u/thinq-81

I built Ontology to turn live macro, policy, and geopolitical events into actual market context.

When a catalyst hits, the problem usually is not finding the news. The problem is understanding what matters, which assets are exposed, how the shock is likely to transmit across markets, and what is worth doing about it.

For example, if there is an escalation around the Strait of Hormuz, Ontology lets you track the live context, connect the event to the exposed assets, trace transmission into crude, inflation expectations, rates, credit, FX, and volatility, compare the move with historical analogs, and turn that into a decision-ready view without jumping across a dozen tabs.

The goal is to go from headline to market channel to portfolio implications in one workflow.

https://marketontology.com

Turn live macro, policy, and geopolitical events into tradable market context.

When a geopolitical or policy catalyst hits, Ontology shows the live context, affected assets, cross-market transmission, and portfolio implications in one workflow. Ex:

Strait of Hormuz escalation

Track live military activity, aircraft, shipping chokepoints, and infrastructure disruptions with the exposed assets already attached.

See the headline, the market channel, first- and second-order exposed assets, and the hedges or structures worth watching.

Trace how a single catalyst propagates through crude, inflation expectations, rates, credit, FX, and volatility.

Place today's move in historical context, identify real dislocations, test portfolio exposure, run scenarios, and condense the view into a decision-ready summary. https://marketontology.com

I built Market Ontology because I kept running into the same problem:

the news tells you what happened,
the charts tell you what moved,
but neither gives you a clean way to see what should move next.

So I made a workspace for:

• macro regime monitoring
• geopolitical risk mapping
• cross-asset relationships
• options / positioning context into catalysts

It’s aimed at macro and event-driven traders.

The core use case is pretty simple:

headline → transmission path → affected assets → confirmation signals

Example:

• tariff / sanctions / conflict headline
• does that hit energy, shipping, inflation expectations, FX, or rates first?
• which assets should confirm the story?
• is the first move likely real repricing or just flow/noise?

A few things I’d genuinely love feedback on:

• is the use case clear enough?
• does “market mapping” resonate or sound too vague?
• which page or screenshot would make you understand it fastest?

Link: marketontology.com

Happy to answer anything bluntly, including what’s not working.

I created a macro / geopolitical / statistical dashboard that uses more data streams than the individual retail trader ever will to try and predict the price direction of certain assets. Curious if anyone uses something similar or has suggestions for this kind of strategy.

Something that keeps bothering me with a lot of commodity discussion is how fast it jumps from narrative to ticker.

EV demand goes up, grid spending rises, data center buildout accelerates, industrial policy gets more aggressive, and then the conversation immediately turns into what commodity or stock should go up. That always felt too shallow to me.

What I wanted instead was a way to trace the dependency chain first. Not just what the obvious commodity is, but which inputs actually matter, where refining or processing is concentrated, where the geographic choke points are, and where sanctions, tariffs, or export controls would actually hit the chain.

So I built a screen for that into my own workflow.

The most useful part has been separating first-order exposure from second-order exposure. A lot of themes sound clean at the top level, but once you trace the chain backward you realize the real bottleneck is somewhere much less obvious than the headline commodity people are talking about.

I’m curious how people here think about this. When you’re working through a commodity thesis, how far upstream do you actually go before you decide the story is real?