Pip install talib ошибка

Frustratingly having a lot of difficult installing the TA-Lib package in python.

https://pypi.python.org/pypi/TA-Lib

I have read through all the forum posts I can find on this but no such luck for my particular problem..

Windows 10
Python 3.5.2
Anaconda 4.2.0
Cython 0.24.1
Microsoft Visual Studio 14.0

I have downloaded and extracted  ta-lib-0.4.0-msvc.zip to C:/TA-Lib
(common problems seem to be people not installing the underlying TA-Lib file http://www.ta-lib.org/hdr_dw.html)

If someone could help me solve this I would be very appreciative!

Using ‘pip install ta-lib’ I get the following:

C:\Users\Matt>pip install ta-lib
Collecting ta-lib
  Using cached TA-Lib-0.4.10.tar.gz
Building wheels for collected packages: ta-lib
  Running setup.py bdist_wheel for ta-lib ... error
  Complete output from command c:\users\matt\anaconda3\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\Matt\\AppData\\Local\\Temp\\pip-build-vv02ktg_\\ta-lib\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d C:\Users\Matt\AppData\Local\Temp\tmpqstzmsgspip-wheel- --python-tag cp35:
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build\lib.win-amd64-3.5
  creating build\lib.win-amd64-3.5\talib
  copying talib\deprecated.py -> build\lib.win-amd64-3.5\talib
  copying talib\test_abstract.py -> build\lib.win-amd64-3.5\talib
  copying talib\test_data.py -> build\lib.win-amd64-3.5\talib
  copying talib\test_func.py -> build\lib.win-amd64-3.5\talib
  copying talib\test_stream.py -> build\lib.win-amd64-3.5\talib
  copying talib\__init__.py -> build\lib.win-amd64-3.5\talib
  running build_ext
  skipping 'talib\common.c' Cython extension (up-to-date)
  building 'talib.common' extension
  creating build\temp.win-amd64-3.5
  creating build\temp.win-amd64-3.5\Release
  creating build\temp.win-amd64-3.5\Release\talib
  C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -Ic:\users\matt\anaconda3\lib\site-packages\numpy\core\include -Ic:\ta-lib\c\include -Ic:\users\matt\anaconda3\include -Ic:\users\matt\anaconda3\include "-IC:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.10240.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\8.1\include\shared" "-IC:\Program Files (x86)\Windows Kits\8.1\include\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\winrt" /Tctalib\common.c /Fobuild\temp.win-amd64-3.5\Release\talib\common.obj
  common.c
  C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:c:\ta-lib\c\lib /LIBPATH:c:\users\matt\anaconda3\libs /LIBPATH:c:\users\matt\anaconda3\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\LIB\amd64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.10240.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\8.1\lib\winv6.3\um\x64" ta_libc_cdr.lib /EXPORT:PyInit_common build\temp.win-amd64-3.5\Release\talib\common.obj /OUT:build\lib.win-amd64-3.5\talib\common.cp35-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.5\Release\talib\common.cp35-win_amd64.lib
  common.obj : warning LNK4197: export 'PyInit_common' specified multiple times; using first specification
     Creating library build\temp.win-amd64-3.5\Release\talib\common.cp35-win_amd64.lib and object build\temp.win-amd64-3.5\Release\talib\common.cp35-win_amd64.exp
  common.obj : error LNK2001: unresolved external symbol TA_SetUnstablePeriod
  common.obj : error LNK2001: unresolved external symbol TA_Shutdown
  common.obj : error LNK2001: unresolved external symbol TA_Initialize
  common.obj : error LNK2001: unresolved external symbol TA_GetUnstablePeriod
  common.obj : error LNK2001: unresolved external symbol TA_GetVersionString
  build\lib.win-amd64-3.5\talib\common.cp35-win_amd64.pyd : fatal error LNK1120: 5 unresolved externals
  error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\link.exe' failed with exit status 1120

