Stock indicator scanner customization tool using deep reinforcement learning

QR Code

Stock indicator scanner customization tool using deep reinforcement learning

Nowadays, there have some applications provide predictive model for user to predict the stock trend, however user cannot customize the type of input data used in the predictive models. User cannot use the indicator that they prefer to make the prediction. Other than that, many current stock indicato...

Full description

Bibliographic Details
Main Author:	Cheong, Desmond YongHong
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	Q Science (General) T Technology (General)
Online Access:	http://eprints.utar.edu.my/4647/ http://eprints.utar.edu.my/4647/1/fyp_CS_2022_CDY.pdf

Similar Items

Stock indicator scanner customization tool
by: Cheah, Shing Dhee
Published: (2022)

Deep reinforcement learning to multi-agent deep reinforcement learning
by: Samieiyeganeh, Mehdi, et al.
Published: (2022)

The integrated biological indicator as a tool for detection of river pollution
by: Sohaili, Johan, et al.
Published: (2005)

Hysteresis compensation for piezoelectric tube scanner in atomic force microscopy
by: Othman, Yahya Sheriff, et al.
Published: (2012)

Detection of robbery-related concepts using deep learning
by: Vivaaindrean, Ng Shamir Ng
Published: (2020)

Deep Reinforcement Learning For Control
by: Bakar, Nurul Asyikin Abu
Published: (2021)

Video surveillance using deep learning with few data samples
by: Lian, Yee Fu
Published: (2020)

Deep learning detector for pests and plant disease recognition
by: Ileladewa, Oluwatimilehin Adekunle
Published: (2020)

DEVELOPMENT OF STOCK MARKET PREDICTION MOBILE SYSTEM IN BLUE CHIP STOCKS FOR MALAYSIA SHARE MARKET USING DEEP LEARNING TECHNIQUE
by: Chong, Fong Kim, et al.
Published: (2020)

Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
by: Chan, Kah Him, et al.
Published: (2023)

Brain tumor image segmentation using deep learning approach
by: Darshan, Suresh
Published: (2022)

Frequency based hysteresis compensation for piezoelectric tube scanner using artificial neural networks
by: Othman, Yahya Sheriff, et al.
Published: (2012)

Pilot study of breast cancer classification using deep learning approach
by: Chong, Kim Yew
Published: (2020)

Two sensor based H-infinity control of a piezoelectric tube scanner
by: Mahmood, Iskandar Al-Thani, et al.
Published: (2008)

Network scanner / Anisyahayati Ismail
by: Anisyahayati, Ismail
Published: (2005)

An optimal near-infrared subcutaneous vein extraction using deep learning.
by: Chan, Xiao Jing
Published: (2022)

Bacterial indicator concentrations in a local ecological sanitation (Ecosan) system
by: Leanne, Marian Hong
Published: (2008)

Multiobjective deep reinforcement learning for recommendation systems
by: Ee, Yeo Keat, et al.
Published: (2022)

Student attendance system using barcode scanner
by: Nur Zalfarina, Azmee
Published: (2014)

Deep learning for face detection using matlab
by: Slim, Salim Adnan
Published: (2020)

Deep learning-based approach in plant species identification / Tan Jing Wei
by: Tan, Jing Wei
Published: (2018)

An application for identifying movies from plot with word embeddings and deep learning
by: Kean, Soh Zhe Herng
Published: (2023)

Object based segmentation and analysis using deep learning algorithm for cats and dogs images
by: N.Rajandhiran, Shreevishal
Published: (2023)

Deep learning inference on edge device: Traffic violation detection using OpenVino
by: Chiew, Jing Cheng
Published: (2023)

A smart cache content update policy based on deep reinforcement learning
by: Li, Lincan, et al.
Published: (2020)

A Low Cost 3D Foot Scanner for Custom-Made Sports Shoes
by: Zahari, Taha, et al.
Published: (2013)

Development of demand forecasting model for inventory management using deep learning approach via transfer learning
by: Tan, Wei Qing
Published: (2023)

Development of ceramics cutting tool for machining using aluminium oxide reinforced with copper powder
by: Muhammad Aiman, Ishak
Published: (2016)

Multi-objective deep reinforcement learning for recommendation systems
by: Keat, Ee Yeo, et al.
Published: (2022)

A framework to automate time series data collection using mobile phone for deep learning training and deployment
by: Lim, Jason Jing Wei
Published: (2019)

Combination of generative artificial intelligence and deep reinforcement learning: performance comparison
by: Lim, Fang Nie
Published: (2024)

Vision-based violence detection through deep learning
by: Koh, Wei Zhe
Published: (2024)

Short Course by FK Reinforcement Learning on Video Game
by: Mritha, Ramalingam
Published: (2021)

Malaysian science and technology indicators 2010
Published: (2010)

Online concept-mapping as an innovative tool for assessment of deep learning
by: Ling, Nicholas Sui Chong, et al.
Published: (2017)

Study on Image Background Removal using Deep Learning
by: Fakruddin Ali, Ahmed, et al.
Published: (2024)

Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
by: Amjad, Iqbal
Published: (2022)

Anomaly detection with Attention-based deep autoencoder
by: Yong, Hong Long
Published: (2022)

Stock Market Performance And Modern Portfolio Theory: Case On Malaysian Stock Market And Asian Indices
by: Noor Azlinna, Azizan, et al.
Published: (2014)

The Efficacy of Deep Learning-Based Mixed Model for Speech Emotion Recognition
by: Uddin, Mohammad Amaz, et al.
Published: (2022)