Data acquisition
Economic and market information
Our systems collect market data, economic releases, issuer disclosures and reporting on market events. Sources and publication context are retained.
AEGIS
AEGIS brings together Hawk Thorne’s proprietary data infrastructure, narrative analysis and quantitative risk measurement.
By connecting information about the economy, issuers and market expectations with financial instruments, the platform places portfolio analysis in its wider market context.
Platform & data
AEGIS is underpinned by an analytical process developed by Hawk Thorne, from the acquisition of source information through preparation and interpretation to its relevance for portfolio exposures.
Data acquisition
Our systems collect market data, economic releases, issuer disclosures and reporting on market events. Sources and publication context are retained.
Data preparation
Data is cleaned, normalised and checked for duplication and gaps. Classification and comparison across sources prepare the information for analysis.
Market relationships
Information is linked to issuers and financial instruments, as well as sectors, currencies and regions. Economic developments can then be examined in an investment context.
Interpretation and measurement
Narrative analysis examines changes in market expectations. Quantitative models measure exposures and portfolio behaviour under defined scenarios. Both perspectives inform the assessment of risk.
Narrative analysis
A market narrative is a shared interpretation of what matters for future prices and economic outcomes.
Hawk Thorne’s narrative analysis identifies these interpretations, tracks how they change and examines the evidence on which they rest. It forms part of the research foundation behind AEGIS.
Which assumptions about growth, inflation, monetary policy or company earnings dominate the interpretation of events?
Do economic evidence, market positioning and price behaviour support that interpretation? Where do they diverge?
Which sectors, currencies and risk factors are associated with those assumptions? What new evidence would warrant a reassessment?
Portfolio risk
AEGIS relates the analysis to portfolio composition. Quantitative models describe exposures, relationships and scenarios; market information provides context for their interpretation.
Portfolio composition by instrument, sector and currency. Sensitivity to common factors and the contribution of individual positions to portfolio risk.
Stress scenarios and a comparison of the current portfolio with a user-defined allocation. Results are assessed against the model’s stated assumptions.
Issuer developments, earnings releases, central bank decisions and economic data linked to portfolio positions or exposure dimensions.
Monitoring of user-defined rules, a dated record of breaches and a risk report. A consistent basis for regular portfolio review and a record of the analysis.
The report retains the data date, model version, portfolio coverage and limitations. Results can be assessed against what the model actually covers.
Sample AEGIS report
This example connects a market narrative with AEGIS calculations for a hypothetical portfolio: 12 instruments, 80% in listed positions and 20% cash. Base currency: PLN.
Model data: . A historical snapshot demonstrating the report format; it is not a current market assessment.
Narrative analysis
Observations from 13–14 August 2026. Research interpretation prepared for this example.
The analysed material described reduced expectations for further Fed rate increases. That weakens one argument for a stronger dollar: the prospect of higher US interest rates.
For a portfolio measured in PLN, dollar movements affect the value of US holdings even if their prices in USD stay unchanged. The outcome also depends on the zloty and the companies’ own performance.
28% of the portfolio in the covered USD holdings discussed here
A reading concerning USD/JPY does not determine USD/PLN. The weights describe portfolio composition, not the narrative’s risk contribution.
SPY.US (12% of the portfolio) is not covered by this model snapshot. Its risk is excluded from the results below. Missing coverage does not mean zero risk.
| Instrument | Weight | Coverage |
|---|---|---|
| SPY.US | 12% | Missing |
| AAPL.US | 9% | Yes |
| MSFT.US | 8% | Yes |
| NVDA.US | 6% | Yes |
| XOM.US | 5% | Yes |
| PKN.WAR | 8% | Yes |
| PKO.WAR | 7% | Yes |
| PZU.WAR | 6% | Yes |
| KGH.WAR | 5% | Yes |
| CDR.WAR | 5% | Yes |
| DNP.WAR | 5% | Yes |
| ALE.WAR | 4% | Yes |
| Cash | 20% | — |
VaR estimates a loss threshold at the stated horizon and confidence level. Losses can exceed it. These measures express risk from covered positions relative to the whole portfolio.
Scenarios apply assumed changes to risk factors. Results assign no probability to those changes and are not return forecasts.
Hawk Thorne technology

Hawk Thorne develops research methods, acquires data and builds technology to analyse markets and invest its own capital.
AEGIS makes selected capabilities of that infrastructure available as software for private investors and investment teams. Its focus is market analysis and portfolio risk.
Hawk Thorne’s technologyAccess to AEGIS
AEGIS is developed as software for licensed use. A presentation covers the analytical foundation, data coverage and the platform’s role in a risk review process.
Discuss AEGIS