Pandas over then Tulipy technical indicators library.
- Author: Daniel J. Umpierrez
- Version: 0.1.2
- License: UNLICENSE
This project is created to integrate tulipy functions with Pandas library.
- numpy
- pandas
- tulipy
# requirements installation
sudo apt-get update
sudo apt-get install python3-pandas python3-pip python3-cython
sudo pip install --user tulipy
Just import needed functions and call.
import pandas as pd
from pantulipy import ema
# replace this by your OHLC DataFrame
ohlc_data = pd.DataFrame()
print(ema(ohlc_data, 5).tail())
- Implement class with functions.
- [*] Write some documentation.
- Write some tests.
- Added most common default values for many functions.
- Some code refactor.
- Added "requirements.txt" file.
- Now _tup function fit ohlc size and fill nan values by using DataFrame bfill method
- Initial version.