VRG Asset Management is a research-driven proprietary trading firm blending decades of financial market experience with custom technologies and machine learning.

EdgeAlert is a powerful tool for equity investors, offering them the means to elevate their returns while mitigating performance volatility. With precision and clarity at its core, EdgeAlert equips investors with actionable insights delivered through binary signals, enabling them to make informed decisions about adjusting their exposure to specific equities.

11Edge is a dynamic and forward-thinking technology company.We constantly push boundaries to deliver novel and valuable products.11Klear - an innovative proof-of-delivery software service - is the most recent addition to our diverse portfolio. This game-changing application is now available in several countries.

ShapeVision Inc. is developing image processing technologies and active safety systems for Automatic Driving System (ADS) and Advanced Driver Assistance Systems (ADAS).The Drive State Complexity Metric (DSCM) is an innovative active safety application for ADS and ADAS developed by Shapevision. DSCM informs the vehicle control system when the complexity of the driving environment exceeds the boundary for safe operation, the operational design domain (ODD) limit.

11Trax is doing pioneering work developing custom technologies for Detection Dog Engineering (DDE) applications. DDE is a specialized application of science, mathematical methods, and empirical evidence focused on the process of training, evaluating, and utilizing detection dogs.11Trax moves how we think about and understand detection dogs from the qualitative domain to the quantitative domain. This shift is a powerful proposition. It allows stakeholders to form a relevant performance expectation for detection dog-teams used to protect public safety and security. (E.g. Explosives detection)

In 2014 Peter founded In Canis Speramus (ICS) with a mission to develop performant working dogs and evidence-based detection K9's. At ICS, Peter’s responsibilities include research and development as well as hands-on dog work, developing a stable of Belgian Malinois and other working breeds in the ICS program.Peter’s research and development activities focused on evidence-based training methodologies, development of customized data collection technologies and performance analytics for mission-critical detection dogs.

Peter was responsible for managing an investment portfolio consisting of fully automated, semi-automated, as well as discretionary trading strategies. In addition, he was a key member of the Research and Development team and a Chief Investment Strategist for MSTAR Capital, Apollo’s parent companyResponsibilities:o Member of the Management Teamo Discretionary portfolio management: Portfolio of Equity, Futures and Currency exposureso Real time strategy operation and risk managemento Member of R&D evaluations group: Proof of concept reviewso Member of Strategy evaluations group: Deployment and post-deployment reviewso MSTAR Capital risk management and reporting Key Successes:• Discretionary portfolio produced a verified ‘alpha’ return outperforming the S&P 500 between 2009-2013 while maintaining a low ‘beta’ correlation.• Authored and implemented the Apollo Risk Management Plan

The Apollo FEL’s research and development mission was to develop a collection of quantitative trading strategies. Peter lead the Financial Engineering Laboratory managing a multidisciplinary team of highly qualified professionals with backgrounds in mathematics, statistics and engineering. Responsibilities:o Quarterly planningo Managing a highly qualified multidisciplinary teamo R&D proof of concept reviewso Strategy reviews and stress testingo Development of Risk Management Plano Systems and Infrastructure reviewsKey Successes:o Documented R&D and strategy life cycle processo Defined a Risk Management Plan identifying key risks and mitigation tacticso Managed the strategy portfolio in the 2008 financial crisis.

Peter was appointed Chief Investment Officer and Head of Quantitative Development of the newly formed Quantitative Asset Management Group Inc. (“QAMG”) – an investment management company created by VRG Capital to market the quantitative FX applications and strategies developed by Peter. An experienced team of senior industry professionals was assembled to fulfill this mandate.Responsibilities:Real-Time Application and Monitoring of Quantitative Trading Systems:a) Design, implementation and monitoring of FX trading systems and positions.b) Established back-office standard operating procedures ensuring segregation of duties and reporting.c) Systems and database administration.d) Development of backup/fail-over systems and contingency plans.Research and development of derivative applications of the core methodology:a) Development and testing of decision algorithms.b) Design and development of system architecture.Key Successes:• Managed Futures Association “MFA” selects QAMG’s strategy as one of the “Top New Strategies” in North America to be profiled at its Conference held in Chicag0 (2002)• Creation of a Bermudian Offshore Fund to service one of North America’s largest Pension Funds (2001)• Creation of a Canadian Limited Partnership to manage third-party assets (2000)

In 1996 Peter founded AFI with a mission to create quantitative FX trading methodologies. AFI developed two models based on a simple and effective hypothesis – path dependent stability conjecture:Key Accomplishments:• A three year audited track record supported the core hypothesis.• In 2000, VRG Capital, a Toronto based Merchant Bank, acquired a majority interest in AFI that led to the creation of the Quantitative Asset Management Group Inc.

Upon his return from Tokyo, Peter was responsible for creating a new trading desk at Scotiabank's head office - Currency Derivates Trading. He led a small team of industry experts that significantly grew the departmental trading volume. In addition, he taught option theory and derivatives risk management courses for Scotiabank personnel and its clients.

Key Accomplishments• Significantly increased profitability.• Increased trading volumes from 2 to 30 Billion in 18 months.• Implemented a high turn over trading support and delivery system.