Ok, traderNik, let's see if I can answer these questions. My response may actually give you more questions than answers but those questions may be answered in the example I'll post in a little while:
------------------------------------------------------------------------------My latest summary of your approach (I realize now when you posted that link to Anek which said 'This is the trigger - a short on a break of support', you didn't mean that you were shorting, you meant that pattern guys are shorting that break, right?).---------->>>> Right, that's a classic short trigger out of whatever kind of technical analysis books you may have read. I read Technical Analysis of Stock Trends, by Edwards and Magee. When I started studying the stock market I went straight to the bible.
1. Prices through the day are randomly distributed (The F Distribution, although I am just inferring what that means, I have almost no sadistics beyond normal distro and understanding fat tails and mean reversion).---------->>>> Most often the price movement for the entire day resembles and F-Dist with normal dist's within that curve. However, I have seen days that are normal and days where the F-Dist has two fast tails, one skewed left and one skewed right. This kind of day is extremely rare.
2. Occasionally, there occur pockets of normally distributed price events. These can (sometimes? always?) be described as the 'patterns' under discussion. ----------->>> Sometimes but you can find an area that trends for a while (lets call it an hour) consolidates for 20 min's (another normal distribution) and then resumes the trend. If that price action were taken into consideration it would look normal with a very high peak around the mean. So there can also be normal distributions within normal distributions. The problem with using statistics to analyze the market is what time frame do you use? This is only something that can be answered with experience. It's not something you can program a computer to do. This is the art of trading. Remember, I'm looking for a trading method that is supported by science but it requires an artist to interpret that science and make decisions based on that information.
3. When prices break out of these patterns, that represents an event in the tail of the normal distribution. These moves are faded in anticipation of a reversion to the mean. A trade is not always entered - the art of it comes in deciding which breakouts to fade.-------->>>> Pretty much right on here. But, again, a move out of a normal distribution could easily be a continuation back into either the F-distribution or the larger normal distribution I spoke of earlier. You have to look at the big picture as well as the small one. I have an example of this I'll post a little later.
Is that accurate?
If this is accurate, what will be really interesting is whether you always wait for the pocket of normally distributed price events. After all, sudden, long, unidirectional moves occur without having 'broken out' from one of the traditional patterns. Do you ever choose to fade these? I know a lot of guys are trading by fading these moves almost exclusively, a technique which requires a lot of patience and the willingness to be wrong small and re-enter.---------->>>> I'm not completely sure what you are referring to here but this doesn't sound like something I'm trying to do. I'm not usually interested in being wrong a number of times on small positions to eventually be right on 1 bigger position. My goal is to be right 100% of the time, but naturally I will never accomplish that. The point of making that statements is, I will not take a trade unless there is a very high probability I will win.
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Someone mentioned on this thread that my edge may be coming from avoiding losing trades by passing them up. That's partly true but my true edge comes from turning losing trades into winning trades by managing my account and risk wisely. I think the example I post later will turn the lights on.
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Oh, and I think you asked on anther post if I am tracking the data. The answer is yes. In grad school we had to write a C++ program of our choice so I decided to write a program that would calculate Z-scores, for example, on a given data set. I have a couple of programs that crunch numbers all day long. When I get a Z-score 2.575 (99% significance) I get very interested in the price movement. The trick here is knowing which time frame to use and how many bars to use. Statistical analysis of the stock market is flawed because it is non-stationary - i.e. always moving. You can typically find your starting point by looking at the last turn in the market but how do you find your ending point? This is usually a bit of trial and error. There is no X+Y=Z answer for this. It takes a lot of judgment. Again, this is something I'll explain with that example a little later.
------------------------------------------------------------------------------My latest summary of your approach (I realize now when you posted that link to Anek which said 'This is the trigger - a short on a break of support', you didn't mean that you were shorting, you meant that pattern guys are shorting that break, right?).---------->>>> Right, that's a classic short trigger out of whatever kind of technical analysis books you may have read. I read Technical Analysis of Stock Trends, by Edwards and Magee. When I started studying the stock market I went straight to the bible.
1. Prices through the day are randomly distributed (The F Distribution, although I am just inferring what that means, I have almost no sadistics beyond normal distro and understanding fat tails and mean reversion).---------->>>> Most often the price movement for the entire day resembles and F-Dist with normal dist's within that curve. However, I have seen days that are normal and days where the F-Dist has two fast tails, one skewed left and one skewed right. This kind of day is extremely rare.
2. Occasionally, there occur pockets of normally distributed price events. These can (sometimes? always?) be described as the 'patterns' under discussion. ----------->>> Sometimes but you can find an area that trends for a while (lets call it an hour) consolidates for 20 min's (another normal distribution) and then resumes the trend. If that price action were taken into consideration it would look normal with a very high peak around the mean. So there can also be normal distributions within normal distributions. The problem with using statistics to analyze the market is what time frame do you use? This is only something that can be answered with experience. It's not something you can program a computer to do. This is the art of trading. Remember, I'm looking for a trading method that is supported by science but it requires an artist to interpret that science and make decisions based on that information.
3. When prices break out of these patterns, that represents an event in the tail of the normal distribution. These moves are faded in anticipation of a reversion to the mean. A trade is not always entered - the art of it comes in deciding which breakouts to fade.-------->>>> Pretty much right on here. But, again, a move out of a normal distribution could easily be a continuation back into either the F-distribution or the larger normal distribution I spoke of earlier. You have to look at the big picture as well as the small one. I have an example of this I'll post a little later.
Is that accurate?
If this is accurate, what will be really interesting is whether you always wait for the pocket of normally distributed price events. After all, sudden, long, unidirectional moves occur without having 'broken out' from one of the traditional patterns. Do you ever choose to fade these? I know a lot of guys are trading by fading these moves almost exclusively, a technique which requires a lot of patience and the willingness to be wrong small and re-enter.---------->>>> I'm not completely sure what you are referring to here but this doesn't sound like something I'm trying to do. I'm not usually interested in being wrong a number of times on small positions to eventually be right on 1 bigger position. My goal is to be right 100% of the time, but naturally I will never accomplish that. The point of making that statements is, I will not take a trade unless there is a very high probability I will win.
---------------------------------------------------------------------------------
Someone mentioned on this thread that my edge may be coming from avoiding losing trades by passing them up. That's partly true but my true edge comes from turning losing trades into winning trades by managing my account and risk wisely. I think the example I post later will turn the lights on.
----------------------------------------------------------------------------------
Oh, and I think you asked on anther post if I am tracking the data. The answer is yes. In grad school we had to write a C++ program of our choice so I decided to write a program that would calculate Z-scores, for example, on a given data set. I have a couple of programs that crunch numbers all day long. When I get a Z-score 2.575 (99% significance) I get very interested in the price movement. The trick here is knowing which time frame to use and how many bars to use. Statistical analysis of the stock market is flawed because it is non-stationary - i.e. always moving. You can typically find your starting point by looking at the last turn in the market but how do you find your ending point? This is usually a bit of trial and error. There is no X+Y=Z answer for this. It takes a lot of judgment. Again, this is something I'll explain with that example a little later.