Trading Development Tutorials, Guides & Insights

   from flask import Flask, request, jsonify

   app = Flask(__name__)

   @app.route('/webhook', methods=['POST'])
   def webhook():
       data = request.json
       print(f"Webhook received: {data}")
       # Process the data as needed
       return jsonify({'status': 'success'}), 200

   if __name__ == '__main__':
       app.run(port=5000)

This Flask app listens for POST requests on /webhook and prints the received data. You can expand this to handle specific webhook events like order fills, price alerts, etc.

   def get_open_orders(symbol):
       response = session.get_active_order(symbol=symbol)
       open_orders = response['result']
       return open_orders

   open_orders = get_open_orders('BTCUSD')
   print("Open Orders:", open_orders)

Interacting with APIs often involves handling potential errors, such as network issues or invalid API requests. Here’s how you can handle errors with Pybit:

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