Essays about: "Financial memory"
Showing result 6 - 10 of 38 essays containing the words Financial memory.
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6. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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7. Challenges of Online Security for Senior Citizens
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Senior citizens are among the most vulnerable groups of cyber victimization in today’s contexts. Ensuring online security for the elderly has become extremely critical as the global elderly population is on the rise and the incident of cyber victimization is rapidly growing causing financial and societal problems for them. READ MORE
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8. 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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9. 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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10. 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