Looking at ‘Time proportion’ in market or price data is a very old exercise, Benner did it in 1884, Elliott did it in 1934, Frost, Hamilton, Russell, Prechter and a host of other technicians have done it over years. I can count more than 10 time cyclists who also looked at market and economic data and time proportion. Richard Mogey and Bill Meridian have been doing this exercise for decades.
All of the above practitioners know that there are many cycles acting at a certain time so many of them look at time proportion rather than equality. There is also a school which looks at equal cycles. I belong to the time proportionally school of thought which considers time equality as a subset of time proportionality. Today we have carried a case of studying the time difference in days between various intermediate degrees Nifty Futures lows. Now a non technician will call it mystical, but that’s part of the fun of doing these exercises. The time duration lows are shockingly proportionate. But this is what we have been writing about for more than 3 years now that time is proportional and statistically a gamma distribution, whatever way you look at a time series, whether as a ratio or a price or as a stochastic process.
The illustrated Nifty Futures case suggests that starting 15 Mar 2009 all the lows made on a, b, c, d, e, f, g (table) were proportionally connected in near equality with an average of 110 days. And above this there was also a near equality of time duration from low c to f and f to g. Shocking as it may seem starting point i (30 May 2011) there were also two Fibonacci proportions of 1.6 and 0.6 to be found. Call it magic or mathematics, you will find time proportionality everywhere. And this proportionality suggests that markets are heading in or out of a short and medium term bottom. So if any negativity is pending it should happen now, not after 10-15 days.