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6 results for “Financial technology”
Application of Block Chain Technology in Financial Service,
<div> <table> <tbody> <tr> <td> <p>Application of Block Chain Technology in Financial Service,</p> </td> <td> <p>St. Joseph"s College , Tiruchirapalli,</p> </td> <td> <p>22nd, July,2020,</p> </td> </tr> </tbody> </table> </div> <p> </p>
Daily load patterns of six global exchanges as recorded by vwd/Infront Financial Technology
<p>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).</p> <p>Please note that these numbers represent only limited market segments of the actual exchange and the measured feeds might provide different products and instrument types.</p> <p>The exchanges are identified as AU = Sydney, FFM = Frankfurt am Main (GER), HK = Hong Kong (CN), Q = NASDAQ (USA), TK = Tokyo (JPN), UK = London (UK).</p> <p>The data set consists of six (6) files in comma-separated values (CSV) format with one tab as separator.</p> <p>Each file contains a list of timestamped (GMT+1) statistics that represent the update rate per second averaged to the granularity of one minute as received from the respective exchange at each point in time. Format: [UNIX timestamp] \t [updAvg].</p> <p>Please cite this conference paper when using this data:</p> <p>Frischbier, S., Paic, M., Echler, A., Roth, C. (2020). Managing the Complexity of Processing Financial Data at Scale - An Experience Report. In: Boy, G., Guegan, A., Krob, D., Vion, V. (eds) Complex Systems Design & Management. CSDM 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-34843-4_2</p> <p> </p> <p> </p> <p> </p>
Msc Financial Technology dissertation database
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DYNAMIC PRICING IN FINANCIAL TECHNOLOGY: EVALUATING MACHINE LEARNING SOLUTIONS FOR MARKET ADAPTABILITY
<p>The rapid advancement of technology has transformed the financial services sector, leading to the rise of fintech companies that leverage cutting-edge tools such as artificial intelligence (AI) and machine learning (ML) to offer innovative solutions. One area where fintech is particularly impactful is dynamic pricing, which involves adjusting prices in real-time based on market conditions, user behavior, and external factors. The ability to optimize pricing in response to fluctuating conditions is critical for maximizing profitability, improving customer satisfaction, and maintaining competitiveness. In this context, machine learning algorithms provide a powerful framework for making data-driven pricing decisions by learning from historical data and predicting future trends.</p>
Transforming Households With Refraction and Innovative Financial Technology
ClinicalTrials.gov study NCT05510687. IPD Sharing: YES. Countries: 1. Publications: 20.
Kuesioner Penelitian Pengaruh Literasi Keuangan dan Financial Technology Terhadap Keberlangsungan Usaha Pelaku UMKM
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.