S, Nareshsarathy and Enllawar, Aadhya (2024) Stock Market Predictions Using Moving Average and LSTM Techniques. In: Proceedings of the EAI 3rd International Conference on Intelligent Systems and Machine Learning, ICISML 2024, January 5-6, 2024, Pune, India.
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Abstract
This research aims to predict stock market movements by combining Long Short-Term Memory (LSTM) deep learning with moving average analysis. The goal is to create a reliable model for forecasting stock prices by leveraging historical data. Due to the stock market's complexity and volatility, speciali
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:56 |
| Last Modified: | 16 Apr 2026 22:55 |
| URI: | http://eprints.eai.eu/id/eprint/50493 |
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