{"url":"/dataset/daily-load-patterns","name":"Daily load patterns","full_name":"Daily load patterns of six global exchanges as recorded by vwd/Infront Financial Technology","description_markdown":"This data set provides fine-granular statistics on trading traffic generated by six global exchanges over the course of two days in February 2019 for a set of representative feeds and recorded by the systems of vwd Vereinigte Wirtschaftsdienste GmbH (now known as Infront Financial Technology GmbH).\r\n\r\nPlease note that these numbers represent only limited market segments of the actual exchange and the measured feeds might provide different products and instrument types.\r\n\r\nThe exchanges are identified as AU = Sydney, FFM = Frankfurt am Main (GER), HK = Hong Kong (CN), Q = NASDAQ (USA), TK = Tokyo (JPN), UK = London (UK).\r\n\r\nPlease see the Zenodo page   https://doi.org/10.5281/zenodo.6381970 for details on syntax etc.","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.6381970","introduced_date":"2019-08-08","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Managing the Complexity of Processing Financial Data at Scale -- an Experience Report","first_author":null,"url":null},"license":{"name":"Creative Commons CC-by 4.0","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Daily load patterns"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}