VictorH

Hello rayl54292 Thanks for your reply. I was aware of Pivotprofiler’s calculations for St Dev levels. I think the present TS Calculation (as you have shown) is flawed when you apply the basic principles of statistics to Volume. If you apply the TS coding and plot the following lines you will get positive and negative values. Plot3(avg-2*sDev,"-2"); Plot4(avg-3*sDev,"-3"); Now, do you still have faith in the following 2 lines ??? Plot1(avg+3*sDev,"+3"); Plot2(avg+2*sDev,"+2"); Calculations based on Lognormal do not create negative values. In the overall scheme of things, the actual calculation is probably trivial and of minor consequence to trading outcomes. “High Volume†is still “High Volumeâ€Â. Keep up the excellent posts on VSA. Regards, V

Hello rayl54292, This is my first post on this forum. I was interested in the chart in your last post [3] and your comment about “input and brutal honesty†This is my analysis of VSA in terms of looking at Volume and Standard Deviation levels. The use of the Normal Standard Distribution curve can result in Negative Value Levels ( ie. for the Lower Standard Deviation levels ). Volume can only be a Positive Value, hence I use a LOG Normal Distribution of Volume to assess the Standard Deviation levels. This gives levels which are always Positive. The following Amibroker Code shows what I am referring to. I believe TG uses this approach also. Is this what you do also ? All feedback on this line of thinking is most welcome. Regards, V LBP = Param("Look Back", 30, 0, 100,1 ); Mean = MA(ln(V),LBP); StD = StDev(ln(V),LBP); xp3 = exp(mean + 3*std); xp2 = exp(mean + 2*std); xp1 = exp(mean + 1*std); xm = exp(mean); xn1 = exp(mean - 1*std); xn2 = exp(mean - 2*std); Plot(xp3,"", 1,1|4096); Plot(xp2,"", 1,1|4096); Plot(xp1,"", 1,1|4096); Plot(xm, "", 29,1|4096); Plot(xn1,"", 1,1|4096); Plot(xn2,"", 1,1|4096); Clr = IIf(V>Ref(V,-1),29,32); Plot(V,"",Clr,6);