Fusion of Finance With Science.
LCT is a quantitative trading technology firm built to help institutional funds scale using fully automated, data-driven portfolio strategies.
Subscription-Based Investing
Gain exclusive access to our premium QPI Algos trading strategies with a simple, subscription-only fee, offering a modern and efficient approach to investing.
LCT Automated
Access thousands of automated strategies with verified live track records. Activate them instantly for seamless, hands-off trading with simultaneous executions.
Why Algo Trading?
We believe that algorithms outperform discretionary methods in the long term. But don’t just take our word for it:
"Algorithmic trading has the potential to level the playing field for individual investors, enabling them to compete with large institutional players on equal terms."
"The beauty of algorithmic trading is that it removes human emotions from the equation, allowing for objective decision-making based on data and market patterns."
"Algorithmic trading is like having a team of tireless, disciplined traders working for you around the clock, always ready to capitalize on market opportunities."
"With algorithmic trading, we can uncover patterns and exploit market inefficiencies that would be impossible for human traders to detect."
Our Vision
To become a transformative force in the fintech industry through the fusion of data and quantitative methods, and set new standards for excellence in the dynamic world of financial markets.
Our Mission
To provide solutions for superior risk-adjusted returns by leveraging cutting-edge technology and data-driven quantitative strategies.
Our Values
Integrity
Innovation
Collaboration
We uphold the utmost standards of honesty, ethics, and transparency, guiding every action and decision we make.
We cultivate a dynamic culture of creativity and relentless improvement, embracing innovation as the driving force to effect transformative change.
We recognize that diverse perspectives and united endeavors pave the way for exceptional achievements.
Meet the Founder – CEO & Visionary Behind LCT’s Quantitative Trading Technology
Driven by Passion, Powered by Precision.
Lisa Chen is a seasoned entrepreneur, trader, and visionary fintech leader with over two decades of experience at the intersection of financial markets, quantitative technology, and business innovation.
Her career began in finance at age 21, when she became licensed through the Canadian Securities Institute and began executing trades across equities, options, fixed income, and mutual funds at a Canadian national brokerage firm. This early experience laid the foundation for her deep understanding of market mechanics and disciplined execution under pressure.
She later combined entrepreneurial drive with sharp operational instincts, helping scale a two-person venture into Canada’s largest distributor of sign and graphics technology, systems and supplies – earning her a finalist spot for the EY Entrepreneur Of The Year® awards.
Following the company’s acquisition and a brief retirement, Lisa returned to the markets to develop methodologies and fully automated algorithmic strategies. She went on to earn a Top 5 global ranking in one of the world’s most respected trading competitions – widely regarded as the gold standard in live trading since 1983, requiring full transparency and real capital. Her performance led to selection among a small group of elite traders whose verified strategies are tracked and followed through an institutional-grade auto-execution platform trusted by global investors.
Today, Lisa is the Founder & CEO of LCT, a quantitative trading technology firm powering institutional investment funds with fully automated, data-driven portfolio strategies. She leads a team of quantitative strategists and oversees the firm’s proprietary Quant Portfolio Intelligence (QPI) platform – used by licensed fund managers and professional investors to optimize performance, scalability, and risk-adjusted returns.
Outside the boardroom, Lisa is also a former race car driver with dozens of podium finishes across North America. Her high-performance mindset on the track mirrors her approach to trading and leadership – disciplined, data-driven, and relentlessly focused on execution.
Meet Our Team
Daniil Riabitskyi
Quant Research & Risk Manager
Daniil is a highly experienced professional with expertise in evaluating and optimizing trading strategies across various markets. With a background in quantitative, qualitative, and behavioral analysis, he develops advanced models and machine learning tools to assess thousands of strategies.
With a degree from Kharkiv Polytechnic Institute and over twelve years of trading experience, Daniil specializes in portfolio optimization and risk management. His proficiency in a variety of tools, allows him to extract, process, and analyze data to create robust financial models.
Formerly at Collective2 as their Quant Analyst, Risk Manager and Portfolio Optimization System Developer, Daniil has honed his skills in financial analysis and modeling. His passion lies in developing rule-based AI models, evaluating trading strategies, and constructing customized portfolios.
