David Harris is an independent stock market investor and trader with an interest in modeling price movements in stock markets. In particular, David has spent the last ten years developing mathematical models to identify market tops and market bottoms and more recently a model that identifies bubbles in national stock market indices and individual stocks. Trained originally as an Electronic Engineer, David has a First Class Honors Degree in Electronic and Electrical Engineering from Leeds University, UK and a PhD in Adaptive Control Algorithms, also from Leeds University. David has worked as a Senior IT Manager in the City of London and more recently in New York City for a variety of Investment Banks, including NatWest Markets, Bankers Trust, Deutsche Bank, Bank of Bermuda and HSBC Bank.
Software engineer by profession (B.Sc Comp. Sci, Applied Maths, M.Sc Information Technology), journeyman trader/investor with quant leanings. Interested in quantitative, algorithmic & statistical approaches to the markets as well as analysis and application of global macro themes and more traditional approaches (value and growth investing.) Particularly like options as a versatile vehicle for expressing a view and positioning oneself in the market, and particularly short premium/volatility strategies under periods of elevated IV as this tends to put probability on your side.
Direct a nonprofit, actively manage my wife's and my shared retirement / investment funds for future benefit and as hobby. Daily research and investment tracking. Mixed portfolio of stocks, ETFs and a few mutual funds locked into 403 b.