Please view the posters presented at the 19th Annual City Tech Faculty and Student Research Poster Session below. You can click on each poster to enlarge it and view the PDF version under the poster abstract.
We thank all presenters for sharing their innovative and informative research with the City Tech community and beyond!
23-Bitcoin Prediction Using Deep Learning
Bitcoin has suddenly gotten a lot of attention from stakeholders and the general public as a result of its recent price increase. Multiple academics have examined numerous elements that impact the price of Bitcoin and the patterns underlying its fluctuations using various analytical and predictive approaches since Bitcoin has been considered as a financial asset and is traded through many cryptocurrency exchanges. Among the various forms of virtual currencies, Bitcoin is widely accepted by various groups such as investors, academics, and dealers. We have developod efficient deep learning-based prediction models that perform machine learning based classification and regression models for predicting Bitcoin price movements and prices in short and medium terms, especially using long short-term memory (LSTM) and gated recurrent unit (GRU), in order to deal with Bitcoin price volatility and achieve high precision. These practical models are of high performance, scoring 65% accuracy for next day forecast and 62%-64% accuracy for seven-nine day forecast. View or download a PDF version of this poster.
