DOI: 10.1109/icodsa55874.2022.9862934
ABSTRACT: In recent years, machine learning and deep learning techniques have been frequently used in Algorithmic Trading. Algorithmic Trading means trading Forex, stock market, commodities, and many markets with the help of computers using systems created with various technical analysis indicators. The BTC/USD market is a market that allows buying and selling of products. People aim to profit by buying and selling in the Bitcoin market. Reinforcement Learning (RL) was also helpful in achieving those kinds of goals. Reinforcement learning is a sub-topic of machine learning. RL addresses the problem of a computational agent learning to make decisions by trial and error. For our application, it is aimed to make as much profit as possible. This study focuses on developing a novel tool to automate currency trading like a BTC/USD in a simulated market with maximum profit and minimum loss. RL technique with a modified version of the Collective Decision Optimization Algorithm is used to implement the proposed model. Feature engineering is also performed to create features that improve the result.
– The paper proposes a novel tool for automated cryptocurrency trading.
– Reinforcement learning and feature engineering are used to improve trading performance.
– The paper proposes a novel tool for automated cryptocurrency trading.
– Reinforcement learning and feature engineering are used to improve trading performance.
– The paper proposes a novel tool for automated cryptocurrency trading.
– Reinforcement learning and feature engineering are used to improve trading performance.
Methods used:
– Development of a novel tool for automated currency trading.
– Use of reinforcement learning and feature engineering to maximize profit.
– The paper develops a novel tool for automated currency trading.
– Reinforcement learning and feature engineering are used to improve results.
– Machine learning and deep learning techniques used in Algorithmic Trading.
– Reinforcement Learning (RL) and feature engineering used for cryptocurrency trading.
– The paper focuses on using machine learning and deep learning techniques in cryptocurrency trading.
– It aims to develop a tool for automated currency trading with maximum profit and minimum loss.
In this article , the authors used reinforcement learning (RL) to automate currency trading like a BTC/USD in a simulated market with maximum profit and minimum loss, where RL technique with a modified version of the Collective Decision Optimization Algorithm is used to implement the proposed model.