Sökning: "Stock price prediction"

Visar resultat 1 - 5 av 59 uppsatser innehållade orden Stock price prediction.

  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. A Regression Analysis of the Parameters Influencing the Share Price During the First Day After an IPO

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Daniel Johnsson; Matilda Caddeo; [2023]
    Nyckelord :Regression Analysis; IPO; Stocks; Marketplace; Under pricing; Investment Banking; Prediction; Regressionsanalys; Börsnotering; Aktier; Marknadsplats; Under Pricing; Investment Banking; Predicera;

    Sammanfattning : This study focuses on initial public offerings (IPOs), which are the process of making a company's shares available for public trading on a stock market. Despite global uncertainties in recent years, there has been a high demand for company listings in the market. LÄS MER

  4. 3. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Nyckelord :Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Sammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER

  5. 4. Swedish Stock and Index Price Prediction Using Machine Learning

    Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Författare :Henrik Wik; [2023]
    Nyckelord :Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

    Sammanfattning : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. 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