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        "author": "https://github.com/cirla/tulipy/blob/master/AUTHORS",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Financial and Insurance Industry",
            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Cython",
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        "description": "[![Build Status](https://travis-ci.org/cirla/tulipy.svg?branch=master)](https://travis-ci.org/cirla/tulipy)\n[![Build status](https://ci.appveyor.com/api/projects/status/g34af6ti605e2q4h?svg=true)](https://ci.appveyor.com/project/cirla/tulipy)\n\n# tulipy\n\n## Python bindings for [Tulip Indicators](https://tulipindicators.org/)\n\nTulipy requires [numpy](http://www.numpy.org/) as all inputs and outputs are numpy arrays (`dtype=np.float64`).\n\n## Installation\n\nYou can install via `pip install tulipy`.\nIf a wheel is not available for your system, you will need to `pip install Cython numpy` to build from the source distribution.\nWhen building from source on Windows, you will need the Microsoft Visual C++ Build Tools installed.\n\n## Usage\n\n\n```python\nimport numpy as np\nimport tulipy as ti\n```\n\n\n```python\nti.TI_VERSION\n```\n\n\n\n\n    '0.8.4'\n\n\n\n\n```python\nDATA = np.array([81.59, 81.06, 82.87, 83,    83.61,\n                 83.15, 82.84, 83.99, 84.55, 84.36,\n                 85.53, 86.54, 86.89, 87.77, 87.29])\n```\n\nInformation about indicators are exposed as properties:\n\n\n```python\ndef print_info(indicator):\n    print(\"Type:\", indicator.type)\n    print(\"Full Name:\", indicator.full_name)\n    print(\"Inputs:\", indicator.inputs)\n    print(\"Options:\", indicator.options)\n    print(\"Outputs:\", indicator.outputs)\n```\n\n\n```python\nprint_info(ti.sqrt)\n```\n\n    Type: simple\n    Full Name: Vector Square Root\n    Inputs: ['real']\n    Options: []\n    Outputs: ['sqrt']\n\n\nSingle outputs are returned directly. Indicators returning multiple outputs use\na tuple in the order indicated by the `outputs` property.\n\n\n```python\nti.sqrt(DATA)\n```\n\n\n\n\n    array([ 9.03271831,  9.00333272,  9.10329611,  9.11043358,  9.14385039,\n            9.11866218,  9.1016482 ,  9.16460583,  9.19510739,  9.18477   ,\n            9.24824308,  9.30268778,  9.32148057,  9.36856446,  9.34291175])\n\n\n\n\n```python\nprint_info(ti.sma)\n```\n\n    Type: overlay\n    Full Name: Simple Moving Average\n    Inputs: ['real']\n    Options: ['period']\n    Outputs: ['sma']\n\n\n\n```python\nti.sma(DATA, period=5)\n```\n\n\n\n\n    array([ 82.426,  82.738,  83.094,  83.318,  83.628,  83.778,  84.254,\n            84.994,  85.574,  86.218,  86.804])\n\n\n\nInvalid options will throw an `InvalidOptionError`:\n\n\n```python\ntry:\n    ti.sma(DATA, period=-5)\nexcept ti.InvalidOptionError:\n    print(\"Invalid Option!\")\n```\n\n    Invalid Option!\n\n\n\n```python\nprint_info(ti.bbands)\n```\n\n    Type: overlay\n    Full Name: Bollinger Bands\n    Inputs: ['real']\n    Options: ['period', 'stddev']\n    Outputs: ['bbands_lower', 'bbands_middle', 'bbands_upper']\n\n\n\n```python\nti.bbands(DATA, period=5, stddev=2)\n```\n\n\n\n\n    (array([ 80.53004219,  80.98714192,  82.53334324,  82.47198345,\n             82.41775044,  82.43520292,  82.51133078,  83.14261781,\n             83.53648779,  83.8703237 ,  85.28887096]),\n     array([ 82.426,  82.738,  83.094,  83.318,  83.628,  83.778,  84.254,\n             84.994,  85.574,  86.218,  86.804]),\n     array([ 84.32195781,  84.48885808,  83.65465676,  84.16401655,\n             84.83824956,  85.12079708,  85.99666922,  86.84538219,\n             87.61151221,  88.5656763 ,  88.31912904]))\n\n\n\nIf inputs of differing sizes are provided, they are right-aligned and trimmed from the left:\n\n\n```python\nDATA2 = np.array([83.15, 82.84, 83.99, 84.55, 84.36])\n```\n\n\n```python\n# 'high' trimmed to DATA[-5:] == array([ 85.53,  86.54,  86.89,  87.77,  87.29])\nti.aroonosc(high=DATA, low=DATA2, period=2)\n```\n\n\n\n\n    array([  50.,  100.,   50.])",
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