Sökning: "technical trading"

Visar resultat 1 - 5 av 92 uppsatser innehållade orden technical trading.

  1. 1. A Markovian Approach to Financial Market Forecasting

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Kevin Sun Wang; William Borin; [2023]
    Nyckelord :Markov chain; Markov model; stock market prediction; Laplace smoothing; steady-state; forecasting; trading strategy; stochastic; trading algorithm; Markovkedjor; Markovmodell; prediktion; Laplace-jämning; stationär fördelning; tradingstrategi; stokastisk; trading algoritm;

    Sammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER

  3. 2. Empirical Asset Pricing via Machine Learning - Evidence from the Chinese stock market

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Bao Liu; Chuyue Huan; [2023]
    Nyckelord :Machine learning; Asset pricing model; Chinese stock market;

    Sammanfattning : This thesis builds upon existing research on the application of machine learning in asset pricing in the US and European stock markets, by incorporating unique predictive indicators specific to the Chinese stock market, to explore whether machine learning can also be successfully applied in the Chinese stock market. Empirical results show that machine learning models outperform OLS significantly in predicting A-share returns, and this conclusion also applies to different portfolios we have constructed. LÄS MER

  4. 3. A Techno-Economic Case Study of the Implementation of Hydrogen Technology in Connection to a CHP Plant

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Kristina Häggström Wedding; Amanda Kander; [2023]
    Nyckelord :Hydrogen Technology; Electrolyzer; Fuel Cell; Ancillary Services; Electricity Markets; Power Balancing; Balancing Markets; Power to Gas; Power to Power; Combined Heat and Power; District Heat; Heat Utilization; Flexibility; Optimization; Technology and Engineering;

    Sammanfattning : With climate change as the main driving force, the energy system is currently undergoing changes. Both the share of renewable resources used to produce electricity and the overall electrification is increasing. A way to handle the resulting challenges from more intermittent electricity production is by the implementation hydrogen technology. LÄS MER

  5. 4. Improving charging scheduling of public transport electric buses

    Master-uppsats, Lunds universitet/Produktionsekonomi

    Författare :Franz Bamberg; Anna Hassler; [2023]
    Nyckelord :Peak load; electricity trading; spot prices; electric buses; bus transport operator; battery energy storage system; charging scheduling; Technology and Engineering;

    Sammanfattning : Title: Improving charging scheduling of public transport electric buses Authors: Anna Hassler & Franz Bamberg Supervisor: Johan Marklund, Lund University Background: This thesis focuses on a Swedish BTO that operates EB fleets. For companies investing in electrification, record-high and volatile electricity prices, present challenges and creates a need to improve the charging scheduling of EBs to reduce costs. LÄS MER

  7. 5. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Isabella Mustén Ross; [2023]
    Nyckelord :Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

    Sammanfattning : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. LÄS MER