Systematic Traders

Systematic Trading Solutions - Alternative Data for Hedge Funds

UNLOCK MORE ALPHA FROM YOUR SYSTEMATIC STRATEGIES WITH
OUR ALTERATIVE DATA

Traditional signals are crowded, delayed, and often already priced in. Permutable’s systematic trading signals reveal the opportunities others miss – capturing psychology, events, and thematic drivers across asset classes. 

Powered by proprietary LLM-driven models, we analyse 120,000+ global sources daily, covering 34+ assets across commodities and currencies and live-tested since October 2024 with our Trading Co-Pilot technology. 

Our ready-to-integrate datasets deliver a decisive edge for backtesting, research, and live trading.

Systematic funds and quantitative hedge funds are increasingly turning to our alternative data to strengthen models and generate alpha. Our datasets are designed for quant integration. With real-time sentiment, event detection, and cross-asset intelligence, we provide the signals quant teams need to capture opportunities and manage risk with precision.

Quantitative Hedge Fund Enhancement

Enhance your systematic trading strategies with institutional-grade alternative data that captures intraday sentiment scoring tied to real price impacts, event drivers, and thematic signals that traditional models can’t detect.

Multi-Asset
Strategy Intelligence

Deploy multi-asset systematic strategies across 34+ assets – spanning commodities, currencies, treasuries, and select equities — with cross-market intelligence to strengthen low-correlation portfolio resilience.

Alternative Risk-On/Risk-Off Strategies

Unlock hedge fund-grade alpha with systematic risk-on / risk-off datasets, live-validated sentiment scoring, and plug-and-play API integration for seamless deployment by institutional investors.

We're already seeing value since integrating Permutable’s datasets.

Systematic Hedge Fund

Systematic Trading and Alternative Data FAQ

Our signals are designed to complement, not replace, existing models. By incorporating sentiment layers, event detection, and thematic drivers extracted from 120,000+ sources, you can uncover non-traditional alpha that’s typically missed by commoditised factor models.

Our LLM-driven analysis focuses on causation as well as correlation, providing high-frequency, cross-asset intelligence. This allows you to access differentiated data points before they’re priced into the market, rather than relying on lagging consensus.

We currently cover 34+ global commodities, currencies, treasuries, and selected equities. Additional asset classes are continually being added based on client demand.

Yes. Our enterprise-grade API is built for systematic workflows, making it easy to integrate structured sentiment and event data directly into quant research environments and trading engines.

Yes. All signals have been live-tested in-market since October 2024 using our Trading Co-Pilot technology. This means you’re not experimenting with unproven models, but deploying signals validated in live conditions.

We use multiple layers of quality control, including confidence scoring, noise filtering, and continuous validation against market moves. Our models are monitored for drift and recalibrated to minimise overfitting and ensure robustness across market regimes.

Not at all. While systematic traders benefit most from API-driven integrations, discretionary teams also use our intelligence to inform risk-on/risk-off calls and enhance conviction in complex market environments.

Yes. We provide trial access to selected datasets or API endpoints so you can test integration and assess impact in your own research or trading environment.

Contact us at enquiries@permutable.ai to arrange access.

See how alternative data can be incorporated into your systematic strategies. Get in touch with our team today to request a demo and explore how Permutable’s datasets can deliver alpha, enhance portfolio resilience, and unlock systematic opportunities across global markets.