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Implementation of fx arbitrage using search problem theory and setting the foundations for the use of more sophisticated search algorithms.

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FX Arbitrage - From a Search Problem Perspective

This project opts to create a framework for searching for FX (Foreign Exchange) arbitrage opportunities by utilizing search problem theory found in the textbook Artificial Intelligence: A Modern Approach.

In order to understand the code you can either read the report "FX-Arbitrage-From a Search Problem Perspective.pdf" or take look at the mlx files that are included in the repo.

A general description of each .m file follows:

  • Problem.m: matlab class file that contains the Problem parents class
  • Node.m: matlab class file that contains the definition of the Node class
  • RoundTripTrade.m: matlab class file that inherits that Problem class and defines the problem of searching for a triangular arbitrage opportunity
  • OneWatTripTrade.m: matlab class file that inherits the RoundTripTrade class in order to define the problem of searching for one-way-arbitrage opportunities
  • depth_limited_search.m: matlab function file that implement the depth limited search algorithm
  • depth_limited_search_all.m: matlab function file that twists depth_limited_search function in a way that the algorithm performs exhaustive search and stores all solutions
  • utils.m: matlab function file that contains the utility functions used to perform the solution filtering and debugging operations
  • write_profits.m: matlab function file that is used to write the results from the mlx files to xlx formal.

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Implementation of fx arbitrage using search problem theory and setting the foundations for the use of more sophisticated search algorithms.

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