What a Complete Market Analysis Actually Looks Like

Most traders have done research before a trade.

They have looked at a chart. Read a headline. Checked an indicator. Formed a view. Placed the order.

Those steps can contribute to analysis. But without a clear question and a way to test the conclusion, important context can remain unexplored.

Here is how that process can work in practice.

Start with a question, not a direction

Gathering data is part of research. A clear question helps turn that information into a structured analysis.

Not “is this worth buying?” but something more precise: “Does the current setup offer a risk-adjusted reason to be long, or is the market pricing in more than the evidence supports?”

That framing matters. It sets a standard for what counts as a sufficient answer and keeps the process honest when the evidence turns out to be mixed.

A worked example

The following example is hypothetical and illustrates a research process. It does not describe a current stock or an actual Zeig response.

Consider a stock that has just reported earnings above expectations. The price has risen sharply and is approaching a resistance level it has failed to break on three previous occasions.

The question: Is the post-earnings momentum strong enough to break resistance, or is this a fading move?

Macro context: The broader market is under pressure from rising yields. Sector rotation has been away from high-growth names. The stock needs to work against a headwind.

Earnings and fundamentals: The beat was real, but guidance was in line rather than raised. The price reaction suggests optimism, although positioning remains uncertain. The initial reaction may already reflect much of the good news.

Technical structure: Each previous rejection at resistance came with high volume — suggesting strong trading activity around that level, with price failing to hold above it. A break with sustained volume would be meaningful. A move on fading volume would be a warning.

Sentiment and positioning: Options activity shows elevated call buying before earnings. This may suggest anticipation of upside, but call volume alone does not establish how investors are positioned. It can also reflect hedging or spreads.

Conclusion: The evidence is mixed. The conditions to monitor are volume behaviour at the resistance level and any shift in sector sentiment. Acting before those conditions clarify means accepting more uncertainty than the setup currently justifies.

That conclusion is not a buy or a sell. It is an assessment with reasoning attached — and a clear statement of what would change it. A structured analysis produces a view — directional or inconclusive — with supporting evidence, conditions to monitor and an alternative explanation.

What Zeig actually returned

We then asked Zeig a related question about Meta. This was a separate test from the hypothetical example above. The question put to Zeig: “Is the post-earnings momentum in Meta strong enough to break resistance, or is this a fading move?”

Response captured on 8 October 2026 at 11:40 EET (UTC+3), using a 1-minute Meta chart. The quoted prices are historical and are not current trading levels.

TLDR (verbatim):

The 1-minute tape shows a sharp post-peak sell-off into 720 with momentum only just stabilizing — but with no higher-timeframe data in hand, I can’t confirm whether this is a pullback inside a larger uptrend or the start of something worse, so “strong enough to break resistance” is unanswerable from this window alone.

Summary of the technical read:

Price peaked near 728.00, sold off to a session low of 720.93, and was consolidating at 721.15 — below the middle Bollinger Band and just above the lower band (720.49, a dynamic level distinct from the session low). RSI at 42.83, and a MACD crossover was forming but remained unconfirmed. Higher timeframes were not supplied. Zeig stated clearly that any claim about the higher-timeframe trend would be invention.

Invalidation levels (summary):

Bearish continuation invalidated above 722.25, then 724-725.

Bullish stabilisation invalidated if 720.49 gives away — opens 720.00.

Conclusion (verbatim):

The honest answer to your question is: the 1-minute can’t answer it. A move that peaked at 728 and is now defending 720 is a pullback if the daily/4-hour trend is up, and a breakdown if it isn’t — same 1-minute chart, opposite conclusions. Confirm it against the higher timeframes before treating either as a setup. Whether you act on that is your call.

This response does not provide the full macro, fundamental and sentiment context. It illustrates why identifying missing evidence is part of a structured analysis — and why the question you ask shapes the answer you can get.

Research is only part of preparation

Confirmation bias can turn research into a justification for a decision already made, rather than a genuine test of whether the view holds. CNMV’s guide to behavioural economics for investors describes how this tendency leads investors to selectively seek information that supports existing views.

Before entering a trade, the trader also needs a defined timeframe, position size, exit plan and a limit on how much they are willing to lose. A well-researched trade can still lose money. FINRA’s day-trading risk disclosure makes this point directly: even experienced traders with in-depth knowledge of the markets may suffer severe and unexpected losses.

Analysis manages the quality of the decision. Risk management manages the consequences of being wrong.

This is what Zeig was built to support

Running this kind of analysis — across macro, technical, news and market context, on a clearly defined question — takes time and structure. Individual traders often have to move between separate tools and sources that were not designed to work together.

When you ask Zeig about a market, specialist AI agents work across macro, technical, news and market analysis simultaneously. The result is not a list of data points. It is a view — specific, contextualised, with the reasoning visible and the conditions to watch made explicit.

The trade still belongs to you. The decision is still yours.

But the process that leads to it no longer has to be yours to build alone.

Trade with your AI team.

Sources:

CNMV — Behavioural Economics for Investors https://www.cnmv.es/DocPortal/Publicaciones/Guias/EN-Guia_Psicologiaenen.pdf

FINRA — Day-Trading Risk Disclosure (Regulatory Notice 24-13)https://www.finra.org/rules-guidance/notices/24-13