Wheelodex » Projects » quant-invest-lab

quant-invest-lab

View on PyPI — Reverse Dependencies (0)

0.2.11 quant_invest_lab-0.2.11-py3-none-any.whl

Wheel Details

Project: quant-invest-lab
Version: 0.2.11
Filename: quant_invest_lab-0.2.11-py3-none-any.whl
Download: [link]
Size: 43897
MD5: 86f6ecb702846a2e4f41c03b4e988dfe
SHA256: 052f58e30be676ebffe3c1a28df426a042f78989acfd7f0cd34349527d492c40
Uploaded: 2023-11-25 15:31:20 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: quant-invest-lab
Version: 0.2.11
Summary: Quant Invest Lab is a python package to help you to do some quantitative experiments, while trying to learn or build quantitative investment solutions. This project was initially my own set of functionnalities but I decided to build a package for that and sharing it as open source project.
Author: BaptisteZloch
Author-Email: bzloch[at]hotmail.fr
Maintainer: BaptisteZloch
Maintainer-Email: bzloch[at]hotmail.fr
Home-Page: https://github.com/BaptisteZloch/Quant-Invest-Lab
Project-Url: Bug Tracker, https://github.com/BaptisteZloch/Quant-Invest-Lab/issues
Project-Url: Repository, https://github.com/BaptisteZloch/Quant-Invest-Lab
License: MIT
Keywords: trading,backtest,investments,portfolio,quantitative
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Office/Business :: Financial :: Investment
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9,<3.12
Requires-Dist: beautifulsoup4 (<5.0.0,>=4.12.2)
Requires-Dist: bokeh (<4.0.0,>=3.2.2)
Requires-Dist: emd-signal (<2.0.0,>=1.4.0)
Requires-Dist: fitter (<2.0.0,>=1.5.2)
Requires-Dist: kucoin-python (<2.0.0,>=1.0.11)
Requires-Dist: matplotlib (<4.0.0,>=3.7.1)
Requires-Dist: nbformat (<6.0.0,>=5.8.0)
Requires-Dist: numpy (<2.0.0,>=1.23.5)
Requires-Dist: pandas (<2.0.0,>=1.5.3)
Requires-Dist: plotly (<6.0.0,>=5.14.1)
Requires-Dist: pywavelets (<2.0.0,>=1.4.1)
Requires-Dist: scikit-learn (<2.0.0,>=1.2.2)
Requires-Dist: scipy (<2.0.0,>=1.10.1)
Requires-Dist: seaborn (<0.13.0,>=0.12.2)
Requires-Dist: statsmodels (<0.15.0,>=0.14.0)
Requires-Dist: ta (<0.11.0,>=0.10.2)
Requires-Dist: tqdm (<5.0.0,>=4.64.1)
Description-Content-Type: text/markdown
[Description omitted; length: 5021 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.8.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
quant_invest_lab/backtest.py sha256=Fxt5h9iteYfJipQHV3cGWoywez-XtPyIO1ipDYSdbNs 38872
quant_invest_lab/constants.py sha256=wtVcaJOZC5TGDyxOYXNbBUR-49RIe21wKOCHOnxabZQ 1977
quant_invest_lab/data_provider.py sha256=fx3p8s0Oe3HTRCTYhpQMbRPrlZIO-TxA8-DC74ze1p4 16664
quant_invest_lab/indicators.py sha256=WUAneaf76DKAF5dk6c4w5qvjNBpjspVWoRWkarByhB4 28054
quant_invest_lab/metrics.py sha256=gxpGphuFrg3G5vFN6l0C9oA6F54qFsjmD7ExtA0hJIU 21794
quant_invest_lab/optimization.py sha256=jA4QzSoUbULlbdfwLQuvUu4WSIfoSCIZJzIY8PNFNHo 7659
quant_invest_lab/portfolio.py sha256=5sTZcgHoKX6dRx15i8_iItHqwN2wq2P_A44g6S7s0iE 17698
quant_invest_lab/reports.py sha256=NvOLYmqANJdRc2kVSeGKRMw5TvT6WlEbAHIE_hhW2Hk 35138
quant_invest_lab/screener.py sha256=09sCLwHOBk4fsNO6vtG5geq5Noq3eOXsOMuuQ58yzFc 3577
quant_invest_lab/signal_processing.py sha256=bjcHj2-ov1UhCMBS3ecjOTQKSOKM-cZeMy7QAtg7KMM 7329
quant_invest_lab/simulation.py sha256=4KZAYWFKYvDQEAUub0lGZ3jOR8p1jt4ccCIbryKWxek 7848
quant_invest_lab/types.py sha256=oV9O4kYr7wvMOQkbRNpPMD_I0_XslVWZVovjh_bN-CY 712
quant_invest_lab/utils.py sha256=kbrYFn1QHfAlUa5p7mSDGTVflyYytYRlNSGhko_xjHk 4131
quant_invest_lab-0.2.11.dist-info/METADATA sha256=oJCZ7KRceCThvDDLsl_UfSuUkvDpppP02JpXIufT-Dw 7014
quant_invest_lab-0.2.11.dist-info/WHEEL sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4 88
quant_invest_lab-0.2.11.dist-info/RECORD — —