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Connect your brokerage and set your risk limits. Market Ontology will search live macroeconomic, political, geopolitical, commodity and corporate events for trade opportunities, then execute them to create excess return.
Opportunity discovery
Most tools assume you already know the trade. Market Ontology works the other direction: it reads the development, maps who is exposed and how, and returns the expressions worth examining - including the ones that never appear in the headline.
Start from the event
Open any development as a search for expressions. No thesis required before you begin.
Second-order candidates
Suppliers, substitutes, financing channels and policy responses reached after the obvious first move.
What is already priced
See where spot, curves and implied volatility already reflect the mechanism before you commit.
Permission to return no trade
Candidates that fail liquidity, timing, pricing or the countercase are dropped rather than dressed up.
The trader's problem
By the time a headline is everywhere, the first move may already be gone. Traders need to know more than what happened: which assets are exposed, how the event transmits across markets, and whether the options market is already pricing the move.
Headline overload
Every feed shows the same breaking news. Few explain what assets are exposed.
Slow transmission analysis
Macro, policy, energy, rates, FX, and equity impacts are connected, but usually scattered across tools.
Options context is missing
For options traders, the question is not just direction. It's timing, implied volatility, skew, event risk, and what may already be priced.
The Market Ontology difference
Market Ontology turns market-moving events into structured intelligence: affected assets, causal links, macro transmission paths, exposed tickers, and options-relevant context.
Event-to-asset mapping
Map breaking events to the assets, sectors, commodities, rates, FX pairs, and tickers most likely to be exposed.
Causal transmission paths
Understand how an event flows through markets: policy → rates → FX → commodities → sectors → single-name equities.
Options-aware context
Identify events where timing, implied volatility, skew, positioning, and catalyst windows matter.
Trader workflow
Move from "what happened?" to "what matters?" to "what should I monitor next?"
01
Detect the event
Policy shifts, geopolitical shocks, central bank language, commodity disruptions, corporate catalysts, earnings surprises, regulatory actions, and supply-chain events.
02
Map the transmission
See how the event may propagate through rates, FX, commodities, credit, volatility, sectors, and individual assets.
03
Surface exposed assets
Identify tickers, ETFs, sectors, commodities, currencies, and rates instruments connected to the event.
04
Prepare the research
Review timing, catalyst windows, options sensitivity, implied volatility context, and follow-on events to monitor.
For options traders
Options traders need to know when an event matters, how long the catalyst window may last, whether implied volatility is reacting, and which assets may experience second-order moves. Market Ontology helps organize the event context before you evaluate structure, strike, tenor, and risk.
Catalyst timing
Track the event window: what just happened, what comes next, and when the market may reprice.
Volatility context
Flag events where implied volatility, skew, or term structure may matter more than spot direction.
Second-order moves
See related assets that may react after the obvious first move: suppliers, competitors, ETFs, currencies, rates, and commodities.
Trade prep, not trade advice
Use structured intelligence to support your own options research and risk management.
Options involve risk and are not suitable for all investors. Option holders can lose the entire premium paid, and certain option writers can face higher or even unlimited losses depending on the contract. Market Ontology does not provide personalized investment advice or recommendations to buy or sell securities or options.
Macro event trading
Central banks, inflation prints, jobs reports, yield shocks, fiscal policy, and cross-asset moves.
Geopolitical trading
Sanctions, conflict escalation, trade routes, tariffs, export controls, energy disruptions, and country-risk transmission.
Options catalyst research
Identify events where timing, vol, skew, and second-order exposures matter.
Sector rotation
Map policy, rates, commodities, and macro regimes to sector-level pressure and opportunity.
Single-name event exposure
Find tickers connected to policy, supply-chain, commodity, regulatory, and geopolitical events.
Morning market prep
Start the trading day with the events, assets, and transmission paths that matter.
| Workflow | Generic news feed | Market Ontology |
|---|---|---|
| Breaking headline | Yes | Yes |
| Affected assets | Manual | Mapped |
| Transmission path | Manual | Structured |
| Cross-asset links | Scattered | Connected |
| Options-aware context | Rare | Built into workflow |
| Second-order exposures | Manual | Surfaced |
| Research note workflow | Separate | Integrated |
| Event monitoring | Feed-based | Asset-linked |
The edge is not simply seeing the headline. It's understanding the market structure around it: what moves first, what moves second, what is already priced, and what risk remains.
See how Market Ontology helps traders move from breaking events to affected assets, transmission paths, options context, and research-ready market views.
For research and informational purposes only.
Market Ontology is a market intelligence and research platform. Content is provided for informational and research purposes only and does not constitute investment advice, an offer, solicitation, or recommendation to buy or sell any security, option, derivative, or financial instrument.
Options involve risk and are not suitable for all investors. Options investors may lose the entire amount of premium paid, and certain options strategies may involve risk beyond the initial investment. Before trading options, investors should read the Characteristics and Risks of Standardized Options.
Past events, examples, research outputs, or illustrative scenarios do not guarantee future results. Users are responsible for their own investment decisions and risk management.