Design a large-scale machine learning system to provide real-time, high-frequency price movement signals for a global trading platform. The system should handle millions of active users, ingest diverse data sources like market ticks and news sentiment, and maintain extreme low latency while addressing the unique challenges of financial time-series data such as non-stationarity and backtesting integrity.