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The burgeoning complexity and inherent uncertainty of stock market trading strategies, particularly for Index Options, necessitates the need for innovative solutions. Deep learning techniques hold immense promise in navigating this dynamic landscape, offering potent tools for optimizing option selections and strike prices. This project delves into the potential of harnessing a novel Convolutional Neural Network (CNN) architecture to predict optimal price ranges for the NIFTY 50 index, thereby enhancing the effectiveness of index options trading strategies. Drawing upon historical data and rigorous empirical analysis, this study demonstrates the feasibility of this approach, achieving an accuracy rate of 63.22%. Beyond improved forecasting accuracy, the system also provides actionable buy or sell recommendations, empowering investors to navigate the options market with greater confidence and precision.

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Smart Strike Price Recommendations for NIFTY 50 Index Options Using Deep Learning Models

  • 会议论文

  • 发表日期：

    2026年

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  • N. Arul Anand,
  • T. G. Ashwin Kumar,
  • Aditya Varma,
  • Jeyam Palaniappan,
  • Sanjeeva Shekar,
  • R. A. Sashti Amar

摘要

The burgeoning complexity and inherent uncertainty of stock market trading strategies, particularly for Index Options, necessitates the need for innovative solutions. Deep learning techniques hold immense promise in navigating this dynamic landscape, offering potent tools for optimizing option selections and strike prices. This project delves into the potential of harnessing a novel Convolutional Neural Network (CNN) architecture to predict optimal price ranges for the NIFTY 50 index, thereby enhancing the effectiveness of index options trading strategies. Drawing upon historical data and rigorous empirical analysis, this study demonstrates the feasibility of this approach, achieving an accuracy rate of 63.22%. Beyond improved forecasting accuracy, the system also provides actionable buy or sell recommendations, empowering investors to navigate the options market with greater confidence and precision.