#AI Investment #QuantumStreet AI #Long-Short Equity

QuantumStreet AI Introduces Long-Short Global Equity Strategy

In a notable development in the financial technology sector, QuantumStreet AI, known for its advanced AI-driven investment solutions, has officially launched its Long-Short Global Equity strategy. This launch marks a significant milestone for the company, which is an IBM partner and manages an impressive $7.5 billion in client assets. The new strategy aims to provide institutional investors with better global equity exposure while simultaneously improving risk-return profiles, particularly in these uncertain times characterized by geopolitical strife and elevated market valuations.

Responding to Current Market Conditions

In recent months, the global markets have been fraught with challenges, including trade disruptions and geopolitical risks that have put pressure on traditional investment portfolios. Art Amador, the President of QuantumStreet AI, emphasizes that the current market environment, which sees equity markets grappling with these shocks simultaneously, underscores the need for flexible strategies that allow investors to go both long and short. This systematic approach is crafted to help allocators sustain equity market exposure while effectively hedging against potential drawdowns.

The Long-Short strategy employs an innovative 130/30 framework, where the gross market value comprises 130% long positions against 30% short positions, benchmarking its performance against the MSCI World Index. The foundation of this strategy lies in QuantumStreet's proprietary machine learning technology, which seamlessly merges structured financial data—including macroeconomic indicators, fundamental analyses, and technical signals—with unstructured data from various sources like global news narratives, earnings call transcripts, and regulatory filings.

Proven Track Record of Performance

Backtesting results from February 2012 through November 2025 reveal that the Long-Short strategy has delivered exceptional annualized returns of 22.91%, significantly outperforming the MSCI World Index's returns of 11.50%. The strategy also boasts a Sharpe ratio of 1.41 compared to the benchmark's 0.82, indicating that it not only produced better returns but did so with less risk. Over 5- and 10-year periods, the performance of this strategy has more than doubled that of the index, all while adding only modest volatility, which is a testament to its robustness.

Chris Natividad, the Chief Investment Officer at QuantumStreet, elaborates on how the AI technology assesses various macroeconomic conditions, fundamentals, technical indicators, news sentiment, and regulatory data across a plethora of securities simultaneously. This capability enables the identification of cross-regime patterns and sector dislocations, which is crucial in today's complex investment landscape. Without a comprehensive range of models, the sheer volume of unstructured data can lead to excessive