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Visar resultat 1 - 5 av 112 uppsatser som matchar ovanstående sökkriterier.

1. 1. Stock Price Predictions for FAANG Companies Using Machine Learning Models

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Hugo Dahlquist; Fredrik Fourong; [2024]
   Nyckelord :Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

   Sammanfattning : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. LÄS MER

3. 2. Predicering av aktiekursutveckling för svenska aktier utifrån konjunkturdata

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

   Författare :Edward Ehrling; Felix Dahl; [2023]
   Nyckelord :;

   Sammanfattning : This study aims to investigate whether Swedish economic indicators can be used to predict stock market performance on the Stockholm Stock Exchange. The study is expected to contribute to new research in the field and also explore the potential utility of these predictions for individual investors. LÄS MER

4. 3. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
   Nyckelord :Bitcoin; Cryptocurrency; Machine Learning;

   Sammanfattning : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. LÄS MER

5. 4. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Henrique Costabile; [2023]
   Nyckelord :;

   Sammanfattning : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. LÄS MER

7. 5. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm

   Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Lakshmi Vyshnavi Nerella; Chiranjeevi Ponnada; [2023]
   Nyckelord :;

   Sammanfattning : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. LÄS MER