Open blexo opened 1 month ago
I mean, returning zeros isn't unusual.
Do you think that test case should return non-zero?
Here is a more extreme example... and it could just be that the code algo is different than what I was using as a learning example: https://commodity.com/technical-analysis/morning-star/
Day 4, sharply down (27 to 20) Day 5, slightly down (20 to 18) Day 6, sharply up (18 to 30)
data = { 'Open': [30, 29, 28, 27, 20, 18, 26, 28, 29, 30, 31, 32, 33], 'High': [31, 30, 29, 28, 26, 25, 27, 29, 30, 31, 32, 33, 34], 'Low': [29, 28, 27, 26, 24, 23, 25, 27, 28, 29, 30, 31, 32], 'Close': [29, 28, 27, 20, 18, 30, 28, 29, 30, 31, 32, 33, 34] }
I've tried various penetration values... from .1 to .3
Am I misunderstanding how it should work?
It seems that the issue arises because some fixed rules, such as criteria for determining whether a candlestick is a long, medium, or short bearish one, are hardcoded in the pattern recognition function. Is it possible to modify these hardcoded criteria into parameters that everyone can adjust according to their needs?
update: Sorry, I found a solution in a previous issue. I hope it can help you. #624
Not sure if I am misunderstanding something... but I am getting all zeros for many pattern rec functions...
numpy v1.26.4 pandas v2.2.2 TA-Lib v0.4.28
example code:
Results: Open Prices: [22. 21. 20. 18. 16. 16. 18. 19. 20. 21. 22. 23. 24.] High Prices: [23. 22. 21. 19. 17. 17. 19. 20. 21. 22. 23. 24. 25.] Low Prices: [21. 20. 19. 17. 15. 15. 17. 18. 19. 20. 21. 22. 23.] Close Prices: [21. 20. 18. 16. 16. 18. 19. 20. 21. 22. 23. 24. 25.] Morning Star Pattern: [0 0 0 0 0 0 0 0 0 0 0 0 0]