26 Aug 2026Open access
VMD-RDIC-DL: A Composite Relevance-Driven Hybrid Decomposition and Deep Learning Framework for Cryptocurrency ForecastingPublisher siteJournal of Computational and Cognitive Engineering, Stock Market Forecasting Methods
Active, last published 2026
In stock market forecasting methods
Maryam
Maatallah
Scholar“Research focused on Stock Market Forecasting Methods and adjacent fields.”
Mohammed V University
Morocco
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01 · About the work
What I study
aryam Maatallah is a researcher working on Stock Market Forecasting Methods. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Maryam's work has been cited 4 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Stock Market Forecasting Methods×4Blockchain Technology Applications and Security×3Cloud Computing and Resource Management×2
04 · Where I am
Affiliations
Affiliation on published researchMohammed V University, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works10 Mar 2026Open access
A Lambda Lakehouse Deep Learning Framework for Gold Price Forecasting in Financial MarketsPublisher siteStatistics Optimization & Information Computing, Stock Market Forecasting Methods
1 Jan 2026
Improving Cryptocurrency Forecasting Under Nonstationarity with a Multi-Scale VMD and BiLSTM StrategyPublisher siteLecture notes in networks and systems, Stock Market Forecasting Methods
21 Dec 2025Open access
A Lambda Lakehouse Architecture Bridging Streaming and Batch Intelligence in Volatile and Scalable Financial Data ProcessingPublisher siteStatistics Optimization & Information Computing, Blockchain Technology Applications and Security
19 Jun 2025
An Effective Real-Time Comparative Analysis of Lambda and Kappa ArchitecturesPublisher site1 Jan 2025Open access1cites
Toward a Unified Lambda-Kappa Architecture for Real-Time and Historical Processing with Data Lakehouse OptimizationPublisher siteSSRN Electronic Journal, Parallel Computing and Optimization Techniques
1 Jan 2025
Real-Time Data Processing and Big Data Analytics: A Comparative Study of Modern PlatformsPublisher siteLecture notes in networks and systems, Big Data and Business Intelligence
23 Oct 2024
Enhancing Forex Trading Predictions with Machine Learning: Cloud and Local Performance EvaluationPublisher siteExpert Academic Profiles go further
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