Product Description
We offer the development and enhancement of trading strategies. We have developers, analysts, traders and statistics available. Trades who manage their own strategy, focus rather on topics of robustness, trading conditions, risks and strategy workflow more than on yields. And that is exactly where we see the greatest potential for cooperation.
Every trading strategy can be reinforced, alternatively enhanced by one of the following points:
- automation = workflow efficiency improvement (market scanning/seeking opportunities, backtesting, data preprocessing, execution)
- robustness (using statistics including relations between “blind spots” on equity curve and market, albeit undetectable, phenomena)
- optimisation (connecting more uncorrelated assets) in order to reduce risks/drawdowns and drawdown period
Learn how to build advanced trading systems here. Do not hesitate to contact us for more information.
Number of Users
Units of users from OCP and retail traders.
Further Development
We are continuously working on the development of our tools so that we can always provide users with the most advanced technologies.
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News
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Data Harvesting – Extract, Transform, Load
event_note 11.10.2021 person Tereza ZemanováA good machine learning model needs rich and wide datasets.
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Complexity of each calculation in the StockPicking Lab
event_note 24.08.2021 person Maša VodalovWhen calculating the results and preparing a list of undervalued and overvalued stocks in our StockPicking Lab, for every asset, stock, and ticker we use 2237 features.
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New SFA features
event_note 28.07.2021 person Maša VodalovWe have deployed a new version of our SFA (Summary of Financial Articles) software.
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Model Diagnostics with Learning Curves
event_note 22.07.2021 person Maša VodalovLearning curves can bring important insight during the design process of a machine learning model.
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Feature Selection
event_note 28.06.2021 person Tereza ZemanováWe have been researching the selection of variables enterings. When there are too many variables, the model has a worse ability to generalize and is more prone to errors.
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Feature Binning and Quantile Transformation
event_note 11.06.2021 person adminWe have recently implemented the method Feature Binning and Quantile Transformation. Due to upgraded data preparation, our ML models now achieve better results.