Alpha.India – Tisco vs. Sterlite; Bhel vs. ACC
We illustrated here two of our running pairs along with the respective performance cycles. The Short Tisco – Long Sterlite pair started on 23 Mar and it seems to be pushing back to the positive zone now as cycles continue to suggest further underperformance of Tisco against Sterlite. Short Bhel – Long Acc is a 171 days old running pair which continues to deliver gains over 20%. Performance cycles are still pointing lower in favor of Acc, but the pair should be closed if gains drop below 20%. The Long HDBK – Short ICBK pair hit a stop loss and was closed mid week.
Hero Honda dethroned Grasim and is now the top potential underperformer stock for the next few weeks, followed by Sun and HDBK, meanwhile SBI remains the top potential outperformer. Although Grasim was kicked out of Nifty, we kept it just to show it underperforming. We will kick it out after it drops in ranking more. The technology sector is most likely to outperform more in the next few weeks and the top potential underperformer sectors are Small Cap, Capital Goods and Consumer Durables.
Strategy update
Numeric Ranking Sectors
Numeric Ranking Stocks
Performance cycles I
Performance cycles II
Alpha is a pair trading, long only – short only strategy and Numeric Ranking product based on TIME fractals. Time arbitrage, Time Triads, Time fractals are terms coined by Orpheus Research. The signals are carried over three different time frames viz. sub minor (2-3 days), minor (10-30 days) and intermediate (above 30 days). This is a daily signal product. The signals will be illustrated through tracker and running portfolios. Alpha can be used by fund managers for relative allocations, traders for leverage bets and high net worth clients for selective trades. This is a part of the time triads analytics developed by Orpheus Research.
Performance cycles is a term coined by Orpheus Capitals. This is another name for time triads, time arbitrage, time fractals but expressed in terms of relative performance. It’s a bounded oscillator that moves in a range say from 1 to 30. 1 is top relative performance and 30 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.
Time arbitrage portfolio legs should be risk weighted before any implementation.
Coverage India: Indices, top 50 Nifty stocks, requested portfolio stocks
Stop loss and exits are activated at 4%
Performance cycles is a term coined by Orpheus Capitals. This is another name for time triads, time arbitrage, time fractals but expressed in terms of relative performance. It’s a bounded oscillator that moves in a range say from 1 to 30. 1 is top relative performance and 30 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.
*This is a strategy product. Long Short strategies are not riskless strategies. Please mail us for a detailed working or consult a local financial risk manager to execute these pairs. For more details please subscribe to the ORPHEUS TIME ANALYTICS research products.
Time is a social construct and we see time through the life and nature around us. Understanding time can not only give a unifying theory to research of a few thousand years, but also help us understand the world we live in. Time evolves, oscillates and continues. Time comes before everything, but we don’t see it. We just feel it. We believe what we see and this is why understanding what we don’t see is a challenge. Understanding time could bring more than a conventional thought down, it’s a revolution, which could rock the very foundation of economic thought or the geometric structures Euclid laid down in 300 BC. We are at the start of the journey, but if time is indeed the real mathematics, we could see high accuracy in time forecasts.
Econohistory is the study of performance cycles between assets. Cycles are the generic name for time fractals. Performance cycles can be studied for any time frame, for as small as a tick data to multiyear time frames. This objective approach to performance cyclicality can explain why intermarket analysis is an area of study? Why bonds and commodities tend to be inversely related? What is the connection of Oil with world markets? Why the world watches DOW sometimes and sometimes a 500 point effect on DOW seems to have no impact? Why correlation between assets moves from near perfect at times to weak correlation at other times? Why the same news has different impact on a stock or market? Why equities and bond trend together and why the relationship decouples sometime? When will inflation become deflation, disinflation, stagflation or hyperinflation? When and why does gold outperform and underperform silver? Econohistory can objectively answer these questions, using performance cycles, time fractals and past data. Economic history is mathematical.
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