FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

This repository contains our solution to Task 1 of the FinRL Contest 2025: developing a high-performance crypto trading agent using reinforcement learning and LLM-derived market signals.

Initiate multiple trainer scripts allowing to train agents based on the FINRL library

Crypto trading bot using FinRL reinforcement learning model

Building the strong structured code and using FinRL to find the best configurations of agent for multistock trading

Risk-first AI trading R&D→production pipeline for WEEX: RL/ensemble strategies, anti-overfit validation (CPCV/WF), backtesting, and WEEX API execution.

Modular AI trading system using FinRL, multi-agent analysis, and real-time data pipelines.