No coding or trading experience required. Re-learning process is completely automated and executed on server side. The only thing you have to do is to press "Enter" button and wait approx for 2 minutes.
Wait what? You don't have anything to do but to press the enter button? So where is the essence of trading on that? where is the risk? I'm not into trading bots, but I like the idea of automatic trading however if it happens that all of us will use a trading bot we will just cause a stability in the market since everyone is on waiting line. "No trading experience required" I think that is rigged, it's like offerring free money to anyone who's interested on looking to that platform which I in my opinion a true good to be true thingy.
Yes, that's the case with Neural Networks learning process for the users. We've tried to make everything as simple as possible.
As for "stability in the market and waiting line", it's true if we would've implemented "linear" algorithms based on indicators/chart patterns. When you have only 1 algorithm for a lot of traders it's no doubt it has its liquidity limits.
With Neural Networks it's another case. Each user creates its own custom algorithm via running a learning process. Each algorithm gets its own entry/exit parameters (randomly). Of course, if you running the learning process at the same time on the same historical data set, more likely you'll get pretty similar algorithms.
It's not free money. You have to do your homework. Let me explain:
1/ You have to assess algorithm's historical performance (back-test results)
2/ Even if back-test is positive, there's a certain degree of probability that it'll generate losses in front-test/live trading.
3/ Taking into consideration the aforementioned statement you have to apply risk-management and run "portfolio" strategy. I mean that you have to train 5-10 Neural Netwotks and launch in live trading 5-10 bots based on them.
4/ Every Neural Network-based algorithm has limited lifetime due to ever-changing market. You have to re-learn it or it'll generate "out-of-date signals".
So, risk-management + assessment (which algo and when to re-learn) is completely on user's side.
Neural Networks only generate a decent entry/exit signal in this case.