py-market-profile

Unverified Other strategy on Multi by bfolkens. BotFinder score 18 out of 100.

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

Source: github

Explorer/Multi/py-market-profile
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py-market-profile

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py-market-profile

============== Market Profile ============== .. image:: https://api.travis-ci.org/bfolkens/py-market-profile.svg?branch=master :alt: Travis-CI Build Status :target: https://travis-ci.org/bfolkens/py-market-profile .. image:: https://readthedocs.org/projects/marketprofile/badge/?version=latest :target: https://marketprofile.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status A library to calculate Market Profile (Volume Profile) from a Pandas DataFrame. This library expects the DataFrame to have an index of timestamp and columns for each of the OHLCV values. Free software: BSD license Installation ============ :: pip install marketprofile Example ======= You can view a Jupyter notebook of an example with charts here: Pull in some data to play with: from marketprofile import MarketProfile import pandasdatareader as data amzn = data.getdatayahoo('AMZN', '2019-12-01', '2019-12-31') Create the MarketProfile object from a Pandas DataFrame: mp = MarketProfile(amzn) mpslice = mp[amzn.index.min():amzn.index.max()] Once you've chosen a slice, you can return the profile series: mp

PythonOpen-sourcefinancequanttradingtrading-algorithmstrading-strategies
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Source
bfolkens
Since 2015 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
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Stars407
Forks135
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LanguagePython
License—
Last update2023-10-30
Created2017-10-04
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