The script is currently hardcoded to generate forex data for the entire month of January 2014. It uses the Python calendar library in order to ascertain business days (although I haven't excluded holidays yet) and then generates a set of files of the form BBBQQQ_YYYYMMDD.csv, where BBBQQQ will be the specified currency pair (e.g. GBPUSD) and YYYYMMDD is the specified date (e.g. 20140112).

Interactive Brokers ®, IBSM, ®, Interactive Analytics ®, IB Options AnalyticsSM, IB SmartRoutingSM, PortfolioAnalyst ®, IB Trader WorkstationSM and One World, One AccountSM are service marks and/or trademarks of Interactive Brokers LLC. Supporting documentation for any claims and statistical information will be provided upon request. Any trading symbols displayed are for illustrative purposes only and are not intended to portray recommendations.
Local Portfolio Handling - In my opinion carrying out a backtest that inflates strategy performance due to unrealistic assumptions is annoying at best and extremely unprofitable at worst! Introducing a local portfolio object that replicates the OANDA calculations means that we can check our internal calculations while carrying out practice trading, which gives us greater confidence when we later use this same portfolio object for backtesting on historical data.