MaaS: How to Store and Analyze Real-Time Stock Trading Data Using Next.js and InfluxDB

The article discusses the integration of Next.js and InfluxDB for storing and analyzing real-time stock trading data. It highlights the advantages of using InfluxDB, a time series database, for handling large volumes of historical data with efficient compression algorithms and flexible retention policies. The application architecture consists of a frontend built with Next.js, an API layer handling data fetching and writing operations, Alpha Vantage API as the data source, and InfluxDB 3.0 Cloud Serverless bucket as the database for time series stock data. Key technologies and functions used include Next.js, InfluxDB v3 JavaScript Client, Alpha Vantage API, and handling of time series data with logic to filter and adjust timestamps. The application demonstrates real-time analytics capabilities by periodically querying InfluxDB for the latest data.

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