I automate the Head and Shoulders (H&S) chart pattern with python. I go over pattern recognition rules for identification. I also show how the pattern can be detected early. We backtest the performance of the H&S and its inverted version. We find that the head and shoulders pattern is inconsistent at varying scales for bitcoin data. Some sizes of H&S patterns worked, while others did not. But, using the early identification we find impressive results for the inverted pattern.

This video has a detailed explanation of the rolling window algorithm.
Chart Pattern Algorithms:    • 3 Must-Know Algorithms for Automating...  

Full Code: https://github.com/neurotrader888/Tec...
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The content covered on this channel is NOT to be considered as any financial or investment advice. Past results are not necessarily indicative of future results. This content is purely for education/entertainment.