Enviable Performance Under All Market Conditions
Since 2007
  • Chart of SLV.gif
    BIG PROFITS ON SILVER: Put 20% of assets in silver at $17.73 before the run up to about $50. Took profits at the very top at $48-50 just before the big drop. Short sold silver at $48-50 and predicted a 33% drop in silver .In a matter of couple of weeks, silver fell about 40%.
  • Chart of AAPL WHITE.gif
    BIG PROFITS ON APPLE: The ZYX Change Method recognized early the potential of Apple ecosystem . Apple was bought at an average price of $131and partial profits have been taken at $360, $525, and $629. The system has stayed in the trade through ups and downs for big profits.
  • Chart of VVR WHITE.gif
    BIG PROFITS ON SENIOR BANK LOANS: The ZYX Change System recognized at the depth of 2008-2009 financial crisis that senior bank loans were unjustifiably beaten down to 30 cents on a dollar. A closed end fund VVR was bought at $1.86 and sold at $4.53 while earning double digit dividends.
  • Chart of ARMH WHITE.gif
    BIG PROFITS ON THE PROCESSOR DESIGNER FOR APPLE: The ZYX Change Method recognized early on that ARM Holdings, designer of the processors for Apple products, was about to become the biggest licensor of designs for mobile devices. ARMH was bought at $10.00 and profits were taken at $25.70.
  • Chart of JJC WHITE.gif
    BIG PROFITS ON COPPER: The ZYX Change Method recognized early on that the government stimulus in China was about to cause a construction boom which would increase demand for copper. An ETF JJC was bought at $39.82 . The system correctly called the top in copper and profits were taken at $60.02
  • Chart of CBS WHITE.gif
    BIG PROFITS ON CBS: The ZYX Change Method recognized early on that the prevailing wisdom of demise of network advertising was wrong. CBS was bought at $5.93. CBS developed hit shows and advertising market recovered. Profits were taken at $20.09.
  • Chart of CIEN  WHITE.gif
    BIG PROFITS IN OPTICAL NETWORKING: The ZYX Change Method recognized early on that demand for optical networking was about to increase. Ciena, a major vendor of optical network systems, was bought at $13.75. Profits were taken at $24.30 just before the top in optical network market.
  • Chart of DB WHITE.gif
    BIG PROFITS IN THE LARGEST GERMAN BANK: The ZYX Change Method correctly recognized extreme negative sentiment as a contrary indicator in Deutsche Bank. Deutsche Bank was bought at $30.03 for a very short term trade and profits were quickly taken at $36.20.
  • Chart of F WHITE.gif
    BIG PROFITS IN FORD: The ZYX Change Method correctly concluded that Ford would not go bankrupt when GM and Chrysler were in trouble. Ford was bought at $1.97. Profits were taken at $18.14 near the top in the stock as the system recognized extreme bullishness towards Ford as a contrary indicator.
  • Chart of HMA WHITE.gif
    BIG PROFITS FROM HEALTH CARE REFORM: The ZYX Change Method correctly recognized early on that hospitals would not be adversely effected by the health care reform as Wall Street thought. Our analysis was hospitals would benefit from the reform. HMA was bought at $1.26 and profits were taken at $6.01.
  • Chart of EUM. WHITEgif.gif
    BIG PROFITS FROM DROP IN EMERGING MARKETS: We monitor indicators from 23 countries. The ZYX Change Method recognized that then prevailing wisdom of emerging markets decoupling from the American market was wrong. Inverse ETF EUM was bought at $63.36 and sold at $118.52.
  • Chart of INP WHITE.gif
    BIG PROFITS FROM INDIA: The ZYX Change Method recognized early on that India would be a major beneficiary as the world emerged from the financial crises. ETF INP was bought at $25.92. The method correctly called the top in Indian market and sold INP at $76.46.
  • Chart of JJG WHITE.gif
    BIG PROFITS ON GRAINS: The ZYX Change Method recognized early on the impact of Russian fires on grain prices. JJG, an ETF representing grains, was bought at $41.00 . Profits were taken at $53.50 when grain prices had fully accounted for production shortfall in Russia and Ukraine.
  • Chart of NFLX WHITE.gif
    BIG PROFITS ON NETFLIX: At a time when Netflix was maligned for dying DVD business, the ZYX Change Method was early to recognize that Netflix would be the first big mover in streaming movies and this would cause massive short squeeze. Netflix was bought at $101.00 and profits taken at $187.49.
  • Chart of PPC WHITE.gif
    BIG PROFITS FROM CHICKEN: Pilgrim Pride, a major chicken producer, got on the wrong side of hedging feed costs and had to declare bankruptcy. The ZYX Change Method correctly recognized that there was more value in the stock than Wall Street perceived. The stock was bought at $3.00 and sold at $8.47.
  • Chart of ILMN WHITE.gif
    BIG PROFITS ON GENOMIC SEQUENCING: The ZYX Change Method recognized early on that Illumina was leap frogging the competition in genome sequencing. Illumina was purchased at $23.25 and sold at $39.98 .
  • Chart of SAP WHITE.gif
    BIG PROFITS FROM A EUROPEAN EXPORTER: The ZYX Change Method recognized early on that SAP, a big European software exporter was not as affected by the debt crises in Europe as generally perceived. SAP was bought for a short term trade at $48.56 and profits were quickly taken at $57.19.
  • Chart of SMH WHITE.gif
    BIG PROFITS ON SEMICONDUCTORS: The ZYX Change Method recognized early on bottom in semiconductor cycle. SMH was purchased at $24.33. SMH was sold about five months later at $34.09 when our method correctly concluded that majority of profits from the cyclical upturn were already in the bag.
  • Chart of UYG WHITE.gif
    BIG PROFITS ON FINANCIALS: The ZYX Change Method recognized early on during the financial crises that bank nationalization in the U.S. was off the table and financial stocks would rebound strongly. An ETF UYG was purchased at $21.18 and exited at $73.69.
  • Chart of TWM white.gif
    BIG PROFITS FROM FALL OF SMALL CAPS: The ZYX Change Method recognized early on in 2009 that small capitalization stocks were about to be slaughtered. An inverse ETF TWM was purchased at $253.27 . In about two months, profits were taken at $426.16 close to the eventual top.

