Proprietary Generative AI Model
Like an LLM for market time series data
Traditional back testing relies on historical data, limiting your ability to anticipate evolving market dynamics. Our proprietary generative AI creates realistic, high-fidelity synthetic data, allowing traders to test strategies with unlimited, realistic market scenarios based on the current market regime.
Strategy Gym
Every trade influences the market
Our Strategy Gym lets you engage directly with our data generation process, giving you the most realistic sense of the market impact of your trades. Simulate market conditions, improve the expectation of your strategy’s performance and hyper-optimize its parameters.
Level 3 Data
Build on the most granular data
Research, develop and deploy your strategy on level 3 order book data, with queue tracking, timestamped at the nanosecond level. Directly impute your orders into the order book using our strategy testing engine for the most realistic simulation.
Team
Hover to see more
Andrew Dennehy
Co-founder, AI Researcher
Christopher Ley
Founding ML Engineer
Daniel Gold
Co-founder, CEO
Eran Cohen
Founding Engineer
Connect with us
Proprietary Generative AI Model
Like an LLM for market time series data
Traditional back testing relies on historical data, limiting your ability to anticipate evolving market dynamics. Our proprietary generative AI creates realistic, high-fidelity synthetic data, allowing traders to test strategies with unlimited, realistic market scenarios based on the current market regime.
Proprietary Generative AI Model
Like an LLM for market time series data
Traditional back testing relies on historical data, limiting your ability to anticipate evolving market dynamics. Our proprietary generative AI creates realistic, high-fidelity synthetic data, allowing traders to test strategies with unlimited, realistic market scenarios based on the current market regime.
Strategy Gym
Every trade influences the market
Our Strategy Gym lets you engage directly with our data generation process, giving you the most realistic sense of the market impact of your trades. Simulate market conditions, improve the expectation of your strategy’s performance and hyper-optimize its parameters.
Strategy Gym
Every trade influences the market
Our Strategy Gym lets you engage directly with our data generation process, giving you the most realistic sense of the market impact of your trades. Simulate market conditions, improve the expectation of your strategy’s performance and hyper-optimize its parameters.
Level 3 Data
Build on the most granular data
Research, develop and deploy your strategy on level 3 order book data, with queue tracking, timestamped at the nanosecond level. Directly impute your orders into the order book using our strategy testing engine for the most realistic simulation.
Level 3 Data
Build on the most granular data
Research, develop and deploy your strategy on level 3 order book data, with queue tracking, timestamped at the nanosecond level. Directly impute your orders into the order book using our strategy testing engine for the most realistic simulation.
Team
Daniel Gold
Co-founder, CEO
Master’s graduate with a degree in CAM from University of Chicago, with a foundation in economics and mathematics from Mount Allison University. As an M&A researcher at Constellation Software, Daniel sourced potential acquisitions, engaging CEOs, VC, PE and decision makers.
Daniel Gold
Co-founder, CEO
Master’s graduate with a degree in CAM from University of Chicago, with a foundation in economics and mathematics from Mount Allison University. As an M&A researcher at Constellation Software, Daniel sourced potential acquisitions, engaging CEOs, VC, PE and decision makers.
Christopher Ley
Founding ML Engineer
PhD in Electrical Engineering from University of Chile and an Honours Bachelor of Engineering in Mechatronics. Before his work with Lake Shore Dynamics, Christopher worked in both industry and academia as a deep learning researcher and engineer, including at the Centre for Mathematical Modelling and Continental AG. His research particularly focuses on time series modeling, culminating in a paper published in Signal Processing.
Christopher Ley
Founding ML Engineer
PhD in Electrical Engineering from University of Chile and an Honours Bachelor of Engineering in Mechatronics. Before his work with Lake Shore Dynamics, Christopher worked in both industry and academia as a deep learning researcher and engineer, including at the Centre for Mathematical Modelling and Continental AG. His research particularly focuses on time series modeling, culminating in a paper published in Signal Processing.
Eran Cohen
Founding Engineer
Graduated Summa Cum Laude from the Technion with a BSc in Computer Science. Eran is a Software Engineer with expertise in developing simulations, computer graphics frameworks, and high-performance distributed database systems, gained through his work at Rafael and later at Microsoft.
Eran Cohen
Founding Engineer
Graduated Summa Cum Laude from the Technion with a BSc in Computer Science. Eran is a Software Engineer with expertise in developing simulations, computer graphics frameworks, and high-performance distributed database systems, gained through his work at Rafael and later at Microsoft.
