FINX – Stock Market Forecasting Using Data Analytics
Keywords:
Stock Price Forecasting, Machine Learning, LSTM, Technical Indicators, Data Visualization, Financial Analytics, Retail InvestorsAbstract
Investing in the stock market holds immense potential for wealth creation, yet for many retail investors it remains intimidating and inaccessible due to the complexity and high cost of existing forecasting tools. FinX was conceived to bridge this gap by offering a low-cost, machine learning-based forecasting system that delivers clear, reliable insights into stock price movements. A multi stock comparison dashboard, and mobile or web deployment, all aimed at placing actionable financial intelligence directly in the hands of everyday investors
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References
Python Software Foundation. Python Language Reference, version 3.x. [Online]. Available: https://www.python.org. Accessed: October 9, 2025.
Yahoo Finance Developers. yfinance Yahoo Finance API for Python. [Online]. Available: https://pypi.org/project/yfinance/. Accessed: October 9, 2025.
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Prophet Developers. Prophet Forecasting Library by Facebook. [Online]. Available: https://facebook.github.io/prophet/. Accessed: October 9, 2025.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
