Dash_eth

This project is trying to fetch real time balance & orderbook of ETH and visualise using dash

Getting Started

Running the app locally

First create a virtual environment with conda or venv inside a temp folder, then activate it.

virtualenv venv

# Windows
venv\Scripts\activate
# Or Linux
source venv/bin/activate

Clone the git repo, then install the requirements with pip

git clone https://github.com/jianwang0212/Dash_eth.git
cd Dash_eth
pip install -r requirements.txt

Run the app

python3 app.py

About the Data_fetcher folder

fetcher_bal_orderbook.py: fetch orderbook and bal data in an exchange => save to the database.

fetcher_trades.py: fetch historical my trades for an exchange => save to the database.

merger_td_bal_ods.py: merge all data into a single table in SQL

check_sql.ipynb: check the SQL database for the above three tables in the pandas dataframe format

other files: make it easy for test single function for the fetcher

p.s.

• the config file is the API key and secret you need to get your bal & personal trade

The format may look like the following(fake key)

indodax = {
    'apiKey': 'BB5W3D5U-SK2PSU13-LYD123412P-DTGTHVOL-ZCU3478KUH',
    'secret': '6028casdw20843c5e1dae31c289d6f45bf742a0dfsdf2c69cd73b7f92cf3901'
}

• You may want to use the .ipynb (Jupyter notebook) to see how the fetcher work

Built With

• Dash - Main server and interactive components
• Plotly Python - Used to create the interactive plots