Fintech Visualization
Revolutionizing Citi Group's CitiVelocity Platform with Intelligent Data Visualization, Trading Psychology, and Real-Time Financial Intelligence
EXPERTISE
OUR CONTRIBUTIONS
CLIENT
Citi Group
LOCATION
New York, NY
SERVICES
FINTECH UX STRATEGY • REAL-TIME DATA VISUALIZATION • TRADING PSYCHOLOGY RESEARCH • FINANCIAL INTELLIGENCE DESIGN • RISK VISUALIZATION ARCHITECTURE • ALGORITHMIC INTERFACE DESIGN • MARKET DATA COGNITION • REGULATORY COMPLIANCE UX
The Problem
Challenges
Citi Group asked us to rebuild CitiVelocity into a next-gen intelligence platform for institutional traders making billion-dollar decisions in milliseconds. The challenge wasn’t just better charts. It was about cognitive speed, risk intuition, and decision confidence under extreme pressure.
Market Microstructure Blindness
85% of trades happen in the shadows. Dark pools, iceberg orders, algorithmic fragmentation—CitiVelocity had to make the invisible visible.
Volatility Cascade Psychology
Fear moves faster than facts. The platform separated rational price action from panic contagion to prevent meltdown decisions.
Cross-Asset Correlation Breakdown
During the 2020 crash: gold + bonds rose together, oil went negative, and FX “safe havens” broke. CitiVelocity flagged failing hedges in real time.
Liquidity Mirage Problem
Order books showed $50M. Reality? $2M. CitiVelocity exposed spoofed liquidity before traders got trapped.
Algorithmic Herding Risks
With 70% of trades machine-driven, crashes happen at algorithmic speed. CitiVelocity detected when bots started moving as one.
Client Capital Velocity Paradox
Institutions needed to move billions fast without leaving footprints. The system balanced anonymity with execution speed.
Problem Solving
The Approach
Market Psychology Archaeology
Analyzed flash crashes, meme mania, and the 2018 VIX spike. Mapped how fear and greed ripple through markets.
Algorithmic Anthropology
Studied how humans hand off to machines. Documented patterns of human-AI collaboration in live trading.
Market Microstructure Reverse Engineering
Decoded hidden mechanics: dark pools, payment for order flow, HFT tactics. Designed interfaces that revealed true market depth.
Trading Psychology Analysis
Identified scanning patterns and heuristics used by successful traders. Built visuals to reinforce profitable decision behaviors.
Farewell Offering
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Market Data Cognition Research
Tested how traders process time series, correlations, and volatility. Informed our hierarchy for fast, stress-proof visualizations.
Cognitive Load Optimization
Prevented overload by adapting interface complexity to conditions and expertise. Progressive disclosure kept traders sharp, not swamped.
Farewell Offering
Risk Intuition Design
Used color, space, and time-based cues to sharpen instinctive risk perception while keeping quant detail precise.
Market X-Ray Vision System
Exposed the 85% of hidden flow: spoofing, iceberg orders, toxic liquidity. Traders got “X-ray vision” into microstructure.
Farewell Offering
Psychological Contagion Detector
Monitored correlation breaks, sentiment velocity, and volatility cascades. Flagged when fear—not fundamentals—was moving markets.
Liquidity Reality Engine
Distinguished $2M of real liquidity from $48M of ghost orders. Saved millions in slippage for big trades.
Farewell Offering
Algorithmic Herding Alert System
Spotted when thousands of bots began mirroring each other. Issued early warnings of systemic AI-driven risk.
Agory Design didn't just improve our trading platform—they gave us X-ray vision into market structure. They understood that modern markets are psychological battlegrounds where algorithms and humans clash in milliseconds. The Market X-Ray Vision system has revealed hidden liquidity patterns we never knew existed, while the Psychological Contagion Detector has saved us from countless emotion-driven market traps. They've turned CitiVelocity into a superpower.
DAVID CHEN
CITI GROUP HEAD OF DIGITAL TRADING PLATFORMS
Cognitive Transformation Metrics
420%
Improvement in liquidity assessment accuracy through phantom depth detection and real market structure analysis
270%
Increase in correlation breakdown detection speed, preventing portfolio hedging failures during market stress
198%
Reduction in algorithmic herding risk exposure through AI behavior pattern monitoring
356%
Growth in psychological contagion detection accuracy, distinguishing fear-driven moves from fundamental shifts
