Essays about: "Financial memory"
Showing result 1 - 5 of 26 essays containing the words Financial memory.
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1. Risks, Concerns and Performance of AI Tools on the Stock Market
University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaperAbstract : This thesis investigates the impact of artificial intelligence (AI) tools on the stock market, focusing on its effects on risk, performance, and concerns. Through an analysis of existing literature and an experiment, this study aims to provide insights into the potential benefits and drawbacks of using AI in stock market trading. READ MORE
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2. An Artificial Neural Network Approach to Algorithmic Trading
University essay from Lunds universitet/Matematisk statistikAbstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE
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3. Predicting Forex Rates using Sentiment Analysis on Financial Articles
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : We develop a deep learning model that uses financial news articles and historical exchange rates to predict the rate for the Euro/US Dollar currency pair one hour ahead. From the articles’ titles and bodies we extract sentiment scores using two different transformer based classifiers – one for short text and one for long text. READ MORE
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4. Stock Price Prediction with Social Media Sentiment
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : This thesis investigates the correlation effects between social media sentiments and the stock price of AMZN and TSLA, by utilizing pre-trained machine learning models, so-called transformers, and lexicon-based models. The comments were fetched from two sources, Reddit and Twitter. READ MORE
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5. Predicting corporate financial distress- A deep neural network approach
University essay from Göteborgs universitet/Graduate SchoolAbstract : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. READ MORE