Global Stock Market Real-Time Quotes API: The Ultimate Data Engine for Quantitative Trading

In today's borderless financial markets, mastering global stock real-time quotes means gaining an unparalleled investment advantage! We introduce the industry-leading global stock real-time quotes API, providing a one-stop data solution for quantitative trading teams, fintech companies, and individual investors. Our API delivers real-time global stock market data, including stock prices, price changes, and trading volumes, offering accurate and up-to-date data for smarter decision-making and investments.

1. Why Global Investors Choose Our API

Coverage of Major Global Exchanges

1. American Markets: NYSE, NASDAQ, etc. (Real-time data for US stocks like Apple, Tesla)
2. Asian Markets: TWSE, TSE, HKEX, etc. (Market data for Asian stocks like TSMC, Toyota)
3. European Markets: LSE, FSE, XETRA, etc. (Quotes for European stocks like Siemens, LVMH)
4. Southeast Asian Markets: India, Singapore, Thailand, and other unique exchanges

Ultra-Low Latency Real-Time Data

1. Professional-grade data stream with latency <100ms
2. Updates every second to capture every market fluctuation
3. Real-time global data covering major exchanges worldwide
4. Supports WebSocket protocol for true real-time push

The Perfect Toolkit for Quantitative Traders

1. Cleaned and standardized data ready for backtesting
2. Pre-calculated technical indicators (MACD, RSI, Bollinger Bands, etc.)
3. Supports multiple time granularities (Tick-level, 1-minute, 5-minute, etc.)

Free Plan Now Available

1. High-frequency API calls
2. Real-time data push for the latest updates
3. Coverage of major global exchanges
4. Simultaneous queries for multiple stocks
5. Complete historical daily data

Five Core Application Scenarios

1. Cross-border arbitrage systems: Capture global market price differences
2. Multi-factor quantitative models: Build global alpha strategies
3. Robo-advisory platforms: Provide global asset allocation advice
4. Risk management systems: Monitor cross-border investment portfolios in real-time
5. Financial data portals: Create professional market data websites

Data Security and Reliability

1. Global data sources: Reliable data from major exchanges worldwide
2. Efficient transmission: High update frequency and real-time data
3. Stable data transmission: Intelligent circuit breaker mechanism ensures stability, distributed data center architecture
4. Data quality: Strictly audited for high-quality data

2. How to Get Started Quickly

1. Register an Account: Complete in 30 seconds, no credit card required, supports third-party account login.
2. Get API Key: Generate it with one click in the console.
3. Read Documentation: Access rich code examples and tutorials.

3. Special Offers for Quantitative Teams

• Free Plan: Free trial for new users
• 20% Discount: New users upgrading to a paid plan get a 20% discount
• Dedicated Data Engineer Support: One-on-one support from a data engineer
• Customized Data Push Services: Tailored data push services available

WebSocket Real-Time Quotes Subscription Example

pip install websocket-client

      """
**iTick**: A data agency providing reliable data source APIs for fintech companies and developers, covering Forex APIs, Stock APIs, Cryptocurrency APIs, Index APIs, etc., helping build innovative trading and analysis tools. Free plans are available, sufficient for individual quantitative developers.
Open-source stock data API repository:
https://github.com/itick-org
Apply for a free API key:
https://itick.org
"""

import websocket
import json

# WebSocket server address
websocket_url = "wss://api.itick.org/sws"

# Authentication message
auth_message = {
    "ac": "auth",
    "params": "YOUR_KEY"
}

# Subscription message format, assuming subscription to a channel named "your_channel"
subscribe_message = {
    "ac": "subscribe",
    "params": "700$HK,AAPL$US,TSLA$US",
    "types": "depth,quote"
}

def on_open(ws):
        """
        Function called when WebSocket connection opens
        """
        print("WebSocket connection opened, sending authentication message...")

        # Send authentication message
        ws.send(json.dumps(auth_message))

        # Convert subscription message to JSON format and send
        ws.send(json.dumps(subscribe_message))

def on_message(ws, message):
        """
        Function called when a WebSocket message is received
        """
        print(f"Message received: {message}")
        # Further processing of the received message, such as parsing JSON data
        data = json.loads(message)
        if "data" in data:
                print(f"Data content: {data['data']}")

def on_error(ws, error):
        """
        Function called when a WebSocket error occurs
        """
        print(f"WebSocket error: {error}")

def on_close(ws, close_status_code, close_msg):
        """
        Function called when WebSocket connection closes
        """
        print(f"WebSocket connection closed, status code: {close_status_code}, message: {close_msg}")

if __name__ == "__main__":
        # Create WebSocket object and set callback functions
        ws = websocket.WebSocketApp(websocket_url,
                                                                on_open=on_open,
                                                                on_message=on_message,
                                                                on_error=on_error,
                                                                on_close=on_close)

        # Start WebSocket connection and begin listening for messages
        ws.run_forever()