Apple Trading Model – Preparing for A Potential Change In Trading Patterns

Trading in Apple is likely to make a notable change in the coming weeks and months. The Apple Worldwide Developers Conference (WWDC) begins June 2nd. According to my analysis of trading around the WWDC since 2000, traders treat this event as a “buy the rumor, sell the news” kind of event (see “Buy The Rumor, … Read more

Using Machine Learning To Tease Out A Dynamic Pricing Algorithm

{Time for something different again! This piece is a follow-up and is originally posted on my Thought Blog with Ahan Analytics, LLC: http://ahan-analytics.drduru.com/thoughtblog/2013/12/07/machine-learning-dynamic-pricing/} On November 29, 2013, I wrote a piece titled “Not Worth the Cost: A 17-Month Case Study of Congestion Pricing in the SF Bay Area.” In that piece, I presented data I … Read more

ATM: The Apple Trading Model Refined

For over two months, I have gained some valuable experience and lessons putting the formalized Apple Trading Model (ATM) into practice. I have experienced two main challenges: 1) balancing the sometimes conflicting messages of the ATM when using different amounts of historical data, and 2) plain old execution. For challenge #1, I have concluded that … Read more

ATM: The Apple Trading Model Formalized

I finally took some time to further formalize the Apple Trading Model (ATM). To-date, I have described this in extensive detail showing Apple’s (AAPL) daily trading patterns and post-earnings trading patterns. I took these lessons (updated periodically in other posts) and created a very simple dataset as a foundation for running a regression tree (a … Read more