(LO1) Have an understanding of market microstructure and its impact on trading.
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(LO2) Understand the spectrum of computer-based trading applications and techniques, from profit-seeking trading strategies to execution algorithms.
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(LO3) Be able to design trading strategies and evaluate critically their historical performance and robustness.
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(LO4) Understand the common pitfalls in developing trading strategies with historical data.
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(LO5) Understand the benchmarks used to evaluate execution algorithms.
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(LO6) Understand methods for measuring risk and diversification at the portfolio level.
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(S1) Self-management (Readiness to accept responsibility (i.e. leadership), flexibility, resilience, self-starting, appropriate assertiveness, time management, readiness to improve own performance based on feedback/reflective learning.)
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(S2) Application of numeracy (Manipulation of numbers, general mathematical awareness and its application in practical contexts (e.g. measuring, weighing, estimating and applying formulae).)
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(S3) Problem solving (Analysing facts and situations and applying creative thinking to develop appropriate solutions.)
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(S4) Application of information technology (Basic IT skills, including familiarity with word processing, spreadsheets, file management and use of internet search engines.)
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(S5) Computer Science principles
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(S6) Computer Science practice
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