01 / Crypto Scope
Crypto markets add leverage, fragmentation, and continuous trading to LDRG research.
LDRG studies crypto where the market data is suitable for responsible review. Crypto perpetual futures are a natural starting point because they combine order-book behavior with leverage, funding pressure, forced-risk events, and around-the-clock trading.
This page does not claim complete coverage of every exchange, digital asset, decentralized venue, or related market activity. It describes the public research direction and the boundaries LDRG applies before any market output is treated as ready.
The crypto scope starts with centralized exchange order books and crypto derivatives because those markets expose visible liquidity, leverage, funding pressure, basis behavior, and venue fragmentation. The same asset can trade differently across venues, which makes crypto useful for studying whether liquidity stress is local, shared, or spreading.
Crypto also changes the time structure of market research. It trades through weekends, funding windows, regional sessions, exchange interruptions, and sudden volatility regimes. LDRG treats those conditions as part of the market state rather than background noise.
Public crypto coverage is not presented as surveillance, participant attribution, or a claim of complete venue visibility. It is a bounded research scope for studying how liquidity appears, disappears, absorbs pressure, reforms, and reacts across crypto market structure.
02 / Crypto Families
Crypto markets are grouped by risk function and liquidity behavior.
A crypto market is not treated as a generic price chart. Derivative structure, spot reference behavior, funding cycles, exchange rules, liquidity depth, fragmentation, and continuous trading conditions all change how a footprint should be interpreted.
Pressure can build through leverage, fragmented liquidity, funding, basis, spot references, and venue-specific behavior.
Funding cycles, open interest, basis pressure, contract rules, and forced-position stress.
Funding imbalance, perp/spot divergence, carry pressure, and short-horizon crowding.
Cash-market depth, index pressure, lead-lag behavior, and confirmation or contradiction against derivatives.
Spread behavior, visible depth, replenishment, withdrawal, sweeps, and short-horizon book stress.
Forced-position pressure, cascade risk, volatility jumps, and liquidity gaps after aggressive flow.
The same asset can show different liquidity, rules, interruption risk, and reaction speed by venue.
Thin books, fast repricing, spread expansion, failed continuation, and regime-dependent behavior.
Potential research context where reliable data supports responsible review alongside exchange behavior.
Weekend trading, regional handoffs, funding windows, exchange interruptions, and liquidity resets.
03 / Crypto Derivatives
Crypto perpetual futures expose leverage and pressure cycles.
Crypto derivatives are useful to LDRG because they connect order-book behavior with leverage, funding pressure, open interest, basis movement, and forced-position stress. That makes them closer to futures-style research than spot-only crypto price review.
The public research interest is not the contract label by itself. The interest is how leverage and funding conditions change visible liquidity: when depth thins, when pressure becomes crowded, when the book absorbs aggressive flow, and when later reaction confirms or rejects the footprint.
LDRG treats derivative pressure as context that can strengthen, weaken, or invalidate a candidate liquidity state. It does not make a market output ready by itself.
04 / Exchange Order Books
Exchange books show the visible liquidity layer.
Centralized exchange books provide the visible depth, spread, trade, replenishment, and withdrawal behavior needed to study short-horizon liquidity dynamics in crypto.
LDRG reviews whether liquidity is stable, thin, reactive, or failing to reform after pressure. A visible book can show aggressive sweeps, passive absorption, replenishment failure, spread expansion, and venue-specific stress.
Public copy stays careful because visible order books are not complete market visibility. Hidden liquidity, participant identity, and account-level behavior are outside what public exchange-book language should claim.
05 / Spot And Index Context
Spot and index behavior help separate local stress from broader pressure.
Crypto derivatives often reference spot or index markets. LDRG studies whether those references confirm, delay, or contradict what appears in the derivative book.
If a perpetual future shows pressure but spot markets do not confirm, the footprint may be local to that venue or contract. If spot, index, and derivative markets move together, the footprint may represent broader liquidity stress.
This section is about market context, not a complete pricing model. Public language should explain why related market views matter without implying certainty about the next move.
06 / Venue Structure
Crypto venue fragmentation is part of the research problem.
The same crypto asset can trade across multiple venues with different liquidity, rules, interruptions, symbols, contract definitions, and reaction speeds. LDRG treats that fragmentation as part of the market state.
Venue structure helps explain why a footprint may appear first in one market, fail to transfer, or spread across related books. It also helps define when behavior is too venue-specific to generalize.
Public crypto coverage should therefore describe venue fragmentation as a research condition. It should not imply complete exchange coverage or universal behavior across all crypto markets.
07 / What LDRG Studies
Crypto research begins with observable market behavior.
- 01Order-Book Behavior
Depth, spread, trades, liquidity withdrawal, replenishment, and short-horizon pressure.
- 02Derivatives Pressure
Funding, open interest, forced-position stress, basis behavior, and contract rules where available.
- 03Spot And Index Context
Reference-market behavior, perp/spot divergence, index pressure, and confirmation or contradiction across venues.
- 04Venue Structure
Exchange rules, market interruptions, data gaps, fragmented liquidity, and symbol-specific conditions.
- 05Stress Events
Volatility jumps, forced-position pressure, funding windows, thin books, and liquidity resets.
- 06Candidate Footprints
Book thinning, imbalance, sweep exhaustion, replenishment failure, and liquidity stress.
- 07Reaction Review
What tends to happen after a measurable crypto liquidity footprint appears.
- 08Boundary Review
Where behavior weakens, fails, or depends on one venue or regime.
08 / Stress Windows
Crypto stress windows reveal how leverage and fragmentation interact.
Crypto markets can shift quickly around funding windows, forced-position events, venue interruptions, weekend liquidity, regional session handoffs, and volatility spikes. These windows change how a footprint should be reviewed.
Funding pressure can create crowding, divergence, and short-lived liquidity stress.
Forced-position pressure can accelerate moves and change replenishment behavior.
Continuous trading can expose thinner participation and different reaction speed.
Interruptions, symbol changes, and data gaps must be separated from real market behavior.
09 / Public Boundary
Crypto research is not the same as complete exchange surveillance.
Public LDRG crypto language stays focused on observable market behavior. It does not claim participant identity, account-level attribution, or complete visibility into hidden liquidity.
When deeper order-level evidence is needed, LDRG treats that as a separate data requirement instead of stretching what public order-book data can prove.
This boundary is especially important in crypto because the market is fragmented across venues, products, reference prices, and data conventions. A visible order book can support research into liquidity behavior, but it does not automatically explain who acted, why they acted, or whether hidden liquidity exists elsewhere.
Public LDRG crypto pages should therefore separate observable behavior from interpretation. Depth thinning, spread expansion, funding pressure, and venue divergence can be studied as market states without being presented as a complete view of all market activity.
The boundary also protects future research expansion. If LDRG later adds deeper order-level data, additional venues, or decentralized-market context, those additions should be described as new research coverage instead of being implied by the current public crypto scope.
Public crypto language describes visible market behavior: depth, spread, trades, pressure, withdrawal, and replenishment.
LDRG does not claim participant identity, account attribution, or motive from public order-book behavior.
Crypto behavior can differ by exchange, product, symbol, reference market, and data quality.
Deeper claims require deeper evidence; they are not inferred from visible exchange-book data alone.
10 / Coverage
Crypto coverage stays bounded by research evidence.
The crypto market family can be described as part of LDRG's research universe.
Data quality, market behavior, venue structure, and repeatability are still being studied.
A liquidity behavior has enough structure to be tracked as a candidate signature.
Only reviewed market states may appear as structured research or API output.