Price Distribution indicator

It is a simple price distribution. Fiddling with the parameters can create quite different results.

cell_width
how many bars to use for the price distribution per column

cell_rows
how many rows to split the price distribution into

cell_cols
how many columns to generate... for some heavy computations you can reduce this number if performance suffers as you most likely need the recent price distribution

cell_step
the higher the number the more blocks are skipped for each step it is still calculating cell_width number of bars. so if cell_step and cell_width are the same you will see a clear picture. if cell_width is significantly higher you will see data "blurred" in.

cut_off
all cells are normalized with a value from 0 to 1 if you draw all of them it will be very resource intensive. so everything smaller than cut_off is just not drawn. (I put 0.8 sometimes to identify strong support/resistance areas)

count_inside_bars
count_support
count_resistance
and here is some magic... instead of counting the whole bar I have split it into
inside bar = ( Open - Close )
support = ( Low - Min(Open, Close )
resistance = ( Max(Open, Close) - High )

That way you can focus your study only on support or only on resistance areas.

Happy Neural Networking!!!