Market Making with SingleStore: Simulating Billions of Stock Trades in Real Time

The financial markets have experienced extreme volatility in recent months, leading to a high demand for real-time data processing and analytics. Traditional SQL database technology has struggled to keep up with the speed of financial markets, but modern systems like SingleStore are catching up. A script called gen.py simulates a distribution of bid and ask quotes for fluctuating stock prices, while another script called regress.py performs linear regression on recent quotes to estimate a stock's trend. With SingleStore, users can ingest real-time data, run queries simultaneously, and access historical data through a single interface, simplifying the process of building trading applications that model historical data and detect real-time market changes. The system allows developers to focus on actual analytics rather than developing complex infrastructure, making it easier for non-experts to leverage its power.

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