Would you use an AI (IBM Watson) powered ICO investment advisor?
Hello Everyone
We are at an IBM Hackaton and we have this idea of using IBM Watson to evaluate the potential of upcoming ICOs. We call it Nicola. We are not promoting it but just looking for a community validation
It is super hard for many average investors to just find a way to evaluate any ICO, and those rating websites out there are pretty crap. Decision is then based on: 1/ feelings for small investors that don't spend too much time on analysis or 2/ a very long time consuming analysis of information available which not many (small) investors can afford.
Therefore we want to simplify this process using AI. We source and analyse a wide variety of historic data (news, forums, ico structure, white paper, team relations...) from the pre-ICOs periods of top performing ICOs to date (best ROI a month after being traded on exchange platforms) and we understand what characteristics a successful ICO has to have. Then we do the same analysis with upcoming ICOs to give an evaluation and chance of success compared to these top performing ICOs.
Since the research is only done once for an ICO but the results could be shown to many users (with later on adjusting the results depending on user's investment preferences), a small fee could be charged per request or per subscription to Nicola.
Validation is key in a hackaton and we just would like direct feedback if it would be something you could use if it proves to be working/successful? If it sounds interesting, validation for us is done by gathering emails from the community to show people would be interested in getting updates: https://nicolaai.wixsite.com/nicola Thanks to the community!
We are at an IBM Hackaton and we have this idea of using IBM Watson to evaluate the potential of upcoming ICOs. We call it Nicola. We are not promoting it but just looking for a community validation
It is super hard for many average investors to just find a way to evaluate any ICO, and those rating websites out there are pretty crap. Decision is then based on: 1/ feelings for small investors that don't spend too much time on analysis or 2/ a very long time consuming analysis of information available which not many (small) investors can afford.
Therefore we want to simplify this process using AI. We source and analyse a wide variety of historic data (news, forums, ico structure, white paper, team relations...) from the pre-ICOs periods of top performing ICOs to date (best ROI a month after being traded on exchange platforms) and we understand what characteristics a successful ICO has to have. Then we do the same analysis with upcoming ICOs to give an evaluation and chance of success compared to these top performing ICOs.
Since the research is only done once for an ICO but the results could be shown to many users (with later on adjusting the results depending on user's investment preferences), a small fee could be charged per request or per subscription to Nicola.
Validation is key in a hackaton and we just would like direct feedback if it would be something you could use if it proves to be working/successful? If it sounds interesting, validation for us is done by gathering emails from the community to show people would be interested in getting updates: https://nicolaai.wixsite.com/nicola Thanks to the community!