Real-Time Algorithmic Trading Signal Generation Framework

Create a modular signal generation architecture for quantitative trading that combines technical indicators, sentiment analysis, and machine learning predictive models. Develop a scalable system capable of processing multiple data streams (market data, social media, economic indicators) with sub-millisecond latency. Include robust error handling, performance logging, and adaptive machine learning model retraining mechanisms.