ABSTRACT
This thesis
presents the development of an optimized intelligent machine learning approach
in Forex trading using two moving average indicators. This work introduced a
new intelligent model for automated execution of trades in the Forex market,
reducing potential losses due to factors such as human errors and sentiments in
trading Forex. In developing this trading model,
Momentum strategy was used since it takes advantage of market swings, along
with Genetic Algorithm
being a type of supervised Machine Learning used in training the past historical data based on selected trading parameters in a Meta Trader 4
(MT4) platform. The Exponential Simple Moving Average (ESMA) which is the new
Expert Advisor was developed using the MQL4 language which is based on C++for programming specific trading strategies
and easily facilitates automated trading. The result is an optimized
intelligent trading system that implements the intersection of the two moving
averages at various periods, to execute trades autonomously with a profit pass
rate of 75% visible from the Optimization chart of the MetaTrader 4 (MT4)
platform.
-- (2023). Development Of An Optimized Intelligent Machine Learning Approach To Foreign Exchange(Forex) Trading Using Moving Average Indicators. Mouau.afribary.org: Retrieved Dec 25, 2024, from https://repository.mouau.edu.ng/work/view/development-of-an-optimized-intelligent-machine-learning-approach-to-foreign-exchangeforex-trading-using-moving-average-indicators-7-2
--. "Development Of An Optimized Intelligent Machine Learning Approach To Foreign Exchange(Forex) Trading Using Moving Average Indicators" Mouau.afribary.org. Mouau.afribary.org, 24 May. 2023, https://repository.mouau.edu.ng/work/view/development-of-an-optimized-intelligent-machine-learning-approach-to-foreign-exchangeforex-trading-using-moving-average-indicators-7-2. Accessed 25 Dec. 2024.
--. "Development Of An Optimized Intelligent Machine Learning Approach To Foreign Exchange(Forex) Trading Using Moving Average Indicators". Mouau.afribary.org, Mouau.afribary.org, 24 May. 2023. Web. 25 Dec. 2024. < https://repository.mouau.edu.ng/work/view/development-of-an-optimized-intelligent-machine-learning-approach-to-foreign-exchangeforex-trading-using-moving-average-indicators-7-2 >.
--. "Development Of An Optimized Intelligent Machine Learning Approach To Foreign Exchange(Forex) Trading Using Moving Average Indicators" Mouau.afribary.org (2023). Accessed 25 Dec. 2024. https://repository.mouau.edu.ng/work/view/development-of-an-optimized-intelligent-machine-learning-approach-to-foreign-exchangeforex-trading-using-moving-average-indicators-7-2