Cryptocurrency Trading Strategies and Profitability Based on Deep Learning Algorithms

Abstract

Quantitative trading replaces the traditional subjective judgment mode based on modern digital model, so as to avoid irrational investment decisions under extreme conditions. This processing method has important research and application value in many fields such as stock and foreign exchange. Especially in the context of increasingly strong research on deep learning algorithms, judgment analysis on Cryptocurrency trading strategies and profitability has also received attention from all walks of life. Therefore, on the basis of understanding the current development of the stock market and the overall state of China's economy, this paper combines the stock prediction model with deep learning as the core, and constructs corresponding trading strategies on the basis of understanding the prediction results to improve the actual profitability.