Understanding the concept of Dominant Candle in the trading domain is integral for technicians and traders alike. Presented as a two-candlestick set, the unique characteristic lies in the intersection of their wicks within the body area. The relative positions of the candles can manifest in a 'gapped up', 'gapped down' or 'equal' state. It's part of a toolkit to optimize trading strategies and make nuanced decisions based on market trends and investor sentiment. Clearly, the complexity of the Dominant Candle lies not just in its illustration, but also in its interpretation and application. Through continuous research and practice, proficient reading of such nuanced signals is achievable.

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The "CloseBasketPairs.mq4" script authored by " persinaru@gmail.com " and copyrighted by MetaQuotes Software Corp. in 2024 has been released in the version 1.01. Originally designed for application in foreign exchange markets, this script demonstrates an elegant method for managing investments across a variety of currency pairs.

The functional backbone of "CloseBasketPairs.mq4" lies in its risk management system. This script ensures investors' funds are protected by closing positions for a basket of currency pairs when pre-set profit or loss thresholds are reached. Each currency pair and its respective order type are meticulously defined in the script, which then conducts a systematic loop through all open positions. If a position correlates to a defined basket pair and meets the established criteria - either profit exceeding the defined threshold or loss falling below it - the scrip...

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The "Reverse_Trades_For_all_Trades_and_Symbols_V1.mq4" script offers a strategic approach to revamp open trades across all symbols on a trading interface. Upon execution, this script scrutinizes all live trades, closes each, then procures an antagonistic trade for the same symbol. The result? A brisk about-face in the direction of each trade, potentially profitable amidst fluctuating market scenarios. Prudent testing on a demo account is advised pre-live trading. Here's a brief on its significant elements:

OnStart(): Triggered at script commencement, it propels the ReverseTrades() function.

ReverseTrades(): Employs a loop to inspect all live trades. Essential metrics like order type, open price, lot size, and symbol are gathered for every trade, followed by the closure of the existing order via OrderClose() and an initiation of a contrasting order using OrderSend().

OrderClose() a...

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In the realm of IT, one would appreciate the implementation of a script that has a function to track the stop loss of every open purchase and sell order. Manipulating the TrailStart and TrailStop parameters can customize these to align with one's desired levels. Undeniably, this acts as a fundamental instance and opens the door for further enhancement and customization, catering to a range of specific requirements. This proposed automation is instrumental in optimizing strategies, thereby fostering increased efficiency in trading activities.

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MetaTrader 4 users may find interest in the new script developed for automated buying and selling actions. It functions based on a simple continuous trend-following strategy. The script has several components:

Initialization and Deinitialization: These two stages ensure the smooth running of the script. The success of initialization and deinitialization is verified through printed messages.

OnTick Function: This function responds to every new price change in the market. It performs various subfunctions including tracking variables' reset, open orders' check, position opening, and closed orders' check.

Open Buy and Sell Positions: If predefined conditions are met, the script initiates buy or sell positions corresponding to the market bid or ask price respectively. Stop loss and take profit are also defined in this stage.

Input Parameters: The script includes parameters for lot size...

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Simulated Annealing (SA) algorithm's conventional version was discussed in the first part. This discussion revolved around three main concepts - randomness, acceptance of worse decisions, and reduction of the probabilities of accepting worse decisions. Think of a de-heated metal gradually cooling, causing shifts in its structure. Similarly, the Simulated Annealing algorithm starts from a high temperature and lessens the temperature incrementally aiming for the optimal solution. The algorithm's significant parameters, such as the initial temperature and the cooling ratio, can greatly influence its efficiency.

Some shortcomings of the system were examined as well. It was observed that this algorithm tended to get stuck at local extrema, which can be overcome by using an appropriate distribution of the random variable. Likewise, improving the convergence speed and efficiency of the algo...

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A newly designed script offers its functionality to technocrats dealing with financial data, particularly those focusing on candle analysis. This script serves to perform several tasks with high accuracy and ease, hence simplifying decision-making in trading.

