IDEA ABSTRACT
AI Based Stock Market Prediction App Using News Data
Team Name:
Hello World
Team Members:
- C. B. Dev Narayan
- Abhishek P.
- Noble Austine
- Abhin P. T. Project Name: AI Based Stock Market Prediction
Description:
The stock market is a financial marketplace where individuals can buy and sell ownership shares in publicly traded companies. The analysis of trends and changes in the stock market needs to be essentially learned to provide up with useful investment insights for the stakeholders. The daily news plays a key role in these stock market trends. A detailed analysis of the relationship between the news and the stock market can be used for the stock market analysis. Our application used AI-based tools to train and predict the stock market trends of various commodities based on the current news data. There exists a large correlation between the news about a stock and its change in value. For example, A largely negative review of an organization can cause its stock market to plummet • This application would be trained using the current news data related to the stock market and the changes that happen with respect to the news. • The application would also aim to find out the relative change between different stocks (like gold and silver) • The application would be continually developed and made accurate by usage of ML-OPS to make it more accurate. We plan to use elements of NLP (Transformers) and LLMs (GPT) to retrieve and filter data, which would be then fed into an LSTM (Neural Network architecture) model to predict future changes.
Marketing Aspects:
- Stock market investment analysis is a trending and popular field with a large amount of investors
- The variations in the stock market can be accurately predicted using news data
- Accurate predictions of the stock market would result in huge returns for the application.
- Continuous development of the application by the addition of newer inferences would make the predictions more accurat
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