AI-Driven Investment Alpha: Media Sentiment Strategies in Metal & Commodities
Discover how Semantic Visions and AltHub turned over 300M+ news articles in 12 languages into actionable investment signals. Our latest white paper reveals how machine learning on global media sentiment consistently outperformed benchmarks – delivering +16.1% annualized alpha on 21 commodities and +57.9% on metals & mining equities. Learn how investors can capture scarcity-driven opportunities, manage downside risk, and gain a powerful edge with alternative data
Download the white paper to see the full methodology, data transformation process, and detailed portfolio results.
About this White Paper
5 Key Insights You’ll Discover
Proven Alpha in Commodities
Backtested models using Semantic Visions’ media sentiment data delivered +16.1% annualized alpha across 21 commodities – outperforming the Dow Jones Commodity Index while maintaining lower volatility.
High Conviction in Metals & Mining Stocks
By linking sentiment on commodity markets with equity performance, the strategy achieved +57.9% annualized alpha in metals and mining companies – nearly 20x the benchmark return.
Massive Global Media Coverage
The dataset captures 1.9M+ news articles per day across 12 languages and 270,000+ domains, ensuring no sentiment blind spots and a true global perspective.
Robust Risk-Adjusted Returns
The models achieved Sharpe ratios above 1.0, showing they didn’t just chase returns – they delivered strong performance while preserving capital during downturns.
Results Without Leverage
Unlike many high-yielding strategies, this outperformance was generated without using leverage, underscoring the strength and reliability of sentiment-driven signals.