algoind 0.0.3

A collection of technical indicators for backtesting and for implementing trading strategies in Python3.

ALGOIND: A Technical Indicators collection in Python.

🔎 What is it

• algoind is python3 package that contains technical indicators for backtesting and for implementing trading strategies in Python3.

• 😃 Who I am

  • My name is Matteo, a 21 years old FinTech student.
  • I created this library for my personal usage and I decided publish it because it think can be useful for someone.
  • 👋 You can find my contacts here.

• The source code is currently hosted on GitHub at: https://github.com/matteoincremona/algoind/

• Thanks to Investopedia.com that provided me a vast amount of knowledge to be able to create this library.

💻 How to Install it

# conda
conda install -c conda-forge algoind

# PyPI
pip install algoind

📈 Features

This is the list of all the indicators algoind contains:

• Single Moving Average (SMA)
• Esponential Moving Average (EMA)
• Average True Range (ATR)
• Relative Strenght Index (RSI)
• Upper Bollinger Bands (BBU)
• Lower Bollinger Bands (BBL)
• Mid Bollinger Bands (BBM)
• Moving Average Convergence Divergence (MACD)
• Moving Average Convergence Divergence Signal (MACDsignal)

✅ Example: How to use it

# After the installation of the package:
import algoind
from algoind import indicators as ind

# Let's try SMA: what should we know about it?
help(ind.SMA)

# Let's try SMA that takes, for example:
# - The close prices of a df: "df.Close"
# - The period for the calculation of the SMA: "20"
SMA20 = ind.SMA(df.Close, 20)

# To see the values of the indicator:
SMA20

⚙️ Discussion and Development

I will be very enthusiastic if somebody would like to help me with this project.

Contact me if you have any problem or if you want me to add new indicators.

Thank you.