AI

There are two ways to train and deploy an adaptive machine learning model - live deployment and historical backtesting. In both cases, our Enigma AI runs/simulates periodic retraining of models as shown in the following figure, therefore is automatically training and learning at the same time.

Our bot automatically downloads the proper amount of data needed to ensure training of a model through the defined, All predictions made during the lifetime of a specific model are stored in our historic_predictions database.

We Utilizing Diverse Prediction Models:

Enigma AI prediction models offer a range of options to cater to various needs.

When it comes to prediction models, there are two primary types: regression and classification. Regression models forecast continuous values, such as predicting the price of BTC for tomorrow. On the other hand, classification models predict discrete values, such as determining whether the price of BTC will increase or decrease tomorrow.