Scale your Data Science Capabilities
Tradefeedr does the heavy lifting so you can focus on your core business needs.
At Tradefeedr we work with our clients to solve problems and derive competitive advantages from understanding and using their data. Although no two clients are the same, we strive to deliver the right combination of technology and advisory to meet our clients' expectations.
Potential use cases are described below.
Using A/B model testing to improve liquidity.
Using Machine Learning to determine algo SelectionSee more
Drill down to individual transactions and market data.See more
Using historical data to design models for pre-trade decision support.See more
A/B Model Testing Applied to Liquidity Optimisation
Before adding or removing liquidity providers: 1) create pools, 2) randomly assign trades to both pools, 3) analyse performance. Make changes and repeat.
Visualise and analyse transactional and tick level market data.
Create your own system for decision making by back-testing market and transactional data.