|
|
|
|
|
Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang and Shuxi Wang
Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Data science in finance helps to prov...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Santosh Kumar Sahu, Anil Mokhade and Neeraj Dhanraj Bokde
Forecasting the behavior of the stock market is a classic but difficult topic, one that has attracted the interest of both economists and computer scientists. Over the course of the last couple of decades, researchers have investigated linear models as w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sherin M. Omran, Wessam H. El-Behaidy and Aliaa A. A. Youssif
A cryptocurrency is a non-centralized form of money that facilitates financial transactions using cryptographic processes. It can be thought of as a virtual currency or a payment mechanism for sending and receiving money online. Cryptocurrencies have gai...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alamir Labib Awad, Saleh Mesbah Elkaffas and Mohammed Waleed Fakhr
Stock value prediction and trading, a captivating and complex research domain, continues to draw heightened attention. Ensuring profitable returns in stock market investments demands precise and timely decision-making. The evolution of technology has int...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jacopo Fior, Luca Cagliero and Paolo Garza
In the last decade, cryptocurrency trading has attracted the attention of private and professional traders and investors. To forecast the financial markets, algorithmic trading systems based on Artificial Intelligence (AI) models are becoming more and mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Souleles
Pág. Finance an - 29
This article presents a close, dialogue-based ethnographic account of a group of contemporary options market makers making a decision about pricing options in Tesla, Inc. Careful attention to their deliberations reveals how the rise of algorithms and aut...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gil Cohen
Pág. 256 - 261
This research examines whether candlesticks patterns can predict trends swings. Our results indicate that well known two days "Engulfing" pattern have failed to produce a positive gain while the "Harami" pattern has barely succeeded to do so. A more comp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Violeta Todorovic,Aleksandra Pe?terac,Nenad Tomic
Pág. 255 - 268
The way in which financial markets operate has substantially been changed by the development of information technology. Automation of trading systems in financial markets represents the last phase of depersonalizing activities previously done by traders....
ver más
|
|
|
|
|
|