Triangle Pattern Recognition on Financial Market with Python

External question — Data Science Stack Exchange Author: Martin Bouhier Original post: https://datascience.stackexchange.com/questions/67856 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. I'm working on a personal project to find Triangles on any stock in Python. I detect the max and min points (shift(-5,+5) because if I consider only shift(-1+1) I have a lot of lines) and write lines between 2 max points and 2 min points. I should continue with this or I should try with another method? What I'm trying to get is this:

External answer — Data Science Stack Exchange Author: alphazwest Original post: https://datascience.stackexchange.com/a/100099 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. I came here looking for insight for this same concept—so realize I don't really know what I'm talking about. With that in mind; you might re-consider your shift to only consider backward figures. You wouldn't have access to future

External answer — Data Science Stack Exchange Author: reza karbasi Original post: https://datascience.stackexchange.com/a/100304 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. I have an idea for this. This algorithm works on machine vision problems for finding lines of a picture from many keypoint points on a picture. This algorithm called Hough Transform . follow the link for more information. I think you can find local extremums in different scales. and base on this dots, run the Hough algorithm and find lines. I did'nt do this but conceptually fits the problem! If it works properly you will have strong trend lines and you can find it's accuracy by weights of this algorithm.