Is there a way to pull HLC array into thinkscript?

[Qbtrades]

I am wanting to be able to find things like the median of the high, low, close array (all HLC prices in the same array) for the past xx amount of days. Or is there a way around it? Finding the median for each individual one or HLC3 is not the same. Thanks!

 

[mashume]

ThinkScript does not, to the best of my knowledge, have any way to sort arrays of values, and so finding the median from any list is beyond the abilities of the code. If you don't mind doing your analysis outside of ToS, there are some threads about exporting OHLCV data from ThinkOrSwim. From there, you can do analysis in Excel or OpenOffice etc...

-mashume

 

[halcyonguy]

I am wanting to be able to find things like the median of the high, low, close array (all HLC prices in the same array) for the past xx amount of days. Or is there a way around it? Finding the median for each individual one or HLC3 is not the same. Thanks!

i'm not quite following what you are wanting to do, how to look at/sort 3 variables,
but i did make a sorting study that might help.
https://usethinkscript.com/threads/rank-volume-1-10.9504/#post-108403

it sorts data in 1 variable.
can pick how many bars to sort, up to all the bars on a chart.
looks at the last x bars on the chart.

default sort data is close, from smallest to largest.
def data = close;

green bubbles show the ranking number,
rank3

yellow bubbles show the sorted data, smallest to big
cntup_in_rng - rank #
data_rank - data

 

[mashume]

So. After looking again at ThinkScript help, I discovered that at some point they added a MEDIAN() function. So here's some code...

declare upper;

input length = 15;

plot high_med = Median(high, length);
plot close_med = Median(close, length);
plot low_med = Median(low, length);

and a somewhat interesting lower to go with it:

declare lower;

input length = 15;

def high_med = Median(high, length);
def close_med = Median(close, length);
def low_med = Median(low, length);

def midline = (high_med + low_med) / 2;
plot moving = close_med - midline;
plot zero = 0;

plot average = inertia(moving, floor(length / 2));

This looks at the position of the close in the channel formed by the high and low median prices. When it is above zero, the median close is closer to the median high. The moving average is the inertia (linear regression fit) over length/2.

guess it pays to read the docs (and re-read them, and perhaps the release notes)
-mashume

 

[autolox]

Replicate this for LOW and CLOSE and adapt those variables accordingly?

input LengthOfYourChoice;

def hiMedian = median(high,[LengthOfYourChoice]);
AddLabel(yes,"HI Median for "+LengthOfYourChoice+ " Periods is: "+hiMedian,color.yellow);