QuantumStreet AI (QuantumStreet), a provider of AI-driven investment solutions, has launched a new Long-Short Global Equity strategy, designed to provide institutional investors with enhanced global equity exposure and improved risk-return characteristics.
This launch follows recent outperformance across a range of the firm’s long-only and long/short strategies which collectively account for $7.5bn in client assets.
The new strategy employs a 130/30 framework, maintaining 130% long and 30% short gross market exposure, benchmarked against the MSCI World Index. It leverages QuantumStreet’s proprietary AI platform, which integrates structured data—including macroeconomic, fundamental and technical signals—with unstructured sources such as news flow, earnings call transcripts and regulatory filings.
Backtests from February 2012 to November 2025 show the strategy delivered an annualised return of 22.91%, compared with 11.50% for the MSCI World Index. The strategy also produced a Sharpe ratio of 1.41, versus 0.82 for the benchmark, indicating higher risk-adjusted returns. Five- and ten-year horizons similarly showed more than double the benchmark’s performance with only moderate increases in volatility.
“Equity markets are absorbing geopolitical shocks, trade disruption and stretched valuations simultaneously, and that’s exactly the kind of environment where the ability to go both long and short matters most,” said Art Amador, President at QuantumStreet AI.
The strategy’s underlying machine learning system uses proprietary knowledge graphs to connect policy language, macro impacts, sector sensitivity, earnings data and global news flow, generating investment signals that adapt dynamically to shifting market regimes. All signals are fully explainable through the SHAP (SHapley Additive exPlanations) framework, which decomposes each forecast into the individual contributions of its underlying drivers. This gives portfolio managers full transparency into why the model is recommending each position, providing the confidence to explain performance and strategy to underlying beneficial owners.
The strategy is available to asset allocators globally, including pensions, endowments, foundations, insurers and asset managers seeking an AI-enhanced alternative to traditional long-short equity approaches.
