DEEP REINFORCEMENT LEARNING FOR AUTOMATED CRYPTOCURRENCY TRADING
This research presents a deep reinforcement learning model for algorithmic trading of cryptocurrencies. The aim of the model is to help traders earn greater profits than traditional strategies. Traditional strategies can be used to gain profits. However, this strategy tends to require more knowle...
Saved in:
Main Author: | Shan, Elbert |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/66647 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
DEVELOPMENT OF DEEP LEARNING-BASED RECOMMENDATION SYSTEM FOR CRYPTOCURRENCY TRADING
by: Istiqomah, Widad -
STOCHASTIC CONTROL IN CRYPTOCURRENCY TRADING: A DEEP LEARNING PERSPECTIVE
by: WANG ZEXIN
Published: (2021) -
A deep reinforcement learning approach to automated stock trading
by: Wu, Ziang
Published: (2021) -
DEEP DYNAMICAL MODELS FOR CRYPTOCURRENCY PAIRS TRADING
by: LIM WEN BIN
Published: (2021) -
PAIRS TRADING FOR CRYPTOCURRENCIES
by: HE XINYI
Published: (2021)