QuantEvolver applies reinforcement fine-tuning to evolve an LLM policy for generating executable alpha factor expressions, yielding higher-quality and more complementary factors than prompt-based baselines on market benchmarks.
\ text\ Alpha \ 2\ : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning , June 2024
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AlphaSAGE is a GFlowNet framework with an RGCN structure-aware encoder and dense multi-faceted rewards that mines diverse, novel, and predictive formulaic alphas for quantitative trading.
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From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
QuantEvolver applies reinforcement fine-tuning to evolve an LLM policy for generating executable alpha factor expressions, yielding higher-quality and more complementary factors than prompt-based baselines on market benchmarks.
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AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
AlphaSAGE is a GFlowNet framework with an RGCN structure-aware encoder and dense multi-faceted rewards that mines diverse, novel, and predictive formulaic alphas for quantitative trading.