Andrew Dennehy
Co-founder, AI Researcher
Fourth year PhD student in Computational and Applied Mathematics (CAM) at the University of Chicago, holding an honours degree in applied mathematics from UC San Diego. Andrew's expertise lies in machine learning and statistical methods, honed through his research and professional experience as an ML Engineer at Leidos Inc.
Andrew Dennehy
Co-founder, AI Researcher
Fourth year PhD student in Computational and Applied Mathematics (CAM) at the University of Chicago, holding an honours degree in applied mathematics from UC San Diego. Andrew's expertise lies in machine learning and statistical methods, honed through his research and professional experience as an ML Engineer at Leidos Inc.
Connect with us
Proprietary Generative AI Model
Like an LLM for market time series data
Traditional back testing relies on historical data, limiting your ability to anticipate evolving market dynamics. Our proprietary generative AI creates realistic, high-fidelity synthetic data, allowing traders to test strategies with unlimited, realistic market scenarios based on the current market regime.
Proprietary Generative AI Model
Like an LLM for market time series data
Traditional back testing relies on historical data, limiting your ability to anticipate evolving market dynamics. Our proprietary generative AI creates realistic, high-fidelity synthetic data, allowing traders to test strategies with unlimited, realistic market scenarios based on the current market regime.
Strategy Gym
Every trade influences the market
Our Strategy Gym lets you engage directly with our data generation process, giving you the most realistic sense of the market impact of your trades. Simulate market conditions, improve the expectation of your strategy’s performance and hyper-optimize its parameters.
Strategy Gym
Every trade influences the market
Our Strategy Gym lets you engage directly with our data generation process, giving you the most realistic sense of the market impact of your trades. Simulate market conditions, improve the expectation of your strategy’s performance and hyper-optimize its parameters.
Level 3 Data
Build on the most granular data
Research, develop and deploy your strategy on level 3 order book data, with queue tracking, timestamped at the nanosecond level. Directly impute your orders into the order book using our strategy testing engine for the most realistic simulation.
Level 3 Data
Build on the most granular data
Research, develop and deploy your strategy on level 3 order book data, with queue tracking, timestamped at the nanosecond level. Directly impute your orders into the order book using our strategy testing engine for the most realistic simulation.
Team
Daniel Gold
Co-founder, CEO
Master’s graduate with a degree in CAM from University of Chicago, with a foundation in economics and mathematics from Mount Allison University. As an M&A researcher at Constellation Software, Daniel sourced potential acquisitions, engaging CEOs, VC, PE and decision makers.
Daniel Gold
Co-founder, CEO
Master’s graduate with a degree in CAM from University of Chicago, with a foundation in economics and mathematics from Mount Allison University. As an M&A researcher at Constellation Software, Daniel sourced potential acquisitions, engaging CEOs, VC, PE and decision makers.
Christopher Ley
Founding ML Engineer
PhD in Electrical Engineering from University of Chile and an Honours Bachelor of Engineering in Mechatronics. Before his work with Lake Shore Dynamics, Christopher worked in both industry and academia as a deep learning researcher and engineer, including at the Centre for Mathematical Modelling and Continental AG. His research particularly focuses on time series modeling, culminating in a paper published in Signal Processing.
Christopher Ley
Founding ML Engineer
PhD in Electrical Engineering from University of Chile and an Honours Bachelor of Engineering in Mechatronics. Before his work with Lake Shore Dynamics, Christopher worked in both industry and academia as a deep learning researcher and engineer, including at the Centre for Mathematical Modelling and Continental AG. His research particularly focuses on time series modeling, culminating in a paper published in Signal Processing.
Eran Cohen
Founding Engineer
Graduated Summa Cum Laude from the Technion with a BSc in Computer Science. Eran is a Software Engineer with expertise in developing simulations, computer graphics frameworks, and high-performance distributed database systems, gained through his work at Rafael and later at Microsoft.
Eran Cohen
Founding Engineer
Graduated Summa Cum Laude from the Technion with a BSc in Computer Science. Eran is a Software Engineer with expertise in developing simulations, computer graphics frameworks, and high-performance distributed database systems, gained through his work at Rafael and later at Microsoft.
Andrew Dennehy
Co-founder, AI Researcher
Fourth year PhD student in Computational and Applied Mathematics (CAM) at the University of Chicago, holding an honours degree in applied mathematics from UC San Diego. Andrew's expertise lies in machine learning and statistical methods, honed through his research and professional experience as an ML Engineer at Leidos Inc.
Andrew Dennehy
Co-founder, AI Researcher
Fourth year PhD student in Computational and Applied Mathematics (CAM) at the University of Chicago, holding an honours degree in applied mathematics from UC San Diego. Andrew's expertise lies in machine learning and statistical methods, honed through his research and professional experience as an ML Engineer at Leidos Inc.