Order Flow
Executed buying and selling pressure
DepthLume brings real-time order flow, market context and explainable scenario analysis into one professional Windows workspace.




DepthLume organizes distinct market inputs without hiding contradictions. You see what supports a context, what weakens it and whether the underlying data is fit for review.
Executed buying and selling pressure
Aggressive flow across time
Participation and positioning shifts
Perpetual market imbalance
Forced activity and stress events
Context for changing conditions
Unusual size and behavior patterns
Inputs are combined into context—not compressed into a black-box promise.
DepthLume separates directional context from action state, then exposes the reasoning that produced it.
Context strength describes alignment of observed evidence. It is not a probability of profit.
EvidenceObservable factors supporting the current context.
ConflictsSignals that disagree or reduce confidence in interpretation.
RisksConditions that make the context fragile or unsuitable.
InvalidationWhat would make the working interpretation no longer valid.
Data qualityCoverage and health of the information behind the view.
Create a scenario, observe its full lifecycle and evaluate what actually happened—without rewriting the thesis after the fact.
Record context, evidence, conflicts, risks and invalidation before outcome review.
Watch how the scenario evolves as the market regime and available evidence change.
Examine false positives, compare regimes and build future calibration from real observations.
Focused tools for reading market behavior, reviewing context and preserving the evidence behind every conclusion.
Study executed market activity beyond price alone.
Inspect resting liquidity and the sequence of public trades.
Track aggressive participation and cumulative imbalance.
Add derivatives positioning and perpetual-market pressure.
Surface unusually large public-market behavior for review.
Investigate iceberg-like behavior and defended price areas.
Bring evidence, conflicts, risks and quality into one view.
Initialize research context from available historical data.
Observe scenario lifecycles and review outcomes carefully.
Capture structured datasets for later analysis and research.
Review context records without presenting them as trade advice.
Inspect data health and reproduce recorded behavior deterministically.
Real application captures will replace these reserved frames as interface assets are approved.




A deliberate five-step workflow keeps analysis separate from execution.
Use the distributed Windows desktop build when beta access is available.
Choose from the markets and data sources confirmed for your build.
DepthLume organizes public real-time data locally for analysis.
Review evidence, conflicts, risks, invalidation and data quality together.
Use the analysis as research input—not as financial advice or an instruction.
A focused local workspace for market-data processing and research. Distributed builds are intended to run without a separate Python installation.
Closed BetaDepthLume is being prepared for limited beta evaluation. Access timing, supported markets and system requirements are still being confirmed.
Join Closed BetaCurrent product scope and limitations for this early website iteration.
No. DepthLume is a market analytics and research application. It does not place or manage trades.
No trading-account connection is required. DepthLume is designed to analyze public market data; exact supported data sources will be confirmed for beta.
No. DepthLume provides explainable market context for research. SETUP, WAIT, LONG or SHORT context labels are not instructions or guarantees.
The initial focus is cryptocurrency futures markets. The confirmed exchange and symbol list will be published before beta access expands.
DepthLume is a Windows desktop application. Other operating systems are not announced for this iteration.
Distributed Windows builds are intended not to require a separate Python installation.
Historical Bootstrap is part of the product scope. Availability, depth and source coverage will be documented before release.
It records scenario lifecycles, reviews outcomes and false positives, and supports comparison across market regimes using observed data.
No. Markets involve substantial risk. Analytics can be incomplete or wrong and cannot guarantee any result.
The update process will be confirmed before public release. No delivery channel is promised in this prototype.