GPW Platform Data as an innovative system using artificial intelligence to support capital market investment decisions. (Q77739): Difference between revisions
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(Removed claim: summary (P836): Reference_reference_programme_aids:SA.41471 (2015/X) _public:art:25 Commission Regulation No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The project focuses on R & D to develop the WSE Data technology, building on machine learning methods and A.I., which will allow investors to take more effective investm...) |
(Created claim: summary (P836): Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is R & D works aimed at creating WSE Data technology, based on machine learning methods and A.I., which will allow inves...) |
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Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is R & D works aimed at creating WSE Data technology, based on machine learning methods and A.I., which will allow investors to make investor decisions more efficiently by supporting the analysis of stock exchange data using algorithms developed within the project. Implementation will allow to increase investment involvement of investors while minimising the costs of data processing (financial reports, current reports of issuers, macro data). WSE Data will enable data analysis and the construction of own transactional algorithms using artificial intelligence for algorithmic trade. Introduction of user-friendly tools that allow for the development of algorithmic trade, as it accounts for only 10 % of the daily turnover of WSE SA (data for 2018), when in the case of developed markets it is 70 %. The purpose of industrial research (stage 1-2) is to develop and verify in laboratory conditions new algorithms dedicated to: • efficient search for historical events similar to the specified range, • automatic detection of sudden flash crashes, • processing data for classification, detection and location on the time axis of events relevant to the investor’s point of view, • method of visualising stock exchange data and relations between them in 3D, also using VR goggles. The solution will be an innovation on a nationwide scale. Algorithms will be developed as part of the development work (step 3) combined into a single IT system of WSE Data and made available as part of the Investment Support Tools. Expected r (English) | |||||||||||||||
| Property / summary: Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is R & D works aimed at creating WSE Data technology, based on machine learning methods and A.I., which will allow investors to make investor decisions more efficiently by supporting the analysis of stock exchange data using algorithms developed within the project. Implementation will allow to increase investment involvement of investors while minimising the costs of data processing (financial reports, current reports of issuers, macro data). WSE Data will enable data analysis and the construction of own transactional algorithms using artificial intelligence for algorithmic trade. Introduction of user-friendly tools that allow for the development of algorithmic trade, as it accounts for only 10 % of the daily turnover of WSE SA (data for 2018), when in the case of developed markets it is 70 %. The purpose of industrial research (stage 1-2) is to develop and verify in laboratory conditions new algorithms dedicated to: • efficient search for historical events similar to the specified range, • automatic detection of sudden flash crashes, • processing data for classification, detection and location on the time axis of events relevant to the investor’s point of view, • method of visualising stock exchange data and relations between them in 3D, also using VR goggles. The solution will be an innovation on a nationwide scale. Algorithms will be developed as part of the development work (step 3) combined into a single IT system of WSE Data and made available as part of the Investment Support Tools. Expected r (English) / rank | |||||||||||||||
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| Property / summary: Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is R & D works aimed at creating WSE Data technology, based on machine learning methods and A.I., which will allow investors to make investor decisions more efficiently by supporting the analysis of stock exchange data using algorithms developed within the project. Implementation will allow to increase investment involvement of investors while minimising the costs of data processing (financial reports, current reports of issuers, macro data). WSE Data will enable data analysis and the construction of own transactional algorithms using artificial intelligence for algorithmic trade. Introduction of user-friendly tools that allow for the development of algorithmic trade, as it accounts for only 10 % of the daily turnover of WSE SA (data for 2018), when in the case of developed markets it is 70 %. The purpose of industrial research (stage 1-2) is to develop and verify in laboratory conditions new algorithms dedicated to: • efficient search for historical events similar to the specified range, • automatic detection of sudden flash crashes, • processing data for classification, detection and location on the time axis of events relevant to the investor’s point of view, • method of visualising stock exchange data and relations between them in 3D, also using VR goggles. The solution will be an innovation on a nationwide scale. Algorithms will be developed as part of the development work (step 3) combined into a single IT system of WSE Data and made available as part of the Investment Support Tools. Expected r (English) / qualifier | |||||||||||||||