  ----------------------------------------
  Failed building wheel for ta-lib
  Running setup.py clean for ta-lib
Failed to build ta-lib
Installing collected packages: ta-lib
  Running setup.py install for ta-lib ... error
    Complete output from command c:\users\matt\anaconda3\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\Matt\\AppData\\Local\\Temp\\pip-build-vv02ktg_\\ta-lib\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record C:\Users\Matt\AppData\Local\Temp\pip-qxmjmn5m-record\install-record.txt --single-version-externally-managed --compile:
    running install
    running build
    running build_py
    creating build
    creating build\lib.win-amd64-3.5
    creating build\lib.win-amd64-3.5\talib
    copying talib\deprecated.py -> build\lib.win-amd64-3.5\talib
    copying talib\test_abstract.py -> build\lib.win-amd64-3.5\talib
    copying talib\test_data.py -> build\lib.win-amd64-3.5\talib
    copying talib\test_func.py -> build\lib.win-amd64-3.5\talib
    copying talib\test_stream.py -> build\lib.win-amd64-3.5\talib
    copying talib\__init__.py -> build\lib.win-amd64-3.5\talib
    running build_ext
    skipping 'talib\common.c' Cython extension (up-to-date)
    building 'talib.common' extension
    creating build\temp.win-amd64-3.5
    creating build\temp.win-amd64-3.5\Release
    creating build\temp.win-amd64-3.5\Release\talib
    C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -Ic:\users\matt\anaconda3\lib\site-packages\numpy\core\include -Ic:\ta-lib\c\include -Ic:\users\matt\anaconda3\include -Ic:\users\matt\anaconda3\include "-IC:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.10240.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\8.1\include\shared" "-IC:\Program Files (x86)\Windows Kits\8.1\include\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\winrt" /Tctalib\common.c /Fobuild\temp.win-amd64-3.5\Release\talib\common.obj
    common.c
    C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:c:\ta-lib\c\lib /LIBPATH:c:\users\matt\anaconda3\libs /LIBPATH:c:\users\matt\anaconda3\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\LIB\amd64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.10240.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\8.1\lib\winv6.3\um\x64" ta_libc_cdr.lib /EXPORT:PyInit_common build\temp.win-amd64-3.5\Release\talib\common.obj /OUT:build\lib.win-amd64-3.5\talib\common.cp35-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.5\Release\talib\common.cp35-win_amd64.lib
    common.obj : warning LNK4197: export 'PyInit_common' specified multiple times; using first specification
       Creating library build\temp.win-amd64-3.5\Release\talib\common.cp35-win_amd64.lib and object build\temp.win-amd64-3.5\Release\talib\common.cp35-win_amd64.exp
    common.obj : error LNK2001: unresolved external symbol TA_SetUnstablePeriod
    common.obj : error LNK2001: unresolved external symbol TA_Shutdown
    common.obj : error LNK2001: unresolved external symbol TA_Initialize
    common.obj : error LNK2001: unresolved external symbol TA_GetUnstablePeriod
    common.obj : error LNK2001: unresolved external symbol TA_GetVersionString
    build\lib.win-amd64-3.5\talib\common.cp35-win_amd64.pyd : fatal error LNK1120: 5 unresolved externals
    error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\link.exe' failed with exit status 1120

    ----------------------------------------
Command "c:\users\matt\anaconda3\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\Matt\\AppData\\Local\\Temp\\pip-build-vv02ktg_\\ta-lib\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record C:\Users\Matt\AppData\Local\Temp\pip-qxmjmn5m-record\install-record.txt --single-version-externally-managed --compile" failed with error code 1 in C:\Users\Matt\AppData\Local\Temp\pip-build-vv02ktg_\ta-lib\

I ran into exactly the same problem and was able to resolve it and install TA-lib on Linux and my OSX laptop. I’ll stick to linux instructions here specifically CentOS, but the trick for both was the same… you must have TA-lib binary libraries installed on the machine before the python wrapper will install with pip.

The reference I used: ttps://github.com/mrjbq7/ta-lib

If this command is failing:

pip install TA-lib

Complaining about ta_libc headers as such:

func.c:256:28: fatal error: ta-lib/ta_libc.h: No such file or directory
compilation terminated.

You’ll need to install TA-lib binaries before installing the python wrapper. I downloaded it as follows:

wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz

Then uncompressed it, compiled it and installed:

tar -xvf ta-lib-0.4.0-src.tar.gz 
cd ta-lib
./configure --prefix=/usr
make
sudo make install
sudo ldconfig

If you don’t have gcc and/or python3-dev on your machine, the above steps will give you hard time. Initially they were blowing up on me, so I satisfied the dependencies with:

sudo yum install gcc
sudo yum install python36-dev

Then re-run the steps from the beginning, this time with success. The above solution worked in my case.

