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Is your feature request related to a problem? Please describe.
Yes, accurately predicting stock prices can help investors make informed decisions, potentially increasing returns and minimizing risks in the stock market. However, it is challenging due to the volatile and unpredictable nature of financial markets.
Describe the solution you'd like
I would like to develop a machine learning model using historical stock price data and relevant financial indicators. This model should predict future stock prices with high accuracy, providing actionable insights for investors.
Describe alternatives you've considered
Alternatives considered include using traditional statistical methods, technical analysis, or sentiment analysis from news and social media. However, these methods may lack the predictive power and adaptability of a machine learning-based approach.
Additional context
Screenshot of Tata Motors Price Prediction:
The text was updated successfully, but these errors were encountered:
Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.
@Akshat111111
I am currently a GSsoC'24 Contributor and had already worked on this issue. Till now I was looking for a perfect Project that aligns with my Repo. Glad I found one . Kindly assign me this issue so I can form a pull request.
Is your feature request related to a problem? Please describe.
Yes, accurately predicting stock prices can help investors make informed decisions, potentially increasing returns and minimizing risks in the stock market. However, it is challenging due to the volatile and unpredictable nature of financial markets.
Describe the solution you'd like
I would like to develop a machine learning model using historical stock price data and relevant financial indicators. This model should predict future stock prices with high accuracy, providing actionable insights for investors.
Describe alternatives you've considered
Alternatives considered include using traditional statistical methods, technical analysis, or sentiment analysis from news and social media. However, these methods may lack the predictive power and adaptability of a machine learning-based approach.
Additional context
Screenshot of Tata Motors Price Prediction:
The text was updated successfully, but these errors were encountered: