A new strategy to visualize wick regions on lower-timeframe charts has been initiated. The primary goal is to enhance the Market Periods Synchronizer, integrating a Wick Visualization Utility. This tool isolates the upper and lower wick regions of higher-timeframe candles, rendering them with semi-transparent rectangles for detailed analysis.

To implement this, several technical steps are crucial. Initialization involves setting up a mutable UI for real-time interactions using a CCanvas bitmap label. This ensures efficient use of screen real estate while maintaining per-chart isolation through specific naming conventions.

The core logic focuses on rendering wicks only when a toggle is active. This involves calculating the top and bottom of candle bodies, and highlighting their wicks distinctly above and below these thresholds. These regions are prog...

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Financial markets present complex challenges due to their volatile nature, demanding sophisticated decision-making processes. Traditional frameworks involve analysts, risk managers, and executives but often struggle with agility and efficiency due to human limitations and hierarchical structures. The advent of AI and automated systems provides a solution by enhancing decision accuracy and speed.

Modern AI research focuses on adaptive software that learns from historical data, recognizing patterns for informed decisions. An intriguing development is Natural Language Processing (NLP) integration, enabling thorough analysis of financial news and forecasts for improved predictions.

The FinCon framework exemplifies progress, simulating professional team workflows with adaptive, multi-agent systems for efficient financial operations and risk management. This innov...

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WaveWeisBarForce is a technical indicator designed to analyze market volume dynamics using the Weis wave methodology. It tracks and accumulates volumes within a trend, resetting when a directional change occurs. The indicator measures intensity by comparing the current wave volume to the largest recent accumulation, offering a window into market behavior. Input parameters include Volume_type, which allows selection between tick and real volume sources, and Intensity for determining the reference bar window.

The indicator provides visual cues with Bullish Levels (1 to 4) in shades of green from light to LIME, and Bearish Levels (1 to 4) from light red to RED. WaveMax highlights the highest volume bar per wave, while WaveClimax indicates when current wave accumulation surpasses historical records. This indicator supports various assets and timeframes...

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Explore how fractals can redefine market analysis in algorithmic trading. By translating trading history and backtests into mathematical expressions, we can uncover new dimensions of strategy development. Learn to apply fractal models to both pricing and trading strategies, leveraging the Bernoulli scheme for probability evaluations with two-state or multi-state systems. This approach not only organizes trading data into actionable insights but also prepares us for complex model analysis. As developers, we gain the tools to convert diverse trading strategies into coherent, data-driven models, potentially enhancing predictive accuracy and trading efficiency in MetaTrader 5 environments.

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#MQL5 #MT5 #DataAnalysis

Developers often need to manage time-specific logic for automated trading systems. This code base provides a straightforward solution to determine if the current time is within a defined time window. The utility requires two input parameters: start time and end time. Integration of this function allows electronic trading algorithms to execute trades only during specified time intervals, ensuring operations occur within designated periods. This implementation is crucial for strategies that rely on temporal conditions, supporting refined control over trading activities based on time-based criteria.

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#MQL4 #MT4 #Code

No-code platforms like BotBrains offer accessible solutions for those interested in automated trading without programming expertise. Users can create complex trading robots by utilizing pre-built blocks that cover a range of functionalities, from simple moving average strategies to intricate spread trading techniques.

In BotBrains, trading robot development starts with defining constants and variables to track trading parameters and indicators. For instance, to implement a moving average strategy, users set up constants for slow and fast moving averages. Variables are then updated with real-time data, ensuring accurate crossover detection.

BotBrains enables integration with Telegram, facilitating real-time updates on trading activities. Debugging and interface creation are supported through a variety of blocks, allowing users to build, test, and ref...

👉 Read | Signals | @mql5dev

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A reliable signal indicator for MetaTrader 5 has been developed, integrating the RSI and a Moving Average (MA) to generate trend-following signals. Ideal for manual traders and suitable as a signal source in Expert Advisors (EA), it provides a non-repainting and clean visual representation.

The logic utilized ensures clarity:
- A Buy Signal is triggered with a Blue Arrow when the closing price exceeds the Moving Average, indicating an uptrend, and the RSI is above 50, confirming bullish momentum.
- Conversely, a Sell Signal appears with a Red Arrow when the closing price falls below the Moving Average, indicating a downtrend, and the RSI is under 50, confirming bearish momentum.

