The S&P 500 is widely considered as a standard when analysing the US stock markets. The project detects sudden fluctuations in a time series data like the index data over and above a certain threshold. Used keras api backed by tensorflow and built an LSTM auto encoder to predict the anomaly behavior. The model accuracy is about 98%.