Records the rule the removal exposed: validation catches an enum value that no
longer exists, but not one that silently now means something else. Also drops
the stale claim that SL_Mode/TP_Mode define the training target - the
swing-pivot label is geometry-free.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
- Moves CLayer neuron construction to AI/Impl/Layer.mqh to keep Network.mqh clean
- Unifies four previously duplicated architecture initialisation blocks (MLP/CONV/LSTM/HYBRID) into a single shared function
- Eliminates risk of behavioural drift where one architecture missed a setter, causing mismatched feature sets or targets
- Add inline threshold (512) in WarriorCPU to avoid thread-pool overhead for small dispatches; run small workloads inline on the calling thread.
- Reduce training time budget from 500ms to 120ms in ExpertSignalAIBase to keep the UI reactive while training.
