Market positioning conflicts with the prevailing narrative
- Exchange flows
- Accumulation
- Social sentiment
- Fear
- Evidence coverage
- Partial
The world’s noisiest market, made legible. Explore the evidence. See what holds up.
Checking current research infrastructure…
Illustrative interface · findings require current source checks
Change the window to compare price, attention and evidence strength. The example is illustrative; current research remains attached to its live sources.
DYOR monitors market, project and attention evidence for contradictions and meaningful changes. These examples demonstrate the research workflow; open Discover for current source-backed states.
A divergence is a prompt to investigate, not a causal claim or trading signal.
Inspect Bitcoin evidence →The significance remains a research question until current sources agree.
Inspect Solana evidence →DYOR preserves what changed, which evidence supports it, and what remains unresolved.
Review Ethereum research →Buddy works from visible research context, keeps unknowns explicit and points you back to the sources.
What changed with Bitcoin—and which part actually matters?
Start with the divergence. Attention moved faster than the supported evidence. Two observations deserve review; one remains unresolved.
Each view illuminates a different part of market reality. Together they show what deserves attention next.
Liquidity, positioning and market structure in one inspectable view.
Inspect market structure →IntelligenceChanges + evidenceScan project, market and attention evidence for material changes.
Open Discover →Research assistantAnswer + unknownsAsk questions using available context, precedent and saved research.
See Buddy research →NarrativeBefore + afterDetect when the consensus, evidence or underlying story moves.
Inspect changes →EvidenceAgree or conflictSee where observations and prevailing claims do not agree.
Inspect evidence →DiscoveryAssets + eventsQuery assets, events, signals and research notes from one place.
Search research →Explore an example relationship map across assets, narratives and evidence. Select a node to reveal why it belongs in the same research neighbourhood.
The liquidity anchor connecting macro conditions, institutional flows and market-wide risk appetite.
Open research →Markets run on stories. DYOR tracks when community consensus, key metrics and project fundamentals stop telling the same story.
Open narrative radar →Illustrative narrative examples · dates and findings are not live observations.
L2 fee-revenue story
NowDeclining DEX volumes
NowNo account. No subscription. Start with the evidence available now.
The open research network for crypto.
The world's noisiest market, made legible. DYOR brings fragmented evidence together, preserves where it came from, and shows what agrees, what conflicts, and what is still unknown.
Start with observed movement, inspect source coverage, then record the uncertainty and next useful check.
Why DYOR
Scan a market of tens of thousands of assets without starting from a wall of charts or disconnected tabs.
Trace market, network, ownership and project observations back to their source, timestamp and method.
See where independent sources agree, where they diverge, and which missing evidence matters next.
Choose a step, or let DYOR walk you from a market signal to a source-aware report.
Built for better questions
Know the asset, downside risks and what the available evidence actually supports.
Trace claims, source quality, history and market context before forming the story.
Compare network health, development, liquidity, adoption and value accrual.
Discuss projects with visible evidence, uncertainty and a shared research vocabulary.
Open prototype
DYOR is currently an open prototype. Saved assets, theses and research settings stay in this browser on this device.
Evaluation beyond valuation
DYOR | Do Your Own Research
The crypto research workflow for evidence-backed decisions, without hype or friction. DYOR transforms fragmented crypto data & signals into plain-English research, making project due diligence clearer, faster & more accessible.
DYOR does not tell you what to buy. It helps you understand an asset, separate attention from reliable information, and see what still needs checking.
What DYOR is
See what moved, open an asset, understand the risks, check the claims, and create a clear report.
See what is attracting attention, what the available information supports, how sharply prices move, and what could go wrong.
Find over-hyped, watch, and under-radar assets before opening a deeper read.
Understand supply structure, market attention, price swings, liquidity, holders, and source quality.
Check whether major claims have reliable support and review serious warning signs.
Create evidence-backed reports and shareable insight tiles with limitations attached.
See whether an asset is building broad interest, simply getting louder, or becoming overcrowded.
Check whether real activity and large-wallet movements support the story.
See which claims have support, which may mislead, and which still need checking.
Turn complex research into useful outputs without pretending DYOR is financial advice.
Built for participation
Understand the asset, the evidence, the risks, and the next checks before relying on gut feel.
Compare developer activity, network health, liquidity, community signals, and value accrual.
Use FUD Check and source quality to discuss projects with more evidence and less noise.
Surface source quality, adverse-history leads, suspicious flows, and reportable context.
BTC is ready for a first-pass report, but unlocks, liquidity, and source freshness still need review.
DYOR should never replace hype with unexplained proprietary signals. It should show the working.
Open a market lead, inspect an asset, pressure-test the claims, and package the evidence. DYOR keeps the useful part of institutional research and strips out the mystery.
Research queue
Inspect dated source changes, then choose an asset to investigate. Market movement alone does not establish a material research change.
Material, evidence-backed changes across the initial BTC, ETH, SOL, AAVE and UNI pilot.
Select a source-backed event to inspect the retained market window around it—without turning timing into causality.
Aligning retained research events with market history…
Coincidence identifies a research window. It does not establish that an announcement, release or proposal caused price, volume or liquidity to change.
Official publications and protocol announcements, separated from independent news and market confirmation.
Checking official publisher feeds…
High-value research inputs ranked for human review by authority, unique value, access and licence clarity—not popularity.
