Technical Indicators for the Pandas' Dataframes
Project description
Technical Indicators for the Pandas’ Dataframes
Documentation: https://pandastechindicators.readthedocs.io/en/latest/
Installation
pip install -U tapy
Example
>>> import pandas as pd >>> from tapy import Indicators >>> df = pd.read_csv('EURUSD60.csv') >>> indicators = Indicators(df) >>> indicators.accelerator_oscillator(column_name='AC') >>> indicators.sma() >>> df = indicators.df >>> df.tail() Date Time Open High Low Close Volume AC sma 3723 2019.09.20 16:00 1.10022 1.10105 1.10010 1.10070 2888 -0.001155 1.101296 3724 2019.09.20 17:00 1.10068 1.10193 1.10054 1.10184 6116 -0.000820 1.101158 3725 2019.09.20 18:00 1.10186 1.10194 1.10095 1.10144 3757 -0.000400 1.101056 3726 2019.09.20 19:00 1.10146 1.10215 1.10121 1.10188 3069 0.000022 1.101216 3727 2019.09.20 20:00 1.10184 1.10215 1.10147 1.10167 1224 0.000388 1.101506
Available Indicators
Accelerator Oscillator (AC)
Accumulation/Distribution (A/D)
Alligator
Average True Range (ATR)
Awesome Oscillator (AO)
Bears Power
Bollinger Bands
Bulls Power
Commodity Channel Index (CCI)
DeMarker (DeM)
Exponential Moving Average (EMA)
Force Index (FRC)
Fractals
Gator Oscillator
Ichimoku Kinko Hyo
Market Facilitation Index (BW MFI)
Momentum
Money Flow Index (MFI)
Simple Moving Average (SMA)
Smoothed Moving Average (SMMA)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tapy-1.8.1.tar.gz
(9.0 kB
view hashes)
Built Distribution
tapy-1.8.1-py3-none-any.whl
(9.0 kB
view hashes)