Anomalies-Nifty50-LSTM-Autoencoder. This work demonstrates the use of an LSTM-Autoencoder, implemented using Tensorflow and Keras, to detect anomalies in Timeseries data, using an example of anomalies in the daily closing price of Nifty50, the equity index of the National Stock Exchange.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.