Crypto trading has evolved to the point where many people are able to make a viable income dealing various crypto assets. However they are limited by human error. The need for sleep, emotion as well as the need for sleep.

Even hunger can have a much greater bearing on our decisions than we realise. The hungry judge study showed that judges considering parole of prisoners followed over a 10 month period allowed parole 65% of the time after lunch compared to near 0% just before lunch.

These human factors affect our decisions without us realising. Machines do not have these same failings, they can reliably and predictably execute trades based on pre-defined parameters without and inconsistency.

Machine learning has been more regularly by stock market investment firms, to great benefit. However due to the infant nature of the cryptocurrency space, the trading mechanisms which are successfully employed in the much more established world of Wall Street investments are not yet fully utilized in the blockchain space.

The basic idea behind using machine learning to define investment strategy is two-fold. Firstly it removes the human element. Computer algorithms make consistent, logical decisions. Humans are subject to bias and emotions.

The psychological factors behind investments can lead to a number of traps which humans regularly fall into. Fear of missing out or “fomo” for example.

This is a psychological condition where human investors will invest in an already booming asset in the fair that they will miss the opportunity. The more likely result is that the asset which has already boomed will likely drop.

A properly programmed bot will not fall into this trap and will invest with a more patient strategy.

This is especially relevant to the cryptocurrency space where many investors are from a younger demographic, making their first ever investments.

The second major area machine learning can be applied to blockchain investment is in data analysis. Every day that crypto’s have been traded, data has been created.

This is a resource which is vastly under utilized. Not only can it be used to test the programming of a bot before letting it loose on the markets, it can be used to refine an investment strategy.

By analysing past data, a computer can spot patterns and reliably predict the future direction of an asset based on those pattern in a way that no human could.

This is exciting tech to apply to the world of blockchains which makes this a great ICO in my opinion. The need is there. The solution is offered and that is a recipe for success.

Do your own research and consider joining the ICO at https://signals.network