Integrating Pine Script with Interactive Brokers' IBKR API (Interactive Brokers Low-Latency Routing or TWS API) is not direct since Pine Script runs exclusively on TradingView and does not support external integrations. However, you can achieve this integration indirectly by following these steps:

Workflow for Pine Script Integration with IBKR API

1. Signal Generation in Pine Script:

   • Write a Pine Script strategy or indicator on TradingView to generate buy/sell signals.
   • Use

     alertcondition()

     to set up alerts for your signals.

2. Set Up TradingView Alerts:

   • Configure alerts for your Pine Script strategy in TradingView.
   • Alerts should include necessary parameters like the symbol, side (buy/sell), quantity, etc.

3. Forward Alerts to IBKR:

   • Use a middleware service or a webhook receiver to forward TradingView alerts to a script/application that communicates with IBKR.
   • Popular tools for receiving alerts:
     • Webhook-based: Services like Zapier, Pipedream, or a custom webhook server (e.g., Flask/Django for Python, or Node.js).

4. IBKR API Integration:

   • Use IBKR's TWS API to execute trades. IBKR supports APIs in Python, Java, C++, and .NET.
   • Write a script to:
     • Parse the webhook payload from TradingView.
     • Use the IBKR API to execute trades, e.g., placing market/limit orders, managing positions, etc.

Implementation Details

Step 1: TradingView Pine Script

• Example Pine Script:

//@version=5
indicator("IBKR Integration Example", overlay=true)

// Define Buy/Sell Signals
longCondition = ta.crossover(ta.sma(close, 14), ta.sma(close, 50))
shortCondition = ta.crossunder(ta.sma(close, 14), ta.sma(close, 50))

// Plot Signals
plotshape(series=longCondition, style=shape.labelup, color=color.green, location=location.belowbar, text="BUY")
plotshape(series=shortCondition, style=shape.labeldown, color=color.red, location=location.abovebar, text="SELL")

// Alerts
alertcondition(longCondition, title="Buy Signal", message="Buy Signal on {{ticker}}")
alertcondition(shortCondition, title="Sell Signal", message="Sell Signal on {{ticker}}")

Step 2: Middleware for Alerts

• Example Alert JSON:

{
 "ticker": "AAPL",
 "signal": "buy",
 "quantity": 10
}

• Use middleware to capture this JSON and process it.

Step 3: Python Script for IBKR API

• Install the IBKR TWS API:

  ib_insync

  is a recommended library for Python.
• Example Python Script:

from ib_insync import *

# Connect to IBKR TWS
ib = IB()
ib.connect('127.0.0.1', 7497, clientId=1)

# Function to place an order
def place_order(symbol, action, quantity):
 contract = Stock(symbol, 'SMART', 'USD')
 order = MarketOrder(action, quantity)
 trade = ib.placeOrder(contract, order)
 print(f"Order placed: {trade}")

# Process webhook payload
def handle_webhook(data):
 symbol = data['ticker']
 action = 'BUY' if data['signal'].lower() == 'buy' else 'SELL'
 quantity = int(data['quantity'])
 place_order(symbol, action, quantity)

# Example payload
webhook_data = {"ticker": "AAPL", "signal": "buy", "quantity": 10}
handle_webhook(webhook_data)

# Disconnect
ib.disconnect()

Key Tools for Integration

1. TradingView Alerts: Configure webhook URL in the alert setup.
2. Webhook Middleware: Host a server to receive and process alerts.
3. IBKR TWS: Ensure the IBKR Gateway/TWS is running, and API settings are enabled.

Let’s break it down into clear steps to set up TradingView alerts, a webhook receiver, and an Interactive Brokers (IBKR) API script. Below is a step-by-step guide.

Step 1: Setting Up Pine Script in TradingView

1. Write the Pine Script: Use the sample below or modify it based on your needs:

   //@version=5
   indicator("IBKR Integration", overlay=true)
   
   // Define signals
   longCondition = ta.crossover(ta.sma(close, 14), ta.sma(close, 50))
   shortCondition = ta.crossunder(ta.sma(close, 14), ta.sma(close, 50))
   
   // Plot buy/sell markers
   plotshape(series=longCondition, style=shape.labelup, location=location.belowbar, color=color.green, text="BUY")
   plotshape(series=shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, text="SELL")
   
   // Alerts
   alertcondition(longCondition, title="Buy Signal", message='{"ticker":"{{ticker}}","signal":"buy"}')
   alertcondition(shortCondition, title="Sell Signal", message='{"ticker":"{{ticker}}","signal":"sell"}')
   

2. Add the Script to a Chart:

   • Apply it to the symbol you're trading (e.g., AAPL).

3. Set Alerts:

   • Open TradingView > Alerts.
   • Set up an alert using the

     longCondition

     and

     shortCondition

     .
   • Select "Webhook URL" and paste the webhook endpoint (you’ll create this next).

Step 2: Creating a Webhook Receiver

To receive TradingView alerts, you'll need a small server or middleware. Python's Flask is a great choice.

