ONE-TWENTY TWO: Trading Financial Markets
Exploring the poetry in financial markets for students of money and economy since the year 2000.
(T2108 measures the percentage of stocks trading above their respective 40-day moving averages [DMAs]. It helps to identify extremes in market sentiment that are highly likely to reverse. To learn more about it, see my T2108 Resource Page. You can follow real-time T2108 commentary on twitter using the #T2108 hashtag. T2108-related trades and other trades … Read more
(This is an excerpt from an article I originally published on Seeking Alpha on August 7, 2013. Click here to read the entire piece.) Tuesday’s trading (August 6, 2013) brought out the taper tantrum jitters again. Officials from the Federal Reserve are once again reminding financial markets about the potential for September to bring the … Read more
(T2108 measures the percentage of stocks trading above their respective 40-day moving averages [DMAs]. It helps to identify extremes in market sentiment that are highly likely to reverse. To learn more about it, see my T2108 Resource Page. You can follow real-time T2108 commentary on twitter using the #T2108 hashtag. T2108-related trades and other trades … Read more
(T2108 measures the percentage of stocks trading above their respective 40-day moving averages [DMAs]. It helps to identify extremes in market sentiment that are highly likely to reverse. To learn more about it, see my T2108 Resource Page. You can follow real-time T2108 commentary on twitter using the #T2108 hashtag. T2108-related trades and other trades … Read more
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