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:
- Visit Yahoo Finance
- Search for “Dogecoin”
- Click on “Historical Data”
- 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
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.
Hello, thanks a lot for your valuable article. I followed your code and made this notebook. But my prediction price does not matching to yours. As well there are some suggestions from python shell, which I don’t understand. Please have a look to this notebook and help me to correct the errors.
Here is the notebook link-
The notebook is not accessible, turn on sharing with everyone.