We're a quantitative trading firm, established in Singapore back in 2014. We build automated trading systems fueled by data-driven quantitative analysis to achieve stable and sustainable investment returns. Our engineering teams do what humans do best – create algorithmic decision processes in order to achieve what no human trader ever could in today’s fast-changing, unbelievably complex financial world.
Data-driven quantitative research. Automated trade execution on our proprietary system.
Full follow-up analysis. Every time.
Quantitative Research
Data Processing
Data is at the core of everything we do. And every bit and byte is sanitized and cross-validated before research can begin.
Research and Optimization
We love fresh ideas and new perspectives. But before any new strategy or predictive model can be considered, human bias must be removed. Then the algorithm must be made verifiable.
Post-Trade Analysis
You can’t understand what you don’t analyze. That’s why one of our most important processes is minding the gap between simulation and real-life, and adjusting as needed.
Engineering
Low-Latency In-House Trading Platform
There are plenty of third-party trading solutions out there, but we couldn’t find the one we were looking for. So we built our own. And we’re still building it – continuously analyzing our trading process from start to finish, making it faster, more reliable, and more scalable.
Ultra-realistic Simulation
Our highly-accurate in-house-built market simulators were developed to research and validate predictive models efficiently. We also study ways to improve simulation accuracy based on real market trading results.
Risk Management
Our risk management system enables safer trading operations and has been applied to the in-house trading platform. Orders are only carried out within the agreed risk parameters and are monitored in real-time.
Our Trading Strategies
High-Frequency Trading
This is the Formula 1 of trading. We receive new market data, and less than a few microseconds later, the order is sent. HFT is incredibly challenging, and our engineering team is constantly balancing data, algorithmic complexity, and hardware limitations. Fortunately, they thrive on that stuff.
Portfolio Management
A marathon is won one step at a time. When we’re thinking long term, like in the case of portfolio management, our focus is on methodically creating robust prediction models out of solid statistical research. We always use a wide variety of data, stored and managed in a reliable way – a key component to making more robust portfolio strategies.
Market Making
We contribute to the stabilization of the financial market by providing liquidity with our market making strategies. Fast and accurate execution of the orders is very important for this type of strategy. As a market-making participant, we’re cooperating with several exchanges around the world to help create a better trading environment with sufficient liquidity.
