1. Home
  2. FICO
  3. FICO Forecast

as 07-26-2024 4:00pm EST

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

Stocks

Consumer Discretionary

Business Services

Nasdaq

Founded in 1956, Fair Isaac Corporation is a leading applied analytics company. Fair Isaac is primarily known for its FICO credit scores, which is a widely used industry benchmark to determine the creditworthiness of an individual consumer. The firm's credit scores business accounts for most of the firm's profits and consists of business-to-business and business-to-consumer services. In addition to scores, Fair Isaac also sells software primarily to financial institutions for areas such as analytics, decision-making, customer workflows, and fraud.

More About Our FICO ML Model...

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

To train our stocks FICO 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 FICO 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 FICO 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: