Wyniki wyszukiwania dla: nasdaq

• ARIMA vs LSTM on NASDAQ stock exchange data

  Publikacja

  • D. Kobiela
  • D. Krefta
  • W. Król
  • P. Weichbroth

  - Procedia Computer Science - Rok 2022

  This study compares the results of two completely different models: statistical one (ARIMA) and deep learning one (LSTM) based on a chosen set of NASDAQ data. Both models are used to predict daily or monthly average prices of chosen companies listed on the NASDAQ stock exchange. Research shows which model performs better in terms of the chosen input data, parameters and number of features. The chosen models were compared using...

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• Exploring Stock Traders’ Cognitive Biases: Research Design and Simulator Framework

  Publikacja

  • M. Tkacz
  • J. Żurada
  • P. Weichbroth

  - Rok 2023

  Cognitive bias is a phenomenon that has been extensively studied in stock trading and many other fields. This paper presents a framework for a Mobile Stock Trading Simulator (MSTS) that facilitates automatic investment in stocks with minimal human influence, by investigating the behavioral patterns and cognitive errors of stock market investors. The paper aims to determine whether investors’ investment strategies can be improved...

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