AI RESEARCH
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
arXiv CS.LG
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ArXi:2603.21330v1 Announce Type: cross We present FinRL-X, a modular and deployment-consistent trading architecture that unifies data processing, strategy construction, backtesting, and broker execution under a weight-centric interface. While existing open-source platforms are often backtesting- or model-centric, they rarely provide system-level consistency between research evaluation and live deployment.