Dogecoin Price Prediction with Machine Learning

Dogecoin is the reason for the recent drop in bitcoin prices. The price of Dogecoin is currently very cheap compared to bitcoin, but some financial experts, including Tesla’s CEO Elon Musk, claiming that we will see a rise in the price of Dogecoin soon. So, if you want to learn how to predict the future prices of Dogecoin, this article is for you. In this article, I will walk you through the task of Dogecoin Price Prediction with Machine Learning using Python.

Dogecoin Price Prediction

Predicting the price of a cryptocurrency is a regression problem in machine learning. Bitcoin is one of the most successful examples of cryptocurrency, but we recently saw a major drop in bitcoin prices due to dogecoin. Unlike bitcoin, dogecoin is very cheap right now, but financial experts are predicting that we may see a major increase in dogecoin prices.

There are many machine learning approaches that we can use for the task of Dogecoin price prediction. You can train a machine learning model or you can also use an already available powerful model like the Facebook Prophet Model. But in the section below, I will be using the autots library in Python for the task of Dogecoin price prediction with machine learning.

Dogecoin Price Prediction using Python

To predict future Dogecoin prices, you first need to get a dataset for this task. So to get a dataset for the Dogecoin price prediction task just follow the steps mentioned below:

1. Visit Yahoo Finance
2. Search for “Dogecoin”
3. Click on “Historical Data”
4. Click on “Download”

After completing the steps mentioned above you will find a dataset of historical prices of Dogecoin in your downloads folder. Now let’s get started with the task of Dogecoin price prediction by importing the necessary Python libraries and the dataset:

         Date      Open      High       Low     Close  Adj Close        Volume
0  2020-05-24  0.193350  0.194625  0.186274  0.186783   0.186783  1.418502e+10
1  2020-05-25  0.186607  0.193194  0.185048  0.192753   0.192753  1.628989e+10
2  2020-05-26  0.192689  0.192902  0.186774  0.187698   0.187698  1.400234e+10
3  2020-05-27  0.187635  0.191591  0.187006  0.190508   0.190508  1.413078e+10
4  2020-05-28  0.190621  0.193574  0.188966  0.191035   0.191035  1.667015e+10

In this dataset, the “close” column contains the values whose future values that we want to predict, so let’s have a closer look at the historical values of close prices of Dogecoin:

Now I will be using the autots library in Python to train a machine learning model for predicting the future prices of Dogecoin. If you have never used this library before then you can easily install it in your system by using the pip command:

• pip install autots

Now let’s train the Dogecoin price prediction model and have a look at the future prices of Dogecoin:

DogeCoin Price Prediction
                Close
2021-05-25  23.625960
2021-05-26  24.655236
2021-05-27  24.642397
2021-05-28  25.270966
2021-05-29  26.182042
2021-05-30  26.204409
2021-05-31  27.254508
2021-06-01  28.709306
2021-06-02  29.425843
2021-06-03  29.497685

Summary

There are many machine learning approaches that we can use for the task of predicting the future prices of Dogecoin. In this article, I introduced you to how you can predict the future prices of Dogecoin by using the autots library in Python. I hope you liked this article on how to predict the future prices of Dogecoin with Machine Learning using Python. Feel free to ask your valuable questions in the comments section below.