Visuals

In this new version of India 30 ORMI © we have rebalanced the portfolio. Whenever a running component closes and generates a cash proceeds, this respective cash is added to the available cash reserves in the portfolio. This total cash is reallocated as and when new signal(s) appear. Though on one side this allocation assumes […]

Benner’s Prophecies – Future up and down in prices was written in 1875. Samuel Benner was a prosperous farmer wiped out financially by the 1873 panic. He turned to wheat farming in Ohio and took up the statistical study of price movements as a hobby to find, if possible, the answers to the recurring ups […]

  Markets are natural beings, this is why patterns and market structure repeat. The ongoing structure on Nifty from 2009 has a stark similarity to the market structure from 1996 to 2003. Now this is conventional pattern watching much different from machine learning, but if the similarity is to be believed we are in for […]

On 14 June 2012 we introduced the Jiseki Cycles for Sensex 30, on 20 June we published risk metrics on the Indian Banking sector and on 21 Jun we carried an Indian Sector Special. Today we introduce a new web service called Sensex Pair 30. This service looks at the dynamics of all Sensex components […]

We are happy to introduce Jiseki Cycles. This much awaited service will provide weekly analysis on Jiseki Cycles for selected sub-groups. Today we are illustrating the Jiseki Cycles on the Sensex 30 components Jiseki cycles. The universe contains 1000 international assets including the BSE 500 components.  Choosing the Universe is an important exercise for Jiseki. Because a […]

  Our Jiseki Time cycles are seasonal patterns of strength or weakness in assets. They are derived from percentile rankings from 1 to 100. The higher the percentile more the chance for an asset to weaken and worst the ranking, better the chance for the respective asset to outperform. 100 is top relative performance and 1 is worst performance. […]

  Our Jiseki Time cycles are seasonal patterns of strength or weakness in assets. They are derived from percentile rankings from 1 to 100. The higher the percentile more the chance for an asset to weaken and worst the ranking, better the chance for the respective asset to outperform. 100 is top relative performance and 1 is worst performance. […]

Cycles can sometime evoke a shocking response. The reason is that they assume a historical seasonality to continue. This is hard for a section of the market which believes that only new information drives the future trends. New academic work has given credit to economic historians and seasonality has been given more importance than earlier. […]