Data-driven market context
Crypto market research
TradingHub research is built around observable market data: price, funding, open interest, positioning and liquidations. The goal is to document conditions clearly without turning a market snapshot into a prediction.
Current TradingHub research tools
Daily Market Recap
Generate a market card from available price, range, volume, OI, funding and positioning data.
Recap archive
Verified dated observations only, with an explicit no-backfill policy.
Derivatives data hub
Connect OI, funding, liquidations and order flow in one reading sequence.
Weekly research checklist
A repeatable seven-step process with data-quality checks.
Market Radar
Rank derivatives conditions across markets using price, volume, open interest, funding and observed liquidations.
Data methodology
See exactly which values are observed, derived or estimated and the main limitations of each metric.
What qualifies as research on TradingHub
A useful market recap should add something verifiable: a measured change, a cross-market comparison, a clearly identified anomaly or a reproducible calculation. Generic “BTC could go up or down” commentary is not research. TradingHub therefore keeps the research area tied to data already exposed by the product.
Future dated reports should only be published when the underlying observations actually exist. The site does not create synthetic historical results simply to fill an archive.
Related TradingHub tools
Create and preserve an observable recap
Open the existing recap generator, select a market and review its measurement time, chart timezone, source labels and unavailable fields. Use its PNG download, Copy recap or Share controls to preserve the result. The export captures that observation; a link to the generator alone can show a different snapshot later.
For a dated comparison, retain both source snapshots, their times and timezones, symbols, contract types, units and venue coverage. State the measured difference and percentage change ((new ÷ old) − 1) × 100. Separate a reported change from a proposed explanation; price, coverage and USD valuation can change OI without the same change in contract count.
Dated entries are published only after the underlying observations and source coverage can be checked. Missing days stay missing; model assumptions cannot substitute for recorded data. For definitions, consult OI interpretation and data methodology.