) are frequently used to develop autonomous trading systems, scripts, and indicators. However, trading ETFs on the platform depends on whether the broker offers them. In this article, attention is directed towards the advantageous component of a trade system - time series analysis and forecasting, especially for...
Read more...
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In the realm of technical analysis, candlestick patterns provide crucial insights. Specifically, the interplay between bullish and bearish candles can portray potential trading signals. Consider this scenario: A bearish candle is observed and is instantly succeeded by a bullish candle, where the bullish candle opens below the closing rate of the preceding bearish candle. In such cases, the graphic representation marks a bullish arrow.
Conversely, when a bullish candle is succeeded by a bearish one, and the bearish candle opens above the closing point of the bullish candle in the market, a bearish arrow is plotted on the chart. Such patters are critical in the interpretation of trading signals. They can help traders to predict the possible future behavior of market prices.
Remember, understanding these subtle clues of candlestick patterns can be the difference between profitable trad...
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Conversely, when a bullish candle is succeeded by a bearish one, and the bearish candle opens above the closing point of the bullish candle in the market, a bearish arrow is plotted on the chart. Such patters are critical in the interpretation of trading signals. They can help traders to predict the possible future behavior of market prices.
Remember, understanding these subtle clues of candlestick patterns can be the difference between profitable trad...
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π4
A fundamental aspect to consider in financial graph analysis pertains to 'candles'. A 'candle' without a corresponding 'wick' replaces the standard representation with an "x" via the Wingdings font. This technical aberration creates a unique subplot within the broader analytic framework, calling attention to specific data points for closer scrutiny. True to its name, the 'candlestick' graph, derived from ancient Japanese rice trade, is a sophisticated tool for recording price movements over discrete periods. The wick's length insinuates volatility within that period - a valuable cue for financial analysts. Consequently, the absence of a wick and the resulting 'x' sign serve as crucial indicators for seasoned traders and programmers in the domain.
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Understanding changes in candlestick patterns can provide substantial insights for market trends. An event occurred where the most recent candlestick's body was entirely submerged within the preceding candle's wick. This kind of formation may convey crucial market dynamics, potentially signifying a trend reversal, depending on other supporting indicators. It's an unmissable chance to refine the trading strategy and adjust risk parameters to suit these new insights. Stay updated.
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