BotHawks - Automated Trade Recommendation for CoinBase

The purpose of this project is to simply and provide an easy access to fetch price quotation form the coinbase API.

URL: http://bothawks.com/ | https://bothawks.web.app

Front End

The client interface offer live price update from the Coinbase API and a possible subscription to alert.

Back End

Folder Cassandra

• Project_Template.ipynb - Performs ETL
• event_data - CSV files to be pre-processed
• event_data_etl.csv - Streamlined file to create database from

Venv

• python3 -m venv env

• source env/bin/activate

• pip freeze > requirements.txt (To generate a txt)

• pip install -r requirements.txt

Aiflow

• export AIRFLOW_HOME=~/airflow # Root user

• export AIRFLOW_HOME=$PWD/airflow # Folder application

• pip install apache-airflow

• airflow db init

• airflow webserver -p 8080

• airflow scheduler

MongoDB

mongo

show dbs

use cryptocurrency_database

db.BTC_collection.find()

db.dropDatabase()

ENV for trading secret

Please use coinbase pro.

COINBASE_EXCHANGE_API_KEY=
COINBASE_EXCHANGE_API_SECRET=
COINBASE_EXCHANGE_API_PASSPHRASE=

References

• https://github.com/danpaquin/coinbasepro-python
• https://github.com/danielktaylor/PyLimitBook
• https://towardsdatascience.com/moving-averages-in-python-16170e20f6c#:~:text=The%20simple%20moving%20average%20is,at%20the%20expense%20of%20accuracy.&text=The%20easiest%20way%20to%20calculate,is%20by%20using%20the%20pandas.