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Understanding data represents the key competency for gaining and maintaining the competitive advantage.
Our main point of interest is the data analysis in the field of capital markets, however, we work with data from various areas. We apply functions and methods specifically developed for a particular field in a multidisciplinary way, it is possible to repeatedly compare experimental results between each other. Owing to this, you can reach results which will move your work to the next level.
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Feature Binning and Quantile Transformation
event_note 11.06.2021 person adminRead MoreWe have recently implemented the method Feature Binning and Quantile Transformation. Due to upgraded data preparation, our ML models now achieve better results.
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Reporting of the StockPicking system 6/2020 – 5/2021
event_note 31.05.2021 person adminRead MoreWe bring more detailed results, including graphs and comparisons with a benchmark, in our case the S&P 500 Index.
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Selection of significant predictors from a large number of time series
event_note 28.05.2021 person adminRead MoreOur goal is to keep only variables that are sufficiently different from each other. Therefore, we removed the mutually correlated series.
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SFA newly shows sentiment statistics
event_note person adminRead MoreSFA software, which analyzes financial articles via NLP, newly shows sentiment statistics.
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Using Trader Workstation
event_note 17.05.2021 person adminRead MoreGuide for downloading and using the Trader Work Station (TWS) Interactive Brokers (IBKR) application.
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How to read the Realized Summary Report in IBKR
event_note 16.05.2021 person adminRead MoreInstructions on how to read the most used IBKR report, Realized Summary Report.
