Get the most out of your research
Up to 25 specialist AI analysts debate every stock — the bull case, the bear case, and the risks — so you get one clear, transparent research view in minutes. These guides show you how to read it and put it to work.
Valarn is an educational research tool. Nothing here is financial advice or a recommendation to buy or sell any security.
Guides & explainers
Start here
Six short guides — from running your first report to reading the research view, understanding confidence, and getting to know the 25-analyst roster.
Getting started
Run your first research report in about 2 minutes. Pick a ticker, choose a report depth, and watch the AI analyst team work — then read the result.
- Create a free account — 1 Basic report per month, no card required
- Enter a ticker and choose Basic, Standard, or Deep Debate
- Let the AI analysts run and read your first research view
How to read a Valarn report
A guided tour of every section: the research view, the conviction and confidence scores, the scenario range, the key risks, and "what would change the view."
- The research view — a neutral stance, not a buy/sell call
- Scenario range, key risks, and what to watch next
- Full reasoning and a source audit behind every claim
Understanding the research view & confidence
Plain-English explainer of how Valarn expresses a stance and how much to trust it — Bullish to Bearish, with an honest confidence score that reflects analyst agreement.
- Research views: Bullish · Cautious Bullish · Neutral · Cautious · Bearish
- Confidence is calibrated — disagreement lowers it, not hides it
- Why we never show a one-sided "BUY" or "SELL" verdict
Using backtests (educational)
What a backtest does — and doesn't — tell you. Valarn tests transparent, mechanical rules on real historical prices. It's an educational simulation, never a prediction or advice.
- Single-stock & portfolio backtests, plus the Strategy Lab
- Tests mechanical rules on historical prices — not the AI as of a past date
- Past behaviour is not a forecast of future results
The 25-analyst roster, explained
A plain-language glossary of what each kind of AI analyst looks at — from price action and fundamentals to insider filings, valuation, and the Bull/Bear debate team.
- Core analysts: market, news, fundamentals, sentiment, sector, catalyst
- Pro & Pro Plus: insider, macro, valuation, SEC filings, red flags
- The debate team: Bull, Bear, Risk Manager, and final synthesis
Glossary of common terms
Conviction score, scenario range, confidence, source audit, ensemble runs, catalysts — a quick reference for the terms you'll see throughout your research.
- Conviction score, confidence, and research view
- Scenario range, catalysts, and key risks
- Source audit, data quality, and ensemble runs
Transparency by design
No black box — see exactly why
Good research you can't inspect isn't research. Every Valarn report shows its reasoning, its confidence, and its sources.
See the reasoning
Read every analyst memo and the full Bull vs Bear debate — the reasoning is on the page, not hidden.
Honest confidence
Confidence reflects real analyst agreement. We don't inflate certainty when the evidence is mixed.
Every source shown
A source audit traces each claim back to live data feeds.
Quick reference
Glossary of common terms
The vocabulary you'll see across every research report, in plain English.
Research view
Valarn's neutral stance on a stock — Bullish, Cautious Bullish, Neutral, Cautious, or Bearish. It is a research perspective, never a buy/sell instruction.
Conviction score
A 0–100 measure of how strongly the synthesis supports its view, derived from how much the analysts and the debate agree.
Confidence
An honest read on how much to trust the result. When analysts disagree or data is thin, confidence drops rather than being hidden.
Scenario range
A bear / base / bull set of reference prices that frames the potential upside and downside, with the assumptions behind each.
Key risks
The most credible things that could undermine the thesis — surfaced by the Risk Manager so you know what to watch.
What would change the view
The specific signals or events that would move the research view up or down — a forward-looking watchlist for the thesis.
Source audit
Every claim is traceable. The report shows which data sources informed it — with no black box.
Data quality
A read on how complete and consistent the underlying data is. A built-in QA pass flags a report built on thin or conflicting data, so you know how much to trust its view.
Ensemble run
Running the full analysis 2–3 times and merging by majority vote to reduce the natural randomness in AI output.
Catalyst
An upcoming event — earnings, a product launch, a macro print — that could materially move the stock.
Backtest
An educational historical simulation of a transparent, mechanical trading rule on real past prices. Not a prediction, not advice.
Bull vs Bear debate
Two AI advocates argue the strongest case for and against a stock across up to three rounds, so blind spots surface before a view is reached.
Synthesis
The final research thesis — a Reviewer AI weighs the whole debate into one plain-language view, with its reasoning and confidence shown.
Risk Manager
The agent that pressure-tests the thesis and surfaces the most credible risks and red flags, so the downside is never glossed over.
Calibration
How Valarn tracks whether its past research views lined up with what actually happened — a check on honesty, not a performance or returns claim.
Report depth
The three report types: Basic (a fast two-analyst snapshot), Standard (full coverage plus a one-round debate), and Deep Debate (every analyst on your plan, multi-round).
Fundamentals
A company's financial reality — revenue, margins, balance sheet, and SEC filings — as read by the Fundamentals analyst.
Technicals
Price action, momentum, and key levels — how a stock has traded. A description of the chart, never a signal to trade it.
Sentiment
The tone around a stock — social chatter, retail positioning, and options-flow — summarized by the Sentiment analyst.
Valuation context
Where a stock's multiples (like P/E or EV/EBITDA) sit versus its own history and peers — context for the discussion, never a price target.
Macro backdrop
The wider environment — interest rates, inflation, and economic data — that shapes the setup, from the Macro analyst.
Insider activity
Buys and sells by a company's own executives and directors, from their SEC Form 4 filings — factual third-party data, not Valarn's own view.
Analyst consensus
The aggregate of independent Wall Street analysts' estimates and ratings — third-party data shown for context, separate from Valarn's research view.
Reference price
A scenario level that frames a bull, base, or bear case for discussion, with its assumptions shown — a reference point, not a Valarn price target or prediction.
Ready to put it into practice?
The free plan includes 1 research report per month — no credit card required. Run one and read it alongside these guides.
Educational research only — not financial advice or a recommendation to buy or sell any security.