Product workflow

From headline to market scenario: a practical ECHO workflow

A useful market question starts with a specific event, not a prediction made in isolation. ECHO gives you several views of the same research problem: the reporting, the connected assets and the possible effects. This workflow helps you move between those views without mistaking a scenario for a fact.

Start with what the source actually says

Open News and choose a recent item in a topic you want to understand. Check the publication time and source, then follow the original reporting where available. Identify the event itself: who acted, what changed and when it happened. Separate a new announcement from commentary about an older one.

Write one factual sentence before opening an analysis. For example, a company announcing a spending plan is an observation; that plan boosting a supplier's profit is a hypothesis. Keep numbers, time periods and conditions attached to the source that reported them. If the headline omits an important detail, investigate it rather than asking the AI to fill the gap as though it were known.

Explore the connections, then check the market

Open the Live Map to explore events and their associated assets. Use the category controls or search to narrow the view, then select a node to inspect its details. Treat a connection as a prompt for investigation. Shared mentions, topics and exposures can help you discover related instruments, but a line on a map does not establish that one event caused a price move.

Use Markets to inspect a tracked instrument's available quote, change and chart or market context. Follow its related headlines. A price change can reflect several events, broader conditions or expectations that existed before the latest report. Compare the timing rather than assuming the most visible headline explains everything.

An illustrative example: a larger AI spending plan

Suppose a fictional cloud company increases its planned AI infrastructure spending. This is an illustration, not a report about a real company or a forecast. Potential research paths could include chip suppliers, networking equipment, data-center capacity and electricity demand. Each path needs its own evidence and timing.

A more useful question than 'Which stock goes up?' would be: 'If a cloud company increases AI capital spending over the next year, what could the direct and indirect effects be on chipmakers and power demand, and what assumptions might weaken that scenario?' This sets the condition, horizon and areas of interest while inviting an explanation of uncertainty.

The first-order idea might be more demand for equipment. A counterpoint could be already-expected spending, limited supply or costs that offset higher sales. These are hypotheses to test against disclosures and reporting, not conclusions implied by this example.

Read the answer as a scenario to test

In Ask ECHO, include the event and any relevant context in your question. Examine the suggested consequences alongside the original source. An AI explanation can contain omissions or mistakes; a confidence value is not a guaranteed chance of a profitable trade. Ask what evidence would support or contradict the proposed effect.

Keep a short research note with three parts: the reported fact, the potential mechanism and the unresolved question. Return to the feed as new information appears. This gives you a repeatable way to update your view without treating the first answer as final. The goal is a clearer understanding of the event and the uncertainty around it.

  • Fact: What is supported by the original source?
  • Mechanism: How might it affect a company, sector or asset?
  • Uncertainty: What could make that explanation incomplete or wrong?

Questions about a source or explanation? Read our editorial approach and report a correction. AI scenarios remain possibilities to investigate.

Ask ECHO a market question