Essays about: "Aktiepriser"

Showing result 1 - 5 of 27 essays containing the word Aktiepriser.

  1. 1. A Markovian Approach to Financial Market Forecasting

    University essay from KTH/Matematisk statistik

    Author : Kevin Sun Wang; William Borin; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isabella Mustén Ross; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 3. Enhancing Stock Price Prediction with Sentiment Analysis : A Comparison of LSTM Models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Rasmus Craelius; Alexander Tungodden Daviknes; [2023]
    Keywords : ;

    Abstract : Since the early 1980s stock traders and investment firms have been devloping prediction based machine learning models in an attempt to become rich. The problem is that stock price prediction is hard, and simply using historical price data is not enough to get accurate predictions. READ MORE

  5. 4. Time Series forecasting of the SP Global Clean Energy Index using a Multivariate LSTM

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Klara Larsson; Freja Ling; [2021]
    Keywords : Machine learning; clean energy; neural networks; stock market; LSTM; time series; multivariate LSTM; correlation.;

    Abstract : Clean energy and machine learning are subjects that play significant roles in shaping our future. The current climate crisis has forced the world to take action towards more sustainable solutions. Arrangements such as the UN’s Sustainable Development Goals and the Paris Agreement are causing an increased interest in renewable energy solutions. READ MORE

  6. 5. Comparison of machine learning models for market predictions with different time horizons

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Adam Lindberg; Gustav Gerholm; [2021]
    Keywords : ;

    Abstract : Stock market prediction is, when successful, a means of generating large amount of wealth. It remains an unanswered question if stock prices can be predicted consistently, due to the randomness and seemingly unpredictable nature of stock prices. READ MORE