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School of Maths


Trend-following strategies in currency trading

Abstract

This project is based on a recent paper by J. James who described how profits could be made by using trend following strategies in currencies trading. We utilized the method of simple moving averages in Technical Analysis to automate the buying or selling points. Then we optimised the best days of moving averages, number of trades per year and hence the annual return. We reproduced the work of James and examined a range of currency pairs and identified them as trend-following or range-trading. We also tested out various modifications such as levels of trading cost, exponential moving averages, two moving averages and volatility adjustments to see the corresponding effects. During our study, we found an interesting characteristic between the number of trades and days in moving averages, which resembles a universal exponential decay function. We also constructed a random walk model from which we verified the random stochastic nature of the currency exchange market.

Final report (2.0MB)

Data Input - 14 currency pairs
CHF/JPY  EUR/CHF  EUR/GBP  EUR/JPY  EUR/NOK
EUR/USD  GBP/CHF  GBP/JPY  GBP/USD  USD/AUD
USD/CAD  USD/CHF  USD/JPY  USD/SEK

Programs
p01.c  p02.c  p03.c  p04.c  p05.c  p06.c  p07.c  random.c

my project partner: Peter Elliott's website