Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade
A Thakkar, K Chaudhari - Computer Science Review, 2024 - Elsevier
Stock market is one of the attractive domains for researchers as well as academicians. It
represents highly complex non-linear fluctuating market behaviours where traders …
represents highly complex non-linear fluctuating market behaviours where traders …
Indonesian stock price prediction including covid19 era using decision tree regression
KM Hindrayani, TM Fahrudin, RP Aji… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Predicting stock prices is an interesting field in Data Mining. There are many variables
affecting stock prices. Especially in this covid19 era which impacts in economy, the stock …
affecting stock prices. Especially in this covid19 era which impacts in economy, the stock …
Discovery and prediction of stock index pattern via three-stage architecture of TICC, TPA-LSTM and multivariate LSTM-FCNs
H Ouyang, X Wei, Q Wu - IEEE Access, 2020 - ieeexplore.ieee.org
In this study, we attempt to discover and predict stock index patterns through analysis of
multivariate time series. Our motivation is based on the notion that financial planning guided …
multivariate time series. Our motivation is based on the notion that financial planning guided …
[PDF][PDF] Prediksi Harga Saham Indonesia pada Masa Covid-19 Menggunakan Regresi Pohon Keputusan
Prediksi harga saham adalah area Data Mining yang menarik. Banyak variabel yang
mempengaruhi harga saham. Harga saham menjadi fluktuatif, terutama di era covid-19 …
mempengaruhi harga saham. Harga saham menjadi fluktuatif, terutama di era covid-19 …
A Comparative Analysis of Deep Learning and Traditional Statistics for Stock Price and Return Forecasting
PK Aritonang, SK Wiryono… - Global Business & …, 2024 - search.proquest.com
Purpose: This study aims to present a comparative analysis of various statistical, machine
learning, and deep learning models for predicting stock prices and returns across sectors on …
learning, and deep learning models for predicting stock prices and returns across sectors on …
Prediction of Stock Index Pattern via three-stage architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs
A Shaik, N Bisht, V Kumar, N Raghvendra… - Journal of Algebraic …, 2022 - publishoa.com
In this study, we attempt to identify and forecast stock indicator patterns using the analysis of
multivariate time series. Our argument is based on the idea that pattern exploration and …
multivariate time series. Our argument is based on the idea that pattern exploration and …
[PDF][PDF] Discovery and Prediction of Stock Index Pattern via three-stage architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs (February 2019)
H Ouyang, X Wei, Q Wu - scholar.archive.org
In this study, we attempt to discover and predict stock index patterns through analysis of
multivariate time series. Our motivation is based on the notion that financial planning guided …
multivariate time series. Our motivation is based on the notion that financial planning guided …