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Shing Dhee Cheah on Muck Rack

Shing Dhee Cheah

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Mathematics | Free Full-Text | Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market

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By Chin Soon Ku, Jiale Xiong, Yen-Lin Chen, Shing Dhee Cheah
| MDPI
Abstract : Stock market predictions are a challenging problem due to the dynamic and complex nature of financial data. This study proposes an approach that integrates the domain knowledge of investors with a long-short-term memory (LSTM) algorithm for predicting stock prices. The proposed approach involves collecting data from investors in the form of technical indicators and using them as input for the LSTM model. The model is then trained and tested using a dataset of 100 stocks.
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