ONE-TWENTY TWO: Trading Financial Markets
Exploring the poetry in financial markets for students of money and economy since the year 2000.
In early April, 2015, I simplified my Apple Trading Model (ATM). I examined the historical data to determine whether Apple’s (AAPL) open contained all the information needed to trade the stock on the day. I had an “ah ha” moment when I discovered that AAPL tended to trade in the same direction of its open. … 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
To-date, I have been using the 30-Day Fed fund futures as a valuable tool for determining likely (short-term) trading direction for the U.S. dollar index (DXY0). However, since the last Federal Reserve decision on monetary policy on July 27, 2016, these futures have exhibited a lot of volatility and thus a lot of noise (assuming … Read more
In past Housing Market Reviews, I observed a notable shift in housing activity from the West to the South. I have wondered aloud whether this disparity comes from economic choices moving households from relatively expensive markets in the West to relatively more affordable ones in the South. It turns out the IRS has some of … Read more