The script's primary function is data retrieval - it gathers vital information about the open, close, high, and low prices of candles pertaining to the attached financial instrument. Post retrieval, the script moves to categorize each candle as bullish, bearish, or neutral, founded on the direct comparison between its respective closing and opening prices.

A unique feature of this program is its ability to calculate the amplitude (the high-low difference) of every candle. Further, it comprehensively computes the average amplitude for both bearish and bullish candles, a crucial utility for making strategic, informed decisions.

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Experienced software developers and traders may find interest in the "Virtual_SL_TP_Pending_with_SL_Trailing.mq4" script. This adaptable trading tool is constructed to handle trades by adjusting virtual stop loss and take profit levels, in addition to a virtual pending order, all encompassing an optional trailing stop loss function.

Copyright and Link: These data points outline proprietary details and provide a direct path to the developer's portal. The Version element highlights the current software revision. Description: This section offers a detailed outline of the script, including ways of contact for the maker, pertinent IP minutiae, and a cautionary note about utilizing the software at personal risk.

Input Parameters: These external variables give users an avenue to modulate the EA's response, inclusive of options such as StopLossPoints, TakeProfitPoints, SpreadThreshold, Trai...

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Unraveling the complexities of probability theory and interfacing it with optimization algorithms, this study offers an in-depth analysis of various aspects such as probability, distribution, expectation, dispersion, skewness, and kurtosis. No stone is unturned in analyzing random phenomena and determining the probability of outcomes.

Delving into the practical aspects, the post details the construction of random numbers according to required distribution laws. Implementations under scanner include uniform distribution, normal distribution, and power law distribution. It also verifies the approach with a specially designed test bench.

The implementation delves into deeper aspects of optimization, using probability distributions to model uncertainty and approximate complex functions. This study culminates in the introduction of a revolutionary optimization algorithm, the ‘Smart Ceph...

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In an attempt to increase efficiency in detecting new bars within a code, focus is shifted away from using time, and instead utilising the count of bars. This method is not only lighter, but also operates at a faster pace than its time counterpart.

Variables are declared using integer data type to contain the bar counts. Upon initialization, the bars count is assigned to the "BarsTotal_OnInt". The function iBars() is utilised to allocate the bars count for the "BarsTotal_OnTick" variable during live chart operations. It is important to note that this variable undergoes updates on every tick.

The accuracy of the code can be validated via the use of comments and alerts. Always strive to maintain a clean and concise programming culture, fostering a comprehensive understanding of operations. Leveraging the use of bar counts positively impacts output speed and greatly enhances overall c...

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In the data-driven era, the Principal Component Analysis (PCA) stands as an indispensable tool for dimensionality reduction in large data sets. This process discards 'non-principal' components, essentially refining the data to its most significant vectors.

The key to a well-performed PCA lies in identifying those principal components, which can potentially be achieved through methods like the Eigen vectors & values, Singular Value Decomposition (SVD), and the Power Iteration. Like finding a diamond in the rough, PCA pinpoints the matrix vector that embodies the entire matrix's principal components.

PCA's ability to reduce the computation cost enhances efficiency when comparing data points in forecasting and diminishes computation time during model training. In a world where IT resources are precious, PCA can also help mitigate the 'curse of dimensionality,' minimizing storage spac...

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Discover how a database can aid your trading strategy. This piece outlines how to construct a database for storing data from the MQL5 Economic Calendar, offering a practical resource for managing and analyzing large datasets. The data compiled will allow traders to act quickly in response to significant news releases, enhancing opportunities for profit. The use of SQLite databases in MQL5 makes it possible to work with extensive data sets with ease, even in strategy testing. Get a clear understanding of the benefits and challenges of trading in various currencies listed on the MQL5 Economic Calendar.

Grasp how daylight savings impacts back-testing and the functioning of financial markets. Extracted from US, UK, and Australian contexts, the concept is explained clearly with references to changes in trading schedules or time zones during the daylight saving period.

The article then ...

