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And back above intraday VWAP @ 72.80 (SPY)

Are you still seeing this as a (failed) ADU?

You don't expect intraday VWAP to act as support today?

Can a weak ADU be weak enough where the midday top does not exceed the earlier (10:15) top?

We have awoken satan @ 666 from its sleep, burning shorts in his rage now.

SDD plunge or short squeeze?

When would you be able to tell if it's a classic ADU, weak ADU or failed ADU?

69.65 was LOD during RTH from 11:54AM to 11:57AM on SPY 1-min chart.

Measured move from the bottom of the IHS: 69.60 -> 70.20 results in 70.20 -> 70.80 @ 12:30pm

What was the exit criteria? Did you re-enter?

I won't quote you, Sal, when discussing TA or SPY matters. To everyone else that cares, cup and handle in the works from 11AM on SPY, line at 70.80 Edit: intercepted by Geithner...

I have 69.66 SPY low from my daily oscillator.

As a relatively newcomer to this thread, I find the real-time commentary by most active posters here highly valuable. Quite often I had to (and still occasionally have to) look up terminology and track references to trading rules discussed here. I realize there's immense information still to be...

I would think Bollinger would be equally useful regardless of the direction of the trend. I typically use daily rather than long intraday bands. What length have you found to be useful with intraday bands?

I'm curious, what are your stats for entries that turn out right vs. wrong?

Your stop is roughly where my long entry signal is currently placed. What gives?

R10 now stands for 10 pts in 10 min?

150 pts drop on the dow since the open by 11AM qualifies a SDD pattern day?

If I could only incorporate the memo in a quantifiable manner into my system... that is of course also the challenge with incorporating other elements that help with identifying reversals, such as R/S, gaps, patterns (e.g. dragon failure), etc.

I look at bollinger bands merely as a "trailing" confidence zone which has statistical significance but little predictive value for any "specific" future price. It's based on standard deviation and normal distribution around a mean (e.g. ~68% for 1 sigma, ~95% for 2 sigma, etc). Prices are not...