Quoting OAPDave
{quote} Parisboy, you are up there with the best of the best, so can I ask the question about the Murrey so called Start of the new 256 day Cycle ( October ?) is it real and important or just a marketing ploy
Dave
hereunder some thoughts of Tim Kruzel on Time and on the Starting Date
Time
The term "square in time" has been used liberally throughout the prior discussions without any specific statements regarding time. All that has been addressed so far is the vertical price dimension of the square in time. This is justified since the process of identifying the MML's and MMI's requires a little more effort than the divisions of time.
The fact that less discussion has been devoted to the time dimension should not be interpreted to mean that the time dimension is any less important than the price dimension.
Time and price are equally important.
Time is divided up in a very reasonable (and practical manner). The year is broken into quarters of 64 trading days each. Note that 64 is a power of 2 (i.e. (2 x 2 x 2) x (2 x 2 x 2) = 8 x 8 = 64). An interval of 64 can easily be subdivided into half intervals. Note that 8 (the number of vertical intervals in the square in time) is also a power of 2 (i.e. (2 x 2 x 2) = 8).
Thus, the square in time can easily be scaled in both the price (vertical) and the time (horizontal) dimensions simply by multiplying or dividing by 2 (very clever).
Consider also that a year consists of four quarters. Four is also a power of 2. So, a square in time based upon a year long scale can also easily be subdivided.
The ability to subdivide the square in time gives the square in time the ability to evolve as an entity trades through time. The square in time acts as a reference frame (coordinate system) that can adjust itself as needed. As an entity reaches new high or low prices, the reference frame can be expanded by doubling the square in both the price and time dimensions. Alternatively, if one wishes to look at the price of an entity during some short time frame one can simply halve the square in both the price and time dimensions (resulting in a quarter square). This halving and doubling may be carried out to whatever degree is practical (i.e. Practical within the limits of how much price and time data may be subdivided. A daily chart can't be subdivided into intraday prices or time). Refer back to the description of the rectangular fractal at the beginning of this paper.
The argument for breaking the year into quarters intuitively makes sense. The business world (including mutual fund managers) is measured on a quarterly basis. Each of the four quarters roughly correspond to the four seasons of the year which drive weather and agriculture (as well as commodity contracts). Clearly humans are geared to a quarterly cycle.
Murrey resets the time = 0 point on an annual basis. This is done the first week of October and corresponds to the day of the U.S. Treasury's monthly and quarterly bond auctions (This year 10/8/97). Once the time = 0 point is set one may simply count off daily increments of 4, 8, 16, 32, or 64 days relative to the time = 0 point to set the desired square in time (or 256 days if one wants an annual chart).
At this point one should realize that specifying a time interval is critical to setting up the square in time. In the above examples that were used to illustrate the selection of MML's and MMI's the time frame was implied. All that was specified in the examples was the price range that the entity traded at. Naturally, one has to ask the question, "The price range it traded at during what time frame?". One will probably want to set up the square in time for annual and quarterly time frames. The quarterly square in time will probably be subdivided into a 16 day time frame for intermediate term trading.
One would need intraday data to set up an intraday square in time. The time coordinate of an intraday chart is simply divided into 4 or 8 uniform intervals. The intraday MML's and MMI's are then set up using the intraday trading range. If one is looking at a weekly chart then a quarter should consist of 13 weeks.
Another key use of the time dimension is estimating when a trend in price will reverse itself. The horizontal MML's of a square in time represent points of support and resistance in the price dimension. The vertical lines that divide the square in the time dimension represent likely trend reversal points. My own personal studies, done on the DJIA, showed that on average the DJIA has a turning point every 2.5 days. Since we know that the market does not move in a straight line we would expect to see frequent trend reversals.
Murrey uses the vertical time lines (1/8 th lines) in the square to signal trend reversals.
{quote} Parisboy, you are up there with the best of the best, so can I ask the question about the Murrey so called Start of the new 256 day Cycle ( October ?) is it real and important or just a marketing ploy
Dave
hereunder some thoughts of Tim Kruzel on Time and on the Starting Date
Time
The term "square in time" has been used liberally throughout the prior discussions without any specific statements regarding time. All that has been addressed so far is the vertical price dimension of the square in time. This is justified since the process of identifying the MML's and MMI's requires a little more effort than the divisions of time.
The fact that less discussion has been devoted to the time dimension should not be interpreted to mean that the time dimension is any less important than the price dimension.
Time and price are equally important.
Time is divided up in a very reasonable (and practical manner). The year is broken into quarters of 64 trading days each. Note that 64 is a power of 2 (i.e. (2 x 2 x 2) x (2 x 2 x 2) = 8 x 8 = 64). An interval of 64 can easily be subdivided into half intervals. Note that 8 (the number of vertical intervals in the square in time) is also a power of 2 (i.e. (2 x 2 x 2) = 8).
Thus, the square in time can easily be scaled in both the price (vertical) and the time (horizontal) dimensions simply by multiplying or dividing by 2 (very clever).
Consider also that a year consists of four quarters. Four is also a power of 2. So, a square in time based upon a year long scale can also easily be subdivided.
The ability to subdivide the square in time gives the square in time the ability to evolve as an entity trades through time. The square in time acts as a reference frame (coordinate system) that can adjust itself as needed. As an entity reaches new high or low prices, the reference frame can be expanded by doubling the square in both the price and time dimensions. Alternatively, if one wishes to look at the price of an entity during some short time frame one can simply halve the square in both the price and time dimensions (resulting in a quarter square). This halving and doubling may be carried out to whatever degree is practical (i.e. Practical within the limits of how much price and time data may be subdivided. A daily chart can't be subdivided into intraday prices or time). Refer back to the description of the rectangular fractal at the beginning of this paper.
The argument for breaking the year into quarters intuitively makes sense. The business world (including mutual fund managers) is measured on a quarterly basis. Each of the four quarters roughly correspond to the four seasons of the year which drive weather and agriculture (as well as commodity contracts). Clearly humans are geared to a quarterly cycle.
Murrey resets the time = 0 point on an annual basis. This is done the first week of October and corresponds to the day of the U.S. Treasury's monthly and quarterly bond auctions (This year 10/8/97). Once the time = 0 point is set one may simply count off daily increments of 4, 8, 16, 32, or 64 days relative to the time = 0 point to set the desired square in time (or 256 days if one wants an annual chart).
At this point one should realize that specifying a time interval is critical to setting up the square in time. In the above examples that were used to illustrate the selection of MML's and MMI's the time frame was implied. All that was specified in the examples was the price range that the entity traded at. Naturally, one has to ask the question, "The price range it traded at during what time frame?". One will probably want to set up the square in time for annual and quarterly time frames. The quarterly square in time will probably be subdivided into a 16 day time frame for intermediate term trading.
One would need intraday data to set up an intraday square in time. The time coordinate of an intraday chart is simply divided into 4 or 8 uniform intervals. The intraday MML's and MMI's are then set up using the intraday trading range. If one is looking at a weekly chart then a quarter should consist of 13 weeks.
Another key use of the time dimension is estimating when a trend in price will reverse itself. The horizontal MML's of a square in time represent points of support and resistance in the price dimension. The vertical lines that divide the square in the time dimension represent likely trend reversal points. My own personal studies, done on the DJIA, showed that on average the DJIA has a turning point every 2.5 days. Since we know that the market does not move in a straight line we would expect to see frequent trend reversals.
Murrey uses the vertical time lines (1/8 th lines) in the square to signal trend reversals.