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 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 are … 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 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 are … 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 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 are … 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 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 are … 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 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 are … 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 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 are … Read more
{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
{And now for something different! This piece was produced for my “Thought Blog” at Ahan Analytics, LLC} On March 20, 2012, the Valley Transportation Authority (VTA) implemented congestion (or dynamic) pricing on a critical San Francisco Bay Area thoroughfare called Highway 237 that primarily connects commuters from the East Bay to the South Bay. This … Read more
For this chartfest, I do not have time to provide extensive commentary. So, this is mostly a visual presentation of the charts with some labels or notes to point your attention to what I think is most interesting from a trading perspective. Feel free to post questions if anything is not clear. Enjoy…! I have … Read more
Autozone (AZO) was a banner stock coming out of the 2001 recession. In 2001 alone, AZO logged a 152% gain. Over the next six years, AZO gained another 67%. During the financial panic in 2008, AZO plunged but did not even come close to erasing all those hard-fought gains. In 2009, the stock barely paused … Read more