CHANGELOG

0.4.27
======

- [FIX]: Fix abstract info to keep values doubles when they are (e.g., nbdevup, nvdevdn)

0.4.26
======

- [NEW]: Upgrade to Cython 0.29.34

- [NEW]: Moved to https://github.com/ta-lib/ta-lib-python

- [FIX]: Fix deprecation warning for polars.DataFrame(columns=[...])

0.4.25
======

- [NEW]: Upgrade to Cython 0.29.32

- [FIX]: Allow Abstract API to be safely used with multithreading

0.4.24
======

- [FIX]: runtime_lib_dirs preventing install on Windows

0.4.23
======

- [NEW]: Upgrade to Cython 0.29.25

- [NEW]: Allow TA_INCLUDE_PATH and TA_LIBRARY_PATH to work on Windows.

- [FIX]: Remove pyproject.toml which was preventing some installs.

0.4.22
======

- [NEW]: Upgrade to Cython 0.29.24

- [NEW]: Support polars.Series in Function API

- [NEW]: Support polars.Series in Streaming API

- [NEW]: Support polars.DataFrame in Abstract API

- [NEW]: Switch tests to pytest from nose (no longer supported).

0.4.21
======

- [FIX]: Fixed {MIN/MAX/MINMAX}INDEX functions to return correct indices.

0.4.20
======

- [NEW]: Upgrade to Cython 0.29.23

- [FIX]: Fix Homebrew directory on Apple M1 devices

0.4.19
======

- [NEW]: Upgrade to Cython 0.29.20

- [NEW]: from talib import * (imports all func and stream)

- [FIX]: missing method signatures in PyCharm

0.4.18
======

- [NEW]: Upgrade to Cython 0.29.17

- [NEW]: Support TA_SetCompatibility

- [NEW]: Reduce size of generated C file and memory requirements to compile it.

- [FIX]: Fixed caching input price series in Abstract API

- [NEW]: Support pandas.Series in Streaming API

0.4.17
======

- [NEW]: Support pandas.Series in Function API

0.4.16
======

- [FIX]: Fix incorrect C header include on Windows.

0.4.15
======

- [FIX]: Import TA_FUNC_FLAGS, TA_INPUT_FLAGS, TA_OUTPUT_FLAGS into
         talib.abstract to support backwards compatibility for backtrader

0.4.14
======

- [NEW]: Upgrade to Cython 0.27.3

- [NEW]: Add support for set/restore candle settings

- [DOC]: Note Function API only supports numpy.ndarray (not pandas.Series)

- [NEW]: Continuous integration using Travis on Python 2.7, 3.4, 3.5, 3.6

- [NEW]: Merge common, func, abstract, stream as pxi to _ta_lib.pyx

- [DOC]: Update documentation to warn about unstable functions

0.4.10
======

- [NEW]: Upgrade to Cython 0.23.4.

- [NEW]: Adding an experimental Streaming API (talib.stream).

- [NEW]: Support for "sunos"

- [FIX]: Fix issue initializing library for use with candlestick functions.

- [NEW]: Support for TA_SetUnstablePeriod and TA_GetUnstablePeriod

0.4.9
=====

- [NEW]: Support for python 2.6 and earlier for ordereddict.

- [FIX]: Add lib64 paths to setup.py.

- [NEW]: Upgrade to Cython 0.22.

- [FIX]: Allow running setup.py without numpy or cython

- [NEW]: Allow TA_LIBRARY_PATH and TA_INCLUDE_PATH environment variables.

0.4.8
=====

- [NEW]: Support pandas.Series and pandas.Dataframe inputs.

- [FIX]: Simple check to warn if ta-lib library is not installed

- [FIX]: Fix missing key error when inputs are not default names.

- [NEW]: Upgrade to Cython 0.20.

- [FIX]: Check all input array lengths are same.

- [FIX]: Check all input arrays for NaN elements.

0.4.7
=====

- [NEW]: Upgrade to Cython 0.19.1.

- [FIX]: Fix "periods" input arrays in abstract interface.

- [FIX]: Only require necessary input arrays in abstract interface.

0.4.6
=====

- [NEW]: Support for function_flags and output_flags properties in Functions

0.4.5
=====

- [NEW]: Better test coverage of abstract interface.

- [NEW]: Support for Python 3.

0.4.4
=====

- [FIX]: Make installation on Windows easier.

0.4.3
=====

- [NEW]: Upgrade to Cython 0.18.

- [FIX]: Improve docstrings for indicators in talib.func.

- [FIX]: Initialize and shutdown underlying TA-Lib only once each process.
  This should give slight speedups when using many indicators (<5%).

- [DEPRECATED]: The old moving average types that were in talib.func are now
  deprecated. See the next bullet item for the replacement, or you can
  continue using them with "from talib import deprecated" for the time being.

- [NEW]: The new moving average types are in talib.MA_Type. It's a class with SMA,
  EMA, DEMA, etc attribute variables you should now use. Human-readable lookups
  are also possible by using MA_Type as a dict e.g.:

    MA_Type[MA_Type.SMA] # returns "Simple Moving Average"

- [NEW]: In addition to the existing func interface, we now provide an
  enhanced abstract interface too. Functions in "import talib" use the
  original interface, or you can use "from talib import abstract" for
  the full abstract interface. See the README, tools/example.py and
  tests/abstract_test.py for more information. The full (commented)
  source code is mostly located in talib/abstract.pyx. The basic usage is very
  similar:

    input_arrays = { 'open': np.random.random(100),
                     'high': np.random.random(100),
                     'low': np.random.random(100),
                     'close': np.random.random(100),
                     'volume': np.random.random(100) }
    ema_20 = abstract.Function('ema', input_arrays, 20).outputs # function names not case-sensitive
    slowd, slowk = abstract.Function('STOCH')(input_arrays, 15, 3, 0, 3, 0)
    upper, middle, lower = abstract.Function('bbands')(input_arrays, timeperiod=20)

0.4.2
=====

- Move the functions into ``talib.func``, to prepare for ``talib.abstract``
  in a future release.

0.4.1
=====

- Support for MacPorts.
- Fix for FreeBSD.

0.4.0
=====

First version.