Dalal Ratings: Deep Learning Based Platform for Stock Investors

It is quite difficult to analyze the stocks and make investments in the stock market especially by the small investors. Therefore, it is required to develop a platform for investors to compare stock analyzers/brokers using the real-time rating system. The Dalal rating portal is developed which makes it easy for investors to use the real-time rating system and select whose recommendation to follow. All the data is authentic and is updated daily from the official National Stock Exchange (NSE) website. Further, Long Short-Term Memory (LSTM) Neural Networks are employed for predicting the stock market. The existing platforms provide collective recommendations but cannot verify the same. Hence, the Dalal Rating portal becomes a unique one-stop platform that introduces an automatic broker rating system and also the feature to verify recommendations that are not present in the existing platforms. This portal can filter collective recommendations, access the latest news, perform stock forecasting, and a detailed view of each analyzer, thus, improving the user experience.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/ispcc66872.2025.11039377
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
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Dalal Ratings: Deep Learning Based Platform for Stock Investors

Kanwarpreet Kaur, Neeru Jindal, Kulbir Singh, Jasmeet Singh Wadhwa et al.
Stock Market Forecasting Methods
article

Dalal Ratings: Deep Learning Based Platform for Stock Investors

Kanwarpreet Kaur, Neeru Jindal, Kulbir Singh, Jasmeet Singh Wadhwa, Harmankaur Harjeetsingh Wadhwa
article en

Abstract

It is quite difficult to analyze the stocks and make investments in the stock market especially by the small investors. Therefore, it is required to develop a platform for investors to compare stock analyzers/brokers using the real-time rating system. The Dalal rating portal is developed which makes it easy for investors to use the real-time rating system and select whose recommendation to follow. All the data is authentic and is updated daily from the official National Stock Exchange (NSE) website. Further, Long Short-Term Memory (LSTM) Neural Networks are employed for predicting the stock market. The existing platforms provide collective recommendations but cannot verify the same. Hence, the Dalal Rating portal becomes a unique one-stop platform that introduces an automatic broker rating system and also the feature to verify recommendations that are not present in the existing platforms. This portal can filter collective recommendations, access the latest news, perform stock forecasting, and a detailed view of each analyzer, thus, improving the user experience.

Thapar Institute of Engineering & Technology (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Stock Market Forecasting Methods
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