Features include clean, commented code and fully adjustable parameters for RSI and MA periods. Standard MT5 buffers are employed, compatible with iCustom() in EAs.

👉 Read | Calendar | @mql5dev

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Explore the transformative power of the Multi-Timeframe Harmony Index (HI) for MetaTrader 5. By distilling multiple timeframe biases into a single, normalized value between -1.0 and +1.0, HI offers a streamlined decision-making tool with visual clarity through an integrated dashboard. Utilizing a three-bar structural logic and weighted formula, it presents traders with real-time alerts and chart signals, enhancing trading precision. HI's modular design supports both discretionary and algorithmic strategies, exporting data for broader integration across trading systems. User-defined weights and thresholds further tailor its application, making it an indispensable asset for both chart-based and automated trading.

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Explore the creation of an Expert Advisor in MetaTrader 5 using the CChartObjectStdDevChannel class for trading based on volatility channels. Discover the potential of MQL5’s Standard Library with its comprehensive documentation and object-oriented structure to transform manual chart analysis into automated algorithmic strategies. The post covers integrating MQL5 classes like CTrade for order management and discusses the strategy's practical setup, risk management, and testing. Gain insights into utilizing standard deviation for precise channel creation, enhancing both strategy visualizations and trade signal automation in trading environments. Ideal for developers seeking structured, professional-grade trading tools.

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Noise Elimination Technology (NET) has been incorporated into an RSI indicator, functioning similarly to a rolling Kendall rank correlation coefficient. This implementation aids in determining the trend direction of a simple moving average (SMA). It is important to note that NET's trend assessment differs from the SMA slope, leading to occasional discrepancies between the slope and trend color changes. Users should consider using the color change indicator as a signal for potential trend shifts. Prior experimentation with the NET period is recommended to optimize the indicator's effectiveness for trading decisions. Adjustments to the NET period may influence its responsiveness and accuracy.

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The latest discussion focuses on improving the C_Orders class for handling market trades, specifically its capability to interpret messages from the Chart Trade indicator. For NETTING accounts, the existing code efficiently manages open and close positions, including reversals and partial closings. However, challenges arise with HEDGING accounts due to differences in position handling. When "CLOSE ALL POSITIONS" is pressed, the operation executed depends on the account type. A crucial adjustment in the code involves ensuring the proper closure of positions by confirming the match between the symbol in the Chart Trade message and the open position's symbol.

Additional care is required to manage trades involving historical assets. The retrieved ticket number is validated against a magic number to maintain distinct trading strategies within a single Expert Advis...

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The application of machine learning to algorithmic trading presents unique challenges, especially within financial markets. Traditional supervised learning techniques fall short due to the fluid nature of market targets, unlike more defined domains like medicine. In trading, the target is not fixed, leading to methodological hurdles in model prediction. For instance, modeling financial returns or volatility presents diverse difficulties. This ambiguity in defining targets could hinder performance more than data or model weaknesses.

The inconsistency in target definition across various markets highlights the need for adaptable strategies. Performance ceilings in statistical models often result from methodological limitations. By redefining target variables, empirical model adjustments can enhance outcomes. Experimentation reveals that trading success hinges ...

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#MQL5 #MT5 #ML

Sequential bootstrapping is effective for sampling in financial ML, addressing concurrency at its source. Unlike traditional methods that allow redundancy, this method dynamically adjusts probabilities based on temporal overlaps, producing samples with maximally independent observations.

This method demonstrates inefficiencies of standard bootstrap in finance due to label concurrency. Standard bootstrap's reliance on IID observations does not translate well to financial data where observations overlap temporally. This results in a smaller effective sample size and misleading variance estimations.

Sequential bootstrapping adjusts the probability of drawing observations based on their uniqueness to the current sample, minimizing redundancy and enhancing model robustness. Implementing this requires efficient calculation of indicator matrices and uniq...

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#MQL5 #MT5 #FinancialML

ZigZag NK Sound Alerts is designed to notify users with sound, push notifications, or popup alerts when there's a change in the ZigZag bar. This indicator employs three buffers: two dedicated to the ZigZag function itself and one for coloring. By utilizing this tool, users can efficiently monitor ZigZag bar changes without constantly checking their terminals. It's beneficial for those seeking automated notifications to streamline their workflow and enhance market analysis. Such indicators can be integral in maintaining attention to key market shifts while managing multiple tasks effectively.

