VisionX Lab

AI-powered experimentation, analytics and competitive intelligence platform.

VisionX Lab is an AI-powered experimentation and analytics platform focused on rankings, competitive systems, market intelligence and digital infrastructure: rankings, picks, signals, performance tracking and AI-assisted market experiments.

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24/7 live infrastructure

  • ✓ 24/7 live competition engine
  • ✓ Real-time asset rankings
  • ✓ Continuous leaderboard tracking
  • ✓ AI-assisted market experiments
  • ✓ Shared secure account infrastructure

Featured Adaptive Decision Intelligence™

Meet VisionX Adaptive Decision Intelligence™.

Quant-driven • Self-learning • Explainable

VisionX AI is a public long/short portfolio research engine competing inside VisionX Lab. Twelve modular production factor calculators analyse momentum, trend, trend acceleration, extension, liquidity, market quality, risk control, supply quality, rank, relative strength, momentum exhaustion and mean reversion risk to generate Expected Alpha portfolios.

Engine
VisionX AI v5.6.0
VADIE Memory Confidence Layer
Mode
Long/Short
Latest scored result
C127 · -6.85% · #1
Status
Research Online
Published Research
68 Public Research Reports
Latest Portfolio #161 · VisionX AI v5.6.0
Browse Research Library
View AI Engine Profile Research Library Open Competitions

Live engine stack

Portfolio research pipeline

  • ✓ Market & Factor Intelligence
  • ✓ Historical Decision Memory
  • ✓ Memory Intelligence
  • ✓ Experience Intelligence
  • ✓ 12 Modular Factor Calculators
  • ✓ Expected Alpha Scoring
  • ✓ Portfolio Optimization
  • ✓ Decision Committee
  • ✓ Portfolio Meta Committee
  • ✓ Governance Board
  • ✓ Executive Engine
  • ✓ Decision Reflection Intelligence
  • ✓ Decision Evolution Intelligence
  • ✓ Decision Research Queue
  • ✓ Failure Attribution
  • ✓ Adaptive Learning

VADIE™ Decision Intelligence Architecture

Engineering a transparent autonomous decision intelligence system.

Adaptive · Explainable · Modular · Self-Learning

A transparent architecture overview showing the operational decision, memory, learning, governance and research systems behind the current VADIE™ engine and its controlled evolution roadmap.

Architecture v2.5 Engine v5.6.0 ● RESEARCH ONLINE
Architecture maturity
VisionX AI v5.6.0
VADIE Memory Confidence Layer
98%
Operational maturity of the current architecture. Future research and release milestones are excluded.

Foundation

100% complete
Operational
  • ✓ Core Portfolio Engine
  • ✓ Long/Short Decision Engine
  • ✓ Portfolio Optimizer
  • ✓ Confidence Calibration
  • ✓ Competition Integration

Decision Intelligence

100% complete
Operational
  • ✓ Expected Alpha Engine
  • ✓ Decision Committee
  • ✓ Portfolio Meta Committee
  • ✓ Governance Board
  • ✓ Executive Engine
  • ✓ Portfolio Risk Controls

Learning Intelligence

98% complete
In development
  • ✓ Historical Memory
  • ✓ Memory Intelligence
  • ✓ Experience Intelligence
  • ✓ Failure Attribution
  • ✓ Factor Learning
  • ✓ Factor Maturity Intelligence v2
  • ✓ Outcome Reconciliation
  • ◉ Adaptive Learning Maturity

Governance & Research Intelligence

96% complete
In development
  • ✓ Decision Reflection Intelligence
  • ✓ Decision Evolution Intelligence
  • ✓ Research Evidence Intelligence
  • ✓ Decision Research Queue
  • ✓ Research Command Center
  • ✓ Decision Evolution Diagnostics
  • ✓ Executive Research Readiness
  • ◉ Offline Research Validation

