Research Paper Report

LSTM-CNN Hybrid Architecture for Stock Market Prediction using a Multi-Signal Approach

Date of Submission
18th Feb 2026

General Information:

Year Of Paper Submission : 2025-26
Type of Applicant : Student
Selected Course : PG
Department of Applicant : MCA
Class of Applicant : S.Y.MCA

Applicants Details:

UCID of Applicant : 2024510005
Applicant Name : Kiran Bayas
Applicant Email : kiran.bayas24@spit.ac.in
Applicant Contact Number : 9307434147
UCID of Applicant No. 2 : 2024510013
Applicant No. 2 Name : Tejas Desai
Applicant No. 2 Email : tejas.desai24@spit.ac.in
Applicant No. 2 Contact Number : 8369867623
UCID of Applicant No. 3 : 2024510010
Applicant No. 3 Name : Parth Bhoyar
Applicant No. 3 Email : parth.bhoyar24@spit.ac.in
Applicant No. 3 Contact Number : 9511720207

Guide Details:

Department of Guide No. 1 : MCA
Name of First Guide : Prof. Nikhita Mangaonkar
Department of Guide No. 2 : MCA
Name of Second Guide : Prof. Nikhita Mangaonkar

Paper Details:

Title of Paper : LSTM-CNN Hybrid Architecture for Stock Market Prediction using a Multi-Signal Approach
Type of Paper : international
Type of Publication : international
Name of the Conference/journal/publisher : International Conference on Advancement in Futuristic Technologies (ICAFT)
Date Of Conference / Journal / Book : 2025-12-19
Conference_Type : ieee
Name of the Hosting Institute of the Conference : S.G.Balekundri Institute of Technology
Address of Host Institute : .G.Balekundri Institute of Technology, Shivabasava Nagar, Nehru Nagar, Belagavi, Karnataka, India.
ISBN : In-proceeding
Indexed : In-proceeding