STOCK PRICE PREDICTION AND SIMULATION USING GEOMETRIC BROWNIAN MOTION-KALMAN FILTER: A COMPARISON BETWEEN KALMAN FILTER ALGORITHMS

STOCK PRICE PREDICTION AND SIMULATION USING GEOMETRIC BROWNIAN MOTION-KALMAN FILTER: A COMPARISON BETWEEN KALMAN FILTER ALGORITHMS

Stocks have high-profit potential but also have high risk.Many people have ways to forecast stock prices.The Geometric Brownian Motion (GBM) method forecasts stock prices.The data used in this study are closing stock price data from July 1, 2021 to August 31, Papaya 2021 taken from Yahoo! Finance.The stocks used in this research are Bank Rakyat Ind

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Perspectives on point cloud-based 3D scene modeling and XR presentation within the cloud-edge-client architecture

With the support of edge computing, the synergy and collaboration among central cloud, edge cloud, and terminal devices form an integrated computing ecosystem known as the cloud-edge-client architecture.This integration unlocks the value of data and computational Papaya power, presenting significant opportunities for large-scale 3D scene modeling a

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The Growing Phenomenon of Street Children in Tehran

This study examines the increasing phenomenon of street children in Tehran.It focuses on the challenges Lanyard and risks these children encounter and the overall implications on the general populace and the country as a whole.The study adopted both primary and secondary sources of data.The primary data were qualitative design (face-to-face intervi

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