1. Home
  2. OUST
  3. OUST Forecast

as 06-20-2024 8:00pm EST

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

Stocks

Technology

Industrial Machinery/Components

Nasdaq

Ouster Inc is a provider of lidar sensors for the automotive, industrial, robotics, and smart infrastructure industries. Ouster's products include high-resolution scanning and solid-state digital lidar sensors, Velodyne Lidar sensors, and software solutions. The company operates in the Americas, Asia and Pacific, Europe, Middle East, and Africa regions. It derives maximum revenue from Americas.

More About Our OUST ML Model...

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

To train our stocks OUST 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 OUST 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 OUST 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: