Hey everyone! I'm Rene, and I have spent about 30 years leading software engineering organizations of up to 100 people at companies like Amazon, Groupon and Paylocity. I was always interested in the stock market and was looking for a solution that will provide me with interesting trading opportunities based on sound methodologies. Everything I found was either sites with vague success statements or gut-feeling picks dressed up in analysis. So I decided to build this for myself. As I got the first set of results, friends and coworkers kept asking me if I would share that list. That's when I got the idea of making my own analytics a product. Stockdataanalytics.com scans about 6,000+ stocks daily across NASDAQ and NYSE, searching for stocks that show at least one of the 16 bullish chart patterns the system detects. Once a pattern gets detected, it gets scored across three dimensions: Structure, Volume and Breakout Readiness. We continually improve on the detectors and the scoring mechanism to ensure we give our customers the highest possible quality output. My biggest surprise was that textbook perfect patterns are performing worse than messier ones. When patterns are textbook perfect, they are easier to spot and these trades get crowded, resulting in less opportunity. So this system is providing opportunities that are not as easy to spot; ones that many traders overlook. I was also surprised how hard it is to improve prediction quality. We are at 60% right now and the goal is 75% - meaning that 75% of recommendations will outperform the market in the subsequent two weeks. Currently, we deliver curated picks by 6am ET every trading day. Users can visit our site to check out some of our top picks that day or sign up for a two-week free trial. The site has a blog explaining the methodology in more detail. I am happy to answer any questions here.

Stock Data Analytics

Daily stock picks from 6,000 pattern scans, backed by data

Daily stock picks from 6,000 pattern scans, backed by data