Abstract: Precise processing of financial big data, which could aid in predicting future Stock Market (SM), can provide insights into market trends. But, the prevailing prediction model lacks in providing secure forecasted outcomes. Hence, this article proposes a secure SM prediction scheme. Primarily, historical SM data along with real-time SM financial data and technical indicators are processed with time series windowing.