I hope that helps, Good Luck!

BTW. My first ever answer here, I hope it helps someone, I’ve used StackOverflow to get passed many problems in the past, so I am hoping to reciprocate.

2018-08-30 UDPATE: I kept running into compiling issues specifically the error listed below would happen repeatedly. It turned out that I didn’t have enough RAM (1GB) in the Virtual Machine. Solution ref:(https://github.com/mrjbq7/ta-lib/issues/133) so I upgraded RAM (2GB) and issue went away.

talib/_ta_lib.c:208671:15: warning: assignment from incompatible pointer type [enabled by default]

2021-03-06 UDPATE: OSX Catalina update! When compiling the TA-lib on OSX Catalina (10.15+) the above instructions did not work, I had to modify this:

tar -xvf ta-lib-0.4.0-src.tar.gz 
cd ta-lib 
./configure 
make
sudo make install 

After that, the pip install worked fine. –

Answer by Kailani Proctor

You could try the «Unofficial Windows Binaries for Python Extension Packages
by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine.»,Some unofficial (and unsupported) instructions for building on 64-bit Windows 10, here for reference:,Making statements based on opinion; back them up with references or personal experience.,
By clicking “Accept all cookies”, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy.

Since we have downloaded the file, TA_Lib‑0.4.17‑cp37‑cp37m‑win_amd64.whl, the command would be:

pip install TA_Lib‑0.4.17‑cp35‑cp35m‑win_amd64.whl`

Answer by Mekhi Huff

Command «C:\Users\yiugn_\Anaconda3\python.exe -u -c «import setuptools, tokenize;file=’C:\Users\yiugn_\AppData\Local\Temp\pip-build-of4wiq6k\ta-lib\setup.py’;f=getattr(tokenize, ‘open’, open)(file);code=f.read().replace(‘\r\n’, ‘\n’);f.close();exec(compile(code, file, ‘exec’))» install —record C:\Users\yiugn_\AppData\Local\Temp\pip-heu3fbw7-record\install-record.txt —single-version-externally-managed —compile» failed with error code 1 in C:\Users\yiugn_\AppData\Local\Temp\pip-build-of4wiq6k\ta-lib\,Command «C:\Users\yiugn\Anaconda3\python.exe -u -c «import setuptools, tokenize;file=’C:\Users\yiugn\AppData\Local\Temp\pip-build-fq2if3tu\ta-lib\setup.py’;f=getattr(tokenize, ‘open’, open)(file);code=f.read().replace(‘\r\n’, ‘\n’);f.close();exec(compile(code, file, ‘exec’))» install —record C:\Users\yiugn\AppData\Local\Temp\pip-xucc65l0-record\install-record.txt —single-version-externally-managed —compile» failed with error code 1 in C:\Users\yiugn\AppData\Local\Temp\pip-build-fq2if3tu\ta-lib\,Building wheel for ta-lib (setup.py) … error
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 -u -c ‘import sys, setuptools, tokenize; sys.argv[0] = ‘»‘»‘/tmp/pip-install-8lvvui4u/ta-lib/setup.py'»‘»‘; file='»‘»‘/tmp/pip-install-8lvvui4u/ta-lib/setup.py'»‘»‘;f=getattr(tokenize, ‘»‘»‘open'»‘»‘, open)(file);code=f.read().replace(‘»‘»‘\r\n'»‘»‘, ‘»‘»‘\n'»‘»‘);f.close();exec(compile(code, file, ‘»‘»‘exec'»‘»‘))’ bdist_wheel -d /tmp/pip-wheel-1yzigke3
cwd: /tmp/pip-install-8lvvui4u/ta-lib/,Windows is the biggest source of problems because most people don’t have C compilers and expect to be able to install binaries.

----------------------------------------

Answer by Tucker Flynn

To use TA-Lib for python, you need to have the TA-Lib
already installed:,If you get build errors like this, it typically means that it can’t find the
underlying TA-Lib library and needs to be installed:,If you build TA-Lib using make -jX it will fail but that’s OK!
Simply rerun make -jX followed by [sudo] make install.,Download ta-lib-0.4.0-msvc.zip
and unzip to C:\ta-lib

You can install from PyPI:

$ pip install TA-Lib

Or checkout the sources and run setup.py yourself:

$ python setup.py install

Troubleshooting Install Errors

func.c:256:28: fatal error: ta-lib/ta_libc.h: No such file or directory
compilation terminated.

