Cryptocurrency funds Costs Prediction: Ml Investments Method (XGBOOST)

Cryptocurrency Price Prediction: Machine Learning Trading Algorithm (XGBOOST)

Evgeny Rodygin –
If you want to utlilise the power of machine learning to predict price in cryptocurrency you need to be paying attention to the right things.

Today we’ll be looking at the XGBOOST algorithm and how it has been applied in other industries and also how you can use it in the crypto space.

You’ll see here the link to data and machine learning is fundamental to the bigger picture.

Understand the opportunity in this space and how you can use this to your advantage.

#cryptocurrency #machinelearning #cryptoalgorithm


Hey there – thanks for stopping by! We are Crypto Wizards! We help a range of people from crypto newbies to aspiring data junkies to make money in ways others have missed.

We access cryptocurrency arbitrage opportunities, tools, and machine learning data that we share exclusively with our limited members.

Our belief is that change is happening right now in the marketplace. If you are willing to learn and develop your own trading tools, you’ll have a unique advantage.

►Check out our website here:
► Start your Machine Learning & Trading journey:


Thanks for taking the time to watch this video! We hope that it gave you a behind-the-scenes insight into the world of cryptocurrency!

If you found it useful – hit the like button and share it with a friend.

Also, leave us a comment with any questions, feedback or thoughts and we’ll get right back to you!

Don’t forget to subscribe to this channel to learn more about cryptocurrency, trading and investing.

Video Rating: / 5

4 Antworten auf „Cryptocurrency funds Costs Prediction: Ml Investments Method (XGBOOST)“

  1. I like you dude, I really do. But you need to be careful about not talking out of your ass. I recognize those datasets and I feel like I got an inference your exposure to this topic is fairly mild considering a lot of those data sets/results came from copy and pasted online classes. If you ever felt like shooting a message feel free to, but I won't elaborate more on a public forum since I work competitively in the field. You're just so close and yet so far

Schreibe einen Kommentar

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert.