THEORETICAL PRINCIPLES OF EXPERT ADVISOR TRAFALGAR

    While analyzing the time series it is possible to determine the parts where the process is clause to quasi-stationary one and it means that it is possible to apply the analysis methods which are also applicable to quasi-stationary processes and to make a prognosis of the time series behavior in the future. Lets determine the sample of time series which can be considered as quasi-stationary and make a spectral analysis on it. We can get the spikes on the spectrogram – the significant periods on bars. We consider these periods to be the results of the certain investors groups activity. Let determine the cycles on the time series which is prognozable.

 

In my opinion spectroanalysis usage for currency quotations without preliminary extracts preparation is incorrect. Taking into account that the research of some quotations shows that we deal with non-stationary time series , and spectroanalysis methods are suitable only for stationary time series we shall make a  spectoanalysis of H4  quotations gbpjpy, full extracts and half of extracts as we see from pictures spectrum of quotations “vary”.

 

GPBJPY H4 (2004.06.16 -2008.05.01)  - Full extracts

 

 
GPBJPY H4 (2006.06.1 -2008.05.01)  - Half extracts

 

 

 

  In mathematic statistics for transition from non-stationary process to stationary different transformations are used. Their essence consists in the following. Let’s assume that there is a row R0 = {X01, X02, …, X0n} then differential transformation of 1-st order from R0 will be number R1 = {X11, X12, …, X1n-1}, where X1i = X0i+1-X0i (1). As a matter of fact, the sequence received by the following way, is a number of increments of initial process.

closeN = closeN – close(N+1)

 

GPBJPY H4 (2004.06.16 -2008.05.01)  - Full artificial extracts

 

 

 Let's make spectroanalysis for the received sequence. Also as well as in an example for regular extracts we shall take half of artificial extracts and all artificial extracts.

 
Digital Filters for dominant  frequency (STLM)


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Initial deposit: 10000.00 (Lot = 1)
Total net profit: 89412.16 (
2004.07.09 - 2008.04.24) 1943USD / per month
Maximal drawdown: 16.31%

currency: GBPGPY
Timeframe: H4
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Total net profit: 59778.73 (2007.01.31 - 2008.05.02 ) 3985 USD / per month
Maximal drawdown: 18.58%


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* HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS, SOME OF WHICH ARE DESCRIBED BELOW. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN. IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN HYPOTHETICAL PERFORMANCE RESULTS AND THE ACTUAL RESULTS SUBSEQUENTLY ACHIEVED BY ANY PARTICULAR TRADING PROGRAM. ONE OF THE LIMITATIONS OF HYPOTHETICAL PERFORMANCE RESULTS IN THAT THEY ARE GENERALLY PREPARED WITH THE BENEFIT OF HINDSIGHT. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK IN ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR TO ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM WHICH CANNOT BE FULLY COUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS.

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