smq/directoryAn evolving quant resource archive
Paper / 2024SMQ / 163506260067057
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
algorithmic trading / cryptocurrenciesResource overview

A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading

Paper2024

by Bingqiao Luo, Bingsheng He, Nuo Chen, Qian Wang, Xu Liu, Yuan Li

Tags
algorithmic tradingcryptocurrencieslarge language models

Continue on SelfMadeQuant

Understand this paper

Suggested foundations for trading research and honest backtests and text and language models in finance. Specialist prerequisites vary by paper.

Before you read

Go further

Explore a related reading path