MACS VS ta-lib-python

Maybe not? Have a look at this: https://github.com/macs3-project/MACS/issues/123

Try making a conda env using their install instructions and then adding the package last (https://github.com/macs3-project/MACS/blob/master/docs/INSTALL.md). I haven't used this package before, but it looks finicky, so be patient trying to set it up on your system

That’s a MACS2 narrowPeak file. You can see the file spec here: https://github.com/macs3-project/MACS/blob/master/docs/callpeak.md

One such excellent Python library is TA-Lib. (https://github.com/TA-Lib/ta-lib-python)

Have you looked TA-Lib?

TA-Lib

Dev here. I've wanted to get into doing this for as long as I can remember. Back in 2018 I got a half start at it, pulling in Binance candle data for all intervals with python and then running them all through every TA function of ta-lib to generate corresponding indicators. I intended to take it that next step further into picking up ML, and wanted to write a script that would pair every permutation of indicator looking for combinations that improve certainty for price direction changes (the certainty of BOLL + RSI was going to be used as my baseline for a known semi-reliable combo). I would really love to circle back someday to finishing that up, and then start sucking in candle data from as many markets as I could afford the AWS services for lol. That's my dream dashboard.

Not sure what they are using specifically, but ta-lib has candle pattern matching.

Just use TA-Lib https://mrjbq7.github.io/ta-lib/

Doesn't seem like an official mirror but if you're curious what the code looks like, including the python/C bindings, here it is: https://github.com/mrjbq7/ta-lib

I use talib https://mrjbq7.github.io/ta-lib/ and it accurately mirrors binance

This from a closed issue.