challenge:
https://knowledgepit.ai/fedcsis-2024-challenge/
The topic of this year's competition is the prediction of stock trends.
The dataset contains key financial indicators for 300 companies chosen
from 11 different sectors of the S&P 500 index, from 10 years. Each
company is described by values of 58 indicators that are derived from
its financial statements. The dataset also contains information on
1-year change for each indicator, which can indicate a trend in the
considered values. The task for the competition participants is to
develop a predictive model able to accurately forecast stock trend
movements based on the provided financial fundamental data. Such a model
could have a vital role in algorithmic or manual trading, providing the
trading signals for making decisions about whether it is a good moment
to buy or sell the stock, or maybe not to trade at all. The
competition's sponsor is Mobi Banka (part of the PPF group) – the
first bank in the Western Balkan region where banking is done fully
mobile.
Apart from money prizes provided by the sponsor, winners can count on
free FedCSIS 2024 conference registrations!
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
