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AnimateDread b91c7b1f7a refactor(comments): box headers to stdlib length 
The //| box blocks were excluded from 0b06f8e and 5efdb48 and were what
remained: 160 of them ran to 10+ lines, the longest to 88. Compressed to their
leading topic sentences - 5 lines for a function header, 8 for a file header -
keeping the box format and the standard MQL5 name/author lines verbatim.

Verified at the BYTE level this time, across every in-scope file: the list of
non-comment lines is byte-identical to HEAD and braces balance. The first check
compared a locale-decoded 'git show' against a UTF-8 read and flagged 25 files
that had not changed at all - every BOM and every non-ASCII line mismatched.

47,696 -> 40,665 lines in scope; comment share 38% -> 26%.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-22 00:30:14 -04:00
..
GlobalEnums.mqh refactor(comments): box headers to stdlib length 2026-08-22 00:30:14 -04:00
InputEnums.mqh feat(ui): thresholds pick from a dropdown, and the finder arrows are back beside the level lines 2026-08-20 13:50:33 -04:00
README.md feat: Enhance README and documentation for Warrior_EA project 2026-04-20 19:28:34 -04:00

README.md

Enumerations Documentation

GlobalEnums.mqh

Defines the ENUM_SIGNAL enumeration for trading signal states:

  • Buy: Indicates a buy signal.
  • Sell: Indicates a sell signal.
  • Neutral: Indicates a neutral/no-action signal.
  • Undefine: Indicates an undefined or uninitialized state.

InputEnums.mqh

Defines a large set of enumerations for configuration and input parameters used throughout the EA. These include:

  • Custom menu and property enums for UI/configuration.
  • Period presets (e.g., 5, 10, 14, 20, 30, 50, 100, 200) for indicator calculations.
  • Training years presets for ML/AI training window selection.
  • ATR multipliers for volatility-based calculations.
  • Threshold presets for signal/trigger sensitivity.
  • Risk/reward ratio presets for money management.
  • Bars expiration settings for trade/session logic.
  • Entry multipliers for order sizing.
  • Trailing strategy types (none, ATR-based, SAR, MA, etc.).
  • Money management strategies (fixed risk, intelligent, fixed lot, etc.).
  • Day-of-week and session enums for time-based logic.
  • ITF (Intraday Time Filter) settings.
  • Hourly session presets (H1-H23) for time filtering.

Purpose: These enumerations provide a strongly-typed, maintainable way to configure and control the EA's behavior, supporting both traditional and AI/ML-driven logic. They enable dynamic feature selection, risk management, and strategy configuration, and are essential for modular, testable code.

Modernization Note:

  • Enumerations should be referenced in configuration UIs and parameter files to enable dynamic, user-driven feature pipelines.
  • Consider extending enums to support new AI/ML features and dynamic input selection as the EA evolves.