Author

Topic: Machine learning and algorithmic trading in the cryptocurrency space (Read 255 times)

jr. member
Activity: 73
Merit: 1

Below you will also find a photo of our initial prototype which is currently in the closed Alpha Testing phase.


This looks pretty neat! Was the closed Alpha Test only for Advanced-level Python users? Could someone with beginner level proficiency get in? Not sure if I could help much with the testing though since I have rudimentary knowledge in Python.
copper member
Activity: 34
Merit: 0
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copper member
Activity: 34
Merit: 0
Certainly looks interesting especially the part where you will give complete noobs the ability to come up with their own bots without needing to know how to

write code.

What makes you better than projects like  https://coinmarketcap.com/currencies/kryll/ or https://coinmarketcap.com/currencies/signals-network/?

If I am not mistaken, they are also working on developing similar systems...

Can we see the initial prototype?

Thanks.


Hi BitPotus, while there are similar projects, there are several details that truly set us apart.
  • Our competitors are more focused on the value of their token, as we focus more on the technology.
  • Cryzen users just log on, run backtests, and deploy algorithms live for free (1 hr of backtester time per day, and 1 live algorithm at any time is free). We only charge a fee on user profits, or if the user makes use of premium services like twitter data, reddit data, ml models, etc. All of our competitors force users to purchase their token in order to use their platforms.
  • We are the only company offering 1 second/orderbook level data for both backtesting and live runs.
  • Cryzen Xen token offers Revenue distribution to all token holders. Every month, 40% of profits are distributed to token holders. Revenue streams include:
    A small fee on user profits
    Premium Service fees (Machine Learning, etc)
    Profits from trading of the Zen fund

Below you will also find a photo of our initial prototype which is currently in the closed Alpha Testing phase.

copper member
Activity: 34
Merit: 0
There is no doubt machine as a role to play in the space, but if humans are excluded from trading  and machines take over their responsibilities how are they going to learn and relearn. I still think the role of machines are over amplified IMO. I have seen many bots making ridiculous trades because man knows how to game them
This is a great idea for a trading tool. Many are looking for the opportunity to develop arbitrary trading algorithms through an online bot development environment. If users will be able to write, test and deploy trading bots then many will use such a platform.

Thank you Chixka000. Users will be able to write and backtest their algorithms against historical data in order to evaluate their effectiveness and tweak them accordingly before deploying them. Although the algorithm makes the trades for you, you are still in control (by writing your algorithm, or template via our simplified UI) giving it a healthy balance of machine and human interaction.
hero member
Activity: 910
Merit: 500
There is no doubt machine as a role to play in the space, but if humans are excluded from trading  and machines take over their responsibilities how are they going to learn and relearn. I still think the role of machines are over amplified IMO. I have seen many bots making ridiculous trades because man knows how to game them
This is a great idea for a trading tool. Many are looking for the opportunity to develop arbitrary trading algorithms through an online bot development environment. If users will be able to write, test and deploy trading bots then many will use such a platform.
member
Activity: 140
Merit: 10
Machine learning interface is the future, so i will be glad to be the part of this project.
hero member
Activity: 1876
Merit: 512
There is no doubt machine as a role to play in the space, but if humans are excluded from trading  and machines take over their responsibilities how are they going to learn and relearn. I still think the role of machines are over amplified IMO. I have seen many bots making ridiculous trades because man knows how to game them
jr. member
Activity: 238
Merit: 1
again using AI technology for algorithm calculations, this will indeed be very accurate, but all of these systems will require a lot of money, beyond the concept of a very good project, hopefully it helps attract many interested people and investors
member
Activity: 504
Merit: 10
such projects are popular with investors, because everyone understands that machine learning and artificial intelligence is the future, and soon more companies will use these methods in their products
member
Activity: 266
Merit: 10
I can’t wait to become a student as I still have a lot to learn in the crypto world.
newbie
Activity: 131
Merit: 0
Have you tested this bot on the exchanges yet, if so are the results published anywhere or is it still in beta?
hero member
Activity: 1050
Merit: 604
Certainly looks interesting especially the part where you will give complete noobs the ability to come up with their own bots without needing to know how to

write code.

What makes you better than projects like  https://coinmarketcap.com/currencies/kryll/ or https://coinmarketcap.com/currencies/signals-network/?

If I am not mistaken, they are also working on developing similar systems...

Can we see the initial prototype?

Thanks.
copper member
Activity: 34
Merit: 0
this is very good, because this project will help traders using algorithmic counts no longer speculation, which will produce an accurate solution to start trading

Thank you, DDDuDiDD. We encourage you to take advantage of our current bounty program and to sign up to stay up to date with news. We look forward to providing users a trading experience like none other!
member
Activity: 392
Merit: 10
this is very good, because this project will help traders using algorithmic counts no longer speculation, which will produce an accurate solution to start trading
copper member
Activity: 34
Merit: 0

The future of Cryzen and Cryptocurrency trading as told by CoFounder Shuvro Biswas




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