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as 06-12-2024 2:34pm EST

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Stocks

Consumer Discretionary

Business Services

Nasdaq

WNS (Holdings) Ltd is a Global provider of business process management (BPM) services, offering comprehensive data, voice, analytical, and business transformation services with a blended onshore, nearshore and offshore delivery model. The company's segment includes Banking/Financial Services, and Insurance; Travel, Shipping/Logistics, and Utilities; Manufacturing/Retail/Consumer, Hi-tech/Professional Services, and Procurement; Healthcare/Life Sciences. Geographically the company generates the majority of its revenue from North America (primarily the US), followed by the UK. The company also has a presence in Australia, Europe (excluding the UK), and South Africa.

More About Our WNS ML Model...

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

To train our stocks WNS 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 WNS 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 WNS 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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