1. Home
  2. CAG
  3. CAG Forecast

as 07-26-2024 4:00pm EST

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

Stocks

Consumer Staples

Packaged Foods

Nasdaq

Conagra Brands is a packaged food company that operates predominantly in the United States (over 90% of fiscal 2024 revenue). Most of its revenue comes from frozen food, including brands like Marie Callender's, Healthy Choice, Banquet, and Birds Eye. Conagra also sells snacks, shelf-stable staples, and refrigerated food through brands like Duncan Hines, Hunt's, Slim Jim, Vlasic, Orville Redenbacher's, Reddi-wip, Wish-Bone, and Chef Boyardee. The company primarily sells through the US retail channel, with just 9% of fiscal 2024 revenue coming from international markets and 10% from foodservice.

More About Our CAG ML Model...

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

To train our stocks CAG 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 CAG 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 CAG 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: