Scale your Data Science Capabilities

Tradefeedr does the heavy lifting so you can focus on your core business needs.

Solutions

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.

Liquidity Optimisation

Using A/B model testing to improve liquidity.

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Algo Selection

Using Machine Learning to determine algo Selection

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Trade Explorer

Drill down to individual transactions and market data.

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Pre-trade Analytics

Using historical data to design models for pre-trade decision support.

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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.

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Learn more about i) Defining FX Liquidity Metrics, ii) Ranking LPs in a Stack, iii) Market Impact Curves, iv) Latency, v) LP Stack Optimisation

Using Machine Learning to Determine Algo Selection

Ranking algo performance across different providers is a difficult problem and requires a set of well understood benchmarks to better slice and dice performance metrics.

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Read more about i) Ranking Algo Performance, ii) Algo Metrics

Trade Explorer

Visualise and analyse transactional and tick level market data.

Pre-trade Analytics

Create your own system for decision making by back-testing market and transactional data.

Supercharge Your Analytics

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