Mac OS X

$ brew install ta-lib

Download ta-lib-0.4.0-src.tar.gz and:

$ untar and cd
$ ./configure --prefix=/usr
$ make
$ sudo make install

Answer by Phoenix Little

Recall that at the start of this tutorial on Installing Python Ta-Lib, we talked about Bollinger Bands. Well, let’s try that one now.,First, we call the python language by simply writing “python” in the terminal. We then use the following command to import the Ta-Lib library.,The Ta-lib installation in Linux can be a bit tricky. The libraries necessary for the Ta-lib installation should be installed first before you install the Python wrapper.,If there are no errors, then it means that the python Ta-Lib library has been successfully installed on your computer.

Check if you can use the ‘brew’ command. For this tutorial on how to install Ta-Lib, let us assume that the ‘brew’ command throws an error. To rectify this, we install the necessary package by using the following line of code in the MacOS shell:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Thus, the code will be as follows:

import talib as ta import matplotlib.pyplot as plt plt.style.use('bmh')
import yfinance as yf aapl = yf.download('AAPL', '2019-1-1','2019-12-27')

Let us start off with something simple. We will find the Simple Moving Average and the Exponential Moving Average of Apple stock data. We will use the following code:

aapl['Simple MA'] = ta.SMA(aapl['Close'],14)
aapl['EMA'] = ta.EMA(aapl['Close'], timeperiod = 14)

# Plot aapl
[['Close','Simple MA','EMA']].plot(figsize=(15,15)) plt.show()

Recall that at the start of this tutorial on Installing Python Ta-Lib, we talked about Bollinger Bands. Well, let’s try that one now.

# Bollinger Bands aapl['upper_band'], aapl['middle_band'], aapl['lower_band'] = ta.BBANDS(aapl['Close'], timeperiod =20)

# Plot aapl[['Close','upper_band','middle_band','lower_band']].plot(figsize=(15,15)) plt.show()

Now, can you figure out from the code below, what are the parameters passed?

aapl['RSI'] = ta.RSI(aapl['Close'],14) aapl['RSI'].plot(figsize=(15,15)) plt.show()

As a bonus, we plotted the Stochastic oscillators as well, the code is given below:

aapl['slowk'], aapl['slowd'] = ta.STOCH(aapl['High'], aapl['Low'], aapl['Close'], fastk_period=14, slowk_period=3, slowk_matype=0, slowd_period=3, slowd_matype=0) aapl[['slowk','slowd']].plot(figsize=(15,15)) plt.show()

aapl['fastk'], aapl['fastd'] = ta.STOCHF(aapl['High'], aapl['Low'], aapl['Close'], fastk_period=14, fastd_period=3, fastd_matype=0) aapl[['fastk','fastd']].plot(figsize=(15,15)) plt.show()

Answer by Azalea Lambert

checked the Troubleshooting, installed the gcc, python-devel, libffi-devel, openssl-devel, but still not working!,but got this error «command ‘gcc’ failed with exit status 1»:,If you don’t have gcc and/or python3-dev on your machine, the above steps will give you hard time. Initially they were blowing up on me, so I satisfied the dependencies with:,You can put this in a script called install_talib.sh or something, and then run ./install_talib.sh from the command line.

i install TA-lib with below command,

pip install TA-lib

Answer by Charlie Carter

To use TA-Lib for python, you need to have the
TA-Lib already installed. You should
probably follow their installation directions for your platform, but some
suggestions are included below for reference.,This typically means setup.py can’t find the underlying TA-Lib
library, a dependency which needs to be installed.,This typically means that you need the Python headers, and should run
something like:,Similar to TA-Lib, the Function API provides a lightweight wrapper of the
exposed TA-Lib indicators.

You can install from PyPI:

$ pip install TA-Lib

Or checkout the sources and run setup.py yourself:

$ python setup.py install

It also appears possible to install via
Conda Forge:

$ conda install -c conda-forge ta-lib

Mac OS X

$ brew install ta-lib

If you are using a M1 laptop and Homebrew, then you can set these before
installing:

export TA_INCLUDE_PATH="$(brew --prefix ta-lib)/include"
export TA_LIBRARY_PATH="$(brew --prefix ta-lib)/lib"

Download ta-lib-0.4.0-src.tar.gz and:

$ tar -xzf ta-lib-0.4.0-src.tar.gz
$ cd ta-lib/
$ ./configure --prefix=/usr
$ make
$ sudo make install

If you get a warning that looks like this:

setup.py:79: UserWarning: Cannot find ta-lib library, installation may fail.
warnings.warn('Cannot find ta-lib library, installation may fail.')

