Better than that mate, it can place the bets for you even! Once the Oraculum portal is released in 2019, you'll be able to pay to have access to the predictions and it will be able to tell you the teams to bet on also at this point.
I would like to see how it fares with a larger scale amount of betting first though ;)
Ah I don't bet THAT big, after some good wins I am betting anywhere from $50 - $100 on sports matches. But would be interesting if it could handle huge transactions and many at once.
I have found with some of my bets that some players with worse odds win and I lose out on some of my money. It's good to check wins and losses and compare them.
This is a fantastic post. Followed! Thank you for this clear and concise write up. The project looks very interesting.
Magos' method is effectively the same as 'burning' unsold tokens. Therefore, investors don't have to worry about a potential price crash when the currency reaches exchanges.
This is good. I was looking to see the number of tokens per ETH, but maybe I missed it when I was reading through the article.
The way it works is that the AI is, in theory, able to make profit from the markets I've talked about above.
Thanks for the response mate... it's good to know some people read the whole article!
In terms of Ether per token, I am not sure but this doesn't really matter anyway because you can't tell whether a Crypto is cheap or not based on token price; it's all about the starting market cap hence I went through that instead!
The potential is definitely there for the project, now we just have to see a greater number of samples from their test to see if it is profitable in the long-term ;)
Thanks man , you deserve
Resteem, vote and follow 👏🏼
Great article 👍🏻
resstimin it!!!
If it can let me know the best teams to bet on and I get a good ratio of wins/s of say at least 6:1, I am down for the profit making. :P
Better than that mate, it can place the bets for you even! Once the Oraculum portal is released in 2019, you'll be able to pay to have access to the predictions and it will be able to tell you the teams to bet on also at this point.
I would like to see how it fares with a larger scale amount of betting first though ;)
Ah I don't bet THAT big, after some good wins I am betting anywhere from $50 - $100 on sports matches. But would be interesting if it could handle huge transactions and many at once.
Another application is picking the ideal purchases based on under and overvalued player for professional football clubs. That could be huge I think
I have found with some of my bets that some players with worse odds win and I lose out on some of my money. It's good to check wins and losses and compare them.
This is a fantastic post. Followed! Thank you for this clear and concise write up. The project looks very interesting.
Magos' method is effectively the same as 'burning' unsold tokens. Therefore, investors don't have to worry about a potential price crash when the currency reaches exchanges.
This is good. I was looking to see the number of tokens per ETH, but maybe I missed it when I was reading through the article.
The way it works is that the AI is, in theory, able to make profit from the markets I've talked about above.
This would be great. Here is the ANN on bitcointalk, for anyone interested:
https://bitcointalk.org/index.php?topic=2087842
I also sent a request to join your fb group. I like what I see so far!
Thanks for the response mate... it's good to know some people read the whole article!
In terms of Ether per token, I am not sure but this doesn't really matter anyway because you can't tell whether a Crypto is cheap or not based on token price; it's all about the starting market cap hence I went through that instead!
The potential is definitely there for the project, now we just have to see a greater number of samples from their test to see if it is profitable in the long-term ;)
@heavey got you a $7.59 @minnowbooster upgoat, nice! (Image: pixabay.com)
Want a boost? Click here to read more!
This post has received a 10.28 % upvote from @booster thanks to: @heavey.