 
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HOMEUNIQUE ZYX CHANGE METHODASSET ALLOCATION MODELSPERFORMANCEABOUT NIGAM ARORAMARKET BLOGCONTACT US

ZYX GLOBAL MULTI ASSET ALLOCATION MODEL

.
HIGHER RETURNS
LOWER RISKS
 AUTOMATICALLY ADAPT TO CHANGING MARKET CONDITIONS BULLET PROOF YOUR PORTFOLIO
This model has successfully produced exceptional returns while taking lower risks than the markets both in bull and bear markets.

This long-term model allocates assets on a  global basis between equities, fixed income securities, commodities, real estate, and currencies. The model further drills down to sub-asset classes, sectors, and sub-sectors.

Allocations are based on identifying the  changes early using  the ZYX  Change Method.
ZYX  MULTI ASSET GLOBAL ALLOCATION

 



A change means a new risk reward ratio.

The model starts an allocation to an asset class or a sub asset class when the risk  is small, and the reward is high and increasing.  Allocation is increased as there is more confirmation of the trend and the thesis.  The model reduces the allocation as the risk increases even if the rewards are increasing. The model removes the allocation to the asset class as the risk goes higher even if the rewards are going higher.

              

Risk Control


 The model gives precedence to risk control over potential rewards.  The model is designed to maximize risk adjusted returns over a long period of time.  The model is not designed to maximize absolute returns over short periods of time.

  1. Searching the globe for non correlated assets, i.e., the assets that do not go up and down together.
  2.  Making money not only when markets go up but also by making money  when the markets go down.
  3. Diversifying strategies based on different time frames, i.e., by diversifying between very long-term, long-term, medium-term and short-term horizons.
  4. Buying assets when they are cheap.
  5. Selling assets when they are expensive.
  6. Getting ahead of the inflection macro points,  i.e., using leading indicators to make decisions as opposed to using lagging indicators.
  7.  Not being afraid of being in cash.
  8. Being content to miss high risk rallies in the markets.
  9.  Focusing on the risk adjusted returns over a long period of time.
  10.  Being driven by the data and not getting stuck in  certain opinions.
COMPREHENSIVE 360°GLOBAL ANALYSIS
 
Our proprietary algorithms generate actionable signals based on the unique ZYX Change Method after analyzing
  • Economic data from 23 countries
  • Macro trends
  • All major currencies
  • All major commodities
  • Geo political considerations
  • Technology/Science developments
  • All major industries
  • 3000  U.S. stocks
  • 1000 International stocks
  • Trends in bonds all over the globe

 

CHECK OUT PERFORMANCE OF THE MODEL SINCE 2007


FREE TRIAL TO THE ZYX GLOBAL MULTI ASSET ALLOCATION ALERT

 



The undeniable truth about the markets is that they constantly change.

The problem with the conventional models is that they may work under certain conditions, but when the conditions change, they stop working.

ZYX Global Multi Asset Allocation Model has overcome the conventional limitation  as the model is designed to automatically change as the market conditions change.

We searched the globe and started with three sets of inputs -- a large number of diverse  conventional timing techniques already available to sophisticated large institutions and fundamental as well as technical data conventionally used by successful investors.

The focus of our research was to first narrow the large universe of such techniques and factors that influence the market to a handful of factors that have the most predictive abilities; and then build an adaptive timing model using the selected factors.

The actual real life results show that we succeeded in developing a model that automatically changes with the market conditions  to produce high returns while minimizing risks.

