mql5

Discover a technical implementation of the Tillson T3 indicator designed for improved performance. This version calculates 6 EMAs internally, avoiding the use of auxiliary indicator buffers. This approach streamlines operations and enhances efficiency. Developers can access the source code at the AlgoForge repository, structured in multiple files for clarity and ease of understanding. This structured format aids in comprehending the logic and functionality behind the implementation. Ideal for those seeking to understand or incorporate advanced algorithmic elements into their projects.
#MQL5 #MT5 #Indicator #AlgoTrading

The script facilitates creating nearly all standard graphical objects in MetaTrader 5, aiding in rapid visual testing of the ObjectCreate() function along with methods for setting various object properties. It focuses on attributes like coordinates, sizes, fonts, colors, and additional parameters. Upon execution, it replaces any pre-existing objects on the active chart, creating a new one based on the settings.
The script highlights the newly created object to allow for immediate adjustments of reference points or location. Users can select any standard object type using the InpObjectToCreate input parameter, including lines, channels, Gann and Fibonacci tools, Elliot waves, graphical labels, and GUI elements. Each object type has its dedicated creation function with comprehensive attribute settings such as timestamps, price levels, directions, scales, ...
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The recently developed indicator provides functionality for adjusting "Trend Line" objects to a horizontal position on the chart. This is achieved by modifying the price coordinate of the second reference point of these lines, typically positioned on the chart's right side. It allows users to set color and style preferences for these lines, enhancing visibility and analysis. This tool aids in maintaining clean and organized charts, facilitating technical analysis and decision-making. Users can ensure that their trend lines serve as effective visual aids in assessing market movements.
#MQL5 #MT5 #Indicator #TrendLine

Explore the creation of an Expert Advisor in MetaTrader 5 using the 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 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
#MQL5 #MT5 #Trading #Algorithm

ExpPinBar Expert Advisor leverages a strategy centered around the Price Action PinBar indicator to initiate trades based on indicator signals. The tool features advanced trailing functionalities accessible through the trailing library, incorporating mechanisms like classic trailing, Parabolic SAR, and various moving averages such as AMA, DEMA, FRAMA, MA, TEMA, and VIDYA. It also considers High and Low candlestick shadow levels. Critical settings for the PinBar include defining minimum and maximum candle sizes and the position of the body relative to the preceding candle.

To optimize signals, users can adjust parameters like the aspect ratio of shadows. The configuration options for the advisor cover essentials such as position volume, slippage, magic numbers, and dynamic stop loss and take profit points based on PinBar shadows. Trailing settings allow cust...
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In Part 39, a Statistical Mean Reversion system will be developed in MetaQuotes Language 5 (MQL5). This system analyzes in a designated period, computes statistical moments, and identifies reversion higher timeframe confirmations for signal validation. The system includes$BTC
equity-based and fixed lot size trade management, incorporating trailing stops and partial closes. An on-chart dashboard provides real-time updates. Key implementation involves input parameter configuration, library inclusion, statistical calculations, and dashboard setup. By integrating statistical tools and risk controls, the system aims to optimize trade efficiency in volatile markets.
#MQL5 #MT5 #MQL5 #AlgoTrading

The Average True Range (ATR) indicator, introduced by J. Welles Wilder in 1978, remains a crucial tool for analyzing market volatility. It calculates the largest True Ranges over a specified period and provides insights into price movements and trading opportunities. Wilder later introduced smoothing to calm the fluctuations, utilizing a simple moving average typically over a 14-period range.

For those interested in expanding their toolkit, various multi-timeframe indicators and other technical tools are available through CodeBase or the Marketplace. Searching for specific methodologies, such as Alligator, MACD, or Bollinger Bands, can enhance analytical capabilities. Consider leveraging adaptive moving averages or volume-weighted averages to improve predictive accuracy in trading strategies.
#MQL5 #MT5 #ATR #Indicators

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.
#MQL5 #MT5 #Indicator #AlgoTrading

A new indicator employs a volatility filter utilizing three distinct ATR calculations: fast, middle, and slow. The objective is not to forecast price direction but to identify areas where volatility is elevated, indicated by wave crests. This tool can assist traders in pinpointing moments of heightened market activity suitable for trading, offering a clearer view of volatility without inferring market trends. Understanding and applying these ATR-based measurements can help enhance trading strategies by clarifying when market conditions are optimal for action.
#MQL5 #MT5 #Indicator #Volatility

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.
#MQL5 #MT5 #DataAnalysis #Trading

