MQL5 Algo Trading
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CandlesticksData script, developed for MetaTrader 5, facilitates the transfer of detailed candlestick data into a CSV file. Its primary function is to structure this data across various timeframes, aiding in quantitative analysis, strategy backtesting, and educational exploration. Traders can leverage this for informed decision-making by recognizing trends, patterns, and market behaviors. The script allows integration with external software for advanced analyses, including statistical or machine learning applications.

Upon initialization, it defines properties and sets variables, supporting timeframe selection from minutes to months. Data collection is executed within the OnStart function, gathering key metrics: Open, High, Low, Close prices, tick volume, total volume, spread, and candlestick characteristics such as size and type. Captured data is fo...
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Explore the realm of correlation analysis with a deep dive into Pearson's chi-square test of independence and the correlation ratio. This article elucidates how these tools evaluate dependencies between random variables, offering insights beyond mere linear analysis, particularly in realms like stock price increments. Highlighting features like the CHI2Test indicator, learn to detect hidden relationships and assess the non-linearity of dependencies. Comprehensive scripts like Crosstab and Crosstab_Models enhance your ability to test hypotheses related to correlation dependence and linearity. These techniques are crucial for traders and developers aiming to uncover complex relationships and refine their algorithmic trading strategies.
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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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