Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition
Accurate and reliable multi-step-ahead forecasting of stock price indexes over long-term
future trends is challenging for capital investors and decision-makers. This study developed …
future trends is challenging for capital investors and decision-makers. This study developed …
Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms
WC Lin, CF Tsai, H Chen - Applied Soft Computing, 2022 - Elsevier
Text mining techniques have demonstrated their effectiveness for stock market prediction
and different text feature representation approaches,(eg, TF–IDF and word embedding) …
and different text feature representation approaches,(eg, TF–IDF and word embedding) …
Assessing Text Mining and Technical Analyses on Forecasting Financial Time Series
A Lashgari - arXiv preprint arXiv:2304.14544, 2023 - arxiv.org
Forecasting financial time series (FTS) is an essential field in finance and economics that
anticipates market movements in financial markets. This paper investigates the accuracy of …
anticipates market movements in financial markets. This paper investigates the accuracy of …
A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators
Stock price prediction generates interesting outputs for investors. In recent years, stock
technical indicators (STI) have played an important role in stock price prediction. However …
technical indicators (STI) have played an important role in stock price prediction. However …
Essays on forecasting time series with machine learning techniques
A Lashgari - 2024 - search.proquest.com
This dissertation consists of three essays on forecasting time series with machine learning
techniques, delving into different financial and economic domains. The first essay …
techniques, delving into different financial and economic domains. The first essay …
Stock Recommendation System for Better Investment Plan
D Lokesh, V Vani, N Karthik - 2024 International Conference …, 2024 - ieeexplore.ieee.org
In the volatile landscape of financial markets, making well-informed decisions for intraday
trading and long-term investment necessitates an integrated analysis of real-time stock data …
trading and long-term investment necessitates an integrated analysis of real-time stock data …
Stock Price Prediction based on Optimized Attribute and Cascaded Machine Learning Algorithm
RK Yadav, M Sivakkumar - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The wealth of currency and nation depends on the growth of the stock market. The prediction
of stock price varies according to their parameters such as open price, close price and strike …
of stock price varies according to their parameters such as open price, close price and strike …