ONE-TWENTY TWO: Trading Financial Markets
Exploring the poetry in financial markets for students of money and economy since the year 2000.
Yikes. Today was a particularly ugly day for Apple (AAPL) fans and bulls. The stock followed through on weakness from last week’s product event with a MAJOR bearish breakdown below critical support at the 50 and 200-day moving averages (DMAs). This also takes AAPL below its “Icahn support.” (Nightly Business Report blamed news of a … 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 gap down 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 … Read more
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
(This is an excerpt from an article I originally published on Seeking Alpha on September 3, 2013. Click here to read the entire piece.) {snip} Source: FreeStockCharts.com This pullback comes ahead of what should be an exciting several weeks for Apple fans. {snip} Perhaps thanks to Carl Icahn’s famous tweets, the enthusiasm for September’s news … Read more
(This is an excerpt from an article I originally published on Seeking Alpha on August 14, 2013. Click here to read the entire piece.) For a little over three months I have made the case for an Apple (AAPL) bottom (see for example “An Apple Bottom As Sentiment Finally Turns Southward (Put Buying Soars)” and/or … 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 gap down 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 … 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
(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