SSA Stochastic Limited Edition
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パブリッシュ済み:
18 1月 2017
現在のバージョン:
2.15
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hello Mr.Roman, to what time-frame do you recommend ? and what is the %k & %d values do you recommend while using M5 ? thank you.
Hello Mr. Mohamed. I suppose, M15 is more optimal time-frame than M5. M5 is very noisy interval. 1-3 nearest points are more reliable data.
In general the next param sets on start:
Algorithm: Recurrent forecast,
N: Data fragment = 256,
Time-dependent lag = N/3,
Trend high-freq. limit= 0.25,
Forecast high-freq. limit= 0.25,
Forecast transform = S[i]/Max(:),
Forecast smoothing = Smoothing MA(3).
Algorithm: Recurrent forecast,
N: Data fragment = 512,
Time-dependent lag = N/4,
FastTrend high-freq. limit = 0.4
SlowTrend high-freq. limit= 0.6
Signal SMA period = 4
Data preparation = {ln(S[i]-Smin+1)}/Max(:)
Forecast preparation = S[i] /Max(:)
Forecast smoothing = Smoothing MA(3).
Algorithm: Recurrent forecast,
N: Data fragment = 256,
Time-dependent lag = N/4,
%K high-freq. limit = 0.3,
%D high-freq. limit = 0.6,
Data preparation = S[i] /Max(:),
Forecast smoothing = Smoothing MA(3).