A) Sector, B) Stock, C) Jiseki

Which sectors are best ranked?
Which sectors are worst ranked?
Will the best ranked underperform and vice versa?
Can this help me make a strategy, to shortlist the best short ideas, if the markets are falling and vice versa?
So we ran a Jiseki query
1) Filter the best performing sectors above 80%
2) Filter them for falling Jiseki cycle negative crossover signals
3) Find the top ranked stocks in that sector
4) Filter the list for running short signals
Can you guess the sector and the stock which fulfills these conditions?
We have answered all these questions in the latest ALPHA. The report carries technical cases on all the banking stocks, ranking of pairs, the top running pair, Jiseki cycles on the banking stocks and a sector preview.
To read more about our JISEKI RANKINGS, Signals and queries mail us today.
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. The idea is that performance is cyclical. A top performer will underperform in future and vice versa. A top relative performer is also the worst value pick and the top relative underperformer is the best value pick. Jiseki is another name for Performance cycles, time triads and time fractals. The signals are illustrated as a running portfolio and as Jiseki Indices. These signals can be used by fund managers for relative allocations, traders for leverage bets and high net worth clients for selective trades.
Jiseki Interpretation. Signals are interpreted as crossovers between various Jiseki Cycles. All three Jiseki cycles (Jiseki 1,2 and 3) depict different time frames. Example: An asset is ranked above 80 percentile and all the three Jiseki cycles are pointing lower, this suggests a running SHORT SIGNAL. Our Jiseki Indices use different kind of exits based on price and Jiseki Cycles. We have color coded the (Jiseki 1>Jiseki 2) SHORT zones with brown sandy (burlywood) and grey (Jiseki 1>Jiseki2) for LONG SIGNALS.

Avinash Barnwal is Master of Science in Statistics and Informatics from IIT Kharagpur. He has worked on human response time at Department of Psychology, University of Amsterdam.  Avinash is a Quantitative Analyst at Orpheus developing money management solutions and building statistical models to address temporal challenges.