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Short Term Prediction Framework for Moroccan Stock Market Using Artificial Neural Networks

https://doi.org/10.1145/3289402.3289520
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-45718-6_38openalex-snapshot
Hybrid Intelligent Systems for Stock Market Analysis
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Computational Science — ICCS 2002
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Neural-Based Method of Measuring Exchange-Rate Impact on International Companies’ Revenue
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An Efficient System for Stock Market Prediction
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Combining News and Technical Indicators in Daily Stock Price Trends Prediction
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Approximation by superpositions of a sigmoidal function
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A hybrid procedure with feature selection for resolving stock/futures price forecasting problems
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Empirical analysis: stock market prediction via extreme learning machine
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A novel recurrent neural network-based prediction system for option trading and hedging
inferredcites →https://doi.org/10.1007/s10614-011-9288-5openalex-snapshot
Nonlinearity in Forecasting of High-Frequency Stock Returns
inferredcites →https://doi.org/10.1016/j.asoc.2010.10.001openalex-snapshot
Predicting stock returns by classifier ensembles
inferredcites →https://doi.org/10.1016/j.cor.2004.03.015openalex-snapshot
A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market
inferredcites →https://doi.org/10.1016/j.dss.2013.09.013openalex-snapshot
Empirical evaluation of an automated intraday stock recommendation system incorporating both market data and textual news
inferredcites →https://doi.org/10.1016/j.eswa.2008.07.006openalex-snapshot
Surveying stock market forecasting techniques – Part II: Soft computing methods
inferredcites →https://doi.org/10.1016/j.eswa.2008.08.077openalex-snapshot
A neural network with a case based dynamic window for stock trading prediction
inferredcites →https://doi.org/10.1016/j.eswa.2011.04.127openalex-snapshot
A hybrid model based on adaptive-network-based fuzzy inference system to forecast Taiwan stock market
inferredcites →https://doi.org/10.1016/j.jkss.2015.07.002openalex-snapshot
Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis
inferredcites →https://doi.org/10.1016/j.neucom.2014.04.043openalex-snapshot
Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information
inferredcites →https://doi.org/10.1023/a:1020989601082openalex-snapshot
Exchange-Rates Forecasting: A Hybrid Algorithm Based on Genetically Optimized Adaptive Neural Networks
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2014/318524openalex-snapshot
Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.5120/2552-3497openalex-snapshot
Price Prediction of Share Market Using Artificial Neural Network 'ANN'

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Segmented Learning Architecture Model for Analytical Tax Revenue Forecasting Based on Electronic Invoice Information
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Artificial intelligence methods for financial market prediction: A systematic review
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Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric
inferred← citeshttps://doi.org/10.1109/access.2020.3030226openalex-snapshot
Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2025.3559169openalex-snapshot
A Multi-Market Data-Driven Stock Price Prediction System: Model Optimization and Empirical Study
inferred← citeshttps://doi.org/10.1109/aimv53313.2021.9670919openalex-snapshot
Stock Market Prediction through Artificial Intelligence, Machine Learning and Neural Networks
inferred← citeshttps://doi.org/10.1109/csicc65765.2025.10967454openalex-snapshot
LoopGAN: A Novel Multi-Step Generative Architecture for Sequential Stock Forecasting
inferred← citeshttps://doi.org/10.1109/rteict52294.2021.9573628openalex-snapshot
Long Short Term Memory and Non-linear Autoregressive Models for Prayer Time Prediction
inferred← citeshttps://doi.org/10.31893/multirev.2024060openalex-snapshot
Stock market and securities index prediction using artificial intelligence: A systematic review
inferred← citeshttps://doi.org/10.48084/etasr.5710openalex-snapshot
A Deep Learning Model for Predicting Stock Prices in Tanzania
inferred← citeshttps://doi.org/10.48550/arxiv.2006.04069openalex-snapshot
Fusion Recurrent Neural Network
inferred← citeshttps://doi.org/10.58694/20.500.12479/2204openalex-snapshot
Deep learning model for predicting stock prices in Tanzania
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