Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market

Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market

Nowadays, Machine Learning (ML) can serve as one of the solutions to accelerate the process of decision-making in forecasting daily stock market price movements. Nonetheless, inadequate number of research and lack of extensive data analysis using various ML models had limit the investors to apprecia...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hazirah Halul
التنسيق:	أطروحة
اللغة:	en_US
الموضوعات:	Machine Learning Walk-Forward Analysis traditional ML deep learning time series forecasting
الوصول للمادة أونلاين:	https://oarep.usim.edu.my/bitstreams/eb59f9ae-5075-4f6c-a7dd-d106ab802454/download https://oarep.usim.edu.my/bitstreams/2d6c01cf-8b55-48ec-acde-534f6767cf37/download https://oarep.usim.edu.my/bitstreams/3d7f769a-33c8-43af-9756-9121ebd4c278/download https://oarep.usim.edu.my/bitstreams/4c37d170-ded2-4c43-a020-10f018d1ac20/download https://oarep.usim.edu.my/bitstreams/c60b5dc0-b39b-41a2-a7d3-c9e163c4db29/download https://oarep.usim.edu.my/bitstreams/0f616eca-b603-4d19-829e-ccb4123024be/download https://oarep.usim.edu.my/bitstreams/6c382b10-8d4a-4fac-bc6e-22d03d8fa4a0/download https://oarep.usim.edu.my/bitstreams/10cb59c0-ded0-44b3-9034-fd5e1725bfcb/download
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مواد مشابهة

Time series analysis and improved deep learning model for electricity price forecasting /
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منشور في: (2022)

Support vector machines based methods for time series forecasting /
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Multi-step time series prediction using recurrent kernel online sequential extreme learning machine /
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منشور في: (2019)

Automated scanned receipt processing with optical character recognition and machine learning /
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منشور في: (2022)

Microcalcification detection in mammography for early breast cancer diagnosis using deep learning technique /
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Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
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Deep learning-based breast cancer detection and classification using histopathology images /
بواسطة: Murtaza, Ghulam
منشور في: (2021)

Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis /
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منشور في: (2022)

Detecting additive and innovational outliers in BL(p,0,1,1) process /
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Novice programmers' emotion and competency assessments using machine learning on physiological data /
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
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منشور في: (2021)

Time series prediction /
بواسطة: Bu, Yangmin
منشور في: (1996)

Improving deep learning approach for FMRI data /
بواسطة: Nur Farahana Mohd Suhaimi
منشور في: (2021)

Speech-based depression recognition for Bahasa Malaysia speakers using deep learning models /
بواسطة: Ezzi, Mugahed Al Ezzi Ahmed
منشور في: (2021)

Multi-label incremental kernel extreme learning machine for food recognition /
بواسطة: Chen, Sai
منشور في: (2022)

Progressive kernel extreme learning machine for food image analysis via optimal features /
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منشور في: (2022)

A deep learning framework for the defection of source code plagiarism using Siamese network and embedding models /
بواسطة: Manahi, Mohammed S.M
منشور في: (2021)

Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data /
بواسطة: Mulenga, Mwenge
منشور في: (2022)

Identification of ECG anomalies through deep deterministic learning /
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منشور في: (2020)

Image and video based emotion recognition using deep learning /
بواسطة: Arselan Ashraf
منشور في: (2021)

Study of major air, sea freight fowarders and shipping agents in Singapore and their financial needs and requirements /
بواسطة: Chew, Kok Leong
منشور في: (1993)

A study to forecast tourist flow into Peninsular Malaysia using time series modelling techniques /
بواسطة: Tan, Ka Eng
منشور في: (1986)

The role of the shipping organization in the through transport of freight between the United Kingdom and Europe /
بواسطة: Rich, Craig Anthony
منشور في: (1975)

Autism spectrum self-stimulatory behaviours classification using explainable temporal coherency deep network and SVM classifier /
بواسطة: Liang, Shuaibing
منشور في: (2022)

Multitasking deep neural network models for Arabic dialect sentiment analysis
بواسطة: Alali, Muath Mohammad Oqlah
منشور في: (2022)

The Estimation of missing values in time series using the combination of forecasts approach /
بواسطة: Rasimah Aripin
منشور في: (1994)

Penganggaran data tak lengkap siri masa ekonomi selang tak seragam dengan kaedah Benchmark
بواسطة: Phang, Chee Tat
منشور في: (1994)

Forecasting of pharmaceutical products using arima model and exponential smoothing / Nur Hayatul Afza Mohamed Fishal
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منشور في: (2021)

Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network /
بواسطة: Mahaseni, Behzad
منشور في: (2021)

Forecasting methods : a comparative study alternative classes (types) of time series models /
بواسطة: Ng, Lucas Courvoisier
منشور في: (1993)

An Assessment of Blended Learning Readiness among Students in Universiti Sains Islam Malaysia (USIM)
بواسطة: Moshood Nurudeen Atanda

Development of sensor-based machinery vibration assessment system for effective faults diagnostic in condition based maintenance using machine learning /
بواسطة: Syed Mohd Syafiq Syed Mahmud
منشور في: (2022)

Designing a compact deep learning model for image captioning /
بواسطة: Tan, Jia Huei
منشور في: (2022)

Studies on time series properties of forward discount in foreign exchange market /
بواسطة: Aidil Rizal Shahrin
منشور في: (2015)

An empirical evaluation of different estimation techniques of cointegrating vectors /
بواسطة: Tan, Khay Boon
منشور في: (1995)

Comparison between box-jenkins and fuzzy time series to predict crude palm oil production / Nurul Najiehah Azamil
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منشور في: (2021)

Inferences for integer-valued time series models /
بواسطة: Nurul Najihah Mohamad
منشور في: (2017)

Comparison between fuzzy time series [FTS] model and double exponential smoothing [DES] model in predicting the number of road traffic accidents / Bibi Nurul Idora Khairul Albar
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Predicting the outcomes of football matches using machine learning techniques /
بواسطة: Haruna, Usman
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A new hybrid method of intuitionistic fuzzy inference system for improving the performance of time series forecasting model
بواسطة: Herrini Mohd Pauzi

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