Quantitative Trading
Crypto & Traditional Markets

Advanced algorithmic strategies delivering exceptional returns and stable growth for institutional and high-net-worth investors in cryptocurrency and traditional markets

Multi-strategy

10-70% annual return across markets and strategies

Risk Management

Advanced risk controls and diversification strategies protect your capital

AI-Human

Empowering innovations through next-generation AI and expert-driven intelligence.

About Walras Research

Founded by former quantitative researchers from leading Wall Street firms and top hedge funds, with academic advisory support from faculty at HKUST, NUS, and Yale.

7+
Years of Experience
10-70%
Average Annual Return
5+
Institutional/Individual Clients

Our Mission

To democratize access to institutional-grade quantitative trading strategies, providing our clients with consistent, market-beating returns while maintaining the highest standards of risk management and transparency.

Innovation

Leveraging cutting-edge machine learning and AI to identify market inefficiencies and execute trades with precision.

Transparency

Real-time reporting and complete visibility into our trading strategies, performance metrics, and risk management processes.

Excellence

Continuous improvement and optimization of our strategies to maintain our competitive edge in dynamic markets.

Cross-Market

Deploying strategies across crypto, equities, and commodities to capture alpha across uncorrelated market regimes.

Our Trading Strategies

Diversified portfolio of quantitative strategies designed to maximize returns while managing risk across different market conditions.

Advanced Analytics

Real-time market analysis and sentiment tracking across multiple data sources

Risk Management

Sophisticated risk controls with dynamic position sizing and stop-loss mechanisms

High-Frequency Execution

Sub-millisecond execution across 3+ exchanges for optimal price discovery

Low Risk

Market Neutral Arbitrage

Exploits price discrepancies between related securities while maintaining market neutrality. This strategy provides consistent returns with minimal market exposure.

Medium Risk

Statistical Arbitrage

Uses advanced statistical models to identify and capitalize on mean-reverting relationships between assets. Combines quantitative analysis with systematic execution.

High Risk

CTA Strategy

Commodity Trading Advisor strategy that leverages trend-following algorithms across futures markets. Designed to capture momentum in various asset classes.

Get In Touch

Ready to maximize your crypto investments? Contact our team to discuss your portfolio and explore our exclusive trading strategies.

Contact Information

Office Hours

Monday - Friday9:00 AM - 6:00 PM EST
Saturday10:00 AM - 2:00 PM EST
SundayClosed

Send us a Message