Skip to main content

A Package for Point and Figure Charting

Project description

pyPnF

A Python package for Point and Figure Charting

license Python Version PyPi Version Package Status


Installation

pip install pypnf

Usage

Quickstart using integrated time-series example

from pypnf import PointFigureChart
from pypnf import dataset

ts = dataset('Set 1')

pnf = PointFigureChart(ts=ts,method='cl', reversal=3, boxsize=1, scaling='abs')
print(pnf)
Point & Figure (abs|cl) 1 x 3
---  -  -  -  -  -  ---
117  .  .  .  .  X  117
116  .  .  X  .  X  116
115  X  .  X  O  X  115
114  X  O  X  O  X  114
113  X  O  X  O  .  113
112  X  O  .  .  .  112
111  X  .  .  .  .  111
---  -  -  -  -  -  ---
printed 5/5 columns.

Quickstart using time-series data loaded via the external package yfinance

If the yfinance and/or pandas package is not yet installed use:

pip install pandas
pip install yfinance

In order to process the downloaded data with the PointFigureChart-class the time-series data needs to be prepared.

import yfinance as yf

symbol = 'AAPL'

data = yf.Ticker(symbol)
ts = data.history(start='2018-01-01', end='2020-06-30')

# reset index
ts.reset_index(level=0, inplace=True)

# convert pd.timestamp to string
ts.date = ts.date.dt.strftime('%Y-%m-%d')

# select required keys
ts = ts[['date','open','high','low','close']]

# convert DataFrame to dictionary
ts = ts.to_dict('list')

Initiate the PointFigureChart object with the prepared data and chart parameter, get the trendlines and print the resulting Point and Figure Chart.

from pypnf import PointFigureChart

pnf = PointFigureChart(ts=ts, method='cl', reversal=3, boxsize=2, scaling='abs', title='AAPL')
pnf.get_trendlines()
print(pnf)
Point & Figure (abs|cl) 2 x 3 | AAPL
--  -  -  -  -  -  -  -  -  -  -  -  --
90  .  .  .  .  .  .  .  .  .  .  X  90
88  .  .  .  .  .  .  .  .  .  .  X  88
86  .  .  .  .  .  .  .  .  .  .  X  86
84  .  .  .  .  .  .  .  .  .  .  X  84
82  .  .  .  .  .  .  .  .  .  .  X  82
80  .  .  .  .  X  .  .  .  .  .  X  80
78  .  .  .  .  X  O  .  .  .  .  X  78
76  .  .  .  .  X  O  .  .  .  .  X  76
74  .  .  .  .  X  O  X  .  .  .  X  74
72  .  .  .  .  X  O  X  O  .  .  X  72
70  .  .  .  .  X  O  X  O  .  .  X  70
68  .  .  .  .  X  O  .  O  X  .  X  68
66  .  .  .  .  X  .  .  O  X  O  X  66
64  .  .  .  .  X  .  .  O  X  O  X  64
62  .  .  .  .  X  .  .  O  .  O  X  62
60  .  .  .  .  X  .  .  .  .  O  X  60
58  *  .  .  .  X  .  .  .  .  O  X  58
56  X  *  .  .  X  .  .  .  .  O  .  56
54  X  O  *  .  X  .  .  .  .  .  .  54
52  X  O  .  *  X  .  .  .  .  .  *  52
50  X  O  X  .  X  .  .  .  .  *  .  50
48  X  O  X  O  X  .  .  .  *  .  .  48
46  X  O  X  O  X  .  .  *  .  .  .  46
44  X  O  X  O  .  .  *  .  .  .  .  44
42  X  O  X  .  .  *  .  .  .  .  .  42
40  X  O  X  .  *  .  .  .  .  .  .  40
38  .  O  X  *  .  .  .  .  .  .  .  38
36  .  O  *  .  .  .  .  .  .  .  .  36
--  -  -  -  -  -  -  -  -  -  -  -  --
last trendline: bullish support line of length 10
printed 11/11 columns.

Literature

Weber, Zieg (2003) The Complete Guide to Point-and-Figure Charting - The new science of an old art. Harriman House, ISBN: 1-897-5972-82

du Plessis (2012) The Definitive Guide to Point and Figure: A Comprehensive Guide to the Theory and Practical Use of the Point and Figure Charting Method. 2nd Edition. Harriman House, ISBN: 978-0857192455

du Plessis (2015) 21st Century Point and Figure - New and advanced techniques for using Point and Figure charts. Harriman House, ISBN: 978-0857194428

Shah (2018) Trading the Markets the Point & Figure way : become a noiseless trader and achieve consistent success in markets. Notion Press, ISBN: 978-1642492248


Copyright

pyPnF is licensed under a GNU General Public License v2 (GPLv2).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypnf-0.0.2.tar.gz (23.4 kB view hashes)

Uploaded Source

Built Distribution

pypnf-0.0.2-py3-none-any.whl (22.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page