Forex trend analysis using RNN and LSTM models: Predictive analytics through neural networks

Machine learning can be of excellent help to traders and organizations by presenting them with enhanced facts on future developments, permitting them to make better funding or trading choices. A good return also a boost to the economic development of the country. This research paper will study the accuracy of neural network techniques, such as LSTM and RNN models, in predicting the value of INR in comparison to USD using historic statistics. The effects of our analysis imply that both RNN and LSTM can predict efficiently. However, we found that RNNs performed better than LSTMs in terms of accuracy. Finally, the RNN model finished with a prediction accuracy of 99.893%, at the same time as the LSTM model executed with an accuracy of 99.365%.