MIA Last updated: 2022-07-01

What is MIA?

MIA is a Deep Learning model that predicts market trends based on news activity. It has been trained with millions of different data points and constantly learns from new situations in the markets, improving its results over time.

How does MIA work?

With MIA, you can follow the news and its impact on the market. You can predict how individual articles impact the market or monitor all news activity for any asset. MIA predicts market trends in 7 different time intervals ('1d', '2d', '3d', '4d', '5d', '6d', '7d').

A quick example:

We have 4 different articles from top sources published on a given day, and we want to know how they will affect the market. We use MIA to predict the impact these articles will have on the market. For each article, we make a request to get the trend forecast. Here are the results:

article1 = [0.97, 0.81, 0.52, 0.86, 0.78, 0.72, 0.94]
article2 = [0.96, 0.75, 0.51, 0.87, 0.82, 0.78, 0.96]
article3 = [0.91, 0.77, 0.54, 0.89, 0.86, 0.78, 0.93]
article4 = [0.96, 0.74, 0.54, 0.93, 0.85, 0.76, 0.91]

average_predictions = [0.95, 0.77, 0.53, 0.89, 0.83, 0.76, 0.94]

Market Impact Analysis

Predicting the market impact of any article.

{
    "content": "Lorem ipsum dolor..."
    "predictions": [{
        0.62, 
        0.56, 
        0.41, 
        0.58, 
        0.66, 
        0.48, 
        0.44
    ]}
    "from": "content"
}