November 9, 2025International Journal For Multidisciplinary ResearchOpen Access

Stock Market Prediction

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Forecasting stock market trends requires advanced techniques in financial time-series forecasting, emphasizing accuracy and applicability.
Model accuracy is evaluated using metrics such as Mean Absolute Error, ensuring reliable predictions for investors.
Analysis is conducted using Python and includes an interactive platform for users to input tickers and parameters easily.
Deep learning approaches in stock analysis may enable better performance in forecasting, indicating a shift in investment strategies.

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Implication

This application demonstrates financial time-series forecasting in the stock market, highlighting the user-friendly interface and error metrics like mean absolute error.

Cite This Study

Thilak et al. (2025) studied this question.

synapsesocial.com/papers/690fdce2f60c54d04ea383dc https://doi.org/10.36948/ijfmr.2025.v07i06.59625

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Implication

This application demonstrates financial time-series forecasting in the stock market, highlighting the user-friendly interface and error metrics like mean absolute error.

Stock Market Prediction

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Implication

Cite This Study

Stock Market Prediction

Key Points

Discussion

Implication

Cite This Study

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