English
Related papers

Related papers: Cryptocurrency Price Forecasting Using XGBoost Reg…

200 papers

Thanks to the high potential for profit, trading has become increasingly attractive to investors as the cryptocurrency and stock markets rapidly expand. However, because financial markets are intricate and dynamic, accurately predicting…

The volatility and complex dynamics of cryptocurrency markets present unique challenges for accurate price forecasting. This research proposes a hybrid deep learning and machine learning model that integrates Long Short-Term Memory (LSTM)…

Machine Learning · Computer Science 2025-06-30 Mehul Gautam

The uncertainties in future Bitcoin price make it difficult to accurately predict the price of Bitcoin. Accurately predicting the price for Bitcoin is therefore important for decision-making process of investors and market players in the…

Statistical Finance · Quantitative Finance 2019-09-04 Samuel Asante Gyamerah

Cryptocurrencies have gained significant attention in recent years due to their decentralized nature and potential for financial innovation. Thus, the ability to accurately predict its price has become a subject of great interest for…

Machine Learning · Computer Science 2024-10-21 Arthur Emanuel de Oliveira Carosia

The ability to identify stock market trends has obvious advantages for investors. Buying stock on an upward trend (as well as selling it in case of downward movement) results in profit. Accordingly, the start and end-points of the trend are…

Computational Finance · Quantitative Finance 2021-04-20 Ekaterina Zolotareva

In modern times, the cryptocurrency market is one of the world's most rapidly rising financial markets. The cryptocurrency market is regarded to be more volatile and illiquid than traditional markets such as equities, foreign exchange, and…

Statistical Finance · Quantitative Finance 2024-12-03 Anika Tahsin Meem

In recent years, cryptocurrencies have attracted growing attention from both private investors and institutions. Among them, Bitcoin stands out for its impressive volatility and widespread influence. This paper explores the predictability…

Statistical Finance · Quantitative Finance 2025-04-29 Grégory Bournassenko

This paper introduces CryptoAnalytics, a software toolkit for cryptocoins price forecasting with machine learning (ML) techniques. Cryptocoins are tradable digital assets exchanged for specific trading prices. While history has shown the…

Computational Engineering, Finance, and Science · Computer Science 2024-09-09 Pasquale De Rosa , Pascal Felber , Valerio Schiavoni

The cryptocurrency market is amongst the fastest-growing of all the financial markets in the world. Unlike traditional markets, such as equities, foreign exchange and commodities, cryptocurrency market is considered to have larger…

General Finance · Quantitative Finance 2020-04-06 Fan Fang , Waichung Chung , Carmine Ventre , Michail Basios , Leslie Kanthan , Lingbo Li , Fan Wu

At present, cryptocurrencies have become a global phenomenon in financial sectors as it is one of the most traded financial instruments worldwide. Cryptocurrency is not only one of the most complicated and abstruse fields among financial…

Statistical Finance · Quantitative Finance 2020-05-20 Reaz Chowdhury , M. Arifur Rahman , M. Sohel Rahman , M. R. C. Mahdy

Experience has shown that trading in stock and cryptocurrency markets has the potential to be highly profitable. In this light, considerable effort has been recently devoted to investigate how to apply machine learning and deep learning to…

Machine Learning · Computer Science 2022-05-18 Mohammadmahdi Ghahramani , Hamid Esmaeili Najafabadi

This study evaluates the performance of 41 machine learning models, including 21 classifiers and 20 regressors, in predicting Bitcoin prices for algorithmic trading. By examining these models under various market conditions, we highlight…

Trading and Market Microstructure · Quantitative Finance 2024-07-29 Abdul Jabbar , Syed Qaisar Jalil

An accurate prediction of house prices is a fundamental requirement for various sectors including real estate and mortgage lending. It is widely recognized that a property value is not solely determined by its physical attributes but is…

Machine Learning · Computer Science 2024-02-07 Hemlata Sharma , Hitesh Harsora , Bayode Ogunleye

Cryptocurrency markets are experiencing rapid growth, but this expansion comes with significant challenges, particularly in predicting cryptocurrency prices for traders in the U.S. In this study, we explore how deep learning and machine…

Machine Learning · Computer Science 2025-08-05 Md Zahidul Islam , Md Shafiqur Rahman , Md Sumsuzoha , Babul Sarker , Md Rafiqul Islam , Mahfuz Alam , Sanjib Kumar Shil

Few assets in financial history have been as notoriously volatile as cryptocurrencies. While the long term outlook for this asset class remains unclear, we are successful in making short term price predictions for several major crypto…

Trading and Market Microstructure · Quantitative Finance 2019-12-02 David Zhao , Alessandro Rinaldo , Christopher Brookins

Forecasting cryptocurrencies as a financial issue is crucial as it provides investors with possible financial benefits. A small improvement in forecasting performance can lead to increased profitability; therefore, obtaining a realistic…

Computational Finance · Quantitative Finance 2024-05-01 Hulusi Mehmet Tanrikulu , Hakan Pabuccu

Bitcoin is firmly becoming a mainstream asset in our global society. Its highly volatile nature has traders and speculators flooding into the market to take advantage of its significant price swings in the hope of making money. This work…

Machine Learning · Computer Science 2021-10-29 Nathan Crone , Eoin Brophy , Tomas Ward

In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin…

Pricing of Securities · Quantitative Finance 2020-02-04 Aniruddha Dutta , Saket Kumar , Meheli Basu

The paper studies the linear model for Bitcoin price which includes regression features based on Bitcoin currency statistics, mining processes, Google search trends, Wikipedia pages visits. The pattern of deviation of regression model…

Statistical Finance · Quantitative Finance 2022-01-11 Bohdan M. Pavlyshenko

Machine learning and AI-assisted trading have attracted growing interest for the past few years. Here, we use this approach to test the hypothesis that the inefficiency of the cryptocurrency market can be exploited to generate abnormal…

Physics and Society · Physics 2019-04-09 Laura Alessandretti , Abeer ElBahrawy , Luca Maria Aiello , Andrea Baronchelli
‹ Prev 1 2 3 10 Next ›