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The Circle Search Algorithm (CSA), an optimization technique, leverages the geometric properties of circles to balance exploitation and exploration. Its innovative approach, using tangents and angles, offers smooth search space exploration, particularly effective in high-dimensional spaces. CSA adapts agents' positions dynamically, improving convergence and solution quality. Despite some convergence issues, CSA's ability to handle complex problems remains noteworthy. Practical applications include aiding traders and developers in optimization scenarios. Changes to key parameters have enhanced predictability, making this algorithm beneficial for solving challenging optimization tasks in algorithmic trading and beyond.

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Analyzing trading signals on a 15-minute chart involves integrating multiple indicators for precision. The MACD serves to give an early direction indication. A primary signal depends on the Parabolic SAR, signaling buy or sell moments. A buy signal emerges if the third candle ago was below the SMA, with a subsequent candle closing above the SMA, and the SAR switches below the price. Complementarily, if the MACD indicates a bullish move while the SAR flips below the price, but close[1] hasn’t closed above the SMA, wait for up to 5 candles for confirmation.

Conversely, a bearish signal appears when a candle closes below the SMA after a 3-candle sequence, with the SAR transitioning above the price. Aligning such strategies leverages simultaneous or prior MACD confirmation of the trend direction.

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#MQL4 #MT4 #Strategy

Part 38 covers the development of a Hidden RSI Divergence Trading system with slope angle filters in MQL5. This system tracks hidden divergences to identify trend continuation signals, such as hidden bullish and bearish divergences, by analyzing price swings and RSI behavior. The strategy incorporates slope filtering to confirm signal validity, applies tolerance thresholds for pattern reliability, and executes trades with risk controls. The implementation involves defining input parameters, setting global variables, and leveraging helper functions for swing point verification and divergence assessment. Visual angle calculations on charts support signal clarity. The setup includes automated trade management with customizable lot sizes, stop losses, and take profit strategies.

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Short-term trading, including scalping, poses significant challenges for both novice and veteran traders. Many overlook the fundamental importance of higher time frame analysis, resulting in frequent account disruptions. Understanding that price trajectories—from point A to B—primarily originate from higher time frames can change trading outcomes. An expert advisor (EA) built for long-term trends, emphasizing top-down analysis, offers increased accuracy with minimal drawdown.

Engulfing patterns and liquidity purges on higher time frames such as D1, MN, and W1 indicate entry points aligned with overall trend directions. By focusing on these time frames, traders can capture long-term movements effectively. Input parameters in the EA like lot size, stop loss, take profit, and look-back windows ensure adaptable strategies. Engaging with higher time frame analysi...

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In the current phase of our statistical arbitrage project, we focus on integrating the stability of portfolio weights and time to mean reversion. The previous analysis relied on liquidity and cointegration strength but omitted these key aspects. We intend to enhance the scoring system by including these metrics.

Stability of portfolio weights is crucial as dynamic changes in financial markets can destabilize weights, risking a breakdown in mean reversion. Regular testing for weight stability prevents strategy pitfalls and adapts to market shifts. Additionally, the half-life of mean reversion quantifies the time expected for spread deviations to halve, influencing position management and risk exposure. A shorter half-life indicates more frequent trading opportunities with lower capital risk. Understanding and incorporating these factors will refine o...

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A method involves dividing price by volume, using a simple moving average as the price metric. Despite its simplicity, there appears to be no significant predictive value in this approach for forecasting. While it provides a streamlined way to analyze price-volume relations, reliance solely on this method does not yield substantial insights for future price movements. It remains an exercise in examining basic market dynamics rather than a robust forecasting tool. The technique serves better as a supplementary analysis rather than a standalone system for predictions.

👉 Read | Freelance | @mql5dev

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Explore the technical construction of the Butterfly Oscillator, a novel indicator derived from the Butterfly Curve. This oscillator addresses the challenge of cyclical pattern detection and trading strategy development. Programmed in MQL5, it integrates seamlessly into MetaTrader 5, offering traders dynamic adaptability through bar count and price movement. The oscillator adapts to market conditions, with variable step sizes controlling sensitivity. This dual approach enhances predictive accuracy in identifying market entry and exit points. Supporting both long-term and short-term trading strategies, the Butterfly Oscillator is versatile for traders, recommended for integration into advanced trading systems on MetaTrader 5.

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