Fractal Nesting Based on Multiple Timeframes

Is that indicator open-source?

 

Yup. If you're using TradingView, hit "/" on the keyboard and enter "MTF Candle" in the search box.

 

There are a number of them, care to narrow the search?

On another note.
Some older work visualizing Daily Highs/Lows with statistical significance
14:25 has the greatest occurrences of posting a daily H/L

It varies with instruments. This is CL from 2008

 

MTF candle [Pt]

 

I'm more interested in what time these highs and lows occur throughout the day. Think you can tabulate them?

 

A sunburst visualization is read from:
Interpreted by size of segments;
1) midnight clockwise; most occurrences
2) inner ring to outer ring; larger sets to smaller sets

You'd have to do the work yourself for alternative data formats. My interactive visualization tool is not accessible publicly. It shows counts but not probabilities, my javascript skillz are not that developed yet.

 

Aloha Sprout,

Thanks for sharing. I like where this graphic is going, but am a little lost. Would it be possible to give a little more explanation, please?

Mahalo!

 

nm, you posted answer at same time i posted Q.

Thank you!

 

At some point, I'd like to get it to this type of real-time visualization



https://moebio.com/mind/

My current implementation is based on the 10 cases of price ala Jack Hershey
This is just the price component which hasn't been mapped to time yet nor volume
It just calculates the probabilities of the next case of a price case as one builds bar strings.
What has emerged from the tool is that as one goes to higher timeframes the market roughly is up 1/3, down 1/3 and ranges 1/3. It's only as one drills down where directional probabilities begin to stack and expose edge.



It's in exploratory mode, where the string of cases: XB -> OB -> OB has as the next price case be an XB with 36% probability. The strings can be extended to create a 'map' of monthly and weekly profiles based on historical data.

The goal going fully automated but my coding skillz aren't as developed and I'm bumping up against the limitations of pinescript's token and memory allocations.

 

Sprout,

Thank you very much for sharing another great visualization of how you view the market's flow, and for sparking new ideas!!

For your price case statistics, it looks like you've done statistics on 7 bar strings of price case variations? This is an interesting probability I have never considered. Absolutely going to dig deeper into this one.

Mahalo!