The rising availability of orderbook datasets enables market participants as well as academic institutions to analyze market microstructure at an unprecedented degree of detail. The software libraries which are presented within this thesis allow the reconstruction and visualization of a proprietary XETRA DAX30 dataset made available thanks to Deutsche Börse AG and the Institute for Investmentbanking and Catallactics. The goal of the preliminary reconstruction process is to obtain a cleaned and consistent dataset.
Subsequently this dataset can be graphically represented and analyzed using the orderbook visualization tool. The main features of the tool are a continuous zoom function and various filters to restrict the visualization of orders. Thus it is even possible to identify some algorithmic trading strategies which can be highlighted by the application of implemented filter functions.