NINJATRADER 8 / EXPLAINABLE ORDER FLOW

Pre-release validation

Depthra

See inside the move.

Depthra converts raw market activity into an explainable view of footprint, Delta, participation, trade size, profile, aggression, absorption, reaction, and follow-through—so the trader can judge whether effort is actually producing result.

Understand the flow behind price.

Review capabilities Contact about Depthra

Planned as MH Digital Lab's first commercial product. It is not currently available for purchase.

Depthra NinjaTrader order-flow overview — Real product evidenceReal Depthra test-build capture. Product screenshots on this page are used as product proof, not generated interface mockups.

Platform: NinjaTrader 8 on Windows
Analysis: Internal footprint and order-flow analytics
Decision model: Deterministic and explainable; no AI/ML analytical decisions
Execution: Manual trader decision and order execution
Footprint source: Built internally from accepted Last / Bid / Ask market events
Commercial status: Pre-release validation; not currently for sale

CORE PHILOSOPHY

Effort matters only when you compare it with result.

Large volume, large Delta, or a large trade is not a complete conclusion. Depthra reads participation together with price progress, reaction, and follow-through.

Measure the effort

Footprint activity, Delta-at-price, cumulative pressure, trade size, volume filters, Big Trades, profile location, and aggressive flow show where meaningful participation is occurring.

Judge the result

Depthra then asks whether that activity moved price efficiently, stalled, was absorbed, produced reaction, or achieved follow-through. The same positive Delta can mean something very different when price cannot advance.

ANALYTICAL LAYERS

One framework, multiple independent evidence layers.

Each layer can confirm, contradict, or qualify another. Depthra is designed to preserve that conflict instead of forcing every observation into a simple bullish or bearish label.

Footprint & Delta

Read activity inside each bar and at each price level.

Bid / Ask participation by canonical price level
Delta-at-price, bar Delta, and Delta Percentage
1 / 2 / 4 / 8-tick display aggregation without changing underlying analysis
Cumulative Delta and divergence context

Profile & market location

Keep order flow connected to where it occurs.

POC, VAH, VAL, VWAP, and broader session context
Prior and untouched market levels when available
POC migration and acceptance / rejection context
Location-aware interpretation rather than isolated markers

Participation & trade size

Separate ordinary activity from statistically unusual participation.

Average Trade Size (ATS), Buy ATS, and Sell ATS
Relative ATS against historical baselines
AVB directional volume balance from -100 to +100
Up to five independent price-level volume filters
Big Trade detection with size-scaled bubbles at true execution price

Aggression, absorption & reaction

Ask whether aggressive participants are succeeding.

Aggressive buying and selling classification
Inferred absorption when effort fails to produce progress
Separate aggressor, absorbing, and reaction sides
Continuation Pressure and Reaction Pressure
Follow-through evaluation across later price action

Adaptive Reaction Engine

Deterministic adaptation without a black box.

Independent baselines for Bar Volume, Price-Level Volume, Trade Size, and Aggressive Flow
Session-aware historical calibration
Robust statistics including median, MAD, percentiles, and winsorized mean
Current bar never trains the baseline that evaluates that same bar
No future-bar lookahead

Explainable scores & auditability

Summarize evidence without presenting a prediction.

Long, Short, and Range analytical scores from 0 to 100
Scores are evidence summaries—not probabilities or automatic signals
Reason-coded events and explainable score contributions
Historical reconstruction, Market Replay, and deterministic reproducibility
Structured recording and diagnostics for validation and research

READING WORKFLOW

From market location to a human trading decision.

Depthra is intended to be read as a causal sequence, not as a collection of isolated alerts.

01LocationEstablish profile, VWAP, prior levels, and the structural area where activity is occurring.
02ParticipationRead volume, footprint, Delta, trade size, and unusual activity at the actual price.
03AggressionIdentify which side is actively crossing the spread and how strong that activity is.
04ReactionCompare aggression with price progress to distinguish continuation, absorption, or adverse reaction.
05Follow-throughCheck whether later price action confirms or rejects the original order-flow evidence.
06ScoresUse Long, Short, and Range scores as explainable summaries of the evidence currently present.
07Trader decisionThe trader remains responsible for entry, stop placement, targets, risk, and execution.

REAL PRODUCT CAPTURES

The interface shown here is Depthra.

These screenshots come from the Depthra test workflow. Concept graphics are intentionally not used as software proof.

Depthra NinjaTrader chart with dashboard and Delta companion panel — Market overview
Dashboard context, price action, profile references, and the Delta companion panel in one trading workspace.

