Discover
01Orvanthis continuously reviews market activity, source events, candles, and developing setups across multiple discovery paths.
Continuous market research and prioritization
The market keeps moving. Orvanthis keeps looking.
Orvanthis continuously reviews real market data and source-backed developments, prioritizes what may deserve research, and shows what changed, what needs validation, and what to investigate next.
Stop starting every research session from zero.
Source-backed context · Current evidence stays primary · Research tools, not financial advice
Briefing intelligence ledger
Illustrative workflow example
Ranked Signal
Research setup
Fresh context moved this setup higher in the queue. Review the evidence before continuing.
Overview
What changed
Evidence
Validation
Research path
Research Drawer context
Example, not a market claimWhy this surfaced
Material context changed and current participation strengthened.
What changed
The setup moved higher in the research queue as fresh evidence became available.
What needs confirmation
The move still lacks sufficient closed-candle follow-through.
What could weaken it
The setup weakens if participation fades and recent movement retraces.
Research Desk handoff
Review the original source context and validate the move against closed-candle evidence.
This example demonstrates the workflow. It is not a current market claim, return forecast, or recommendation.
Why Orvanthis
Most platforms give you more information. Orvanthis helps you decide what to research first.
Not another stock score. A continuous research workflow. Keep evidence, uncertainty, risk, and next questions connected.
Understand
02See why something surfaced, what changed, what still needs confirmation, and what could weaken the setup.
Continue
03Carry the setup into a structured research workflow instead of rebuilding the context tomorrow.
How it works
A disciplined path from discovery to follow-up.
The workflow is plain by design: look broadly, prioritize carefully, validate independently, and preserve the context for the next review.
Read how Orvanthis prioritizes research- 01
Orvanthis looks broadly
It reviews multiple discovery paths, current market context, and source-backed developments without treating any one feed as complete.
- 02
Orvanthis prioritizes
Eligible setups enter a ranked research queue based on current evidence, freshness, risk, validation needs, and bounded historical context.
- 03
You validate
Review what supports the setup, what remains unknown, and what could weaken it.
- 04
You continue the research
Save the setup, build a thesis, generate a structured brief, and return when the context changes.
- 05
Orvanthis learns carefully
Completed tracked outcomes can provide bounded historical context for future research priority. Current evidence remains primary.
Historical context informs prioritization. It does not predict returns or allow an AI model to rewrite the research rules.
What Orvanthis reviews
Broad discovery. A narrower research queue.
Orvanthis searches across multiple discovery paths, then narrows the results into a ranked research queue. Coverage varies by market, source, provider entitlement, and session.
- Market movers
- Fast-developing market behavior
- Actively traded equities
- Recent source-backed events
- Press releases and earnings context
- New and returned setups
- Pinned and active research
- Completed tracked outcomes
Trust and methodology
Transparent about what the product knows—and what it does not.
Orvanthis keeps source context, freshness, missing information, closed-candle distinctions, validation gaps, and weakening conditions visible. Current evidence remains primary; historical context stays bounded and sample-aware.
Product boundaries
- Not a generic stock score
- Not a stock-picking newsletter
- Not a news feed
- Not personalized financial advice
- Not a return-prediction product
Product workflow
Turn a surfaced setup into durable research.
Carry forward what changed, why the setup may matter, the available evidence, validation gaps, weakening conditions, and next questions— without losing the reasoning inside a chat history.
Briefing
Start with what Orvanthis found, what materially changed, and what may deserve attention first.
Signals + Research Drawer
Review the ranked queue, why each setup surfaced, its validation gaps, and its weakening conditions.
Research Desk
Carry selected context into a thesis, structured brief, and next research questions.
Pinned Research
Keep active work organized and return when the context changes.
Pricing
Choose the research depth and follow-up capacity you need.
Monthly pricing is shown below. Current limits are explicit so you can compare the workflow before continuing to checkout.
For exploring the workflow
Free
See how Briefing, Signals, Radar, and saved research fit together before choosing a paid plan.
$0/month
- Limited Briefing and Signals preview
- Limited Radar and Watchlist preview
- 3 saved items
- 10 Analyst messages per month
- No monitoring
- No generated research reports
For a consistent research practice
Premium
Use the full daily workflow with saved research, basic monitoring, and structured Analyst support.
$25/month
- Full Briefing, Signals, Radar, and Opportunities
- 50 saved items
- 10 monitored items
- 100 Analyst messages per month
- 10 generated research reports per month
- Basic monitoring and standard source refresh limits
Renews monthly until canceled. Cancel future renewals through the billing portal. Charges are generally non-refundable except where required by law or approved under the policy.
For deeper monitoring and research volume
Premium Plus
Add advanced monitoring, change explanations, deeper context, and higher research limits.
$50/month
- Everything in Premium
- 250 saved items
- 50 monitored items
- 500 Analyst messages per month
- 50 generated research reports per month
- Advanced monitoring, change explanations, and peer context
Renews monthly until canceled. Cancel future renewals through the billing portal. Charges are generally non-refundable except where required by law or approved under the policy.
Review the Refund & Cancellation Policy and Terms of Service before purchasing. Displayed prices reflect the current product configuration in this repository; confirm the final amount and billing interval shown by Stripe Checkout.
Frequently asked questions
Clear expectations before you start.
What is Orvanthis?
Orvanthis is a continuous market research and prioritization product. It organizes market developments into a ranked workflow showing what may deserve attention, why it surfaced, what needs validation, and what to research next.
Is Orvanthis a stock-picking service?
No. Orvanthis does not publish stock picks or tell users what to buy or sell. Signals are research setups that require independent validation.
Does Orvanthis provide financial advice?
No. Orvanthis provides software and market-research tools, not personalized financial advice.
Where does the data come from?
Orvanthis uses third-party market-data, news, press-release, earnings, public-information, and AI service providers. Coverage and availability vary. Material information should be verified with original or authoritative sources.
Is the data real time?
Not always. Data may be real-time, delayed, end-of-day, cached, stale, incomplete, or unavailable depending on the source and entitlement. Provider event time and fetch time are kept distinct when that context is available.
How are Signals created?
Signals enter a ranked research queue through bounded discovery and deterministic review of available evidence, freshness, risk, and validation needs. A Signal is not a recommendation or predicted return.
What makes an Opportunity different from a Signal?
An Opportunity is a Signal that meets additional criteria for deeper research. Qualified describes its place in the workflow; it does not mean verified, suitable, or likely to produce a return.
Does Orvanthis predict returns?
No. Priorities, historical context, and AI-assisted briefs are research aids—not profit probabilities or forecasts.
How does historical context work?
When sufficient comparable outcomes exist, Orvanthis can add bounded, sample-aware historical context. Small or incomplete samples are limited, and current evidence remains primary.
Does Orvanthis learn from outcomes?
Completed tracked outcomes can inform bounded historical context. The process is deterministic and versioned; an AI model does not rewrite ranking rules or detector thresholds.
Can I cancel?
Yes. Paid subscriptions can be canceled through the billing portal to stop future renewals. Cancellation and refunds are different; review the Refund & Cancellation Policy before purchasing.
How do I contact support or submit a privacy request?
Email Orvanthis LLC at Orvanthis@gmail.com. The support inbox currently handles privacy requests.
Who operates Orvanthis?
Orvanthis is operated by Orvanthis LLC, an Indiana limited liability company.
Arrive with context
Stop starting every research session from zero.
Open Orvanthis to see what may deserve attention, why it surfaced, what still needs validation, and where to continue the research.