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Stock Market Forecasting Methods
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction.
86
Works
IDs:OpenAlex
How has Stock Market Forecasting Methods's publication output changed over time?
ScholarIQpublication output · 2006–2023
Output declined50% over the shown period — from 2 works in 2006 to 1 in 2023.
2
1
3
1
1
1
4
1
1
200620072014201520182020202120222023
What are the most-cited papers on Stock Market Forecasting Methods?
ScholarIQmost cited works
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
Jigar Patel, Sahil Shah, Priyank Thakkar, Ketan Kotecha
Expert Systems with Applications. 20141,114 Citations
Applications of deep learning in stock market prediction: Recent progress
Weiwei Jiang
Expert Systems with Applications. 2021696 CitationsOPEN ACCESS
Predicting stock market index using fusion of machine learning techniques
Jigar Patel, Sahil Shah, Priyank Thakkar, Ketan Kotecha
Expert Systems with Applications. 2014609 Citations
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
Dang Lien Minh, Abolghasem Sadeghi‐Niaraki, Huynh Duc Huy, Kyungbok Min, Hyeonjoon Moon
IEEE Access. 2018268 CitationsOPEN ACCESS
Multi-attribute fuzzy time series method based on fuzzy clustering
Ching‐Hsue Cheng, Gary Cheng, Jun Wang
Expert Systems with Applications. 2006190 Citations
Where is Stock Market Forecasting Methods research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Stock Market Forecasting Methods is open access?
ScholarIQopen access share
20%OPEN ACCESS
Gold
13%
Green
7%
Hybrid
0%
Bronze
0%
Closed
80%
Related on ScholarIQ
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
Paper
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics
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Applications of deep learning in stock market prediction: Recent progress
Paper
Predicting stock market index using fusion of machine learning techniques
Paper
Transfer learning for time series classification
Paper
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
Paper