Insights, updates, and technical deep-dives from our engineering team
How we engineered our system to deliver market data with sub-millisecond latency using custom networking protocols, in-memory databases, and strategic geographic distribution. A deep dive into the architecture that powers real-time trading applications.
Read Full Article →Learn how to efficiently consume real-time market data using WebSockets. We cover connection management, error handling, and optimal subscription strategies.
Read More →We've completely rebuilt our technical indicators engine with 50+ new indicators, improved accuracy, and 10x faster computation times.
Read More →We're excited to announce real-time data coverage for London Stock Exchange and Euronext, bringing our total to 60+ supported exchanges worldwide.
Read More →Step-by-step guide to creating an algorithmic trading bot using our SSFAX Python SDK. Includes backtesting, risk management, and deployment strategies.
Read More →Understanding the importance of data quality in financial applications and how we ensure 99.99% accuracy through multiple validation layers and real-time monitoring.
Read More →Best practices for integrating real-time market data into mobile applications. Covers battery optimization, offline caching, and responsive UI design.
Read More →How we implement enterprise-grade security measures including end-to-end encryption, zero-trust architecture, and SOC 2 Type II compliance.
Read More →Exploring sophisticated analytical techniques including machine learning models, sentiment analysis, and alternative data sources for market prediction.
Read More →Learn how intelligent caching and global CDN distribution can dramatically improve API response times and reduce infrastructure costs.
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