Reading the governed source registry…
Current metadata from governed public repositories. Commit activity is a review lead—not a quality, delivery or adoption score.
Checking allowlisted repository metadata…
Verified releases, liquidity changes, and source updates.
Loading verified observations…
Every row shows the evidence it actually has. Open an asset without waiting for every capability or composite score.
Risk comparison
Two assets. Their evidence, differences, and unknowns.
Compare puts two assets side by side and uses familiar markets to make the risks easier to understand.
Research
Choose a research lane, check why an asset is here, then save it or investigate. These labels guide research; they do not recommend a trade.
Asset intelligence
See what changed, what each score means, what large holders are doing, and which information still needs checking.
DYOR groups assets by role, heat, and confidence so users can move from curiosity to structured research without pretending every asset is comparable.
Assets in the research universe
Fast attention, needs deeper diligence
Digital monetary network
Checking canonical spot, derivatives, leverage and liquidity evidence.
Select a claim, then inspect the retained evidence and attributable source behind it.
Checking canonical claim relationships…
A relationship records how evidence is linked to a claim. It does not turn correlation into causality or source count into certainty.
Material changes since your last meaningful review.
Each section gives you the finding first. Open the complete evidence when you are ready.
Overview, history, key facts, classification and project foundations.
Price, volume, volatility, attention, sentiment, liquidity and relevant institutional activity.
Network activity, transactions, active users, holders, exchange flows and adoption.
Fundamentals, tokenomics, supply, development, governance, treasury and roadmap evidence.
Market, liquidity, concentration, supply, development, regulatory and evidence risks.
Bitcoin is a digital monetary network with a fixed maximum supply. People use it to hold and transfer value without relying on a central issuer.
Loading provider history…
Historical price and volume data is loading.
Checking price agreement, spreads, observable depth and hypothetical market impact.
Checking whether protocol fundamentals apply to this asset.
Checking verified chain-and-contract liquidity.
Checking verified project repositories.
Checking verified governance sources.
Checking whether enough verified inputs exist to calculate a public score.
Checking authorised Santiment and Messari capabilities.
Each module identifies its source state. Missing inputs are never estimated.
Price, trading activity, attention, and liquidity are read together before a market move is treated as durable.
Use the detailed market, attention, volatility, and liquidity evidence below.
Network activity
Network cards show their evidence state. Reference-model values are directional placeholders until a chain-specific source is connected.
Holder, whale and exchange flow
Tokenomics
Liquidity
Development
Feature suite
Research modules based on the feature map: holders, exchange flows, tokenomics, network health, liquidity, development, cycles, claims, sources, filings, due diligence, scenarios, and alerts.
Decision support
Explore trading impact, possible scenarios, project promises, delivery progress, your investment thesis, alerts, and source updates.
Saved research briefing
Your saved assets. What changed, and what comes next.
Saving an asset means you want to research or monitor it. It does not indicate ownership, preference or investment intent.
Suggested starting points, not saved assets or ranked recommendations. Save an asset when you choose to follow it.
Research stays in this browser on this device. Export before clearing browser data or moving devices. The JSON backup includes saved assets, theses, private notes, evidence checkpoints, monitoring conditions, hypothetical portfolios and workspace memory. It excludes account details, analytics and Buddy chat history.
Import adds new records. Identical records are skipped; conflicting versions never replace existing work. Keep both files if you need to reconcile a conflict. A merge exceeding 30 checkpoints is refused without changing your research.
Save assets from Discover or Research to build your research queue.
My Research · Virtual Folio
Track what happened to hypothetical assets—and what happened to the evidence behind each research decision.
Manual entries only. Virtual values test research decisions; they are not trading instructions.
Check the evidence behind your open positions, then choose the next research question.
Coverage describes what can be researched reliably. It does not label a position safe or risky.
Reports
Choose an asset and a format. Sources and limitations stay attached.
Start here before opening the research tools. These short guides explain the language DYOR uses so the scores, risks, and evidence labels feel readable instead of mysterious.
Ask Buddy a plain-English research question.
Markets reward certainty theatre. DYOR exists to make careful doubt useful: separate a claim from its evidence, understand who benefits from the story, and know what could prove your view wrong.
It does not mean finding enough facts to justify a decision already made. Start with a question, then move through identity, movement, usage, project health, risk, and evidence.
The product turns fragmented signals into a plain-English research trail. Every score is a prompt to investigate, every conclusion carries limitations, and every read ends with a useful next check.
A DYOR term is a research cue, not an answer. Market Grip, Social Score, volatility, liquidity, confidence, and evidence all describe one part of the picture.
Crypto assets are internet-native assets recorded on blockchains. Some behave like monetary networks, some power applications, and some are mainly speculative attention markets.
Digital assets include crypto networks, stablecoins, tokenised assets, infrastructure protocols, governance tokens, NFTs, and crypto-linked public equities.
A stock is ownership in a company. A token may represent network usage, access, governance, collateral, or speculation, but it usually does not equal ownership in a business.
This worksheet stays in your browser. DYOR does not submit it or collect contact details.
Nothing is transmitted automatically.
SOL has a verified primary identity in DYOR’s curated registry, last verified 2026-08-01. This static summary identifies the approved research surfaces; live observations load separately and retain their own timestamps and limitations.
Eligible evidence: Market observations, Official activity, Protocol fundamentals.
Coverage is capability-specific. A verified identity does not itself establish a market conclusion, protocol use, token value, or investment suitability.