wow all the math i learned back 20 years ago suddenly make sense now, thanks bro !!
Thank you! This feature will make an excellent addition to my collection.
Thanks again for the amazing insights, knowledge, and techniques that you teach! Another banger video :)
What does it mean if one day's closing price is visible on another day? So what information does being visible give us? The graph can also be created by other methods. What is the logic of this method?
Nice stepping through your code. Thanks for a very interesting topic I never heard of before
thank you, new ideas are always good, i personally enjoyed this video and looking forward to new ones...
This is good for retrospective analysis only because you don't know how high or low the next bar will be. Unless there's a working theory on extrapolation solely based on visibility graphs. But still the future is not visible from the present so I doubt whether it is really possible. I have found derivative chain data to be highly reliable for first information
Awe yeah. Great stuff. Would be super cool if you wrote a function of a Lagrangian and compared the mins and max’s Maybe see which one finds it faster ?
This is my kind of content!! Thank you!!!
Very well explained. I look forward to more on similar topics. Have you considered structural entropy thresholds for risk-on risk off signals? There have been some other posts and videos on this but your excellent python coding and clear explanations would add to this. Tank you
Does it really mean anything with trading data that a node is "visible" from another node. Intuitively I don't see the connection. Visibility graphs are normally used for objects in Euclidean space, right? cheers.
Thanks a lot for the insightful video!
I like the look of the horizontal visibility graph. Maybe I can post a request for an indicator on MQL4? Wonder how much it would cost
Fascinating video, keep up great work
Amazing content man, thanks a lot. What code editor are you using? vim?
How about the spectral values of the visibility graph?
Interesting method, but I don't understand how we are supposed to use this technique. Could we identify cycles in the graph to find some sort of seasonality in the time series?
Very interesting video, thank you. I think I understand the idea behind using a visibility graph, but I'm not sure about the symmetry of that adjacency matrix. A point in the past is visible from the past, but not vice versa, so "visibility" in the "visibility graph" could be not quite true. It would be interesting to see one-directional links which I guess would make that graph a tree. However the shortest path is a metric available only in a fully connected graph, so I'd need to read about graph theory a lot to understand which metric would be a good candidate for this experiment.
as always greatfull for the knowledge that you share <3
@jeremycarroll451