Explore Our Datasets
STRUCTURED INTELLIGENCE FOR INSTITUTIONAL ADVANTAGE
Transform your trading strategies and investment decisions with Permutable AI’s comprehensive structured datasets, meticulously curated for sophisticated financial analysis. Our intelligent data streams deliver actionable insights across critical market drivers – from macroeconomic shifts and geopolitical tensions to energy transitions and extreme weather events.
Permutable AI turns unstructured global events into structured, actionable intelligence.
Our clients get instant value from our real-time intelligence. Identify alpha opportunities, optimise trading algorithms, assess commodity exposures, and navigate complex market dynamics with confidence.
Whether you’re executing algorithmic strategies, hedging energy positions, or informing corporate strategy, our datasets provide the granular, timely intelligence your decision-making process demands.
Thematic Data Streams
Frequently Asked Questions (FAQ)
1. What kind of data do your datasets contain?
Our datasets are designed for financial analysis and institutional investment decisions, covering a range of critical themes including:
- Economic and Monetary Policy Analysis
- Geopolitical Event Tracking
- Weather Impact Monitoring
- Energy Market Analysis
- (Our upcoming datasets will include Agricultural Commodities and Currencies)
2. How granular is the data within your datasets?
We offer a high level of granularity, with data frequently available at a minute-by-minute resolution and timestamps recorded in UTC. We also provide detailed information at the source level where applicable, and include reference links to the original data sources for transparency and further research.
3. How are these datasets created?
Permutable employs a range of advanced methods to generate its structured datasets. These methods are carefully selected and tailored to each specific data stream to extract meaningful insights and create actionable intelligence for financial analysis and investment strategies.
4. Given the use of LLMs, is there a potential for historical bias in the data?
It's true that Large Language Models (LLMs) inherently possess historical knowledge from their training data, which could technically introduce bias. However, at Permutable, we actively mitigate this risk by employing specific techniques and carefully designing model tasks to minimize the influence of pre-existing knowledge on our processing and reasoning. We also conduct rigorous testing and select from a diverse set of models to ensure the most unbiased and accurate results.
5. How do you ensure the datasets remain current and adapt to the rapidly evolving landscape of AI models?
We are committed to providing the most up-to-date and reliable data. To achieve this, Permutable frequently updates and rigorously version controls its datasets as new and improved AI models become available. Furthermore, we offer the capability to run live inference via API for any specific version of our datasets, providing users with flexibility and ensuring reproducibility over time.
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