This project aims to develop a machine learning model that combines financial news sentiments and technical indicators to predict stock prices. By utilizing natural language processing to analyze news articles and technical indicators to identify…
Read MoreQuantitative easing is a monetary policy tool used by central banks to stimulate the economy. This thesis examines how quantitative easing influences stock market performance in both developed and emerging economies. By analyzing data from…
Read MoreThe project thesis focuses on utilizing machine learning algorithms to predict stock prices. By analyzing historical data and market trends, the aim is to create models that can forecast future stock prices with a high…
Read MoreThe project aims to develop a predictive model for stock price movements by utilizing machine learning algorithms and analyzing financial indicators. By combining quantitative analysis and advanced algorithms, the model seeks to forecast potential stock…
Read MoreThis project aims to explore the application of machine learning algorithms in predicting stock market movements. By analyzing historical stock data and employing various machine learning techniques, the project seeks to develop a predictive model…
Read MoreThis project thesis aims to investigate the influence of ESG (Environmental, Social, and Governance) factors on the financial performance of companies worldwide. By analyzing data from various industries and regions, it intends to provide insights…
Read MoreThis project thesis aims to explore the effectiveness of various machine learning algorithms in predicting stock prices. The study will compare the performance of algorithms such as linear regression, decision trees, random forests, and neural…
Read MoreThe project thesis focuses on leveraging machine learning algorithms for predicting stock prices in the financial markets. It aims to explore how various machine learning techniques can be applied to historical stock data to forecast…
Read MoreThis project focuses on the development of automated algorithmic trading strategies using machine learning techniques for stock market prediction. The aim is to create predictive models that can analyze historical market data, identify patterns, and…
Read MoreThe project thesis explores the impact of Corporate Social Responsibility (CSR) initiatives on the financial performance of companies. It aims to investigate how engaging in socially responsible practices can positively influence key financial metrics and…
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