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as 05-08-2025 4:00pm EST

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Based in Chicago, CME Group operates exchanges giving investors, suppliers, and businesses the ability to trade futures and derivatives based on interest rates, equity indexes, foreign currencies, energy, metals, and commodities. The Chicago Mercantile Exchange was founded in 1898 and in 2002 completed its IPO. Since then, CME Group has consolidated parts of the industry by merging with crosstown rival CBOT Holdings in 2007 before acquiring Nymex Holdings in 2008 and NEX in 2018. In addition, the company has a 27% stake in S&P Dow Jones Indices, making the Chicago Mercantile Exchange the exclusive venue to trade and clear S&P futures contracts. Through CME's acquisition of NEX, it also expanded into cash foreign exchange, fixed-income trading, and collateral optimization.

More About Our CME ML Model...

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

To train our stocks CME 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 CME 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 CME 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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