What is good risk management?
- It is when the outcome of one particular trade has no effect on the overall result.
- It is when a large series of losses does not cause heart palpitations.
- It is when a strategy with random entries crosses the 1,000-trades mark and is still in game.
Understand, calculate, minimize & manage risk to maximize opportunities for growth.
Andrii Vdovenko
Programmer & Quant Analyst
Andrii, a skilled developer at our company, programs tools for quant analysis and evaluation models and supports quality testing. With extensive experience in NinjaTrader Software, he has created and back tested over 500 trading strategies and indicators. Proficient in Ninja Trader, C#, and foreign exchange trading, he contributes to stock management, qualitative analysis, market research, and risk management. Committed to continuous learning, Andrii constantly refines his programming skills. He holds a Bachelor's of Engineering in CAD from the Kharkiv National University of Radio-electronics, enhancing his technical and analytical abilities.
Coding sorcerer, NinjaTrader aficionado. Crafting 500+ strategies and indicators. Together, let's redefine quant analysis with cutting-edge solutions.
Sean Chan
Director of Corporate Development
Sean brings a wealth of experience to his role in Corporate Development, honed through years of involvement in corporate finance advisory, financial modeling, and management consulting. His expertise spans business strategy and financial operations. Sean has worked extensively with single and multi-family offices, investment funds, and corporations, gaining valuable experience on both the buy-side and sell-side.
He brings a decade of experience in Quantitative Modeling, Machine-Learning, Genetic Algorithms, & Quantitative Finance.
In his current position, Sean plays a crucial role in a corporate finance advisory. His responsibilities include providing capital formation, project finance advisory, and assisting as a CFO. He also specializes in setting up and managing offshore family offices and corporate entities or Special Purpose Vehicles (SPVs). Sean's comprehensive background and strategic approach make him a key asset in driving corporate development initiatives.
Turning corporate puzzles into strategic masterpieces.
Nicholas Cheung
Director of Project Management
Nicholas leads our 'Traders & Investors Club' division, which has surpassed 1,800 members and is rapidly expanding. With over 8 years of experience in B2B sales, marketing, and consulting, he excels in project and product management, guiding diverse teams to achieve tangible results. His strategic planning ensures efficient project completion, fostering a productive, creative, and innovative environment.
Nicholas is skilled in business consulting and digital marketing, generating substantial revenues and successfully orchestrating campaigns across Hong Kong, Taiwan, and Canada. His achievements include increasing a SaaS product's user base by 70x and securing $20 million CAD in deals within the Food & Beverage and Hospitality sectors, showcasing his ability to cultivate valuable partnerships and drive business growth.
Recognized for his effective leadership and team-building, Nicholas mentors and resolves conflicts adeptly, employing systems thinking to manage people, processes, and value with clarity.
Fostering a collaborative environment that inspires innovation and success.
Advisory Board
Walter J. Gallwas
Walter J. Gallwas has over 20 years of experience in managed futures and alternative investments, driving innovation in trading systems. As President and Co-Founder of Attain Capital Management, he built the firm into a leader in alternative investments and launched Attain Portfolio Advisors in 2014 to give investors access to commodities-based managers. Now, as Managing Director of iSystems and iBroker, he leads the development of advanced trading technologies and drives platform growth. Earlier, Walter co-founded Striker Securities, focusing on third-party trading systems, and gained hands-on experience as a floor trader at the Chicago Board of Trade. In 1998, he co-developed the system-assisted trading model, revolutionizing automated trading by allowing clients to subscribe to trading signals. Walter strongly advocates for transparency and investor protection, especially in response to industry events like the MF Global and PFGBest bankruptcies. A graduate of Washington State University with a degree in Economics, Walter’s financial roots run deep, with three of his eight brothers also in the financial markets. He has previously been registered with the CFTC and affiliated with organizations like the NFA, MFA, and CBOT.
Paul Chow
Mr. Chow has served in the capital markets for more than 20 years providing strategic planning and corporate finance. He has also acted as a senior officer and board member of several private and publicly traded companies in North America. As an entrepreneur, his path has led him across many diverse sectors.
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