Artificial intelligence and machine learning are two areas that hold great possibility in the field of finance and investing.
Right now there are AI driven ETFs that consume huge amounts of data, learn from it and and then constantly re-balance a portfolio of securities designed to out-perform the market. It's a fascinating frontier.
How will INVRS adopt this technology while still remaining true to our vision of empowering human analysts?
INVRS was founded on the notion of using technology to automate or make some of the more grueling, time consuming tasks easier, but still keep a human in charge of the creative elements of analysis.
Here are some of the avenues we may develop or are developing currently:
1) Allow users to back-test models to determine efficacy across stocks, industries and the broad market. We expect that our users will find some of their models work better under certain circumstances and with certain industries. This knowledge will help them select the "right tool for the job".
2) Allow users to feed INVRS their own data sets for analytical purposes.
3) Expand the tool set beyond financial parameters to include language recognition.
4) Expand the tool set to include a programmable AI or machine learning interface giving the user the ability to direct the process and outcome.
These are some of the ideas we have. We'd love to hear what you think. Leave your ideas in comments section below or better still, sign-up for a free-trial at INVRS and then let your imagination run wild.