Neural Orderflow v4
A Spatial–Temporal Engine for Orderbook Intelligence
Neural Orderflow v4 is not a trading indicator.
It is a market microstructure visualization and data engine, built to expose how price actually forms: through liquidity distribution, order interaction, and temporal deformation of the orderbook.
Where traditional tools compress the market into candles and indicators, Neural Orderflow v4 expands the market into space and time.
This tool was designed for one purpose:
to make liquidity observable, measurable, and exploitable.
From 2D Charts to Liquidity Geometry
Price does not move because a candle closes green or red.
Price moves because resting liquidity absorbs, shifts, collapses, or withdraws.
Neural Orderflow v4 renders the full crypto orderbook as a living 3D surface:
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Price levels become a spatial axis
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Order size becomes mass and height
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Bid/Ask imbalance becomes pressure
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Time becomes deformation, persistence, and decay
The result is a true spatial–temporal representation of the market, where liquidity is no longer abstract, but structural.
This is orderflow as geometry.
Ultra-Dynamic 3D Orderbook Heatmap
At the core of Neural Orderflow v4 lies an ultra-dynamic 3D heatmap of the orderbook:
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Full depth of market rendered continuously
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Quantities visible directly inside the surface
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Instant feedback on:
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New limit orders
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Cancellations
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Refills
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Liquidity migration
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Unlike static heatmaps, this surface moves, breathes, and reacts.
You don’t infer liquidity.
You observe it directly.
This makes it possible to identify, in real time:
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Strong passive absorption
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Fragile liquidity walls
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Spoof-like behavior
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Liquidity voids and low-resistance zones
Price Action Embedded Inside Liquidity
In Neural Orderflow v4, price is not overlaid on top of data.
Price is embedded inside the 3D liquidity field.
This is a critical shift.
You no longer watch price move over the orderbook.
You watch price interact with, compress into, or break through liquidity structures.
This allows precise reading of:
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Why price stalls
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Why price accelerates
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Why breakouts fail
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Why reversals occur without visible “patterns”
Price becomes a consequence, not a signal.
Advanced Orderflow & Execution Layer
Neural Orderflow v4 integrates a full orderflow execution layer:
Filterable Time & Sales
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Separate aggressive vs passive flow
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Filters by size, side, and intensity
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Direct correlation between market orders and orderbook response
This enables clear identification of:
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Absorption vs impact
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Initiative failure
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Exhaustion of aggression
Micro Timeframe Selection
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Ultra-short execution windows
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Tick-level observation of liquidity reactions
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Designed for scalping and HFT-style analysis
You don’t trade “setups”.
You trade micro-decisions inside market mechanics.
3D Footprint & Delta per Price
Neural Orderflow v4 includes a 3D footprint profile, fully integrated into the liquidity space:
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Volume extruded per price level
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Delta volume mapped spatially
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Immediate visibility of:
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Trapped traders
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Inventory shifts
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Absorption clusters
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Failed auctions
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This footprint is not a separate panel.
It is part of the same spatial logic as the orderbook.
Everything speaks the same language: structure.
Designed for Crypto Market Microstructure
Crypto markets offer:
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Continuous trading
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High volatility
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Dense orderflow
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Frequent liquidity manipulation
Neural Orderflow v4 is crypto-native, optimized for:
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BTC and high-liquidity pairs
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Rapid orderbook changes
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Aggressive flow dynamics
This makes it an ideal environment for:
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Advanced discretionary scalping
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Execution research
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Quantitative modeling
360° Orbital Visualization (Three.js)
The entire system is rendered using pure Three.js, with a 360° orbital camera:
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Rotate the market in real time
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Analyze liquidity from any angle
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Zoom into microstructure or step back to macro balance
This is not visual gimmickry.
Different perspectives reveal different structural truths.
A Tool Built for AI & Machine Learning
Neural Orderflow v4 is also a data-generation engine.
Its architecture is designed to:
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Represent the orderbook as structured 3D/4D data
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Capture temporal evolution of liquidity
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Generate datasets suitable for neural networks
Use cases include:
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Training models on absorption probability
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Detecting liquidity collapse before breakouts
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Learning spatial patterns of imbalance and defense
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Studying orderbook deformation as a predictive signal
Traditional OHLC data is a lossy compression.
Neural Orderflow v4 produces high-fidelity spatial–temporal orderflow data.
This bridges the gap between:
market microstructure research and applied machine learning.
Why Neural Orderflow v4 Matters
Most traders react to price after the fact.
Most systems are blind to why price moved.
Neural Orderflow v4 exposes:
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The constraints acting on price
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The forces shaping movement
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The intent hidden inside liquidity
It is a tool for those who want to:
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Understand markets structurally
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Trade execution, not patterns
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Build models grounded in real market mechanics
Neural Orderflow v4 is not about prediction.
It is about visibility.
When liquidity becomes visible,
decision-making becomes rational.
Welcome to orderflow intelligence.
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