Σternal Portfolio Allocation Benchmark
Can structured regime context improve investment decisions? This daily backtest puts the question to the test - running every LLM through Decode + Brief (daily windows) and tracking real portfolio outcomes across the full year.
Building on Context
Institutional investors face a persistent challenge: synthesizing vast amounts of market information into coherent, actionable context. Traditional approaches rely on manual research, periodic reports, and fragmented data sources.
Σternal provides a structured layer that integrates into existing workflows—whether through direct API access, agent-assisted analysis, or the Portfolio Laboratory.
Featured Implementations
Automated Regime Monitoring Pipeline
$2.4B AUM • London
Challenge
The PM team spent 2-3 hours daily synthesizing central bank communications, macro data, and market signals into a coherent view.
Solution
Integrated Σternal API into their morning workflow. A scheduled job decodes key assets at 6:30 AM and delivers a structured regime report to Slack.
"The regime similarity scores have become our primary language for discussing market state."
— Head of Macro Research
AI-Augmented Daily Brief Generation
$850M AUM • New York
Challenge
Managing multiple strategies required context-switching between different market lenses. Junior analysts struggled to connect macro dots.
Solution
Built a Claude-powered research assistant with Σternal MCP integration. The agent generates strategy-specific briefs referencing unified regime context.
"Our equity and credit teams now speak the same macro language."
— Chief Investment Officer
Regime-Aware Rebalancing with Claude Code
$180M AUM • Singapore
Challenge
A lean team (2 people) managing a diversified portfolio struggled to maintain systematic rebalancing discipline.
Solution
Deployed the Portfolio Laboratory for backtesting, then built a Claude Code agent that proposes regime-triggered rebalancing actions.
"The agent drafts the rebalancing rationale, I review and approve. Like having a junior analyst who never forgets macro context."
— Principal
Embedding Decode in Research Workflow
Large Asset Manager • Boston
Challenge
Quantitative signals performed differently across market regimes, but the team lacked a consistent framework for conditioning models.
Solution
Integrated Σternal decodes as features in their research pipeline. Each backtest now includes regime classification for conditional analysis.
"We discovered our momentum signal has 40% higher Sharpe in Liquidity Expansion regimes. That is now a core allocation input."
— Quantitative Researcher
Ready to build your integration?
Contact us to discuss how Σternal can fit into your investment workflow.