Ресурсы

Typ : Signal, Name : Meander system v. 1 Vars: SumVS(0), AvgVS(0), DiffVS(0), StdVS(0), SetArr(0), SumArr(0)

  Type : Signal, Name : Macd RS Ratio Inputs: R(12), S(26), Q(9), Price(close of data1/close of data2);

Type : Function, Name : McdMo Inputs: R(Numeric), S(Numeric), Q(NUmeric), Dsp(Numeric), Smth(Numeric);

Type : Indicator, Name : Moving Average Spread Indicator {MA Spread Indicator Plots the difference between

Type : Indicator, Name : Moving Average of Volume Input: len(10),len1(50); Plot1(volume,»

Type : Indicator, Name : Moving Average Adjuster INPUT: NUM(10), avglen(5), thold(10); Value1 = H —

Type: Indicator, Name: Mov Avg X 2_20 Inputs: Price(Close), AvgLen(20); Vars: AvgVal(0); AvgVal = XAverage(Price, AvgLen);

Type: Function, Name: ModifiedMA Inputs: Price(Numeric), Length(Numeric); Variables: Factor(0), Slope(0)

Type : Indicator, Name : MFI Convergence Divergence inputs: FastLength(12), SlowLength(26), SignalLength(9)

Type : Indicator, Name : Measure Cycle Period Inputs: Price((H+L)/2); Vars: Imult (.635), Qmult (.

Type : Indicator, Name : MATCH INPUT: LENGTH(2), PERCENT(5); vars: dc(o), dc1(o), dh(0), dh1(0), dl(0)

Type : Indicator, Name : Market Mood Indicator inputs: Flen(100); vars: ax(0),Fhi(0),Flo(0),Midd(0),stem(0),RL(0),LL(0),BLH(0),BRH(0),TLH(0)

Type : Indicator, Name : Macd RS Ratio Inputs: R(12), S(26), Q(9), Price(close of data1/close of data2);

  Type: Indicator, Name: MACD RS Inputs: Length(10), FastMA(12), SlowMA(25), MacdMA(9);

Type : Indicator, Name : MACD of MFI { MACD of MFI coded by Kahuna 10/24/03 } Inputs: MFI_Length( 14

Type : Indicator, Name : MACD\Rise\Fall {indicator MACD\Rise\Fall same results as TS MACD with variation—

Type : Function, Name : McdMo Inputs: R(Numeric), S(Numeric), Q(NUmeric), Dsp(Numeric), Smth(Numeric);

Type : Indicator, Name : MACD (DEMA) Inputs: FastMA(8.3896), SlowMA(17.5185), MacdMA(9.0503);

Type : Signal, Name : Long Trends inputs:NoDays(21), N(22),MULT1(2), MULT2(2); vars:valuea(0),valueb(0),valuec(0)

Type: Indicator, Name : LMS Predictor Inputs: Price((H+L)/2), Length(10); Vars: SigPower(0), Mu(0), XBar(0)