Modular Intelligence

97% complete
In development
  • ✓ Candidate Admission Module
  • ✓ Momentum Module
  • ✓ Trend Module
  • ✓ Liquidity Module
  • ✓ Market Quality Module
  • ✓ Risk Control Module
  • ✓ Supply Intelligence Module
  • ✓ Rank Intelligence Module
  • ✓ Relative Strength Module
  • ✓ Trend Acceleration Module
  • ✓ Extension Risk Module
  • ✓ Momentum Exhaustion Module
  • ✓ Mean Reversion Risk Module
  • ◉ Pump Risk Intelligence
Completed
  • ✓ Core Portfolio Engine
  • ✓ Long/Short Decision Engine
  • ✓ Portfolio Optimizer
  • ✓ Candidate Admission Module
  • ✓ Expected Alpha Engine
  • ✓ Decision Committee
  • ✓ Portfolio Meta Committee
  • ✓ Governance Board
  • ✓ Executive Engine
  • ✓ Historical Memory
  • ✓ Memory Confidence Layer
  • ✓ Decision Experience Intelligence
  • ✓ Decision Reflection Intelligence
  • ✓ Decision Evolution Intelligence
  • ✓ Decision Research Queue
  • ✓ Research Evidence Intelligence
  • ✓ Research Command Center
  • ✓ Research Lifecycle Board
  • ✓ Decision Evolution Diagnostics
  • ✓ Executive Research Readiness
  • ✓ Validation Intelligence
  • ✓ Failure Attribution
  • ✓ Factor Learning
  • ✓ Factor Maturity Intelligence v2
  • ✓ Sample-Aware Evidence Confidence
  • ✓ Modular Momentum
  • ✓ Modular Trend
  • ✓ Modular Liquidity
  • ✓ Modular Market Quality
  • ✓ Modular Risk Control
  • ✓ Modular Supply Intelligence
  • ✓ Modular Rank Intelligence
  • ✓ Modular Relative Strength
  • ✓ Modular Trend Acceleration
  • ✓ Modular Extension Risk
  • ✓ Modular Momentum Exhaustion
  • ✓ Modular Mean Reversion Risk
Current Sprint
  • ◉ Architecture v3.0 Master Pipeline
  • ◉ Unified Homepage Intelligence Flow
  • ◉ Competition Experience Integration
Next Milestones
  • ○ Offline Research Validation
  • ○ Historical Decision Replay
  • ○ Scenario Simulation Engine
  • ○ Adaptive Confidence Calibration
Future Research
  • ○ Multi-Agent Decision Intelligence
  • ○ Monte Carlo Simulation Engine
  • ○ Self-Healing Intelligence
  • ○ Autonomous Strategy Evolution

VADIE™ Master Intelligence Pipeline

One continuous path from market intelligence to controlled engine evolution.

A unified Architecture v3.0 preview showing how VADIE™ observes markets, constructs decisions, competes, learns from outcomes and generates human-controlled research and release evidence.

ARCHITECTURE v3.0 PREVIEW CURRENT v2.5 ENGINE v5.6.0
Unified Intelligence Flow
VisionX AI v5.6.0
VADIE Memory Confidence Layer
Operating State
● RESEARCH ONLINE
01
ACTIVE

Market Intelligence

Transforms live market and asset-universe data into explainable factor intelligence.

  • ● Market Data
  • ● Market Context
  • ● Asset Universe
  • ● 12 Production Factor Calculators
  • ● Candidate Admission
02
ACTIVE

Decision Intelligence

Ranks long and short candidates and constructs risk-aware Expected Alpha portfolios.

  • ● Expected Alpha Scoring
  • ● Long/Short Ranking
  • ● Portfolio Optimizer
  • ● Correlation Control
  • ● Risk Control
03
ACTIVE

Memory Intelligence

Connects current decisions with reconciled historical outcomes and repeated patterns.

  • ● Historical Memory
  • ● Memory Confidence Layer
  • ● Memory Intelligence
  • ● Experience Intelligence
  • ● Similarity Analysis
04
ACTIVE / OBSERVER

Governance Intelligence

Independently evaluates decision consistency, portfolio quality and governance telemetry.

  • ● Decision Committee
  • ● Portfolio Meta Committee
  • ● Governance Board
  • ● Executive Engine
  • ● Executive Assessments
05
ACTIVE

Competition Intelligence

Connects the research portfolio to transparent live human-versus-AI competition evidence.

  • ● Competition Entry
  • ● Live Competition
  • ● Portfolio Scoring
  • ● Outcome Reconciliation
  • ● Validation Intelligence
06
COLLECTING

Outcome & Learning

Converts competition outcomes into failure attribution, factor learning and adaptive memory.

  • ● Outcome Intelligence
  • ● Failure Attribution
  • ● Factor Learning
  • ● Factor Maturity Intelligence v2
  • ● Adaptive Learning
07
OBSERVER

Research Intelligence

Generates evidence-driven observer-only research signals and controlled experiment proposals.

  • ● Decision Reflection
  • ● Decision Evolution
  • ● Research Evidence Intelligence
  • ● Decision Research Queue
  • ● Decision Evolution Diagnostics
  • ● Executive Research Readiness
08
HUMAN CONTROLLED

Controlled Release

Separates autonomous research from deliberate offline validation and human-approved releases.

  • ● Human Review
  • ● Offline Research Validation
  • ● Historical Decision Replay
  • ● Release Candidate
  • ● Human Release Approval
  • ● Future Engine Release
Market Intelligence Decision Intelligence Memory Intelligence Governance Intelligence Competition Intelligence Outcome & Learning Research Intelligence Controlled Release
Architecture v3.0 is currently a homepage and information-architecture preview. It does not change portfolio selection, model weights, research status or production release behavior.

VADIE™ Autonomous Decision Intelligence

Multi-layer intelligence behind every AI portfolio.

No black box. Every VisionX AI portfolio follows a transparent research pipeline from market intelligence and historical memory to autonomous validation, live competition and adaptive learning.

