Metadata-Version: 2.1
Name: numla
Version: 0.0.1
Summary: Fast numpy LAbeled aRRaY for financial time series data. Simply load, slice, cache, and analyze. Accelerators: C, Numba, Vectorization.
Project-URL: Homepage, https://github.com/flockrush/numla
Project-URL: Bug Tracker, https://github.com/flockrush/numla/issues
Author-email: Flockrush <team@flockrush.com>
License-File: LICENSE
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# Numla Package

Fast numpy LAbeled aRRaY for financial time series data. Simply load, slice, cache, and analyze. Accelerators: C, Numba, Vectorization.

pip3 install numla

from numla import larry 

or

import numla as la

>>>>ohlcv = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])

>>>>label = [['open', 'high', 'low', 'close', 'volume'], ['2022-01-17 00:00:00', '2022-01-18 00:00:00']]

>>>>dk = larry(ohlcv, label, dtype=float)

>>>or

>>>>dk = larry(dataframe)