Definition

Model Selection Criteria

Meaning ⎊ Statistical methods for comparing models that balance predictive power against the risk of excessive complexity.
Greeks.liveMay 28, 2026

Model Selection Criteria

Model selection criteria are statistical measures used to evaluate and compare different models to determine which one is the most appropriate for a given task. Common criteria like the Akaike Information Criterion or the Bayesian Information Criterion reward models for their fit while penalizing them for their complexity.

This helps researchers avoid the pitfall of choosing a model that is overfitted. In financial modeling, selecting the right model is critical for predicting price movements or volatility in derivatives.

By using these criteria, developers can systematically compare competing strategies and choose the one that provides the best balance of performance and stability. This process is a key part of the rigorous development cycle required for successful algorithmic trading.

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Glossary

Market Microstructure

Architecture ⎊ Market microstructure, within cryptocurrency and derivatives, concerns the inherent design of trading venues and protocols, influencing price discovery and order execution.

Order Flow

Flow ⎊ Order flow represents the totality of buy and sell orders executing within a specific market, providing a granular view of aggregated participant intentions.

Model Selection

Algorithm ⎊ Model selection within cryptocurrency, options, and derivatives trading centers on identifying the optimal quantitative procedure for pricing, hedging, or forecasting, given inherent market characteristics and data availability.