Quanta is a technical analysis datascience platform written in Clojure.
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Quanta works predominantly with vectors. It uses TechML Dataset to be fast. A similar python project is vectorbt.
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Ease of Use: TA tries to get out of your way so that you can focus on algorithm development. See below for a code example.
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"Batteries Included": many common statistics like moving average and linear regression can be readily accessed from within a user-written algorithm.
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Statistics and Machine Learning Libraries: You can use libraries similar to matplotlib, scipy, statsmodels, and sklearn to support development, analysis, and visualization of state-of-the-art trading systems.
Quanta is a library. quanta docs
code linter clj -M:lint
*code formatter clj -M:cljfmt-fix
unit tests bb test-clj
warehouse io-performance speed test bb performance-test