SHALES / RESEARCH & TECHNOLOGY
Market data, testable hypotheses and system implementation. We treat research and engineering as parts of one continuous process.
Analyse market data, develop hypotheses and test them. Data quality and the assumptions behind each observation are integral to the process.
The interpretation of a result depends on its context. We consider the assumptions behind the data and examine whether a hypothesis is supported by evidence.
Translate research into systems. Connect data processing, implementation and the mechanics of trading through software.
A model is part of a wider system. Data handling, implementation and observations from that system inform the research process.
Recognise model limitations and uncertainty in markets. Revisit assumptions in the context of real trading conditions.
Market conditions can differ from those used to construct a model. Understanding that difference is part of evaluating both the model and its use.