If you installed the underlying TA-Lib library with a custom prefix
(e.g., with ./configure --prefix=$PREFIX), then when you go to install
this python wrapper you can specify additional search paths to find the
library and include files for the underlying TA-Lib library using the
TA_LIBRARY_PATH and TA_INCLUDE_PATH environment variables:

$ export TA_LIBRARY_PATH=$PREFIX/lib
$ export TA_INCLUDE_PATH=$PREFIX/include
$ python setup.py install # or pip install ta-lib

Sometimes installation will produce build errors like this:

talib/_ta_lib.c:601:10: fatal error: ta-lib/ta_defs.h: No such file or directory
  601 | #include "ta-lib/ta_defs.h"
      |          ^~~~~~~~~~~~~~~~~~
compilation terminated.

or:

common.obj : error LNK2001: unresolved external symbol TA_SetUnstablePeriod
common.obj : error LNK2001: unresolved external symbol TA_Shutdown
common.obj : error LNK2001: unresolved external symbol TA_Initialize
common.obj : error LNK2001: unresolved external symbol TA_GetUnstablePeriod
common.obj : error LNK2001: unresolved external symbol TA_GetVersionString

Sometimes installation will fail with errors like this:

talib/common.c:8:22: fatal error: pyconfig.h: No such file or directory
 #include "pyconfig.h"
                      ^
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1

This typically means that you need the Python headers, and should run
something like:

$ sudo apt-get install python3-dev

Sometimes building the underlying TA-Lib library has errors running
make that look like this:

../libtool: line 1717: cd: .libs/libta_lib.lax/libta_abstract.a: No such file or directory
make[2]: *** [libta_lib.la] Error 1
make[1]: *** [all-recursive] Error 1
make: *** [all-recursive] Error 1

Sometimes you might get this error running setup.py:

/usr/include/limits.h:26:10: fatal error: bits/libc-header-start.h: No such file or directory
#include <bits/libc-header-start.h>
         ^~~~~~~~~~~~~~~~~~~~~~~~~~

If you wonder why STOCHRSI gives you different results than you expect,
probably you want STOCH applied to RSI, which is a little different
than the STOCHRSI which is STOCHF applied to RSI:

>>> import talib
>>> import numpy
>>> c = numpy.random.randn(100)

# this is the library function
>>> k, d = talib.STOCHRSI(c)

# this produces the same result, calling STOCHF
>>> rsi = talib.RSI(c)
>>> k, d = talib.STOCHF(rsi, rsi, rsi)

# you might want this instead, calling STOCH
>>> rsi = talib.RSI(c)
>>> k, d = talib.STOCH(rsi, rsi, rsi)

All of the following examples use the Function API:

import numpy
import talib

close = numpy.random.random(100)

Calculate a simple moving average of the close prices:

output = talib.SMA(close)

Calculating bollinger bands, with triple exponential moving average:

from talib import MA_Type

upper, middle, lower = talib.BBANDS(close, matype=MA_Type.T3)

Calculating momentum of the close prices, with a time period of 5:

output = talib.MOM(close, timeperiod=5)

For example, inputs could be provided for the typical «OHLCV» data:

import numpy as np

# note that all ndarrays must be the same length!
inputs = {
    '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)
}

Functions can either be imported directly or instantiated by name:

from talib import abstract

# directly
SMA = abstract.SMA

# or by name
SMA = abstract.Function('sma')

From there, calling functions is basically the same as the function API:

from talib.abstract import *

# uses close prices (default)
output = SMA(inputs, timeperiod=25)

# uses open prices
output = SMA(inputs, timeperiod=25, price='open')

# uses close prices (default)
upper, middle, lower = BBANDS(inputs, 20, 2, 2)

# uses high, low, close (default)
slowk, slowd = STOCH(inputs, 5, 3, 0, 3, 0) # uses high, low, close by default

# uses high, low, open instead
slowk, slowd = STOCH(inputs, 5, 3, 0, 3, 0, prices=['high', 'low', 'open'])

An experimental Streaming API was added that allows users to compute the latest
value of an indicator. This can be faster than using the Function API, for
example in an application that receives streaming data, and wants to know just
the most recent updated indicator value.

