I help you read today’s U.S. market with a macro-first framework.
I start with public facts, policy logic, and market structure so you can see what matters before the headlines take over.
A macro strategist focused on policy, cycles, and cross-asset moves.
Ryan Mitchell is a New York-based macro strategist. I start with the policy backdrop, then I map how the market reacts. That means rates, inflation, liquidity, the dollar, and the sectors that usually move first when leadership changes. Earlier in my career, I worked as a macro research strategy analyst at a New York middle-market investment bank before moving into independent work.
Ryan Mitchell
I focus on policy, cycles, and cross-asset moves. The goal is to start with public facts, then map how markets react across rates, inflation, liquidity, the dollar, megacaps, and commodities.
My background includes nearly 30 years in global capital markets research and asset allocation, starting with early work in a New York middle-market investment bank macro research team.
How I read the cycle when the market mattered most.
These are the kinds of public market calls I use to show how the framework works: policy, liquidity, inflation, and the assets that usually move first.
The signals I want you to see first.
Start with the signals that usually matter first: rates, the dollar, megacaps, and the sectors showing where capital is rotating. The names below are a quick study list, not a prediction.
How I read the market
Public facts come first. Then the market themes, the quality check, and the risk checklist. The goal is to organize the read before acting on it.
- Public facts first.
- Market theme second.
- Risk checklist third.
Why the preview matters
I use the preview to help you decide whether the deeper materials are worth opening on WhatsApp.
- See the framework before the full materials.
- Check the names I track next.
- If the preview helps, WhatsApp is the next step.
A few calls that shaped how I read the cycle.
As the pandemic shock hit, my read was that policy liquidity would matter more than fear for a while. The point was not certainty, but that an aggressive Fed response could change the path for large-cap growth.
I thought inflation looked more persistent than the market was pricing. That meant a more difficult setup for richly valued growth names and a better backdrop for assets tied to pricing power and cash flow.
When sentiment was at its weakest, I was looking for signs that inflation had peaked and that the next move could be a rebound in 2023. In that kind of setup, AI and semiconductors were the first areas I wanted to study.
Once the rate-cut cycle started, my view was that lower policy pressure could support the largest quality technology names first, while smaller names without earnings support might lag.
Today, I still view AI as a real industrial shift, but the market feels more selective. The strongest names may keep leading if earnings keep confirming expectations, while pure concept stories may need to prove more.
I start with the policy backdrop, then the market response, and finally the risk checklist. That keeps the read disciplined before any decision is made.
If the preview helps, keep learning and improving together on WhatsApp.
Open WhatsApp to keep going with the same framework, the quality check, and the names I watch next.