stocktrends ===========

A python package to calculate trends in stock markets.

.. image:: https://img.shields.io/pypi/v/stocktrends.svg :target: https://pypi.python.org/pypi/stocktrends :alt: Latest PyPI version

Installation

To install stable version from pypi, run

.. code-block:: shell

pip install stocktrends

To install latest code from github, run

.. code-block:: shell

pip install git+https://github.com/chillaranand/stocktrends

Usage

| The following code from demo.py file shows how to construct dataframe from a csv file and then plot Renko, Line Break and PnF charts.

.. code-block:: python

""" Sample data from tests/HDFCLIFE.csv file.

Date,Symbol,Series,Prev Close,Open,High,Low,Last,Close,VWAP,Volume,Turnover,Trades,Deliverable Volume,%Deliverble 2017-11-17,HDFCLIFE,EQ,290.0,310.0,369.0,307.0,343.9,344.6,327.26,168836552,5525288229115000.0,1177530,82044782,0.48590000000000005 2017-11-20,HDFCLIFE,EQ,344.6,344.7,358.9,344.0,355.0,355.35,353.18,14650240,517410581605000.0,166263,6761287,0.4615 2017-11-21,HDFCLIFE,EQ,355.35,356.4,418.9,352.5,386.9,385.3,389.24,43078194,1676786001315000.0,450090,11584111,0.26890000000000003 2017-11-22,HDFCLIFE,EQ,385.3,388.0,408.0,386.9,394.0,395.2,397.38,15227642,605123098895000.0,166870,3475999,0.22829999999999998 """

import pandas as pd

from stocktrends import indicators

df = pd.read_csv('tests/HDFCLIFE.csv') df.columns = [i.lower() for i in df.columns] rows = 5

pnf = indicators.PnF(df) pnf.box_size = 10 pnf.reversal_size = 3

print('\n\nPnF BAR data - based on "close" column') data = pnf.getbarohlc_data(source='close') print(data.head(rows))

print('\n\nPnF BOX data - based on "close" column') pnfdata = pnf.getohlc_data(source='close') print(pnf_data.head(rows))

print('\n\nPnF BOX data - based on "high"/"low" columns') data = pnf.getbarohlc_data(source='hl') print(data.head(rows))

renko = indicators.Renko(df)

print('\n\nRenko box calcuation based on periodic close') renko.brick_size = 2 renko.charttype = indicators.Renko.PERIODCLOSE data = renko.getohlcdata() print(data.tail(rows))

# print('\n\nRenko box calcuation based on price movement') # renko.charttype = indicators.Renko.PRICEMOVEMENT # data = renko.getohlcdata() # print(data.tail(rows))

lb = indicators.LineBreak(df)

print('\n\nLine break chart') lb.line_number = 3 data = lb.getohlcdata() print(data.tail(rows))