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FinRL-X: AI-Native Modular Infrastructure for Trading

AI-native modular infrastructure for quantitative trading. Unifies data, strategy, backtesting, and execution. Paper

arxiv.orgPublished Mar 22, 2026
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Screenshot unavailableResource information and source links remain available. FinRL-X: AI-Native Modular Infrastructure for Trading — reviewed source website screenshot
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Overview

AI-native modular infrastructure for quantitative trading. Unifies data, strategy, backtesting, and execution. Paper

Topics & capabilities

quant-platformpaperframeworkbacktesting

Publication information

Publication title
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Authors
Hongyang Yang, Boyu Zhang, Yang She, Xinyu Liao, Xiaoli Zhang
Published
Mar 22, 2026
Last publication revision
Mar 22, 2026
Subject areas
q-fin.TR, cs.LG, q-fin.CP
Publication source
arxiv.org · abs/2603.21330v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2603.21330 ↗

Discovery references

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Explore related resources

Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
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DeepIntoStreams/TSFM_Finance

github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
96 Authority 96 / 100 Cited by 2 resources in this directory 2 discovery sources Directory record updated: 2026-10-11 How scoring works →

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