● LIVE RESEARCH ARCHITECTURE
01
Market & Factor Intelligence
Twelve live factor calculators evaluate momentum, trend, trend acceleration, extension, liquidity, market quality, risk control, supply quality, rank, relative strength, momentum exhaustion and mean reversion risk.
02
Memory Intelligence
Historical outcomes are aggregated into shared observer-only intelligence for Meta, Governance and Executive.
03
Expected Alpha
Multi-factor scoring ranks long and short portfolio candidates.
04
Portfolio Construction
Risk, correlation and diversification shape the research portfolio.
05
Autonomous Validation
Independent intelligence layers review portfolio quality and readiness.
Decision Committee
LIVE
Reviews signal quality, conviction and internal decision consistency.
Portfolio Meta Committee
LIVE
Evaluates the portfolio as one combined long/short research decision.
Governance Board
OBSERVER
Monitors governance checks and records independent oversight telemetry.
Executive Engine
OBSERVER
Produces executive-level assessments without altering portfolio picks.

Autonomous research lifecycle

Market Data 12 Factor Calculators Candidate Admission Expected Alpha Portfolio Optimizer Historical Memory Memory Intelligence Experience Intelligence Meta Committee Governance Board Executive Engine Decision Reflection Intelligence Decision Evolution Intelligence Decision Research Queue Human Review Competition Outcome Intelligence Adaptive Learning

Continuous intelligence

  • ✓ Twelve modular production factor calculators
  • ✓ Explainable portfolio decisions
  • ✓ Independent validation telemetry
  • ✓ Live human versus AI competitions
  • ✓ Failure cause attribution
  • ✓ Adaptive factor learning

VADIE™ Learning Stack

From historical outcomes to decision evolution.

A transparent learning architecture that transforms competition outcomes into memory, experience and reflection, while decision evolution remains an observer-only research layer.

Evolution remains observer-only
01 · OPERATIONAL
Historical Memory
Stores reconciled competition outcomes and decision context.
02 · OPERATIONAL
Memory Intelligence
Aggregates similar historical decisions into shared intelligence.
03 · OPERATIONAL
Experience Intelligence
Identifies repeated success patterns and dominant failure causes.
04 · OPERATIONAL
Decision Reflection Intelligence
Audits alignment, warnings and tensions across decision layers.
05 · OPERATIONAL
Decision Evolution Intelligence
Generates observer-only research signals and offline experiment proposals from historical decision evidence.
06 · OPERATIONAL
Decision Research Queue
Stores live Evolution proposals for human review, offline testing and controlled future engine releases.

VADIE™ OS Research & Release Lifecycle

From autonomous research proposal to controlled engine release.

A human-controlled lifecycle that separates research generation, offline validation and production release. No Evolution proposal can alter the live engine automatically.

No autonomous production changes
VADIE™ OS
Decision Intelligence Operating System
Research Online
Current Engine
VisionX AI v5.6.0
Engine Release
VADIE Memory Confidence Layer
Operating Mode
Research Online
Decision State
Observer Controlled
Release Policy
Human Controlled
Architecture
v2.5
Research Intelligence
01 · OPERATIONAL
Decision Evolution Intelligence
Generates observer-only research signals and offline experiment proposals.
02 · LIVE TOOLING
Research Queue Synchronizer
Converts saved Evolution proposals into controlled queue records through an explicit write command.
03 · OPERATIONAL
Decision Research Queue
Stores synchronized research proposals, evidence, status and engine context for controlled human review.
Governance Layer
04 · HUMAN CONTROL
Human Review
Research proposals require explicit review before testing or release consideration.
05 · REQUIRED
Human Release Approval
A future production release remains subject to deliberate human approval.
Validation Layer
06 · PLANNED
Offline Validation
Proposed changes will be evaluated outside the production decision path.
07 · PLANNED
Historical Backtesting
Candidate improvements will be tested against historical competition evidence.
Release Management
08 · PLANNED
Engine Release Candidate
Validated improvements may become controlled release candidates with traceable evidence.
09 · FUTURE
Production Engine Release
Approved changes may enter a future VADIE™ engine release through the existing release-management process.
Decision Evolution Queue Synchronizer Research Queue Human Review Offline Validation Release Candidate Human Approval Future Engine Release
VADIE™ OS Status
Current operational, human-controlled and planned lifecycle state.
Human-controlled release path
🟢 Decision Evolution
Operational
🟢 Queue Synchronizer
Live Tooling
🟢 Research Queue
Operational
🔵 Human Review
Human Controlled
⚪ Offline Validation
Planned
⚪ Historical Backtesting
Planned
⚪ Release Candidate
Planned
⚪ Production Release
Future

Compete

Join market competitions, submit picks and track your rank.

Analyze

Use rankings, history and market data to evaluate performance.

Experiment

Build toward AI-assisted signals, experiments and analytics.