quantammsim
Contents:
Introduction
Installation
Tutorials
User Guide
Core Concepts
Run Fingerprints
Metrics Reference
Robustness Features
Data Sources
Weight Calculation Paths
Pool Hooks
Per-Asset Weight Bounds
JAX Configuration
API Reference
Glossary
quantammsim
User Guide
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User Guide
Core Concepts
AMM Mechanisms
Weight Update Rules
Understanding Pool Parameters
Training Robustness
Run Fingerprints
Basic Settings
Optimization Settings for Gradient Descent
Optimization Settings for Gradient-Free Descent
Return Metrics
Runtime Behavior
Advanced Settings
Robustness and Regularisation
Other Settings
Implementation Notes
Metrics Reference
Return Metrics
Risk-Adjusted Metrics
Drawdown Metrics
Value at Risk Metrics
RAROC and ROVAR Metrics
Special / Diagnostic Metrics
Choosing a Training Metric
Robustness Features
Price Noise Augmentation
Turnover Penalty
Data Augmentation
Early Stopping
Stochastic Weight Averaging (SWA)
Weight Decay
Ensemble Training
Walk-Forward Validation
Rademacher Complexity
Recommended Workflow
Data Sources
Data Pipeline Overview
Supported Data Sources
Data Format Requirements
Using Custom Price Data
Gap Filling and Amalgamation
Frequency Conversion
See Also
Weight Calculation Paths
Overview
Vectorized Path
Scan Path
Selecting a Path
Pool Support
Numerical Equivalence
Performance Comparison
Implementation Details
Implementing New Pools
Pool Hooks
Using Hooks
Available Hooks
Creating Custom Hooks
Hook Ordering
Per-Asset Weight Bounds
Use Cases
Usage
Algorithm
Restrictions on Bounds
Key Properties
Integration with Run Fingerprints
JAX Configuration
Default Configuration
Backend Selection
Device Placement
Memory Management
Compilation and Caching
Debugging
Performance Tips
Common Issues
Environment Variables Summary