T2108 Update (December 3, 2013) – Bears Get An Invitation, But Quasi-Oversold Conditions Temper Their Prospects

(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

Apple Trading Model Refined: Squeeze Resolves Into A Breakout (Includes More Lessons for Execution)

On January 2, 2013, Apple (AAPL) hit $555 and came within $4 of a downward sloping 50-day moving average (DMA). From there, the stock faded hard and closed at $549.03. AAPL has yet to set a new intraday high this year. On (Black) Friday, November 29th, AAPL came within 6 cents of equaling its intraday … Read more

T2108 Update (November 20, 2013) – A Divergence Into Quasi-Oversold Conditions

(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

Apple Earnings Technical Review – October, 2013 Edition

It is that time again – Apple (AAPL) announces its latest earnings on October 28th. This post is another edition of my pre-earnings technical analyses that examines historical data to project the outcome for trading the day following earnings. The short story is that while I remain convinced that AAPL has turned bullish again, the … Read more

T2108 Update (October 22, 2013) – Extreme Overbought Conditions Bring Bear/Bull Opportunity

(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 Update (October 18, 2013) – In the Wake of Fiscal Fiddling, FINALLY Overbought

(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 Update (September 20, 2013) – Another Halt Short of Overbought As Long-Term Technicals Continue Deteriorating

(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

Chart Review: Another Apple Crossroad

On Monday, I was QUICK to declare “a very bearish breakdown for Apple.” Just two days later, the stock has recovered all of Monday’s huge loss and sits on the cusp of a very encouraging recovery or at the precipice of a renewed sell-off. The stock is neatly perched between its 50 and 200-day moving … Read more

A Very Bearish Breakdown for Apple

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

ATM: The Apple Trading Model Refined

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