J-Streak

(JS) Double Stochastic

The idea for this indicator came from looking at the Stochastic RSI . The Stochastic RSI takes the RSI reading then applies the Stochastic formula to it - an indicator on top of an indicator. Using this logic, I decided to try using a Stochastic on the existing Stochastic in order to smooth it out - hence the "Double Stochastic". I have also added the option to add RSI on to the indicator as well (with smoothing if you'd like).

Resolution:
I added this so you can look at the reading on any time frame.

K & D:
This is the standard K% and D% used with the Stochastic indicator - the numbers modify the length of their calculations.

Smooth:
This is the smoothing calculation, also from the normal Stochastic indicator.

Use Second Stochastic:
This adds a second Stochastic on to the chart for analysis.

K & D 2:
This is the parameters used to calculate the second K% and D% lines.

Smooth 2:
This is the smoothing interval for the second K% and D% lines.

Use K% and D%:
The default for this is to have it on. What it means is that you wish to see both the K% and D% lines (watching for a cross). If you turn this off, the plot switches to a K% & D% difference line. It is just one line that plots the distance between the two.

SMA Length Using Difference:
If this is on, then you can smooth the difference plot with an SMA , obviously if you just want the raw difference to plot, then set this to 1.

Use RSI:
Since both RSI and Stochastic use a 0-100 scale, I added the ability to plot the RSI along with the Stochastic . This will not plot if you are using the Difference plot, being that plot isn't on a 0-100 scale.

Smooth RSI:
I also added the ability to smooth the RSI if you'd like, you can turn this off for the standard RSI reading.

RSI Length:
This is the period of bars used to calculate the RSI .

RSI Smoothing Length:
This is the smoothing interval if you'd like to apply a moving average on the regular RSI reading.

RSI Smoothing Use EMA:
This makes the RSI smoothing use an EMA , when off an SMA is used instead.

RSI Source:
And finally, this is the source used to calculate the RSI value.

I hope that you all may find this useful, I have been using it myself with a lot of success. Any questions, please leave them in the comments, thanks!
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