A comprehensive review of machine learning for financial market prediction methods

RM Dhokane, OP Sharma - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Financial market prediction is an important task for placing an investor's hard-earned money
in the financial market to earn profit. Many parameters affect the financial market's valuation …

[图书][B] Regresi linier untuk prediksi jumlah penjualan terhadap jumlah permintaan

WI Rahayu, A Trigunawan, R Andarsyah - 2020 - books.google.com
Page 1 REGRESI LINIER UNTUK PREDIKSI JUMLAH PENJUALAN TERHADAP JUMLAH
PERMINTAAN Graph 50 40 30 20 10 0 Item 1 Item 2 Item 3 Item 4 Item 5 AJIS TRIGUNAWAN …

Short-term PM2. 5 forecasting using exponential smoothing method: A comparative analysis

S Mahajan, LJ Chen, TC Tsai - Sensors, 2018 - mdpi.com
Air pollution is a global problem and can be perceived as a modern-day curse. One way of
dealing with it is by finding economical ways to monitor and forecast air quality. Accurately …

A new approach to forecasting Islamic and conventional oil and gas stock prices

MG Asl, OB Adekoya, MM Rashidi, JA Oliyide… - International Review of …, 2024 - Elsevier
In order to make more informed investment decisions, it becomes increasingly critical to
forecast stock prices. Given the abnormality of financial markets, predicting the stock market …

TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data

F Sasani, R Mousa, A Karkehabadi, S Dehbashi… - arXiv preprint arXiv …, 2023 - arxiv.org
Stock market forecasting has been a challenging part for many analysts and researchers.
Trend analysis, statistical techniques, and movement indicators have traditionally been used …

Analysis and prediction of Indian stock market: a machine-learning approach

S Srivastava, M Pant, V Gupta - International Journal of System Assurance …, 2023 - Springer
Prediction of financial stock market is a challenging task because of its volatile and non-
linear nature. The presence of different factors like psychological, sentimental state, rational …

[PDF][PDF] Stock market forecasting techniques: A survey

R Sutkatti, D Torse - International Research Journal of Engineering …, 2019 - academia.edu
In recent years, forecast of stock exchange has gained lot of interest. Stock forecast helps
investors or individuals interested in stock to know in which stock to invest, to get high rate of …

User2vec: A novel representation for the information of the social networks for stock market prediction using convolutional and recurrent neural networks

P Eslamieh, M Shajari, A Nickabadi - Mathematics, 2023 - mdpi.com
Predicting stock market trends is an intriguing and complex problem, which has drawn
considerable attention from the research community. In recent years, researchers have …

Prediksi Harga Saham Menggunakan BiLSTM dengan Faktor Sentimen Publik

N Afrianto, DH Fudholi, S Rani - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
Stock market is one economic driver. It has roles in growth and development of a country.
Stock is an attractive investment due to the huge profit. Many people buy and sell their stock …

Seasonal temperature forecasting using genetically tuned artificial neural network

Rakhee, MN Hoda, S Bansal - International Journal of Information …, 2024 - Springer
A sudden change in the air's temperature can be harmful to crops and fields. Since air
temperature greatly affects many facets of agriculture, such as crop rotation, pest infestation …