It has been a year (03. 06. 2020 – 28. 05. 2021) already since we started trading with our “StockPicker” strategy on real Interactive Broker accounts. Therefore, we bring more detailed results, including graphs and comparisons with a benchmark, in our case the S&P 500 Index.
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We are launching the StockPickingLab section, through which you gain access to the relatively most undervalued and overvalued stocks within the S&P 100 index.

• You can view the results of the Stock Picker system in real operation here. The average annual yield is 17,69 %, while the maximum drawdown is -13,72 %.
• Factors that influence the decision-making of the model are listed in the previous article.
• Detailed information and access to the system are under this article.

We provide an analytical report as the output of the developed software for analysts in the capital markets. This is by no means an investment recommendation. We do not provide any financial services. Our activity is the development of software based on AI methods. We are developing the model in cooperation with Mendel University in Brno and the University of Economics in Prague. For more information or cooperation with our company, do not hesitate to contact us.

Our company deals with software development, data and text analysis. However, the creation of models and software based on the principles of artificial intelligence is only the first step in commercially successful applications. (more…)

As we informed you in our previous posts, our team is not dealing only with state-of-art technologies and research of business strategies using hedge funds. Our portfolio is also complemented by common and relatively easy reporting and analytical tools. One of these tools is an intuitive stock screener that can be used for easy sorting of “the best” titles according to your selected preferences.

Another Stock Screener?

Most of the stock screeners are based on the fact that you have a certain universe (group) of assets that is refined through available filters until assets which match the selected criteria are found. User disadvantage of such workflow is the fact that you exactly need to know what you are looking for. However, in the beginning, the vast majority of “searching” users does not know precisely which methodology to use to search for their outcomes.

Our stock screener respects this and solves it by using the two-stage output classification.

How Does It Work?

In our screener, first of all, you intuitively choose priorities (technically speaking – filters), thanks to which the preferences are expressed (investment currency, risk aversion, investment horizon etc.). With these preferences, you define the method of the evaluation of the scanned asset set and, as a result of your choice, the evaluation model is set up, scaling individual assets to a chart.

Black Box I Have No Idea What Is Doing Inside?

On the output, you will be given a list of shares which a) meet your priorities and b) are sorted “from the best” according to the evaluation model which reflects your preferences. Individual criteria included in the evaluation model can be seen in the output table together with rated assets. Therefore, there is no chance of not knowing why and how the model reached the outcome. The evaluation model is not only transparent but also freely adjustable via indicator settings which form this complex evaluation model. This function can be appreciated especially by professionally competent analysts who want to use their own judgement to prefer or, on the contrary, to discriminate certain technical indicators.

If you are interested in more information about this application, stay tuned to our website or reach us directly straight away.

Michal Dufek