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Re: SPY Daily Composite
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Re: SPY Daily Composite
As I said, I'm not a student of MP. But there are three measures of central tendency, and if the "value area" is constructed about the number of trades that take place at a given price, I'm assuming that these measures will be so close that any differences won't matter.
As far as range extensions, I believe that they are simply movements beyond the range, but there may be more to it than that. When they occur, of course, the distribution will no longer be symmetrical. It will be skewed. When this occurs, the value area has likely shifted, as it did in the NQ on Friday. Whether it stays there or not remains to be seen on Monday. There are plenty of MP devotees on this site. Shouldn't be hard to find more authoritative answers than mine. |
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Re: SPY Daily Composite
If they're not, then the distribution won't be symmetrical. Your question was based on a symmetrical distribution, a bell curve.
As to letting the trade run, if one receives no reversal signal at the extremes, then he lets it run. No reason to exit for no other reason than arriving at a number. |
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Re: SPY Daily Composite
so, as you can see friday shows a symetrical distribution which then an easily definable standard deviation(range extension ) can be calculated. BUT, Wednesday and Thursday had asymetrical distributions. So the question remains, how does one logically determine standard deviation(range extension ) ?
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Re: SPY Daily Composite
The Market Analyst software isn't required for the standard deviation calculations. Barros states that the 12.5/87.5% fibonaccis make for a good approximation of 3rd STD, as does the 33/66% for value (1st STD).
nic |
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Re: SPY Daily Composite
The previous post should have stated 33/67% (not 66%).
From the CBOT manual: In order to understand how the distribution process relates to market activity, it's important to see the connection between the Market Profile concept and volume. The volume of everything typically falls one, two or three standard deviations from the mean. We're going to relate trading data to this organization. For our purposes, however, we're just going to relate the high volume first standard deviation and the low volume third standard deviation to market activity. The first standard deviation correlates to the value area. This is a high volume area. It shows price acceptance confirmed by use: a fair price area. The third standard deviation correlates to a price excess. This is a low volume area. It shows price rejection: an unfair price area. These low volume price areas are key reference points because they can contain the range. When the market reaches these potential parameters, it can only do one of two things: trade through or reverse direction. nic |
| The Following User Says Thank You to gassah For This Useful Post: | ||
heretodaygone... (04-06-2008) | ||
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