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as 11-21-2024 4:00pm EST

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Stocks

Nasdaq

Versus Systems Inc offers a suite of proprietary business-to-business software tools that are meant to drive user engagement through gamification and rewards. These tools allow its partners to offer in-game prizes and rewards, including merchandise, coupons, digital goods, and sweepstakes entries - inside their websites, their venues, or their streaming media content. Its customers are mostly sports teams, venues, and advertising agencies, which typically use its products as part of their live events or as part of an advertising campaign with the goal of engaging fans, increasing consented first-party data, and increasing sales. The company operates in Canada and the USA.

More About Our VSSYW ML Model...

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

To train our stocks VSSYW 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 VSSYW 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 VSSYW 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.

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