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as of 12-01-2025 3:43pm EST

$24.26
$0.27
-1.10%
Stocks Consumer Discretionary Motor Vehicles Nasdaq

Harley-Davidson is a leading global manufacturer of heavyweight motorcycles across the custom, cruising, and touring segments, as well as related merchandise, parts, and accessories. In recent years, the firm has expanded into the adventure touring market with its Pan America model and into electric with the LiveWire brand. Its captive finance arm, Harley-Davidson Financial Services, provides wholesale financing to dealers and retail financing and insurance brokerage services to customers. Harley captured around 37% of the heavyweight domestic market in 2024.

Frequently Asked Questions

Learn more about our HOG ML prediction model

What parameters are used to train the HOG ML model?

Our stocks HOG ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the HOG ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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