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as 07-26-2024 4:00pm EST

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Stocks

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Savings Institutions

Nasdaq

Established in 1865 in Hong Kong, London-based HSBC is one of the largest banks in the world, with assets of USD 3 trillion and 40 million customers worldwide. It operates across 64 countries with around 220,000 full-time staff. Key regions include Asia, Europe, the Middle East and North Africa, and North America. The United Kingdom and Hong Kong are the two largest markets for the bank. The bank offers retail, commercial and institutional banking, global banking and markets, wealth management, and private banking.

More About Our HSBC ML Model...

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

To train our stocks HSBC 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 HSBC 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 HSBC 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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