A survey of forex and stock price prediction using deep learning
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable
area of study. Deep learning applications have been proven to yield better accuracy and …
area of study. Deep learning applications have been proven to yield better accuracy and …
Reinforcement learning in financial markets
TL Meng, M Khushi - Data, 2019 - mdpi.com
Recently there has been an exponential increase in the use of artificial intelligence for
trading in financial markets such as stock and forex. Reinforcement learning has become of …
trading in financial markets such as stock and forex. Reinforcement learning has become of …
Adaptive stock trading strategies with deep reinforcement learning methods
The increasing complexity and dynamical property in stock markets are key challenges of
the financial industry, in which inflexible trading strategies designed by experienced …
the financial industry, in which inflexible trading strategies designed by experienced …
A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets
A Shavandi, M Khedmati - Expert Systems with Applications, 2022 - Elsevier
Algorithmic trading based on machine learning is a developing and promising field of
research. Financial markets have a complex, uncertain, and dynamic nature, making them …
research. Financial markets have a complex, uncertain, and dynamic nature, making them …
An application of deep reinforcement learning to algorithmic trading
This scientific research paper presents an innovative approach based on deep
reinforcement learning (DRL) to solve the algorithmic trading problem of determining the …
reinforcement learning (DRL) to solve the algorithmic trading problem of determining the …
Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang transform
A Dezhkam, MT Manzuri - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Portfolio formation in financial markets is the task of not taking non-necessary risks.
Quantitative investment powered by machine learning has opened many new opportunities …
Quantitative investment powered by machine learning has opened many new opportunities …
[HTML][HTML] Foreign exchange currency rate prediction using a GRU-LSTM hybrid network
The foreign exchange (FOREX) market is one of the biggest financial markets in the world.
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …
More than 5.1 trillion dollars are traded each day in the FOREX market by banks, retail …
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis
M Ayitey Junior, P Appiahene, O Appiah, CN Bombie - Journal of Big Data, 2023 - Springer
Background When you make a forex transaction, you sell one currency and buy another. If
the currency you buy increases against the currency you sell, you profit, and you do this …
the currency you buy increases against the currency you sell, you profit, and you do this …
Deep learning-based exchange rate prediction during the COVID-19 pandemic
This study proposes an ensemble deep learning approach that integrates Bagging Ridge
(BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks …
(BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks …
Stock market prediction via deep learning techniques: A survey
Existing surveys on stock market prediction often focus on traditional machine learning
methods instead of deep learning methods. This motivates us to provide a structured and …
methods instead of deep learning methods. This motivates us to provide a structured and …