PySCIPOpt VS ta-lib-python

It’s impossible to recommend the right tool for the job, and honestly, depending on how much maths you know it might be hard to make progress, but I’d put money on a constraint solver reducing the time from hours to seconds. Can recommend this one https://github.com/scipopt/PySCIPOpt

I guess that pySCIP might be what you are looking for. Note that SCIP only supports linear objectives. However, since quadratic constraints are supported, you can easily use an auxiliary constraint to present the objective, e.g. min z s.t. z <= x*x.

From the docs (https://github.com/scipopt/PySCIPOpt/blob/master/INSTALL.md#installation-from-pypi)

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

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