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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A new script introduces a countdown timer for the upcoming bar arrival designed for flexibility and ease of use. Unlike prior releases, this version is a script rather than an indicator, providing unique advantages in its ability to persist and be removed from the chart without complications. The script is developed to function $BTC
seamlessly without relying on iTime or OnTimer, differentiating it from other implementations. This approach simplifies code maintenance and potentially enhances performance by minimizing dependencies on time-based functions. Developers and users might find it particularly useful for situations needing real-time bar transitions in trading environments.
#MQL5 #MT5 #script #Timer

Exploring the #intricacies of the engulfing candlestick pattern, we address its algorithmic application challenges and offer insightful solutions for traders and developers. To extract real value from this classic pattern,$BTC
we differentiate between opening/closing prices and high/low wicks, reducing market noise. By reimagining the pattern as a three-candle setup, we enhance its fit for MetaTrader 5 backtesting, improving practical application. This refined strategy increases net profit while decreasing trade volume, illustrating a more efficient and promising use of capital. Combining these patterns with ATR indicators aids in risk management, demonstrating an effective way to enrich algorithmic trading strategies.
#MQL5 #MT5 #Candlestick #AlgoTrading

A new function is available to convert server times between broker time zones, specifically for stored times of bars, ticks, or economic calendar events. Identifying DST schedules for source and destination servers, whether US, EU, or none, is facilitated using an online script. The function incorporates standard offset notation, like JavaScript, where positive time zones have positive offsets (GMT+3 as +10800) and negative time zones have negative offsets. This contrasts with MQL5’s TimeGMTOffset(), which inverses this relationship. For a thorough understanding and extended functionality, the complete library is accessible online. It comes with additional features for enhanced time zone management.
#MQL5 #MT5 #script #timezone

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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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.
#MQL5 #MT5 #Algorithm #Optimization

Explore the advanced functionalities of the newly developed "Market Period Synchronizer Control Utility" for MetaTrader 5. This Expert Advisor revolutionizes how traders interact with charts by transforming static input parameters into interactive, real-time controls directly from the chart. Key features include instant parameter access, accelerated analysis through a dynamic control dashboard, and modern visual interfaces using CCanvas. This tool allows traders to seamlessly view and control major and minor timeframe structures, enhancing analysis efficiency. The EA promises a user-friendly experience with vertical sliders, toggle switches, and a visually appealing interface, making algorithmic trading more intuitive and efficient.
#MQL5 #MT5 #Indicator #EA

Dive into the groundbreaking MacroHFT framework, a cutting-edge algorithmic trading system designed for the volatile cryptocurrency market, leveraging reinforcement learning for high-frequency trading. MacroHFT breaks conventional barriers by utilizing specialized sub-agents trained for distinct market scenarios, which are then orchestrated by a hyper-agent to form a cohesive trading strategy. This dual-agent system integrates macroeconomic data, allowing real-time adaptation to market volatility and trends. With the innovative use of advanced neural networks and context-aware memory modules, MacroHFT provides a resilient and dynamic solution for traders, promising enhanced performance by addressing the intricate challenges of rapid market fluctuations.
#MQL5 #MT5 #Crypto #HFT

Part 25 of the MQL5 series introduces the development of an Expert Advisor (EA) to automate trading by identifying trend lines for signals. Unlike the previous focus on support and resistance zones, trend lines are used to assess market direction and breakout points.

The EA requires the user to manually draw two trend lines and name them appropriately. It can handle both breakout and reversal trades, setting stop-loss and take-profit levels based on the latest candle's data. By processing the last five candles, the EA detects if a price breaks or reverses from a trend line, ensuring relevant market moves. The use of trend line names and chart IDs enhances precise monitoring and engagement, avoiding unnecessary trades.
#MQL5 #MT5 #AlgoTrading #Strategy

The Bollinger Bands Squeeze is a significant technical signal indicating potential changes in market volatility. Bollinger Bands consist of a middle band (20-period Simple Moving Average) and upper and lower bands calculated as the middle band plus or minus two standard deviations. The squeeze phenomenon occurs when the bands narrow significantly, suggesting an impending volatility shift.

During a squeeze, the market enters a consolidation phase, with low price fluctuations as buying and selling pressure balance. This scenario is a precursor to a breakout with substantial price movement, though the direction—upward or downward—remains uncertain.

Signs of an impending breakout include increased trading volume and other technical indicators like candlestick patterns and RSI. Thus, recognizing a Bollinger Bands Squeeze allows traders to anticipate...
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