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behaviour/agressiveness sliders, fix cob data using provider

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Dobromir Popov
2025-07-07 01:37:04 +03:00
parent 9101448e78
commit c2c0e12a4b
4 changed files with 380 additions and 35 deletions
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11
config.yaml
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@ -81,9 +81,9 @@ orchestrator:
# Model weights for decision combination
cnn_weight: 0.7 # Weight for CNN predictions
rl_weight: 0.3 # Weight for RL decisions
confidence_threshold: 0.05 # Very low threshold for training and simulation
confidence_threshold_close: 0.05 # Very low threshold for easier exits
decision_frequency: 30 # Seconds between decisions (faster)
confidence_threshold: 0.15
confidence_threshold_close: 0.08
decision_frequency: 30
# Multi-symbol coordination
symbol_correlation_matrix:
@ -100,6 +100,11 @@ orchestrator:
failure_penalty: 5 # Penalty for wrong predictions
confidence_scaling: true # Scale rewards by confidence
# Entry aggressiveness: 0.0 = very conservative (fewer, higher quality trades), 1.0 = very aggressive (more trades)
entry_aggressiveness: 0.5
# Exit aggressiveness: 0.0 = very conservative (let profits run), 1.0 = very aggressive (quick exits)
exit_aggressiveness: 0.5
# Training Configuration
training:
learning_rate: 0.001