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Understanding the versatile GridManager library: For efficient grid management, the library contains standardized base public methods. Give special heed to MaxDD or 'maximum allowed drawdown'. By default, its value is inactive but can be energized using the Set method. The emphasis here is on the %balance value.

Starting a fresh grid, though not initiated, can become effortless with the Start method. Concurrently, make use of Update for identifying new entries and possible exits.

Exemplifying these principles, observe this representative code of EA operating based on the GridManager Object. This understanding of grid management comes handy in many real-world programming scenarios. All effectively highlighting the versatility of the GridManager library.

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The following piece of the article is about the utilization of a CNN-LSTM-Based Model to forecast financial timeseries, as implemented by senior developers Wenjie Lu, Jiazheng Li, Yifan Li, Aijun Sun, Jingyang Wang in their research paper published in the Complexity magazine. They found the model had utmost accuracy compared to other available ones during the course of the experiments.

Python is a recommended platform due to its extensive capabilities in handling ML models along with its set of specialized libraries making data preparation and processing facile. For maximizing productivity, GPU resources are encouraged to be used. The prerequisites involve the installation of Python version 3.9.16 and libraries (suitable for Conda/Anaconda users).

A significant aspect of this model is building and training it. For this purpose, a Python script is employed. The steps include import...

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A new cryptocurrency Expert Advisor (EA) has been developed, aimed at facilitating ETH/USD trading transactions. This application was birthed in response to challenges faced with timing and schedules in the flurry of day to day activities. Decentralizing the process, the EA is deployed on a Virtual Private Server (VPS), ensuring round-the-clock response to trading signals and entries.

The EA embraces a relatively straightforward strategy. It identifies the trend after touching the Bollinger Band (200), from which a trade is enacted on the 55 WMA breakout. Trailing is executed using the Bollinger Band, providing critical support for large-scale profits. Recommended for a 5-minute trade chart, the EA implements an extensive TP/SL ratio of 30/1 and trailing.

Entry is done via 55 WMA, with the trend and trailing conducted by Bollinger Bands 200. Being suitable for conservative investme...

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The complex market patterns encountered by programmers can be categorized into two distinct trends - horizontal and non-horizontal. To explain this concept in detail, let's consider the Janus factor, a theory that succinctly encapsulates the dual nature of these market trends.

Per the Janus theory, the market intricacies are driven by price oscillations and proportional trader responses, a mechanism akin to a feedback system. In trending markets, gained confidence motivates traders to augment their profits, leading to price escalation. Conversely, an atmosphere of uncertainty incites fear, encouraging traders to sell to curb potential losses.

An instrumental component of this feedback-based approach is the analysis of symbol performance in varied market conditions. The analysis evidences that traders usually favor high-performing stocks in an uptrend, while targeting under-performin...

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In a recent release, a four-step process is outlined for developers to count "X" times and then pass in their code. The first two steps involve establishing a variable to set the count limit and recording the counted limit. The process continues with comparison of the counter and count limit, triggering the passage of a designated code block when equal. It concludes with resetting the counter to avoid an infinite count.

Another technique integrating wait times is also brought to light. This method alternates between passing and waiting intervals in the code. Counter and waiter variables are initially set, leading to pass or wait activities dictated by the count and wait limits. The final step is resetting both counter and waiter to maintain the function’s continuity. Users can implement filtering conditions to the counter and waiter blocks as per their requirements.

For scenarios wh...

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In the ongoing development of an Expert Adviser, a base system for order processing has been implemented, utilizing MetaTrader 5 platform. The aim is to create a system that works seamlessly with a real trading server for both demo and real accounts.

Initial functions in this system are basic, enabling operations with the trading server and ensuring accurate communication between the EA and the platform. In order to avoid unnecessary complexities, the system is designed to take full advantage of MetaTrader 5's support for working with a trading server.

An issue with user interface on MetaTrader 5 has been addressed to improve ease-of-applications for users transitioning from other platforms. A code adjustment has been made to change selections in MetaTrader 5 to resemble other platforms and provision for notifications has been integrated to alert users about chart object creation ...

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