The CDebugLogger class offers a comprehensive logging solution optimized for MQL4/5 environments. It serves as a vital tool for developers focused on precise application monitoring and debugging.

**Key Features:**

- **Multiple Log Levels:** Supports INFO, WARNING, ERROR, and DEBUG levels, enabling developers to filter messages by significance.
- **Timestamp Inclusion:** Customizable timestamps for logging, essential for time-sensitive issue tracking.
- **File Logging:** Includes robust options for file logging, allowing specification of log file paths and CSV format for easier analysis.
- **Contextual Information:** Allows inclusion of function signatures, file names, and line numbers in logs for precise issue pinpointing.
- **Silent Keywords:** Ability to silence logs containing specific keywords to avoid logging sensitive information.
- **Filter Keywords:** En...
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The following provides a straightforward MQL5 code example for an indicator designed to visualize spread[] data values, represented in points. These values are captured by the OnCalculate event handler. The spread data are consistent with those obtained through the CopyRates function when gathering MqlRates data. This example serves as a starting point for developers looking to monitor spread fluctuations accurately. The indicator can be customized further to suit various analytical requirements, allowing traders and developers to integrate spread analysis seamlessly into their trading strategies.
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The following provides a straightforward MQL5 code example for an indicator designed to visualize spread[] data values, represented in points. These values are captured by the OnCalculate event handler. The spread data are consistent with those obtained through the CopyRates function when gathering MqlRates data. This example serves as a starting point for developers looking to monitor spread fluctuations accurately. The indicator can be customized further to suit various analytical requirements, allowing traders and developers to integrate spread analysis seamlessly into their trading strategies.
#MQL5 #MT5 #MQL #Indicator

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A foundational understanding of MQL is crucial for new coders entering the field. A useful script is one that efficiently prints key account metrics for monitoring. Essential fields to access include:

- Account Balance: Provides the current account balance.
- Account Equity: Reflects the net asset value.
- Account Credit: Shows any credit available in the account.
- Account Currency: Indicates the currency in use.
- Account Company: Names the brokerage or financial institution.
- Account Name: Identifies the account holder.

Leveraging these fields can enhance one's capability to assess and manage trading account statuses effectively. This setup aids in developing practical skills in handling account data, thus optimizing the learning process for new MQL developers. Coders can gain valuable experience in data output, a critical aspect of developing robust tra...

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