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Predicting Financial Market Movements Through Time Series A..:

, In: 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE),

Reddy, B Amarnath ; Kathiriya, Harsh ; Thapliyal, Nitin... - p. 1-6 , 2024

Link: https://doi.org/10.1109/AMATHE61652.2024.10582135

RT 
T1 <cTitle>2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)</cTitle>: T1 <Title>Predicting Financial Market Movements Through Time Series Analysis and Advanced Machine Learning Algorithms</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10582135&Exemplar=1&LAN=DE
				
A1 Reddy, B Amarnath
A1 Kathiriya, Harsh
A1 Thapliyal, Nitin
A1 Vasuki, S.
A1 Sachdeva, Meena
A1 Shobana, A.
YR 2024
K1 Analytical models
K1 Accuracy
K1 Time series analysis
K1 Forestry
K1 Predictive models
K1 Time measurement
K1 Stakeholders
K1 Auto Regressive Integrated Moving Average (ARIMA)
K1 Random Forest (RF)
K1 Time Series Analysis
K1 Machine Learning
K1 Financial Market Predictions
K1 Forecasting Accuracy
K1 Mean Absolute Error
K1 Mean Squared Error
K1 Root Mean Squared Error
K1 R-squared
K1 Hybrid Model
K1 Parameter Tuning
K1 Ensemble Strategies
K1 Financial Decision-Making
K1 Synergy
K1 Adaptability
K1 Diverse Market Conditions
SP 1
OP 6
LK http://dx.doi.org/https://doi.org/10.1109/AMATHE61652.2024.10582135
DO https://doi.org/10.1109/AMATHE61652.2024.10582135
SF ELIB - SuUB Bremen

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