StockR1 unifies LLM-based financial reasoning and time-series forecasting by emitting verifiable forecast actions that condition a decoder, optimized via consistency-grounded RL to improve accuracy on QA and prediction tasks.
Hats: A hierarchical graph attention network for stock movement prediction
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A game-theoretic heterogeneous graph network models investor interactions to forecast stock prices and outperforms prior methods on two benchmark datasets.
citing papers explorer
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Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs
StockR1 unifies LLM-based financial reasoning and time-series forecasting by emitting verifiable forecast actions that condition a decoder, optimized via consistency-grounded RL to improve accuracy on QA and prediction tasks.
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Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting
A game-theoretic heterogeneous graph network models investor interactions to forecast stock prices and outperforms prior methods on two benchmark datasets.