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
On Monday, August 15, 2016, Nightly Business Report (NBR) started its daily broadcast by noting another triple of all-time highs across the major indices – the S&P 500 (SPY), the NASDAQ (QQQ), and the Dow Jones Industrials (DIA). From there, NBR marveled at what it called the calmest market in 75 years. The reporting was … Read more