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How to handle data imbalance and feature selection problems in CNN-based stock price forecasting
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 …
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
With the High-Frequency Trading process, which is a subclass of algorithmic trading
transactions, intraday information has increasing importance. Traditional statistical methods …
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 …
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 …
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 …
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 …
zamanda ülkenin içinde bulunduğu durumdan, siyasetten, ülkeler arası izlenen …
[HTML][HTML] Forecasting stock market indices using machine learning algorithms
Forecasting Stock Market Indices using Machine Learning Algorithms Skoči na glavni sadržaj
english Prijava i registracija Prijava Promjena načina autentikacije Registracija srce logo …
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
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 …
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 …
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 …
markets, which are known as stock market, making price predictions for the future using …