Real-Time Stock Monitoring with Arduino: Leveraging Wiznet W5500 for Financial Analytics
A simple way to get the real-time price of US stocks and set alert to help you take better action.
Connect the modules as picture shown:
Project Overview and Key Features
- Real-time Data Fetching: Utilizes the Wiznet W5500 Ethernet shield to access live stock prices from the internet, demonstrating the shield's capability for real-time data communication.
- Network Efficiency: The W5500's SPI communication ensures fast and reliable data transfer between the internet and the microcontroller, highlighting its efficiency in handling network traffic.
- Financial Monitoring Application: Showcases an innovative use case of IoT in the financial sector, enabling users to monitor stock market changes directly through their IoT device.
- Visual Feedback System: Incorporates an LED feedback mechanism that changes color based on stock price movements, offering an intuitive visual representation of financial data.
The crucial parts of the code involve the functions for making HTTP requests to fetch stock data, parsing the received data to extract stock prices and other relevant information, and the logic for controlling the LED based on stock price movements. Specifically:
- HTTP Request Setup: The section where the EthernetClient is configured to connect to hq.sinajs.cn and send a GET request for stock information.
- Data Parsing: The function makeNum and makeStr are key for parsing the fetched data to extract meaningful information like stock prices and time.
- LED Control Logic: The conditional statements that change the LED's color and behavior based on the stock's performance, providing visual feedback.
Importance of the Wiznet W5500 Ethernet Shield
The selection of the Wiznet W5500 Ethernet shield is strategic, leveraging its high-performance network processing capabilities. It is designed to handle multiple socket connections, offering stability and speed critical for real-time data fetching and processing. Its efficiency in managing network traffic and minimal reliance on the host microcontroller makes it ideal for applications where timely and accurate data retrieval is essential, such as financial monitoring systems.