point in time: 14 October 2020
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Revision as of 10:06, 14 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | GPW Platform Data as an innovative system using artificial intelligence to support capital market investment decisions. |
Project in Poland financed by DG Regio |
Statements
4,199,143.23 zloty
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8,344,375.0 zloty
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50.32 percent
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1 October 2019
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30 September 2021
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GIEŁDA PAPIERÓW WARTOŚCIOWYCH W WARSZAWIE SA
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51°21'16.9"N, 19°22'36.8"E
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Numer_referencyjny_programu_pomocowego: SA.41471(2015/X) Przeznaczenie_pomocy_publicznej: art: 25 rozporządzenia KE nr 651/2014 z dnia 17 czerwca 2014 r. uznające niektóre rodzaje pomocy za zgodne z rynkiem wewnętrznym w stosowaniu art. 107 i 108 Traktatu (Dz. Urz. UE L 187/1 z 26.06.2014). Przedmiotem projektu są prace B+R mające na celu stworzenie technologii GPW Data, bazującej na metodach uczenia maszynowego i A.I., która pozwoli inwestorom na bardziej wydajne podejmowanie decyzji inwestorskich poprzez wspomaganie analizy danych giełdowych z wykorzystaniem algorytmów opracowanych w ramach projektu. Wdrożenie pozwoli na zwiększenie zaangażowania inwestycyjnego inwestorów przy minimalizacji kosztów przetwarzania danych (sprawozdania finansowe, raporty bieżące emitentów, dane makro). GPW Data umożliwiać będzie analizę danych oraz budowę własnych algorytmów transakcyjnych z wykorzystaniem sztucznej inteligencji na potrzeby handlu algorytmicznego. Wprowadzenie przyjaznych użytkownikowi narzędzi pozwalających na rozwój handlu algorytmicznego, gdyż odpowiada on za zaledwie 10% dziennych obrotów na GPW SA (dane za 2018 rok), gdy w przypadku rynków rozwiniętych wskaźnik ten wynosi 70%. Celem badań przemysłowych (etap 1-2), jest opracowanie i weryfikacja w warunkach laboratoryjnych nowych algorytmów dedykowanych do: • efektywnego wyszukiwania historycznych zdarzeń podobnych do zadanego zakresu, • automatycznego wykrywania nagłych zmian typu flash crashes, • przetwarzania danych dla potrzeb klasyfikacji, detekcji i lokalizacji na osi czasu zdarzeń istotnych z punktu widzenia inwestora, • metoda wizualizacji danych giełdowych i relacji między nimi w 3D, również z wykorzystaniem gogli VR. Opracowane rozwiązanie stanowić będzie innowację na skalę ogólnopolską. Opracowane algorytmy zostaną w ramach prac rozwojowych (etap 3) połączone w jeden system informatyczny GPW Data i udostępnione w ramach Narzędzi Wspomagających Inwestowanie. Oczekiwanym r (Polish)
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Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article: 25 EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is R & D works aimed at creating WSE Data technology, based on machine learning methods and A.I., which will allow investors to make investor decisions more efficiently by supporting the analysis of stock exchange data using algorithms developed within the project. Implementation will allow to increase investment involvement of investors while minimising the costs of data processing (financial reports, current reports of issuers, macro data). WSE Data will enable data analysis and the construction of own transactional algorithms using artificial intelligence for algorithmic trade. Introduction of user-friendly tools that allow for the development of algorithmic trade, as it accounts for only 10 % of the daily turnover of WSE SA (data for 2018), when in the case of developed markets it is 70 %. The purpose of industrial research (stage 1-2) is to develop and verify in laboratory conditions new algorithms dedicated to: • efficient search for historical events similar to the specified range, • automatic detection of sudden flash crashes, • processing data for classification, detection and location on the time axis of events relevant to the investor’s point of view, • method of visualising stock exchange data and relations between them in 3D, also using VR goggles. The solution will be an innovation on a nationwide scale. Algorithms will be developed as part of the development work (step 3) combined into a single IT system of WSE Data and made available as part of the Investment Support Tools. Expected r (English)
14 October 2020
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Identifiers
POIR.01.01.01-00-0162/19
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