import talib
from talib import stream

close = np.random.random(100)

# the Function API
output = talib.SMA(close)

# the Streaming API
latest = stream.SMA(close)

# the latest value is the same as the last output value
assert (output[-1] - latest) < 0.00001

We can show all the TA functions supported by TA-Lib, either as a list or
as a dict sorted by group (e.g. «Overlap Studies», «Momentum Indicators»,
etc):

import talib

# list of functions
print talib.get_functions()

# dict of functions by group
print talib.get_function_groups()

Overlap Studies

BBANDS               Bollinger Bands
DEMA                 Double Exponential Moving Average
EMA                  Exponential Moving Average
HT_TRENDLINE         Hilbert Transform - Instantaneous Trendline
KAMA                 Kaufman Adaptive Moving Average
MA                   Moving average
MAMA                 MESA Adaptive Moving Average
MAVP                 Moving average with variable period
MIDPOINT             MidPoint over period
MIDPRICE             Midpoint Price over period
SAR                  Parabolic SAR
SAREXT               Parabolic SAR - Extended
SMA                  Simple Moving Average
T3                   Triple Exponential Moving Average (T3)
TEMA                 Triple Exponential Moving Average
TRIMA                Triangular Moving Average
WMA                  Weighted Moving Average

Momentum Indicators

ADX                  Average Directional Movement Index
ADXR                 Average Directional Movement Index Rating
APO                  Absolute Price Oscillator
AROON                Aroon
AROONOSC             Aroon Oscillator
BOP                  Balance Of Power
CCI                  Commodity Channel Index
CMO                  Chande Momentum Oscillator
DX                   Directional Movement Index
MACD                 Moving Average Convergence/Divergence
MACDEXT              MACD with controllable MA type
MACDFIX              Moving Average Convergence/Divergence Fix 12/26
MFI                  Money Flow Index
MINUS_DI             Minus Directional Indicator
MINUS_DM             Minus Directional Movement
MOM                  Momentum
PLUS_DI              Plus Directional Indicator
PLUS_DM              Plus Directional Movement
PPO                  Percentage Price Oscillator
ROC                  Rate of change : ((price/prevPrice)-1)*100
ROCP                 Rate of change Percentage: (price-prevPrice)/prevPrice
ROCR                 Rate of change ratio: (price/prevPrice)
ROCR100              Rate of change ratio 100 scale: (price/prevPrice)*100
RSI                  Relative Strength Index
STOCH                Stochastic
STOCHF               Stochastic Fast
STOCHRSI             Stochastic Relative Strength Index
TRIX                 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA
ULTOSC               Ultimate Oscillator
WILLR                Williams' %R

Volume Indicators

AD                   Chaikin A/D Line
ADOSC                Chaikin A/D Oscillator
OBV                  On Balance Volume

Cycle Indicators

HT_DCPERIOD          Hilbert Transform - Dominant Cycle Period
HT_DCPHASE           Hilbert Transform - Dominant Cycle Phase
HT_PHASOR            Hilbert Transform - Phasor Components
HT_SINE              Hilbert Transform - SineWave
HT_TRENDMODE         Hilbert Transform - Trend vs Cycle Mode

Price Transform

AVGPRICE             Average Price
MEDPRICE             Median Price
TYPPRICE             Typical Price
WCLPRICE             Weighted Close Price

Volatility Indicators

ATR                  Average True Range
NATR                 Normalized Average True Range
TRANGE               True Range

