Data IntelligenceMARKET INPUTS
Multi-source observation across price, volume, depth, derivatives and on-chain activity.
Explore data →HONG KONG · DIGITAL ASSET RESEARCH
Research the market.Measure the risk.
0xNG studies digital asset markets through data, quantitative models and verifiable evidence. We do not predict one future; we build observable, falsifiable and reviewable scenario frameworks.
DATA FIRSTEVIDENCE FIRSTPROBABILITY THINKINGRISK FIRST
RESEARCH ENGINE / ACTIVEUTC+8 · HONG KONG
ETH / USDTMARKET OBSERVATION
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CONNECTING DATA FEED
24H HIGH—
24H LOW—
RESEARCH MODESCENARIO / RISK
PRICE ≠ CONCLUSIONDATA · STRUCTURE · RISK
PRICE / VOLUMEVOLATILITYLIQUIDITYFUNDING / OION-CHAIN FLOWMODEL RISK
0xNG DAO · OPEN RESEARCH DESK
Data, backtests and cases.All kept on the record.
DAO Journal preserves market data, model validation, strategy cases and risk reviews. It is a public record of how research is formed, tested, invalidated and revised.
Open DAO Journal →01 / BACKTEST
Backtests & Validation
Out-of-sample performance, robustness, costs and stress tests.
OPEN QUANT →02 / CASE REVIEWETH Strategy Cases
Prior conditions, triggers, outcomes and revisions.
OPEN CASE →03 / MARKET DATA24H Intelligence
Macro, ETF, on-chain, protocol and cross-asset variables.
OPEN INTELLIGENCE →04 / RESEARCH ARCHIVEMethod & Risk Files
Market structure, scenarios, risk and research iteration.
OPEN ARCHIVE →01 / RESEARCH ARCHITECTURE
One connected research system.
Institutional research is not a single indicator or a one-time directional call. 0xNG connects raw data, quantitative validation, market structure, scenario analysis and risk boundaries.
Every layer explains where the information comes from, how a view is formed and what would invalidate it.
Quant ResearchMODEL VALIDATION
Research hypotheses face out-of-sample testing, robustness checks and stress tests.
Explore quant →Market IntelligenceSTRUCTURE
Location, structure and relationships come before conditional market views.
Explore research →Risk ResearchBOUNDARIES
Model, liquidity, execution and tail risk are defined before opportunity.
Explore risk →Research ArchiveVERSIONED OUTPUT
Reports retain IDs, dates, status and Revision / NG histories.
Open archive →02 / RESEARCH INSIGHTS
Current work. Permanent record.
Research is organized by identifier, type, revision and status. Framework pages do not invent live conclusions; completed work documents sources, time horizon, hypotheses and invalidation.
ETH Market Structure Research Framework
A multidimensional framework spanning price, volume, volatility, funding, open interest and liquidity.
OPEN REPORT →Trend & Momentum Model Validation
Out-of-sample, robustness and stress testing.
OPEN REPORT →Liquidity Stress Framework
Model and execution limits in dislocated markets.
OPEN REPORT →03 / EVIDENCE MODEL
From evidence to Revision / NG.
Every public study should answer: what did we observe, what supports it, how are scenarios weighted, when does it fail and how is it revised afterward?
01OBSERVE
02HYPOTHESIS
03VALIDATE
04SCENARIO
05RISK
06REVIEW / NG
Probability is a scenario weight under current evidence, not a promised win rate.
When structure changes or assumptions fail, the prior view must be reassessed.
04 / RISK FIRST
What ifwe are wrong?
Being directionally right does not make an exposure safe. Leverage, liquidity, slippage, model error and structural breaks can all separate theoretical outcomes from execution.
Does the model survive out of sample?MODEL RISK
Can it execute when depth deteriorates?LIQUIDITY
Are cost, latency and slippage included?EXECUTION
What invalidates the original view?INVALIDATION
What is the loss in an extreme path?TAIL RISK
05 / FAQ
Understand the research boundary.
Is 0xNG an exchange or signal service?
No. 0xNG publishes Market Intelligence, Quant Research, Risk Research, Scenario Analysis and Research Insights. We do not offer copy trading, VIP signals or return promises.
Is probability the same as a real win rate?
No. It is a relative scenario weight under known data and assumptions. It cannot replace statistical validation or risk control.
Why must a report define invalidation?
Every view can fail. Explicit invalidation lets research respond to new evidence instead of defending an old position.
Does backtesting predict future performance?
No. It must still face out-of-sample performance, parameter sensitivity, costs, slippage, liquidity and changing market regimes.
How are reports updated?
Reports retain their ID, date, revision and status. Material changes enter Revision / NG while earlier versions and reasons remain visible.
Is public content investment advice?
No. It is general market research, information and education, not a personal recommendation, trade instruction or suitability assessment.
RESEARCH ENQUIRIES · HONG KONG
Research dialogue and editorial collaboration.
We welcome professional conversations around digital asset market structure, data methodology, quantitative validation and risk research. Use the official 0xNG contact channel.
OFFICIAL CONTACT