Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning
By Jaydip Sen, Hetvi Waghela, Sneha Rakshit
Rating
962
Battle Count: 349
Relevance
8/10
Highly relevant for sector-based trading strategies and stock price prediction in the Indian market
Implementation Complexity
6/10
Requires deep learning expertise and access to historical stock data, but uses a relatively standard LSTM architecture
Reproducibility
3/5
The paper provides details on the LSTM model architecture and data sources, but exact hyperparameters and full implementation details are not provided.
About this paper
Methodology: LSTM-based Deep Learning. Problem types: Time Series Forecasting, Regression.
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