Hirschey, NicholasWand, Sebastian2026-05-182026-05-182026-01-232025-12-17http://hdl.handle.net/10362/203158This thesis evaluates a Trend Following strategy based on Multiple Moving Averages. Two novel metrics are introduced to capture trend strength based on the relative ordering of the averages and aim to adjust position sizing beyond the directional signal from a moving average crossover. Applied to a broad set of macro futures indices, the strategy is profitable. However, most returns originate from the moving-average crossover, while the additional metrics provide limited contribution. Compared with a breakout-based Trend Following strategy, the approach underperforms.engTrend followingMoving averagesTime series momentumTradingQuantitative investment strategiesHedge fundsAnalysis of quantitative investment strategies: trend following – a multiple moving average approachmaster thesis204240794