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San Si wu
San Si wu

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Practical Guide to Integrating Mexico Stock API: Real-Time Quotes and IPO Calendar

#webdev #python #tutorial

With global capital continuing to flow in and the strong rise of the BMV IPC index, the Mexican Stock Exchange (Bolsa Mexicana de Valores, BMV) has become a key focus for international investors. For developers, how can you quickly and reliably access real-time data from the Mexican stock market?

Mexico Stock API
This article shares how to use the iTick API to achieve comprehensive integration with Mexican stocks (region=mx), with a focus on real-time stock data and the IPO new stock calendar functionality.

I. Preparation for Integration

Before starting to call the interfaces, ensure you have the following basic information:

API Base Path: https://api.itick.org/

Country ID (region): mx (Exclusive ID for the Mexican market)

Authentication Method: Include the token parameter in the request headers

Data Format: Standard JSON

II. Interface Calls

1. Retrieve Mexican Stock Market List

GET /symbol/list?type={type}&region={region}

Python Request Example:

import requests

url = "https://api.itick.org/symbol/list?type=stock&region=MX"

headers = {
    "accept": "application/json",
    "token": "Your token"
}

response = requests.get(url, headers=headers)

print(response.text)
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2. Real-Time Quotes: Millisecond-Level Synchronization with the Mexican Stock Exchange

iTick provides rich quote interfaces that can deliver real-time fluctuations for individual Mexican stocks and the broader market.

Retrieve Millisecond-Level Quote Data for Mexico

GET /stock/tick?region={region}&code={code}

import requests

url = "https://api.itick.org/stock/tick?region=MX&code=AMXL"

headers = {
    "accept": "application/json",
    "token": "Your token"
}

response = requests.get(url, headers=headers)

print(response.text)
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Key Response Fields:

  • s: Product code
  • ld: Latest price
  • t: Timestamp
  • v: Trading volume

3. IPO New Stock Calendar: Retrieve Mexican Stock Listing Calendar

GET /stock/ipo?type={type}&region={region}

Type Parameters:

  • upcoming - Upcoming listings
  • recent - Recent listings

Python Example:

import requests

url = "https://api.itick.org/stock/ipo?type=upcoming&region=MX"

headers = {
    "accept": "application/json",
    "token": "your_token"
}

response = requests.get(url, headers=headers)

print(response.text)
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Key Response Fields:

  • dt: Listing date, timestamp accurate to milliseconds
  • cn: Stock company name
  • sc: Stock code
  • ex: Exchange name
  • mc: Market capitalization
  • pr: Price
  • ct: Country code

4. K-Line Historical Data: Professional Chart Support

GET /stock/kline?region={region}&code={code}&kType={kType}&limit={limit}

kType Parameters:

  • 1 - 1 minute
  • 2 - 5 minutes
  • 3 - 15 minutes
  • 4 - 30 minutes
  • 5 - 60 minutes
  • 8 - Daily
  • 9 - Weekly
  • 10 - Monthly

Python Example:

import requests

url = "https://api.itick.org/stock/kline?region=MX&code=700&kType=2&limit=10"

headers = {
    "accept": "application/json",
    "token": "your_token"
}

response = requests.get(url, headers=headers)

print(response.text)
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Java Example:

OkHttpClient client = new OkHttpClient();

Request request = new Request.Builder()
    .url("https://api.itick.org/stock/kline?region=HK&code=AMXL&kType=2&limit=10")
    .get()
    .addHeader("accept", "application/json")
    .addHeader("token", "your_token")
    .build();

Response response = client.newCall(request).execute();
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Key Response Fields:

  • t: Timestamp
  • o: Open price
  • h: High price
  • l: Low price
  • c: Close price
  • v: Trading volume
  • tu: Turnover amount

III. Error Handling and Monitoring

Common Error Types

  • Authentication Errors: Check if the token is valid
  • Rate Limiting Errors: Implement retry mechanisms and frequency controls
  • Network Errors: Add timeout and reconnection mechanisms
  • Data Format Errors: Validate the API response format

Monitoring Metrics

  • API call success rate
  • Response time distribution
  • Data integrity checks
  • Exception alerting mechanisms

IV. Best Practice Recommendations

Data Validation: Validate the format and integrity of data returned by the API
Connection Pool Management: Use connection pools to improve request efficiency
Asynchronous Processing: Use asynchronous methods for large data requests
Logging: Record API call logs for easier troubleshooting
Data Backup: Back up important data locally to avoid repeated requests

V. Conclusion

This article, based on the Python programming language, describes how to use the iTick API to integrate with the Mexican stock market. The official iTick API provides rich data interfaces for quick and stable access to Mexican stock market data. Through this guide, developers can quickly understand the Mexican stock market data interfaces and start using iTick to build their own applications.

Friendly Reminder: This article is for reference only and does not constitute any investment advice. The market involves risks, and investments should be made with caution.

Reference Documentation: https://docs.itick.org/rest-api/stocks/stock-ipo

GitHub: https://github.com/itick-org/

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