# Install TA-Lib: https://www.ta-lib.org
    wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
    tar -xvzf ta-lib-0.4.0-src.tar.gz
    cd ta-lib
    ./configure --prefix=/usr
    make
    make install
 
# Install Python wrapper.
    pip install TA-Lib

#!/usr/bin/python3
import numpy as np
import talib
 
# Display all functions.
#~ print(talib.get_functions())
 
# Display list of functions of group.
print(talib.get_function_groups()['Overlap Studies'])
#~ print(talib.get_function_groups()['Momentum Indicators'])
#~ print(talib.get_function_groups()['Volume Indicators'])
#~ print(talib.get_function_groups()['Volatility Indicators'])
#~ print(talib.get_function_groups()['Pattern Recognition'])
#~ print(talib.get_function_groups()['Cycle Indicators'])
#~ print(talib.get_function_groups()['Statistic Functions'])
#~ print(talib.get_function_groups()['Price Transform'])
#~ print(talib.get_function_groups()['Math Transform'])
#~ print(talib.get_function_groups()['Math Operators'])
 
# Display information about SMA, Simple Moving Average
#   and how to call it.
help(talib.SMA)
 
# Calculate Simple Moving Average.
###############################
sma_data = np.array([ 81.59, 81.06, 82.87, 83,    83.61,
                      83.15, 82.84, 83.99, 84.55, 84.36,
                      85.53, 86.54, 86.89, 87.77, 87.29])
sma_results = talib.SMA(sma_data, timeperiod=5)
print(sma_results)

['BBANDS', 'DEMA', 'EMA', 'HT_TRENDLINE', 'KAMA', 'MA', 'MAMA', 'MAVP', 'MIDPOINT', 
    'MIDPRICE', 'SAR', 'SAREXT', 'SMA', 'T3', 'TEMA', 'TRIMA', 'WMA']
 
Help on function SMA in module talib._ta_lib:
 
SMA(...)
    SMA(real[, timeperiod=?])
 
    Simple Moving Average (Overlap Studies)
 
    Inputs:
        real: (any ndarray)
    Parameters:
        timeperiod: 30
    Outputs:
        real
 
[    nan     nan     nan     nan  82.426  82.738  83.094  83.318  83.628
  83.778  84.254  84.994  85.574  86.218  86.804]