Depthra internal footprint and price ladder — Internal footprint
Canonical price levels with Bid / Ask activity and price-level participation inside each bar.

Depthra sell reaction example with footprint — Reaction in context
Aggressive participation is interpreted together with price response rather than from Delta direction alone.

Depthra volume zones and extensions — Volume-zone lifecycle
Meaningful participation can remain connected to later price interaction through persistent contextual zones.

Depthra Quick Settings interface — Transparent control
Quick Settings exposes visual filters and operational thresholds instead of hiding the analysis behind a black box.

Depthra trader-facing dashboard — Explainable dashboard
Market state, data quality, flow, adaptive context, and Long / Short / Range scores remain visible to the trader.

TRADER CONTROL

Manual, Recommended, and Adaptive operating modes.

Adaptive behavior remains bounded and visible. The trader can keep fixed thresholds, inspect recommendations without applying them, or allow selected domains to use adaptive effective values.

Manual

Configured thresholds remain authoritative. Depthra analyzes the market using the trader's fixed settings.

Adaptive

Selected analytical domains can use bounded statistical recommendations as their effective thresholds.

DATA INTEGRITY

Missing information is reported—not invented.

Depthra distinguishes available, degraded, unavailable, and non-directional information. Historical directional quality depends on what the data source actually provides.

Last / Bid / Ask market events are mapped to the relevant bar and canonical price level.
If Bid / Ask information is unavailable, directional metrics can be restricted instead of fabricated.
Historical directional accuracy depends on the data provider and Tick Replay availability.
Completed observations build historical baselines; the forming bar is evaluated as a non-mutating preview.
Future bars never participate in the baseline used to judge the current observation.
Deterministic calculations support replay, reconstruction, regression testing, and audit trails.

PLATFORM & DATA

What Depthra requires.

Platform: NinjaTrader 8
Operating system: Windows
Chart: Normal NinjaTrader Minute chart; Depthra builds its footprint internally
Volumetric Bars: Not required to construct the internal Depthra footprint
Market data: Last / Bid / Ask information where the provider makes it available
Historical direction: Quality depends on provider history and Tick Replay availability
Execution: No automated trade placement; trader executes manually

Final installation, licensing, supported-data-provider, and commercial-release requirements will be published only after pre-release validation is complete.

COMMERCIAL STATUS

First planned release. Not yet for sale.

Depthra is planned as the first MH Digital Lab product to reach commercial release. The software is still in pre-release validation, so no purchase price, release date, or sales claim is published yet.

Contact about Depthra

Depthra FAQ

What is Depthra?

Depthra is an explainable order-flow analysis system for NinjaTrader 8. It turns raw market activity into footprint, Delta, volume, trade-size, profile, aggression, reaction, and contextual analytics.

Does Depthra place trades automatically?

No. Depthra is decision-support software. The trader remains responsible for entries, stops, targets, position risk, and order execution.

Does Depthra use AI or machine learning for its analytical decisions?

No. Its adaptive logic is deterministic and statistical. It uses completed historical observations to build bounded baselines and does not use the current bar or future bars to train the baseline judging that observation.

Does Depthra require NinjaTrader Volumetric Bars?

No. Depthra can run on a normal NinjaTrader Minute chart and builds its own internal footprint from accepted market events. Directional quality still depends on the market data available from the provider.

What do the Long, Short, and Range scores mean?

They are bounded 0–100 summaries of supporting analytical evidence. They are not probabilities, guaranteed outcomes, or automatic trade signals, and they do not need to sum to 100.

What happens when directional market data is missing?

Depthra reports reduced or unavailable directional quality instead of fabricating missing Bid / Ask information. Historical quality depends on the data provider and Tick Replay availability.

Can I control the adaptive thresholds?

Yes. Manual mode keeps fixed settings authoritative, Recommended mode calculates suggestions without applying them, and Adaptive mode can use bounded recommendations for selected analytical domains.

Can I buy Depthra now?

Not yet. Depthra is in pre-release validation and is planned as the first MH Digital Lab commercial product. No release date or price has been announced on the site.

Risk and responsibility

Depthra provides analytical software and decision support. It does not provide financial advice, guarantee a setup, predict an outcome, or remove market risk. Order-flow evidence depends on the quality and availability of market data, and the trader remains responsible for configuration, interpretation, risk management, and execution.

Risk disclaimer

DEPTHRA

Inspect the evidence before the release.

Review the real interface, analytical layers, data-quality boundaries, and workflow. If you want to discuss the upcoming Depthra release, contact MH Digital Lab.