Avi and Solly discuss how Machine Learning can be applied to stock market trading
While exploring the idea of creating complex ML trading bots, cofounders invert the idea and focus on building an open platform for all traders vs a secretive hedge fund.
Built nvest.io site and tools in order to show users & investors what is possible with Machine Learning. Pattern Finder and sample NLP products highlighted. Focus on traditional financial market applications.
Met with local VC's and spoke to many others. None shared our vision of building an expert team from Day 1 and we weren't interested in raising money every 3 months.
Put fundraising on hold and decided to build out technology services locally. Pattern Finder updated to deal with multidimensional data inputs. Bot Builder launched.
As crypto ecosystem began to grow (more tokens to analyze) and with help of our Advisor Mickael, nvest pivoted from focusing on traditional financial market analytics to crypto.
Reached out to few crypto investors and distributed draft of white paper
Watching the rise of crypto focused developer communities made us realize that building and embracing 'creators' is huge advantage crypto offers vs traditional open source.
New site, white paper and project details officially launched
Local technology services added including data collection from social media, wallet info and price/exchange data.
Continued to meet and discuss with various blockchain experts on the possible business structures best suited for nvest. Kept abreast of evolving trends.
Began distributing automatically generated content via social networks. However much testing still needed to see what content works.
First round of private sales launched to investors.
Expanded range of collection and processing services and began migrating (and upgrading) to work in highly optimized cloud stack
Gain investor support to continue project via private and public sales
Enable all team members to work full time on nvest. Add select industry hires
Integrate local data services and processes with existing nvest.io technology stack. Launch Pattern Finder, Bot Builder and beta CryptoSight
Launch core ML services including modern NLP framework, visualization libraries and multidimensional processing. Dashboard UI release
Launch targeted but wide ranging marketing showcasing the nvest platform.
Ensure all processes, user info and blockchain transactions have effective controls. Engage with 3rd parties to perform review.
Launch developer friendly API, with clear documentation, tutorials and content. Attend and sponsor meetup's and selectively target developers to grow nvest's creator community.
Launch token discovery with custom NLP models. Beta portfoliorizer. Create opinionator exchange.
Test new UI and mobile optimized data analytics
Run beta of distributed server processing (ie Sonm) of nvest technology stack. Explore blockchains for optimized user transactions.
