Copyright (C) 2022 Syed Salman Habeeb Quadri
INR (Indian National Rupee), is official currency of India. Exchange rate of USD($) to INR(₹) is one of the most important indicators of health of Indian economy. Inflation in the country is many-a-times linked to the rise in this exchange rate. Hence, forecasting of rupee can give valuable insights of economy to investors and companies.
Although the value of rupee is dependent on market conditions, it also bears a relationship with time. In this project I explore this relationship between exchange rate of INR and time, and forecast rupee value using deep learning LSTM models.
This model is for educational purposes only. The author doesn't claim to predict the real exchange rates, which are dependent on market conditions. By stating this, the author fully discharges himself from responsibility of any financial (or other) damage caused due to reliance on the model present in this project.
The dataset in this project is downloaded from source:- https://finance.yahoo.com/quote/INR=X/history/
The dataset contains USD to INR exchange rate history from 01-12-2003 to 26-05-2022
You can either download the source code from this repo and run it on your local server, or on Google Colab. If you don't know how to use Jupyter notebooks on local server, it is recommended you upload this file on Google Colab and run it there.
This project is licensed under GNU General Public License v3.0. For more details, read the LICENSE and Copyright Notice.
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