| title | author | date |
|---|---|---|
jhTAlib |
Joost Hoeks |
2020-12-28 |
jhTAlib
Technical Analysis Library Time-Series
You can use and import it for your:
-
Technical Analysis Software
-
Charting Software
-
Backtest Software
-
Trading Robot Software
-
Trading Software in general
Work in progress...
Depends only on
Install
From PyPI:
$ [sudo] pip3 install jhtalibFrom source - source mirror 1 - source mirror 2:
$ git clone https://github.com/joosthoeks/jhTAlib.git
$ cd jhTAlib
$ [sudo] pip3 install -e .Update
From PyPI:
$ [sudo] pip3 install --upgrade jhtalibFrom source - source mirror 1 - source mirror 2:
$ cd jhTAlib
$ git pull [upstream master]In Docker
From DockerHub:
$ docker pull joosthoeks/jhtalib
$ docker run -it joosthoeks/jhtalib /bin/bash
/usr/src/app# python3
>>> import jhtalib as jhtaFrom source - source mirror 1 - source mirror 2:
$ git clone https://github.com/joosthoeks/jhTAlib.git
$ cd jhTAlib
$ docker build -f Dockerfile -t jhtalib .
$ docker run -it jhtalib /bin/bash
/usr/src/app# python3
>>> import jhtalib as jhtaIn Colab
From PyPI:
!pip install --upgrade jhtalib
import jhtalib as jhtaFrom source - source mirror 1 - source mirror 2:
!git clone [-b branch-name] https://github.com/joosthoeks/jhTAlib.git
%cd '/content/jhTAlib'
import jhtalib as jhta
%cd '/content'
!rm -rf ./jhTAlib/Basic Usage
""""""
# Import Built-Ins:
from pprint import pprint as pp
# Import Third-Party:
# Import Homebrew:
import jhtalib as jhta
# df is DataFeed:
df = {
'datetime': ('20151217', '20151218', '20151221', '20151222', '20151223', '20151224', '20151228', '20151229', '20151230', '20151231'),
'Open': (235.8, 232.3, 234.1, 232.2, 232.7, 235.4, 236.9, 234.85, 236.45, 235.0),
'High': (238.05, 236.9, 237.3, 232.4, 235.2, 236.15, 236.9, 237.6, 238.3, 237.25),
'Low': (234.55, 230.6, 230.2, 226.8, 231.5, 233.85, 233.05, 234.6, 234.55, 234.4),
'Close': (234.6, 233.6, 230.2, 230.05, 234.15, 236.15, 233.25, 237.6, 235.75, 234.4),
'Volume': (448294, 629039, 292528, 214170, 215545, 23548, 97574, 192908, 176839, 69347)
}
# basic usage:
#pp (df)
pp (jhta.SMA(df, 10))
#pp (jhta.BBANDS(df, 10))Reference
$ python3
>>> import jhtalib as jhta
>>> dir(jhta)
>>> help(jhta)
>>> help(jhta.behavioral_techniques)
>>> help(jhta.candlestick)
>>> help(jhta.cycle_indicators)
>>> help(jhta.data)
>>> help(jhta.event_driven)
>>> help(jhta.experimental)
>>> help(jhta.general)
>>> help(jhta.information)
>>> help(jhta.math_functions)
>>> help(jhta.momentum_indicators)
>>> help(jhta.overlap_studies)
>>> help(jhta.pattern_recognition)
>>> help(jhta.price_transform)
>>> help(jhta.statistic_functions)
>>> help(jhta.uncategorised)
>>> help(jhta.volatility_indicators)
>>> help(jhta.volume_indicators)
>>> quit()Check Installation
$ python3
>>> import jhtalib as jhta
>>> jhta.example()If not errors then installation is correct.
>>> quit()
