What is Parallax
AI-powered quantitative investment analytics platform combining University of Chicago finance theory with cutting-edge technology
Upload your portfolio. Get instant AI-powered insights. Parallax analyzes your existing investments and tells you exactly what institutional-grade portfolio managers would do differently.
Most investment platforms make you start from scratch. Parallax starts with what you already own, then shows you how to optimize it using the same quantitative methods that power billion-dollar endowments and hedge funds.
The Core Difference
"This stock is good"
- Generic stock recommendations
- No portfolio context
- Focus on individual securities
"Here's what's wrong with your current portfolio and how to fix it"
- Analyze your existing holdings
- Personalized optimization recommendations
- Portfolio-first approach
- Systematic improvement process
Why Portfolio-Based Analysis Matters
Since Harry Markowitz's groundbreaking 1952 Modern Portfolio Theory, we've understood a fundamental truth: individual securities must be evaluated in portfolio context, not in isolation.
A stock might look attractive on its own—strong fundamentals, compelling valuation, positive momentum. But if it's redundant with your existing holdings, adding it increases concentration risk without providing additional returns. You're taking more risk for the same exposure.
The Portfolio Paradox:
- A "great" tech stock might be terrible for a tech-heavy portfolio
- A "mediocre" defensive stock might be exactly what reduces your portfolio's volatility
- Five individually "good" stocks in the same sector create dangerous concentration
- Diversification isn't just holding many stocks—it's holding stocks that work differently
This is why Parallax starts with portfolio analysis, not stock picking. We show you what you're actually exposed to—hidden concentrations, factor imbalances, correlation risks—then recommend changes that improve your risk-adjusted returns.
Core Value Proposition
Systematic Intelligence: Built on decades of academic research from the University of Chicago, including Modern Portfolio Theory (Markowitz, 1952) and the Efficient Markets Hypothesis (Fama, 1960s), extended through contemporary factor investing research.
AI-Powered Analytics: Machine learning algorithms process vast datasets to identify investment opportunities and risk patterns that traditional analysis might miss.
Institutional-Grade Infrastructure: The same quantitative engine that manages institutional portfolios, now accessible through a user-friendly platform.
How Parallax Works
Parallax replicates how a real investment team operates – from research to portfolio construction to ongoing monitoring. The platform integrates seven core modules that work together to support your investment workflow:
1. Markets - Global Market Intelligence
Get an instant read on global indices, price movers, and momentum across sectors. Monitor trends, volatility, and sector shifts worth investigating. Available when analyzing individual stocks, with broader market-level reports currently in development.
2. Screener - Opportunity Discovery
Filter thousands of global equities by theme, factor exposure, valuation signals, or geography. Surface high-conviction ideas that align with your investment view using systematic criteria.
3. Builder - AI-Assisted Portfolio Construction
Transform investment ideas into portfolios using natural language descriptions. The AI interprets your thesis and generates allocation-ready portfolios with appropriate factor exposures and risk controls.
4. Analyzer - Comprehensive Performance Attribution
Upload your own portfolios or analyze Builder-generated ones. Get detailed breakdowns of factor exposures, concentration metrics, performance attribution, and scenario-based impact analysis.
5. Curated - Institutional Portfolio Ideas
Browse professionally designed thematic portfolios created by our investment team. Each portfolio comes with clear rationale, conviction levels, and institutional-quality research backing.
6. Watchlists - Personalized Market Monitoring
Group stocks by region, theme, or strategy and monitor changes in prices, ratings, and sentiment in real-time. Keep tabs on research ideas and pipeline candidates.
7. News - Market Intelligence
Access curated, portfolio-relevant news across global markets, sectors, and companies. Stay ahead of market-moving headlines without information overload.
The Parallax Difference
AI-Native Design
Unlike traditional platforms that bolt AI onto existing systems, Parallax is built AI-first. The platform is trained on proprietary data from live institutional portfolios, providing insights grounded in real market experience.
Unified Workflow
Parallax integrates signals, attribution, and scenario analysis into a single cohesive workflow. No need to jump between multiple tools or reconcile conflicting data sources.
Forward-Looking Insights
While most platforms focus on historical analysis, Parallax emphasizes predictive analytics and forward-looking risk assessment through its proprietary scoring system.
Institutional Methodology
The platform employs the same Five-Factor Framework used by Chicago Global's institutional funds: Value, Quality, Momentum, Defensive, and Size factors, refined through years of academic research and practical application. Parallax adds a sixth proprietary Tactical factor that exploits short-term market dislocations and liquidity events.
Technology Foundation
Parallax leverages advanced technology infrastructure designed for institutional investors:
- Real-Time Data Processing: Integration with multiple data providers for comprehensive market coverage
- Machine Learning Models: Continuous learning algorithms that adapt to evolving market conditions
- Alternative Data Integration: Satellite imagery, patent filings, supply chain analysis, and ESG metrics
- Cloud-Based Architecture: Scalable, secure computing infrastructure with institutional-grade security
Company Background
Chicago Global Heritage
Parallax is built by the team at Chicago Global, a quantitative investment management firm that combines timeless academic research with cutting-edge technology. Our investment approach is rooted in the University of Chicago tradition in finance, employing advanced machine learning and AI to identify market inefficiencies.
Founded: 2017
Headquarters: Singapore
Registration: UEN: 201734851Z
Membership: Singapore Fintech Association
Academic Foundation
Our investment methodology builds on decades of research from the University of Chicago Booth School of Business, home to numerous Nobel Prize winners who revolutionized modern finance:
- Harry Markowitz (Nobel 1990): Modern Portfolio Theory and mathematical optimization
- Eugene Fama (Nobel 2013): Efficient Market Hypothesis and factor investing foundations
- Richard Thaler (Nobel 2017): Behavioral finance and market inefficiencies
- Robert Merton (Nobel 1997): Options pricing and dynamic hedging frameworks
The University of Chicago's creation of the Center for Research in Security Prices (CRSP) in 1960 established the first comprehensive database of stock market information, enabling the rigorous empirical research that gave birth to modern quantitative finance.
Who Uses Parallax
Individual Investors: Get institutional-grade portfolio analysis delivered instantly and updated continuously.
Financial Advisors: Provide clients with sophisticated analytics and AI-powered insights to demonstrate value and improve outcomes.
Institutional Investors: Access the same quantitative engine that powers billion-dollar endowments, with enterprise-grade compliance and scalability.
Ready to Start?
Step 1: Go to parallax.chicago.global
Step 2: Upload your existing portfolio
Step 3: Get instant AI analysis and insights
No installation required. See the value in under 5 minutes.
Next Steps:
- Start immediately with our Quick Start Guide
- Understand the methodology behind the analysis: Investment Methodology
- Learn how we score investments: Factor Implementation