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AI for markets and portfolios

How an AI finance assistant helps investors and advisors track markets, review portfolio positions, and turn research into decisions — all in one place.

Candlestick chart showing a downward trend in the stock market analysis.
Photo: Alex Luna / Pexels

Market information is everywhere. The problem is not access — it is making sense of it in time to act. By the time you have pulled data from three sources, cross-referenced a position, and drafted a note on what it means, the window has often moved. An AI finance assistant is useful not because it knows more than you do, but because it removes the manual steps between having a question and having an answer worth acting on.

Questionabout a position Researchsources cited Analysisin plain language Decisionwith paper trail
From a question about a position to a decision you can defend — with every source attached.

What takes the time today

Ask anyone who works with portfolios where the hours go, and the answer is rarely "thinking." It is finding: pulling a recent earnings summary, comparing it to an analyst note, checking a macro indicator, then writing it up in a form someone else can read. Each of those steps lives in a different tool, and the value is in the synthesis — which only happens after you have done all the fetching.

An AI finance assistant handles the fetching. You provide the judgement.

How this comes together in askFinz

The Finance workspace and the wealth & finance workflow coming to askFinz are designed around how investment and advisory work actually unfolds:

  • Ask about a market, a sector, or a position. The answer comes back in plain language with the sources it drew on — no need to pre-select where to look.
  • See changes in context, not in isolation. A move in one holding means more when you can see it against the broader picture. The workspace is built to hold both at once.
  • Draft notes and summaries without switching. The same place you ran the research is where you write the briefing. Citations stay attached so nothing has to be re-sourced.
  • Build a shared view. Whether you are working alone or with a team, the trail of reasoning is visible and shareable — which matters when a decision needs sign-off.

Why the audit trail is part of the product

In investment work, "what did we know and when did we know it" is not a philosophical question — it is a practical one that comes up in client reviews, compliance checks, and post-mortems. When the research, the analysis, and the decision note all live in the same place with the same source citations, that question has a ready answer.

That design principle runs through the wealth & finance workflow: the trail is not an afterthought you reconstruct later. It is built in from the first question.

Who this is designed for

Individual investors who want to research without opening ten tabs. Advisors who need to produce client-ready notes without a research team. Portfolio managers who want a faster path from a market development to a reviewed position. All of them are dealing with the same bottleneck — and the same unlocking of time when the manual steps go away.

Request access and run your next market question through it.

Further reading

A glimpse of the workspace

See it in askFinz.

finance.askfinz.ai · liveMarkets open
World 500
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Tech 100
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EM Broad
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AVX · Avalon Index ETF1D · 30+ studies
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RSI 58MACD +VWAP 478.4
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AVX
Avalon Index ETF
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+1.24%
NRG
Northgate Energy
71.43
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QBT
Quanta Bio
318.90
+2.18%
HLX
Helix Semi
144.07
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MRD
Meridian Funds
58.22
-0.34%
ORB
Orbit Crypto
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+3.05%
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