About MacroRisk Sentinel

Why we built it

Macro data is widely available, but scattered across sources, overloaded with detail, and often presented without clear interpretive structure. Long-term investors need to track multiple dimensions of macro risk simultaneously—valuation stress, market volatility, labor-market deterioration, recession risk, and fiscal vulnerability—but these signals are rarely brought together in a disciplined, accessible way.

MacroRisk Sentinel was built to address that gap. The core indicators were chosen to cover different parts of the macro environment, while the additional indicators add broader structural context. The dashboard is designed to be read as a framework rather than as a collection of isolated data points.

Who it is for

MacroRisk Sentinel is primarily built for:

• investors
• analysts
• founders
• business owners
• decision-makers
• anyone who wants a more structured view of macro risk

The app is mainly focused on the U.S. market and U.S. macro indicators. At the same time, it can also be useful to people following broader global trends, since U.S. macro conditions often influence global risk sentiment, liquidity, and market direction.

What it does

MacroRisk Sentinel helps users monitor macro conditions over time and distinguish between different types of stress signals. Specifically, it is designed to:

• track changes across the six core macro indicators, with additional indicators providing broader valuation, fiscal, and real-economy context
• identify when multiple signals are moving together versus when conditions are more mixed
• provide historical context through the Crisis Similarity layer, which compares current conditions against known macro stress configurations from past episodes
• add a separate BTC & MSTR sleeve covering Bitcoin valuation and on-chain context, plus Strategy valuation and common-equity per-share structural trend
• build interpretive context for decision-making without generating trading signals or forecasts

Crisis Similarity is an interpretive layer, not the core of the product. It is a pattern-comparison tool built from the six core macro indicators only, helping users understand which historical stress regime the current environment most resembles—not a probability engine or forecast.

What it is not

MacroRisk Sentinel is not:

• a market timing engine
• a certainty machine or forecasting system
• a substitute for independent judgment or portfolio construction
• personalized investment advice

It is a monitoring and context framework. It provides structure and perspective, but investment decisions remain the responsibility of the user. The BTC & MSTR sleeve is also contextual in nature: it offers transparent valuation, cycle, and structural per-share context — non-predictive, non-personalized, not investment advice, and not a fair-value model.

Current status

MacroRisk Sentinel is a focused beta product. It already has a clear structure and purpose: six core indicators, additional context indicators, a separate BTC & MSTR sleeve covering valuation, cycle, and structural per-share context, and a Crisis Similarity layer for historical context.

The product is expected to evolve. Over time, we plan to refine the indicator set, improve the interpretive framework, and add additional context layers where they strengthen the core purpose—but the foundation is deliberate, not experimental.

Open to feedback

We welcome feedback from users who find this approach useful. If you see ways to improve the accuracy, relevance, or interpretive clarity of the dashboard, we are open to hearing from you.