models
Unverified ML strategy on Multi by ml4t. BotFinder score 18 out of 100.
Finance-specific models for asset pricing, prediction, and portfolio learning.
Source: github
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models
ml4t-models Finance-native model implementations for latent-factor estimation, stochastic discount factor learning, direct asset prediction, and end-to-end portfolio learning. Documentation: ml4trading.io/docs/models Part of the ML4T Library Ecosystem This library is one of seven interconnected ML4T libraries supporting the research and production workflow described in Machine Learning for Trading. What This Library Does ml4t-models packages paper-faithful model families that are common in modern empirical asset pricing and portfolio learning: - Latent-factor estimators with explicit structural outputs: - PCAModel - RPPCAModel - IPCAModel - CAEModel - Weight-native stochastic discount factor modeling: - StochasticDiscountFactorModel - Direct asset prediction: - SAEModel (SAE = supervised autoencoder) - End-to-end portfolio learning: - LinearFeaturePortfolioModel - LSTMPortfolioModel - DeepPortfolioModel The library is built around finance-native contracts rather than generic tensor trainers: - PersistentPanelBatch for stable-ID panels - CrossSectionBatch for ragged dated cross-sectio
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