How to handle data imbalance and feature selection problems in CNN-based stock price forecasting

ZD Akşehir, E Kilic - IEEE Access, 2022 - ieeexplore.ieee.org
Stock market forecasting is a time series problem that aims to predict possible future prices
or directions of an index/stock. The stock data contains high uncertainty and is influenced by …

The intraday high-frequency trading with different data ranges: A comparative study with artificial neural network and vector autoregressive models

A Koy, AB Çolak - Archives of Advanced Engineering …, 2024 - ojs.bonviewpress.com
With the High-Frequency Trading process, which is a subclass of algorithmic trading
transactions, intraday information has increasing importance. Traditional statistical methods …

Predicting the stock trend using news sentiment analysis and technical indicators in spark

T Kabbani, FE Usta - arxiv preprint arxiv:2201.12283, 2022 - arxiv.org
Predicting the stock market trend has always been challenging since its movement is
affected by many factors. Here, we approach the future trend prediction problem as a …

Bitcoin cryptocurrency price prediction using long short-term memory recurrent neural network

AB Wardak, J Rasheed - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Due to its growing popularity and commercial acceptance, cryptocurrency is playing an
increasingly essential role in altering the financial system. While many people are investing …

Portfolio management based on a reinforcement learning framework

W Junfeng, L Yaoming, T Wenqing… - Journal of …, 2024 - Wiley Online Library
Portfolio management is crucial for investors. We propose a dynamic portfolio management
framework based on reinforcement learning using the proximal policy optimization …

Makine öğrenmesi ve derin öğrenme algoritmalarını kullanarak hisse senedi fiyat tahmini

S Arslankaya, Ş Toprak - International Journal of Engineering …, 2021 - dergipark.org.tr
Günümüzde borsalar gözde bir dinamik yatırım aracıdır. Ancak bu dinamik yatırım aracı aynı
zamanda ülkenin içinde bulunduğu durumdan, siyasetten, ülkeler arası izlenen …

[HTML][HTML] Forecasting stock market indices using machine learning algorithms

Ž Berislav, J Hrvoje - Interdisciplinary Description of Complex Systems …, 2020 - hrcak.srce.hr
Forecasting Stock Market Indices using Machine Learning Algorithms Skoči na glavni sadržaj
english Prijava i registracija Prijava Promjena načina autentikacije Registracija srce logo …

The role of technical indicators in the intraday prediction of stock markets: artificial neural network models for Borsa Istanbul

AB Colak, A Koy - Scientia Iranica, 2023 - scientiairanica.sharif.edu
In this study, two simulation models have been developed to predict the main stock price
index of Borsa Istanbul (BIST100) with an artificial intelligence approach. In order to analyze …

Istatistiksel ve derin öğrenme modellerini kullanarak hisse senedi fiyat tahmini

E Albayrak, N Saran - Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve …, 2023 - dergipark.org.tr
Borsa analizi, geleceğe yönelik tahminler yapmak için finansal, politik ve sosyal göstergeleri
göz önünde bulundurarak borsayı inceler ve değerlendirir. Büyük veri ve derin öğrenme …

Deep learning based regression approach for algorithmic stock trading: A case study of the Bist30

Y Santur - Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 2020 - dergipark.org.tr
Today, one of the common uses of artificial intelligence is financial markets. In these
markets, which are known as stock market, making price predictions for the future using …