Install Flask:

Run:

pip install flask

Create the Webhook Server:

Save this code in

webhook_receiver.py

from flask import Flask, request, jsonify
from ib_insync import *

app = Flask(__name__)

# IBKR connection setup
ib = IB()
ib.connect('127.0.0.1', 7497, clientId=1)

# Function to place an order
def place_order(ticker, signal):
 action = "BUY" if signal.lower() == "buy" else "SELL"
 quantity = 10 # Define your lot size
 contract = Stock(ticker, "SMART", "USD")
 order = MarketOrder(action, quantity)
 trade = ib.placeOrder(contract, order)
 return f"Order placed: {trade}"

# Webhook route
@app.route('/webhook', methods=['POST'])
def webhook():
 try:
 data = request.json
 ticker = data.get("ticker")
 signal = data.get("signal")
 response = place_order(ticker, signal)
 return jsonify({"status": "success", "message": response}), 200
 except Exception as e:
 return jsonify({"status": "error", "message": str(e)}), 500

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

Run the Server:

Start the Flask server:

python webhook_receiver.py

Step 3: Setting Up Interactive Brokers (IBKR) TWS

1. Install TWS API:

   • Download IBKR's Trader Workstation (TWS) or IB Gateway.
   • Enable API access:
     • Go to

       TWS > File > Global Configuration > API > Settings

       .
     • Check Enable ActiveX and Socket Clients.
     • Set trusted IPs (e.g.,

       127.0.0.1

       ).

2. Run TWS/IB Gateway:

   • Start the software before running your script.

Step 4: Test the Integration

1. Send a Test Alert from TradingView:

   • Configure the alert with your webhook URL (e.g.,

     http://<your-server-ip>:5000/webhook

     ).
   • Trigger a signal to send a test alert.

2. Monitor Logs:

   • Check the Flask server logs for incoming alerts.
   • Ensure orders are placed through IBKR.

Optional Enhancements

1. Dynamic Lot Size: Allow TradingView alerts to include lot size in the JSON payload. Modify the webhook handler to parse

   quantity

   .

2. Error Handling:

   • Log errors for failed trades.
   • Validate payload data before processing.

3. Deploy the Server: Use a cloud platform like AWS, Google Cloud, or a VPS to host the webhook server if you need remote access.

Here’s how we can proceed step-by-step to test, customize, and deploy the setup effectively:

Step 1: Local Testing

1. Verify Your IBKR Setup

• Ensure that TWS or IB Gateway is running and API access is enabled:

  • TWS > Global Configuration > API > Settings > Enable ActiveX and Socket Clients

    .
  • Note the API Port (default is

    7497

    for TWS or

    4002

    for IB Gateway).
• Log into TWS with your paper trading account to avoid real money risks.

2. Test the Flask Webhook Locally

• Run the Flask server:

  python webhook_receiver.py
  

  This will start the server on

  http://127.0.0.1:5000

  .

• Send a Test Request: Use a tool like

  Postman

  or

  curl

  to send a POST request to the Flask server:

  curl -X POST http://127.0.0.1:5000/webhook 
  -H "Content-Type: application/json" 
  -d '{"ticker":"AAPL", "signal":"buy"}'
  

  • Check the server logs to confirm the request was received and processed.
  • Confirm that the order was placed in your IBKR TWS interface.

Step 2: Customization

1. Dynamic Lot Size

• Update the TradingView Pine Script to include a lot size in alerts:

  alertcondition(longCondition, title="Buy Signal", message='{"ticker":"{{ticker}}","signal":"buy","quantity":10}')
  

• Update the webhook handler to process the

  quantity

  field:

  def place_order(ticker, signal, quantity):
   action = "BUY" if signal.lower() == "buy" else "SELL"
   contract = Stock(ticker, "SMART", "USD")
   order = MarketOrder(action, quantity)
   trade = ib.placeOrder(contract, order)
   return f"Order placed: {trade}"
  
  @app.route('/webhook', methods=['POST'])
  def webhook():
   try:
   data = request.json
   ticker = data.get("ticker")
   signal = data.get("signal")
   quantity = int(data.get("quantity", 10)) # Default lot size if not provided
   response = place_order(ticker, signal, quantity)
   return jsonify({"status": "success", "message": response}), 200
   except Exception as e:
   return jsonify({"status": "error", "message": str(e)}), 500
  

2. Add Logging for Debugging

• Include logging for successful and failed orders:

  import logging
  logging.basicConfig(filename="webhook.log", level=logging.INFO)
  
  @app.route('/webhook', methods=['POST'])
  def webhook():
   try:
   data = request.json
   ticker = data.get("ticker")
   signal = data.get("signal")
   quantity = int(data.get("quantity", 10))
   response = place_order(ticker, signal, quantity)
   logging.info(f"Order Success: {data}")
   return jsonify({"status": "success", "message": response}), 200
   except Exception as e:
   logging.error(f"Order Failed: {data}, Error: {e}")
   return jsonify({"status": "error", "message": str(e)}), 500
  

Step 3: Deploy the Webhook Server

1. Choose a Cloud Platform

• Use services like AWS, Google Cloud, or Heroku for deployment. Here, we’ll use Heroku as an example.

2. Prepare Your Code for Deployment

• Create a

  requirements.txt

  file to list dependencies:

  flask
  ib_insync
  

• Create a

  Procfile

  to define how Heroku runs the app:

  web: python webhook_receiver.py
  

3. Deploy to Heroku

• Install Heroku CLI: Download and install the Heroku CLI.

• Deploy Your App:

  heroku login
  heroku create
  git init
  git add .
  git commit -m "Initial commit"
  git push heroku master
  

• Set Environment Variables: Use the Heroku dashboard to set IBKR credentials and API settings securely.

4. Update TradingView Alerts

• Use the Heroku app URL as your webhook URL, e.g.,

  https://your-app-name.herokuapp.com/webhook

  .

Step 4: Monitor and Debug

1. Verify Alerts

• Test the setup by manually triggering TradingView alerts.
• Ensure orders are placed correctly in IBKR TWS.

2. Monitor Logs

• Check Flask logs locally or through the cloud provider:

  heroku logs --tail