Pandas over then Tulipy technical indicators library.
- Author: Daniel J. Umpierrez
- Version: 0.1.3
- License: MIT
This project is created to integrate newtulipy functions with Pandas library.
- cython
- numpy
- pandas
- newtulipy
# requirements installation
sudo apt-get update
sudo apt-get install python3-numpy python3-pandas python3-pip python3-cython cython3
pip3 install newtulipy
pip3 install git+https://github.com/havocesp/pantulipyJust 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.
- Cython and numpy added as dependencies.
- Replace tulipy with newtulipy.
- 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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent
