Research Engine
Ask a question in plain English and get a reasoned answer with the evidence attached — in seconds rather than an afternoon.
How it works
- 1You ask in plain English. No query language, no ticker syntax to memorise.
- 2The engine gathers evidence across prices, fundamentals, filings, news and retail sentiment at once.
- 3A model synthesises it into a direct answer, rather than a list of links for you to read.
- 4Every claim carries its source and a conviction score, so you can check the reasoning instead of trusting it.
Example queries
What is the institutional sentiment around ARM Holdings?
Compare AAPL and MSFT on valuation metrics
Which semiconductor stocks have the highest short interest?
Explain the impact of the latest BoE rate decision on the FTSE 100
What it can see
Each answer draws on whichever of these are relevant to the question. Responses cite the specific filing, article or figure behind a claim.
| Area | What it includes | Coverage |
|---|---|---|
| Prices & history | Daily and intraday bars, splits and dividends | Global equities, ETFs, FX, crypto |
| Fundamentals | Statements, ratios, estimates and revisions | Global |
| Filings | Annual and interim reports, insider dealings | US, UK |
| News | Headlines and full articles, deduplicated | Global |
| Retail sentiment | Discussion volume, 24-hour change, ranking | US equities and major crypto |
| Regulatory | Firm and adviser registers, permissions | UK |
Social analysis
Two readings of what a market is saying about an instrument, kept separate because they are not equally trustworthy.
- Attention — how much a ticker is being discussed across retail forums, and how that has moved in the last 24 hours. Counted, not inferred: a jump from 32 mentions to 314 is arithmetic, and it is available for every instrument.
- Conversation — what is actually being said, read live and summarised with links to the posts behind it, so a claim can be checked rather than taken on trust.
Attention comes first for a reason beyond cost: it decides whether the deeper read is worth doing at all. A ticker nobody has mentioned has no conversation to summarise, and an eloquent paragraph about silence is worse than no answer.
Both arrive with the same deterministic checks the rest of the platform uses — thin volume, missing citations, and a single account dominating the discussion, which is the cheapest signature a coordinated push leaves. Social readings are context and never a trading signal: they cannot reach a simulation, because a backtest that reads a live feed stops being reproducible.
Using the CLI
alphonce research query "Is NVDA overvalued?" --format json| Name | Default | Description |
|---|---|---|
--format | "markdown" | Output format: markdown, json, or plain. |
--sources | — | Restrict the evidence used: news, social, fundamentals, technical. |
--save | — | Save the response to a file path. |
Auditable by design