SPS blogs

In the ever-evolving world of finance, banks face a daunting challenge: how to use data effectively while safeguarding customer privacy. With the General Data Protection Regulation (GDPR) setting stringent rules … Read More

In recent years, deep reinforcement learning (DRL) has emerged as a transformative force in finance, especially when it comes to developing multi-asset trading strategies. While traditional approaches often focus on … Read More

In the realm of financial trading, the importance of accurate chart pattern recognition cannot be overstated. Whether you are a seasoned trader or just stepping into the world of financial … Read More

In the realm of financial markets, the specter of rare but catastrophic events—often referred to as Black Swan events—looms large. These unpredictable phenomena can send shockwaves through portfolios, leading to … Read More

In the ever-evolving landscape of finance, the challenges surrounding data scarcity in emerging markets like Africa, Latin America, and various frontier regions are becoming increasingly apparent. These markets frequently lack … Read More

In the rapidly evolving domain of finance, traditional methods for analyzing trading signals are increasingly being challenged by innovative technologies. One such game-changer is self-supervised learning, a technique that’s reshaping … Read More

In an age where every microsecond can mean the difference between profit and loss, the world of ultra-high frequency trading (HFT) is shifting gears with the introduction of edge-based machine … Read More

In the fast-paced world of high-frequency trading (HFT), where time is literally money, every microsecond counts. Traditional centralized models for data processing and machine learning inference often struggle under the … Read More

In the realm of finance, where every millisecond can mean the difference between profit and loss, the demand for speed and precision in trading has never been greater. Ultra-high frequency … Read More

When it comes to the world of finance, the traditional methods of assessing creditworthiness have long relied on a mix of subjective judgment and often opaque algorithms. However, the introduction … Read More