forked from animatedread/Warrior_EA
| Filename | Latest commit message | Latest commit date |
|---|---|---|
e9c562b39f
- Introduced `FeatureScale.mqh` with `FeatSquash` function for stateless feature scaling. - Added `RegimeMath.mqh` class for regime arithmetic, including efficiency and variance calculations. - Documented the Mind trading logic in `MIND.md`, detailing the trading process and modes. - Created `VOLNORM_PLAN.md` and `VOLNORM_RESULTS.md` for tick-volume normalization testing. - Implemented `read_book.py` for analyzing trade book data and correlations. - Developed `volnorm.py` for testing tick-volume normalization with new and old methods. |
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| .. | ||
| AccountGuard.mqh | ||
| AltDataFeed.mqh | ||
| BarCache.mqh | ||
| DipMeta.mqh | ||
| FeatureScale.mqh | ||
| ManagementNet.mqh | ||
| PrintVerbose.mqh | ||
| README.md | ||
| RegimeMath.mqh | ||
| TradeChecks.mqh | ||
| TradeLog.mqh | ||
| WarriorNet.mqh | ||
System Subsystem (System/)
Overview
The System/ directory contains utility and infrastructure code for the Warrior EA. These modules provide essential services such as new bar detection, conditional logging, crash-safe file writes and trade validation, supporting robust and maintainable EA operation.
Key Components
NewBar.mqh
- Function:
NewBar() - Purpose: Detects the arrival of a new bar (candle) on the chart.
- Logic: Compares the current bar's time with the last seen bar time. Returns true if a new bar is detected.
- Integration: Used for event-driven logic, e.g., only executing logic once per bar.
PrintVerbose.mqh
- Function:
PrintVerbose(string message) - Purpose: Conditional logging based on a
VerboseModeflag. Prints messages only if verbose mode is enabled. - Integration: Useful for debugging and development without cluttering logs in production.
Documented April 2026. For further details, see the main project documentation.