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as 07-26-2024 4:00pm EST

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Stocks

Consumer Discretionary

Catalog/Specialty Distribution

Nasdaq

MercadoLibre runs the largest e-commerce marketplace in Latin America, with more than 218 million active users and 1 million active sellers across 18 countries stitching into its commerce network or fintech solutions as of the end of 2023. The company operates a host of complementary businesses to its core online shop, with shipping solutions (Mercado Envios), a payment and financing operation (Mercado Pago and Mercado Credito), advertisements (Mercado Clics), classifieds, and a turnkey e-commerce solution (Mercado Shops) rounding out its arsenal. MercadoLibre generates revenue from final value fees, advertising royalties, payment processing, insertion fees, subscription fees, and interest income from consumer and small-business lending.

More About Our MELI ML Model...

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

To train our stocks MELI 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 MELI 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 MELI 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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