Financial forecasting prediction of the Stock Market has always been an active area of research as it depends upon several complex factors. With the advancement of technology, this research introduces a novel model, “ASTRO-LSTM: An Astrological Market Predictor using LSTM and Planetary Declinations”, to predict Stock Price movements by integrating the Vedic astrological factors (planetary declination) with advanced machine learning techniques such as LSTM (Long Short-Term Memory) networks, a type of recurrent neural network particularly suited for time-series forecasting such as stock market movements. Results demonstrate a significant correlation between the planet’s position and Stock price movements. This interdisciplinary approach bridges the gap between financial forecasting and Vedic astrology and provides insight into the potential of non-traditional factors in market forecasting.