Essays about: "price prediction."

Showing result 21 - 25 of 165 essays containing the words price prediction..

1. 21. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
   Keywords : Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

   Abstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE

3. 22. Sequential Machine Learning in Material Science

   University essay from KTH/Matematik (Avd.)

   Author : Victor Bellander; [2023]
   Keywords : Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

   Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE

4. 23. Swedish Stock and Index Price Prediction Using Machine Learning

   University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Author : Henrik Wik; [2023]
   Keywords : Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

   Abstract : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. READ MORE

5. 24. Pumped-Storage Hydroelectricity for a Sustainable Electricity Transition

   University essay from KTH/Numerisk analys, NA

   Author : Teodor Elmfeldt; [2023]
   Keywords : Pumped-storage hydroelectricity; Electric grid; Computational Mathematics; Juktan Power Station; Applied mathematics; Power system; Sustainability; Pumpkraft; Elnät; Beräkningsmatematik; Juktan Kraftverk; Tillämpad mate- matik; Elkraftteknik; Hållbarhet;

   Abstract : This master thesis explores the application of Pumped-Storage Hydroelectricity (PSH) within an electricity market characterised by a substantial share of renewable and intermittent electricity production. The purpose of PSH is to enhance the alignment of supply with demand by storing energy at electricity surplus and releasing it during shortage. READ MORE

6. 25. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isabella Mustén Ross; [2023]
   Keywords : Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

   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