An AI Research Assistant That Shows Its Working.
Ask questions about markets, companies and economic data in plain language, and get explanations, summaries and comparisons linked to the data behind them.
Ask in plain language
A research partner for questions, not a source of answers to trust blindly
The assistant is designed to sit across every Quantzivo AI module. Ask it to explain a concept, pull together data, summarize recent coverage or compare companies, and it responds with the reasoning and the sources it used, so you can check them.
- Natural-language questions about charts, statements, news and economic data
- Answers with their working: the data, period and method used
- Source links for facts drawn from news, filings or releases
- Saved to your workspace next to your own notes
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In development
In development
Product status: Quantzivo AI is in development. Features described here reflect the planned scope and may change before release.
Planned capabilities
What the assistant is designed to help with
Natural-language research
Ask a research question the way you would ask a colleague, without learning a query language.
AI-assisted data exploration
Pull up the right series, filter by period and build a quick table or chart from a request.
Financial concept explanations
Plain-language explanations of terms, ratios and methods, pitched at your level.
Market research summaries
Condense recent news, releases or statements for a watchlist into a short, source-linked brief.
Indicator interpretation
Understand what an indicator reading measures and the conditions in which it tends to mislead.
Financial statement insights
Walk through what changed between periods and which line items drove the change.
Analytical comparisons
Compare companies, sectors or periods on the metrics you choose, with the method spelled out.
Shows its sources
Facts come with links to the data, filing, release or article they were drawn from.
Example prompts
The kinds of questions it is built for
Good prompts ask the assistant to explain, summarize, compare or explore. These examples show the range across Quantzivo AI's modules.
Concepts
"Explain free cash flow and why it can differ from net income, using a simple example."
Indicators
"What does an RSI reading above 70 actually measure, and when has it been a poor guide?"
Statements
"Summarize how this company's operating margin changed over five fiscal years and which costs drove it."
Comparisons
"Compare debt-to-equity for these three companies and explain what might account for the differences."
News
"List this week's stories on my watchlist that mention guidance changes, with a link to each source."
Macro
"What changed in the wording of the latest central bank statement compared with the previous one?"
- What is the difference between headline and core inflation?
- Show 50- and 200-day moving averages and explain a crossover
- How is EV/EBITDA calculated?
- Summarize sector news sentiment for the last 30 days
- Why do GDP figures get revised?
How it answers
Designed to be checkable at every step
Clarify the question
If a request is ambiguous, such as which period or which measure, the assistant is designed to ask or state its assumption.
Retrieve the data
It draws on data and documents available in the platform rather than relying only on what the model remembers.
Explain the working
The answer describes the figures, periods and calculations used, so you can follow the reasoning.
Cite and caveat
Sources are linked, and gaps or uncertainty in the data are stated rather than smoothed over.
Boundaries
What the assistant won't do
Some requests fall outside what a research and education tool should answer. In those cases the assistant is designed to decline clearly and offer something useful instead.
| If you ask… | The assistant won't… | It can instead… |
|---|---|---|
| "Should I buy this stock?" | Make buy, sell or hold recommendations | Explain the company's fundamentals, recent news and how it compares with peers |
| "Where will this price be next month?" | Predict prices, targets or market direction | Describe historical volatility and what has driven past moves |
| "Give me a strategy that makes money." | Promise returns or supply ready-made trading signals | Explain how to frame a hypothesis and test it in Quantzivo Studio |
| "How should I invest my savings?" | Give personalized financial, tax or investment advice | Explain general concepts such as diversification and suggest speaking to a qualified advisor |
| "Place this trade for me." | Execute trades or connect to a brokerage account | Help you research the instrument; Studio paper trading is simulated only |
AI can be wrong. The assistant can misread data, confuse similar companies or state errors confidently. Treat answers as a starting point, follow the source links and verify any figure you rely on.
Using it well
Habits that make AI-assisted research more reliable
Be specific
Name the company, the metric and the period. Vague questions get vague answers.
Ask for sources
If an answer has no source, ask where the figure came from before using it.
Check the numbers
Spot-check key figures against the statements, releases or articles linked in the answer.
Macro Intelligence
FAQs
All FAQsAI assistant questions
No. It is a research and education tool. It explains, summarizes and helps you explore data, but it does not give investment advice, recommendations or price predictions.
You verify it. Answers are designed to show the data and method used and to link to sources. AI can make mistakes, so check any figure that matters against the original.
Strategy development is the focus of Quantzivo Studio, which is designed to include Python templates and a coding workspace. The research assistant focuses on explaining and exploring market data.
Planned plans include different usage levels, from the Student plan to the Advanced plan. Limits and prices are illustrative and will be confirmed at launch on the pricing page.
AI research assistant
Research faster, and understand more of what you find
Request early access to the assistant, or book a demo conversation to show us the research questions you would ask it first.