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Regime-Aware Portfolio Management via Retrieval-Augmented LLM-Guided Expert Swit

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1 SIGNALFIRST DETECTED 1 September 2026
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1 Jul
A Three-Phase Foundation Model for Tax-Aware Personalized Portfolio Management

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20 Mar
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control

arXiv:2603.19136v1 Announce Type: cross Abstract: Stock markets exhibit regime-dependent behavior where prediction models optimized for stable conditions often fail during

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9 Jul
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

arXiv:2607.06610v1 Announce Type: cross Abstract: Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among

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25 Sept
Agent Memory with Episodic Retrieval for Financial Decision-Making

arXiv:2609.28771v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in financial analysis and reasoning, inspiring recent advances

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26 Aug
Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment

arXiv:2608.23908v1 Announce Type: new Abstract: Tax-loss harvesting demonstrates consistent benefits to long-term portfolio growth; yet implementing it efficiently often involves

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2 Apr
Self-Routing: Parameter-Free Expert Routing from Hidden States

arXiv:2604.00421v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) layers increase model capacity by activating only a small subset of experts per token, and typically rely

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