Pattern Recognition

CDL2CROWS            Two Crows
CDL3BLACKCROWS       Three Black Crows
CDL3INSIDE           Three Inside Up/Down
CDL3LINESTRIKE       Three-Line Strike
CDL3OUTSIDE          Three Outside Up/Down
CDL3STARSINSOUTH     Three Stars In The South
CDL3WHITESOLDIERS    Three Advancing White Soldiers
CDLABANDONEDBABY     Abandoned Baby
CDLADVANCEBLOCK      Advance Block
CDLBELTHOLD          Belt-hold
CDLBREAKAWAY         Breakaway
CDLCLOSINGMARUBOZU   Closing Marubozu
CDLCONCEALBABYSWALL  Concealing Baby Swallow
CDLCOUNTERATTACK     Counterattack
CDLDARKCLOUDCOVER    Dark Cloud Cover
CDLDOJI              Doji
CDLDOJISTAR          Doji Star
CDLDRAGONFLYDOJI     Dragonfly Doji
CDLENGULFING         Engulfing Pattern
CDLEVENINGDOJISTAR   Evening Doji Star
CDLEVENINGSTAR       Evening Star
CDLGAPSIDESIDEWHITE  Up/Down-gap side-by-side white lines
CDLGRAVESTONEDOJI    Gravestone Doji
CDLHAMMER            Hammer
CDLHANGINGMAN        Hanging Man
CDLHARAMI            Harami Pattern
CDLHARAMICROSS       Harami Cross Pattern
CDLHIGHWAVE          High-Wave Candle
CDLHIKKAKE           Hikkake Pattern
CDLHIKKAKEMOD        Modified Hikkake Pattern
CDLHOMINGPIGEON      Homing Pigeon
CDLIDENTICAL3CROWS   Identical Three Crows
CDLINNECK            In-Neck Pattern
CDLINVERTEDHAMMER    Inverted Hammer
CDLKICKING           Kicking
CDLKICKINGBYLENGTH   Kicking - bull/bear determined by the longer marubozu
CDLLADDERBOTTOM      Ladder Bottom
CDLLONGLEGGEDDOJI    Long Legged Doji
CDLLONGLINE          Long Line Candle
CDLMARUBOZU          Marubozu
CDLMATCHINGLOW       Matching Low
CDLMATHOLD           Mat Hold
CDLMORNINGDOJISTAR   Morning Doji Star
CDLMORNINGSTAR       Morning Star
CDLONNECK            On-Neck Pattern
CDLPIERCING          Piercing Pattern
CDLRICKSHAWMAN       Rickshaw Man
CDLRISEFALL3METHODS  Rising/Falling Three Methods
CDLSEPARATINGLINES   Separating Lines
CDLSHOOTINGSTAR      Shooting Star
CDLSHORTLINE         Short Line Candle
CDLSPINNINGTOP       Spinning Top
CDLSTALLEDPATTERN    Stalled Pattern
CDLSTICKSANDWICH     Stick Sandwich
CDLTAKURI            Takuri (Dragonfly Doji with very long lower shadow)
CDLTASUKIGAP         Tasuki Gap
CDLTHRUSTING         Thrusting Pattern
CDLTRISTAR           Tristar Pattern
CDLUNIQUE3RIVER      Unique 3 River
CDLUPSIDEGAP2CROWS   Upside Gap Two Crows
CDLXSIDEGAP3METHODS  Upside/Downside Gap Three Methods

Statistic Functions

BETA                 Beta
CORREL               Pearson's Correlation Coefficient (r)
LINEARREG            Linear Regression
LINEARREG_ANGLE      Linear Regression Angle
LINEARREG_INTERCEPT  Linear Regression Intercept
LINEARREG_SLOPE      Linear Regression Slope
STDDEV               Standard Deviation
TSF                  Time Series Forecast
VAR                  Variance

Answer by Clementine Reynolds

You could try the «Unofficial Windows Binaries for Python Extension Packages
by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine.»,Some unofficial (and unsupported) instructions for building on 64-bit Windows 10, here for reference:,Go to the following page: https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib
Choose your version of python: cp35 means Python 3.5 (64 bit for example)
,Go on cmd and in the same directory (…\Python\Python35\Scripts) execute the following command:

Download ta-lib-0.4.0-msvc.zip from http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-msvc.zip and unzip to C:\ta-lib

ta-lib-0.4.0-msvc.zip

Download ta-lib-0.4.0-msvc.zip from http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-msvc.zip and unzip to C:\ta-lib

C:\ta-lib

Answer by Azrael Juarez

both shows that I need to downgrade my python==3.8 to lower version, which I can’t, especially, I need to use keras tunner.,I have tried a few ways to install it:,Meta-labeling and Stacking,There is a way to install TA-Lib for any version of python in Anaconda as shown in this video:

I have tried a few ways to install it:

pip install ta-lib

and

conda install -c quantopian ta-lib