Sökning: "deep learning market analysis"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden deep learning market analysis.

  1. 1. Dynamik och tillförlighet i finansiell prognostisering : En analys av djupinlärningsmodeller och deras reaktion på marknadsmanipulation

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Aya Zawahri; Nanci Ibrahim; [2024]
    Nyckelord :LOB; market manipulation; spoofing; layering; DeepLOB; DeepLOB-Attention; TCN; DeepLOB-seq2seq; DTNN; ITCH; parsing.; LOB; marknadsmanipulation; spoofing; layering; DeepLOB; DeepLOB-Attention; TCN; DeepLOB-seq2seq; DTNN; ITCH; parsing.;

    Sammanfattning : Under åren har intensiv forskning pågått för att förbättra maskininlärningsmodellers förmåga att förutse marknadsrörelser. Trots detta har det, under finanshistorien, inträffat flera händelser, såsom "Flash-crash", som har påverkat marknaden och haft dramatiska konsekvenser för prisrörelserna. LÄS MER

  2. 2. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Mauro Campus; [2023-07-19]
    Nyckelord :Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

    Sammanfattning : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. LÄS MER

  3. 3. Deep Learning Based Sentiment Analysis

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Shashank Kalluri; [2023]
    Nyckelord :Sentiment Analysis; Word Embedding; Deep Learning;

    Sammanfattning : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. LÄS MER

  4. 4. Artificial Neural Networks for Financial Time Series Prediction

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Dana Malas; [2023]
    Nyckelord :artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

    Sammanfattning : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. LÄS MER

  5. 5. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Gustaf Holst; Jan Niia; [2023]
    Nyckelord :machine learning; deep learning; audio;

    Sammanfattning : Today streaming services are the most popular way to consume music, and with this the field of Music Information Retrieval (MIR) has exploded. Tangy market is a music investment platform and they want to use MIR techniques to estimate the value of not yet released songs. LÄS MER