Sökning: "High-frequency trading"

Visar resultat 1 - 5 av 66 uppsatser innehållade orden High-frequency trading.

  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

  3. 2. On Predicting Price Volatility from Limit Order Books

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Reza Dadfar; [2023]
    Nyckelord :General Compound Hawkes Process; Limit Order Book LOB ; High- Frequency Trading; Price Volatility; Markov Chain.;

    Sammanfattning : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. LÄS MER

  4. 3. High-Frequency Market Reactions to Unscheduled Stock-Speci c News- An Empirical Analysis of the Intraday Market Dynamics of the Stockholm Stock Exchange

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Olle Ekesryd; Tom Carlson; [2022-06-29]
    Nyckelord :unscheduled news; intraday; e cient market hypothesis; high-frequency trading; sentiment analysis;

    Sammanfattning : This study examines the e ect of unscheduled stock-speci c news on stock char- acteristics of the Swedish stock market and evaluates the opportunity of con- structing a news trading strategy. It especially focuses on volume and volatility reactions between sixty minutes prior to and after the news releases. LÄS MER

  5. 4. Reinforcement Learning for Market Making

    Master-uppsats, KTH/Matematisk statistik

    Författare :Simon Carlsson; August Regnell; [2022]
    Nyckelord :Reinforcement learning; Market making; Deep reinforcement learning; Limit order book; Algorithmic trading; High-frequency trading; Machine learning; Artificial intelligence; Q-learning; DDQN; Förstärkningsinlärning; Market making; Djup förstärkningsinlärning; Limitorderbok; Algoritmisk handel; Högfrekvenshandel; Maskininlärning; Artificiell intelligens; Q-learning; DDQN;

    Sammanfattning : Market making – the process of simultaneously and continuously providing buy and sell prices in a financial asset – is rather complicated to optimize. Applying reinforcement learning (RL) to infer optimal market making strategies is a relatively uncharted and novel research area. LÄS MER

  7. 5. PET-Exchange: A Privacy Enhanced Trading Framework : A Framework for Limit-Order Matching using Homomorphic Encryption in Trading

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Jacob Wahlman; [2022]
    Nyckelord :Homomorphic Encryption; Privacy; Securities Exchange; Privacy Enhancing Technologies;

    Sammanfattning : Over the recent decades, an increasing amount of new traders has entered the securities markets in order to trade securities such as stocks and bonds on electronic and physical exchanges. This increase in trader activity can largely be attributed to a simpler trading process including the growth of the electronic securities exchanges allowing for more dynamic and global trading platforms. LÄS MER