Essays about: "currency predicting"
Showing result 1 - 5 of 9 essays containing the words currency predicting.
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1. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. READ MORE
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2. 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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3. Hot Commodity? The Commodity Currency Hypothesis and the Financialisation of Commodity Markets
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Movements in the commodity markets can have profound effects on the global economy by affecting the cost of food, metal, and energy goods. As such, the prospect of predicting commodity price fluctuations, thereby allowing for better inflation control, production planning and even humanitarian aid, has long generated great interest. READ MORE
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4. Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
University essay from Lunds universitet/Matematisk statistikAbstract : This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. READ MORE
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5. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. READ MORE