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Discover the Dialectical Algorithm (DA), a novel approach to optimization blending dialectical materialism with modern techniques. DA uniquely splits solutions into speculative and practical thinkers, embracing the opposition of thesis and antithesis to refine results. The…

Effective trade management isn't just about entry points. This article dives into the often-overlooked role of exit strategies in achieving long-term profitability for traders. By exploring methods like trailing stops, partial lot reductions, and multiple entries with varying…

A utility function automates saving the current chart to the default template, streamlining the process compared to manual saves. Users can assign a hotkey for quick access. The operation occurs instantly without confirmation prompts. For saving to a template other than default,…

The last analysis touched upon the first five signal patterns between the Stochastic-Oscillator and Fractal Adapting Moving Average (FrAMA). These patterns showed profitable forward trends in specific market conditions. A focus remained on pairing correct asset types with market…

Explore a pioneering approach in algorithmic trading through biologically-inspired neural models, leveraging the Nobel Prize-winning Hodgkin-Huxley model. Unlike conventional algorithms, this system mimics the brain's ability to process market data, using dynamic, plasma-like…

The inherent complexity of trading systems challenges even experienced developers, as these applications operate in dynamic and chaotic environments. Successfully adapting to market uncertainty remains a core issue, given the infinite nature of market outcomes. While simple…

A new tool is available that focuses on risk management, specifically stop loss and take profit settings. Users must set a negative value for the stop loss, as it does not function with zero input. The tool allows a take profit multiplier based on the stop loss value, aiding in…

Risk management is foundational in automated trading. It regulates open positions by controlling losses according to predefined limits such as daily or weekly constraints. The system also calculates appropriate lot sizes for each trade, optimizing strategy performance and…

In the latest installment of our MQL5 series, we delve into automating the Opening Range Breakout (ORB) technique, using MetaTrader 5's programming capabilities. The ORB strategy involves identifying high and low price levels immediately after market opening and trading based on…

MetaTrader 4/5 has consistently been a preferred platform due to its flexibility, supporting both manual and automated trading. There are specialized toolkits for different trading methods, such as an events-news-calendar for manual traders and a strategy-tester-console for those…

Statistical validation in trading is key to uncovering patterns that might not be immediately apparent from visual analysis alone. The Price Level Testing EA addresses the need for empirical evidence by allowing traders to test specific price levels for their historical…

A new tool provides a visual representation of trading sessions by aligning them with the 24-hour clock. It synchronizes session names with specific hours based on your broker's server time, while also displaying your computer's local time. The active session or any overlaps are…

A comprehensive approach to technical analysis often requires the integration of multiple well-established indicators. By combining different tools such as moving averages, RSI, MACD, and Bollinger Bands, one can enhance decision-making processes. Each indicator provides unique…

Explore an innovative approach to volatility prediction using MetaTrader 5 and Python integration for algorithmic trading. Discover a three-tier architecture where MetaTrader 5 efficiently streams market data, while Python employs libraries like Sklearn and XGBoost to identify…

In the rapidly evolving world of financial markets, efficient data processing and analysis are crucial. The FinMem framework addresses this need by introducing a large language model (LLM)-based trading agent featuring a sophisticated multi-level memory system. This system,…

Copula-based trading strategies offer an innovative approach to statistical arbitrage by modeling dependencies between assets using copula functions. Traditional pairs trading largely relies on temporary divergences from expected relationships, while copulae model non-linear and…

Machine learning algorithms in trading strategies present specific challenges. Address issues like model architecture, algorithm selection, and loss functions carefully. Time series cross-validation is crucial for evaluating model performance, ensuring data integrity, and…

The Ichimoku Edge strategy provides a technical approach using the standard Ichimoku Kinko Hyo indicator with default parameters. It generates trading signals based on the Chikou Span crossing the price line, with confirmation from price and Chikou Span positions relative to the…

Dive into advanced techniques for improving MetaTrader 5 libraries with this insightful article focusing on graphical object events. Discover how you can define precise changes in properties and track the history of modifications, enabling enhanced analytical tools with memory…

The discussed stochastic indicator functions similarly to the built-in version, utilizing high and low prices when default settings are used. However, it offers an alternative by allowing the use of extended, non-standard prices, offering flexibility in analysis. When comparing…