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Warrior_EA/references/MQL5/Experts/EDL
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AnimateDread 8c66a0fb89 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 
- Tighten MAX_WEIGHT from 1.0e6 to 100.0 to prevent unbounded weight growth.
- Add MIN_ACTIVATION_DERIVATIVE (1e-4) to avoid zero gradients for saturated units.
- Introduce WEIGHT_DECAY (0.01) to decouple decay from Adam updates.
- Add MAX_WEIGHT_DELTA (0.1) to clamp per-step Adam updates and prevent overshoot.
- Apply sign-agreement gate on weight updates in Adam kernel to only apply steps aligned with current gradient direction.
- Fix tanh/sigmoid derivative calculations to use the new floor instead of hard-coded edge-case values.
2026-07-15 21:47:37 -04:00
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Research.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
StudyActor.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
StudyActor2.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
StudyActor2_1.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
StudyActor3.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
StudyModel.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
Test.mq5 fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00
Trajectory.mqh fix(cl): stabilize network training with tighter limits, weight decay, and sign-agreement gate 2026-07-15 21:47:37 -04:00