                        Adaptive Model

This is an adaptive model based on eight distinct inter-market, macro-economic, technical, and fund flow inputs.

The model  makes  two adaptations in near real time  to the eight inputs as  new data becomes available.

First, the weight of an input is low if the data has been choppy or directionless. However, if the data offers strong direction, regardless of the magnitude, the weight of the input increases. Second, the weight of an input changes based on its correlation with the price movement of the underlying market.

                              Eight Inputs 

 At present the following are the key ingredients of our timing model.

1.  Aggressiveness of fund flows

2.  Leading  global economic indicators

3.  Commodity price movements

4.  Relationship between currencies

5. Risk appetite as demonstrated by the relationship between the price movements of the assets deemed safe vs. assets considered speculative.

6. Price action of the markets at key technical support/resistance levels

7.  Price action of the markets as various classical technical patterns become apparent

8.   Changes in internals of the markets as the prices push through or fail at key support/resistance levels

                        Allocation to Cash 

The model's approach to cash allocation is unique. In addition to taking into account risks, the model also takes into account the probability of better opportunities coming along in the near future. After all investors who are fully invested can not easily take advantage of the new better opportunities.

 The  model  strives for no cash when the probability of significant new and better opportunities becoming available in the near future is less than 60%, and it can find assets anywhere in the globe with low risk.

If the probability of significant new and better opportunities goes over 60% or low risk opportunities are not available, the model starts cash allocation. The amount of the cash increases parabolically as the probability of new better opportunities goes higher or the risks increase.

CHECK OUT PERFORMANCE OF THE MODEL SINCE 2007
 


FREE TRIAL TO THE ZYX GLOBAL MULTI ASSET ALLOCATION ALERT

 

 

 

 

  • Now you can easily bullet proof your portfolio using only ETFs with the unique and innovative ZYX Global Asset Allocation Model.

    The 2008 financial crises showed that conventional wisdom of protecting a portfolio through simple diversification  does not always work --  stocks went down, bonds went down, real estate went down, commodities went down, and even gold went down.

    Even in the biggest financial crises in 2008 since the great depression, ZYX Global Asset allocation Model produced a return of  42.90% compared to S&P 500 return for the period of -36.10% while taking 50% less risk.

    In other words, the model produced great returns when most conventional strategies were losing money by the boatload!

     
    We offer two variants of the Global Allocation Model: a lower risk model that attempts to take 50% of the risk of the markets and a low risk model that attempts to take 85% of the risk of the markets.

    The two variants help investors to  easily customize the model themselves to suit their own risk tolerance  and return requirements by picking and choosing from the lower risk model and the low risk model.


    In our lower risk model, we are not shy to hold 100% cash when risks become high or the probability of better opportunities coming along in the near future is high. After all cash is king when a great opportunity arises. Those already fully invested can not take advantage of the new better opportunities.

     
    Such conservatism may be contrary to conventional wisdom, but there is no denying the excellent performance of this model. As shown in the chart the model has beaten the indexes by a wide margin, while on the average taking 50% of the composite risk of fully invested positions.  The model puts risks before rewards and is content missing high risk rallies.




                
                   Lower Risk Model



    Lower risk does not mean not investing in emerging markets, technology, real estate, or commodities.  It simply means entry at the right price and exiting when the risks become high.  The following asset classes in which the lower risk model has invested in  the  past illustrate the point:


·         Asia Real Estate          

   ·         Brazil Equities                     

·         Cash                                  

·         China Equities                     

·         Chinese Yuan                       

·         Copper                                 

·         Crude Oil                            

·         Emerging Markets Equities      

·         Euro Dollar                         

·         Europe Export Equities      

·         India Equities                      

·         Indonesia Equities 

  Gold   

·         Silver                                        

·         Spain Equities                         

·         Taiwan Equities                      

·         US 20 Year Bonds

·         US Financial Sector Equities

·         US High Yield Bonds        

·         US HMO Equities                 

·         US Mega Cap Equities     

·         US Regional Bank Equities           

·         US Retail Equities             

·         US Senior Bank Loans      

·         US Small Cap Equities      

  • ·US Utilities Equities    

 

CHECK OUT PERFORMANCE OF THE MODEL SINCE 2007


FREE TRIAL TO THE NEWSLETTER ZYX GLOBAL MULTI ASSET ALLOCATION ALERT

 


Will gold rise to $3000, $4000, $5000, or $10,000?

Will gold  fall to $1400, $1200 or under $1000?

Irrespective of your opinion, most investors agree that QE3 has important implications. There are several myths about QE3 that the crowd  has accepted without digging below the surface and understanding the true nature of QE3.

Every astute investor ought to take time to understand  the true nature of QE3.  Due to the importance of this topic, we are making available  FREE OF CHARGE a  48 minute  online seminar titled Gold & Silver Post QE3.
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