Have made bundles in rust belt. Have made-- and lost-- bundles in high tech.
Former registered rep, business degree, doing vc and private company investments, while looking for stock picks on a regular basis.
I'm a founder of finbox.io which offers a suite of fundamental investing tools that makes it easy to find undervalued stocks. Finbox.io has been featured in Barron’s Magazine on multiple occasions which can be viewed here: https://blog.finbox.io/barrons-features-finbox-io/. My goal is to help investors of all sizes make fundamentally sound investment decisions in the stock market. I previously worked as an investment banking associate advising business owners, boards of directors and management teams on a broad range of transactions.
I am a retired wall street attorney. I started out specializing exclusively in securities law. As I developed my practice, it morphed into a corporate finance practice specializing in mergers and acquisitions, with the securities law aspects being secondary.
I'm not much for diversification. I tend to put a substantial amount in a few baskets and then watch those baskets very, very carefully.
I Know First is a financial services firm that utilizes an advanced self-learning algorithm to analyze, model and predict the stock market. Co-Founder Dr. Lipa Roitman, a scientist, with over 20 years of experience created the market prediction system. The algorithm is based on artificial intelligence, machine learning and incorporates elements of artificial neural networks as well as genetic algorithms to model and predict the flow of money between 3,000 markets from 3-days to a year: stocks, ETF's, world indices, gold, currencies, interest rates, and commodities. The algorithm outputs a predicted trend as a number, which in turn, is used by traders to identify when to enter and exit the market. While forecasts can be used for intra-day trading, the predictability tends to become stronger over longer time-horizons such as the 1-month, 3-month and 1-year forecasts. Visit us at iknowfirst.com