1 10 1 https://urss.warwick.ac.uk/files/original/c87ef0eea9db333041be6694db4ec88e.pdf 9d9846940124190262d443abad3949ed Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper In the ever-evolving financial markets, the capability to test and validate trading strategies before their real-world application has become paramount. This research project has designed a robust back testing program utilizing MATLAB, a platform known for its computational efficiency and vast analytical capabilities. The core objective was to simulate historical trading to evaluate the potential profitability and risk of a general trading strategy. Following successful simulations, the results and insights gained from the backtesting were employed to craft a live trading system, designed using the python programming language and connecting to both “paper” and real markets using broker provided API’s (application programming interfaces). Preliminary findings indicate the effectiveness in strategy development and this research underscores the importance of backtesting in trading strategy development and the seamless integration of such tools in the trading ecosystem. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Trading Strategies through Optimization: A Back-Testing and Live Market Implementation Subject The topic of the resource Engineering Creator An entity primarily responsible for making the resource Adam Barton Date A point or period of time associated with an event in the lifecycle of the resource 2023 Adam Barton backtesting Engineering financial markets MATLAB trading strategies