Open Citations

The Comparison of Gold Price Prediction Techniques Using Long Short Term Memory (LSTM) And Fuzzy Time Series (FTS) Method

Putry Shan Alodia Surya Pangestu, Abdul Rochman, Ahmad Zuhdi

Intelmatics · 2023

View Citing Source Indexed via Openalex

The Research on the Prediction of Cryptocurrency Based on Linear Regression and LSTM

Feng Ding

Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences · 2023

View Citing Source Indexed via Openalex

The Role of Artificial Intelligence Prediction in Stock Market Investors Decisions

Bayan Albaooth

IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) · 2023

View Citing Source Indexed via Openalex, Opencitations

The Wisdom of Crowds and Stock Price Prediction

Mahsima Kazemi Movahed, Ahmad Khalili Jafarabad, Saeed Rouhani, Hamid Reza Yazdani, Babak Sohrabi

Journal of Money and Economy · 2023

View Citing Source Indexed via Openalex, Opencitations

Time Series Based Data Analysis and Prediction for the Relationship Between China Concept Stock Price and Government Regulatory Policy

Jiahe Fang, Jianheng Huang

2023

View Citing Source Indexed via Openalex

Time-Sensitive Index Future Trading Trend Prediction with Deep Learning methods

Zheng Yu, Llewellyn Tang, Yashi Wang, Kwong Wing Chau, Siu‐Yeung Cho

Research Square · 2023

View Citing Source Indexed via Openalex, Opencitations

Transformers Versus LSTMs for Electronic Trading

Paul Bilokon, Yitao Qiu

SSRN Electronic Journal · 2023

View Citing Source Indexed via Openalex

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting

Chu Myaet Thwal, Ye Lin Tun, Kitae Kim, Seong-Bae Park, Choong Seon Hong

International Conference on Information Networking · 2023

View Citing Source Indexed via Openalex

Transforming Finance Through Automation Using AI-Driven Personal Finance Advisors

Parth Pangavhane, Shivam Kolse, Parimal Avhad, Tushar Gadekar, N. K. Darwante, Sanket Chaudhari

International Conference on Computation, Automation and Knowledge Management (ICCAKM) · 2023

View Citing Source Indexed via Openalex, Opencitations

Utilizing LSTM-RNN Algorithm in a Multi-Factor Model for Forecasting Investment Portfolio Returns

Trần Trọng Huỳnh, Bùi Thành Khoa

International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) · 2023

View Citing Source Indexed via Openalex, Opencitations

Predicting Stock Prices Using LSTM

Citing Works

The Comparison of Gold Price Prediction Techniques Using Long Short Term Memory (LSTM) And Fuzzy Time Series (FTS) Method

The Research on the Prediction of Cryptocurrency Based on Linear Regression and LSTM

The Role of Artificial Intelligence Prediction in Stock Market Investors Decisions

The Wisdom of Crowds and Stock Price Prediction

Time Series Based Data Analysis and Prediction for the Relationship Between China Concept Stock Price and Government Regulatory Policy

Time-Sensitive Index Future Trading Trend Prediction with Deep Learning methods

Transformers Versus LSTMs for Electronic Trading

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting

Transforming Finance Through Automation Using AI-Driven Personal Finance Advisors

Utilizing LSTM-RNN Algorithm in a Multi-Factor Model for Forecasting Investment Portfolio Returns

Confirm Your Share