About Us
QuanTradeX is a privately funded quantitative trading firm dedicated to advancing research and achieving excellence in the financial markets.We operate across all asset classes through the use of in-house trade execution strategies. We combine Statistics, artificial intelligence, mathematical models and automation with advanced financial engineering to capture opportunities.
Our proprietary trading algorithms are built on rigorous research and systematic analysis, enabling us to generate consistent returns across diverse market conditions.
As an emerging leader in AI-driven trading, we maintain a decisive competitive advantage through our agile approach and continuous innovation. Our commitment to excellence and adaptability allows us to thrive in evolving market environments, as demonstrated by our strong track record of performance and sustained growth.
Our Numbers
70 %
Profit Probability
with Risk Management
10
Years of experience
Decades of financial wisdom
35 %
Increase in revenue
Proven strategies that boost bottom line
Trading
Quantitative Trading
Quantitative trading represents a sophisticated approach within financial markets, leveraging mathematical and statistical analysis to identify trading opportunities. This methodology relies on complex computational models that process market data to generate trading signals and execute transactions.
Foundation
At its foundation, quantitative trading primarily analyzes two key data components: price movements and trading volumes. These fundamental inputs drive the mathematical models that form the basis of trading decisions. While the field demands significant expertise, it offers substantial opportunities for traders who can master its complexities.
Skills and Strategy
Becoming proficient in quantitative trading requires developing a comprehensive skill set. Practitioners must excel in algorithm development, return analysis, and strategy optimization. Our platform supports this professional development by providing essential resources, including extensive market data access, detailed documentation, and a collaborative community forum. These tools enable traders to refine their modeling techniques and exchange strategic insights with fellow practitioners.
The strategy predominantly focuses on short to medium-term trading horizons, where numerous opportunities exist for well-designed quantitative approaches to succeed. With proper dedication to learning and applying these sophisticated techniques, traders can effectively participate in this advanced segment of quantitative finance.
Founder & CEO
Inshu is the founder and visionary behind QuanTradeX, where he merges cutting-edge AI with the world of derivatives and equity trading. With a sharp focus on building fully automated, end-to-end algorithmic strategies, he is dedicated to maximizing returns while managing risk with precision. Backed by 15 years of leadership in Data Science and AI across global banking and financial services (Ex-VP at MSCI and Scotiabank), Inshu combines technical depth with market insight. He holds a Bachelor’s degree in Engineering and a Master’s in Analytics and Finance from Queen’s University, Canada.
A true entrepreneur at heart, Inshu is also an active angel investor, scouting and backing disruptive startups poised for high growth. His portfolio currently spans innovative ventures in aerospace and solar energy. When he's not trading or investing, Inshu is exploring new countries (18+ and counting), hitting the lawn tennis court, or finding balance through daily yoga practice.
