Building a Flask Dashboard to Monitor Algorithmic Trading Bot - Part 4
Dive into building a Flask Dashboard to monitor your algorithmic trading bot and integrate Binance API for real-time trading.
Step 1: Setting Up Flask for Dashboard Monitoring
1. Install Flask
First, install Flask using pip:
pip install flask
2. Basic Flask App
Create a file app.py and start with a basic structure:
from flask import Flask, render_template
import alpaca_trade_api as tradeapi
# Alpaca API keys
ALPACA_API_KEY = 'your_alpaca_api_key'
ALPACA_SECRET_KEY = 'your_alpaca_secret_key'
BASE_URL = 'https://paper-api.alpaca.markets'
# Initialize Alpaca API
api = tradeapi.REST(ALPACA_API_KEY, ALPACA_SECRET_KEY, base_url=BASE_URL)
app = Flask(__name__)
@app.route('/')
def dashboard():
account = api.get_account()
equity = account.equity
cash = account.cash
return f"<h1>Account Equity: ${equity}</h1><h2>Available Cash: ${cash}</h2>"
if __name__ == '__main__':
app.run(debug=True)
3. Run the App
Start the Flask server:
python app.py
Open http://127.0.0.1:5000/ in your browser to view the account details.
Step 2: Expanding with Binance API
1. Install python-binance
pip install python-binance
2. Fetch Data from Binance
Update the Flask app to include Binance integration:
from binance.client import Client
# Binance API keys
BINANCE_API_KEY = 'your_binance_api_key'
BINANCE_SECRET_KEY = 'your_binance_secret_key'
# Initialize Binance Client
binance_client = Client(BINANCE_API_KEY, BINANCE_SECRET_KEY)
@app.route('/binance')
def binance_dashboard():
# Fetch account info
account_info = binance_client.get_account()
balances = account_info['balances']
btc_balance = next(item for item in balances if item['asset'] == 'BTC')
return f"<h1>BTC Balance: {btc_balance['free']}</h1>"
Visit /binance on your server to see your Binance BTC balance.
Step 3: Creating an Interactive Dashboard
1. Install Bootstrap for Styling
Use Bootstrap to enhance the UI. Add this to the dashboard() function:
@app.route('/')
def dashboard():
account = api.get_account()
equity = account.equity
cash = account.cash
return f"""
<!DOCTYPE html>
<html>
<head>
<title>Trading Dashboard</title>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
</head>
<body class="p-3">
<h1 class="text-primary">Trading Dashboard</h1>
<div class="card">
<div class="card-body">
<h3>Account Equity: ${equity}</h3>
<h4>Available Cash: ${cash}</h4>
</div>
</div>
</body>
</html>
"""
2. Add Real-Time Updates
Use JavaScript to refresh data periodically:
<script>
setInterval(() => {
location.reload();
}, 10000); // Refresh every 10 seconds
</script>
Step 4: Deploy the Dashboard
Deploy on Heroku
Install Heroku CLI:
brew tap heroku/brew && brew install heroku
Create requirements.txt:
pip freeze > requirements.txt
Create a Procfile:
web: python app.py
Deploy:
heroku create
git push heroku main
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