Mattbusel/FinRL_DeepSeek_Crypto_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.
This trading agent helps quantitative traders and fund managers automate cryptocurrency trading decisions. It takes in real-time market data and news sentiment, then outputs buy/sell signals and manages your crypto portfolio. Traders can use it to develop and test complex crypto trading strategies.
Use this if you are a quantitative crypto trader or fund manager looking to automate your trading strategies using advanced AI models and real-time market insights.
Not ideal if you are new to crypto trading, do not understand the risks involved, or are looking for simple, manual trading advice.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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