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as 06-14-2024 4:00pm EST

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Stocks

Technology

Computer Software: Programming Data Processing

Nasdaq

FactSet provides financial data and portfolio analytics to the Global investment community. The company aggregates data from third-party data suppliers, news sources, exchanges, brokerages, and contributors into its workstations. In addition, it provides essential portfolio analytics that companies use to monitor portfolios and address reporting requirements. Buy-side clients account for 82% of FactSet's annual subscription value. In 2015, the company acquired Portware, a provider of trade execution software. In 2017, it acquired BISAM, a risk management and performance measurement provider. In 2022, it completed its purchase of CUSIP Global Services.

More About Our FDS ML Model...

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

To train our stocks FDS 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 FDS 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 FDS 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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