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
The National Association of Realtors (NAR) delivered some history-making news in its quarterly Metropolitan Median Area Prices and Affordability and Housing Affordability Index for the second quarter of 2016. According to the NAR “…for the first time ever, a metro area – San Jose, California – had a median single-family home price above $1 million.” … 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