1. Home
  2. SST
  3. SST Forecast

as 12-18-2024 9:59am EST

$
-
.
-
-
-
$
-
.
-
-
-
-
.
-
-
%

Stocks

Consumer Discretionary

Diversified Commercial Services

Nasdaq

System1 Inc develops technology and data science to operate a responsive acquisition marketing platform. It serves customers in the areas of health and wellness, automotive, finance, travel, and entertainment. The company's segment includes Owned and Operated Advertising (O&O); and Partner Network. It generates maximum revenue from the Owned and Operated Advertising (O&O) segment.

More About Our SST ML Model...

What kind of parameters do you use to train SST stocks ML model?

To train our stocks SST ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.

How often do you update SST ML model?

We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.

Why is the accuracy of your SST model low?

Unfortunately, our current data provider offers limited historical data, which impacts the accuracy of our ML model. However, as we continue to gather more data over time and add more indicators, we expect the accuracy of our model to improve.

How can I provide and share more data with you to increase your ML model accuracy?

We would greatly appreciate your contribution. Please send an email to [email protected]

Do you offer an ML model for shorter time periods, such as 5 minutes or 15 minutes?

Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.

Can I rely on your ML model to make financial decisions regarding buying or selling stocks, or is it only intended for learning purposes?

Our ML model is primarily designed for educational purposes and is not intended to provide financial advice. We strongly recommend consulting with a financial advisor before making any buying or selling decisions.

Share on Social Networks: