Stock Market Research Journal | IJSREAT Open Access Research
The Stock Market Research Journal focus at the International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) provides an interdisciplinary platform for research connecting stock market studies with computer science, information technology, artificial intelligence, machine learning, data analytics, financial technology, mathematical modeling, and emerging digital systems. IJSREAT is a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal dedicated to advancing research across Science, Engineering, and Technology.
Contemporary stock market research increasingly uses large datasets, computational models, predictive analytics, artificial intelligence, algorithmic techniques, and automated decision-support systems. Researchers can develop stock market research that combines financial analysis with technological innovation, statistical methods, machine learning, and data-driven methodologies.
📈 Stock Market Research Journal for Digital Finance
A stock market research journal can support interdisciplinary studies involving market analysis, financial forecasting, stock price prediction, volatility modeling, portfolio analytics, financial risk, algorithmic trading technologies, and data-driven investment systems. IJSREAT provides a technology-oriented environment for research with a meaningful connection to Science, Engineering, and Technology.
Researchers can investigate computer science with stock market research through machine learning, data science, predictive modeling, natural language processing, cloud computing, cybersecurity, blockchain, and intelligent decision-support systems. These computational approaches can help researchers analyze complex financial datasets and develop technology-driven market research methodologies.
💹 Stock Market and Interdisciplinary Research Scope
IJSREAT welcomes high-quality original research papers, review articles, and technical notes contributing to Science, Engineering, and Technology. Stock market studies may be positioned within the journal when they include a substantial technological, computational, engineering, mathematical, or interdisciplinary component.
- 💙 Computer Science and Information Technology
- 💚 Artificial Intelligence, Machine Learning, and Data Science
- 🧡 Stock Price Prediction and Market Forecasting
- 💜 Financial Data Analytics and Computational Finance
- ❤️ Portfolio Analytics and Intelligent Decision Support
- 💛 Market Volatility and Financial Risk Modeling
- 💙 Algorithmic Trading and Automated Financial Systems
- 💚 Natural Language Processing for Financial Market Analysis
- 🧡 Blockchain and Digital Financial Applications
- 💜 Applied Mathematics, Statistics, and Financial Modeling
The journal encourages interdisciplinary submissions that bridge financial market theory and technology-driven practice, supporting collaboration among researchers, academicians, computer scientists, engineers, financial analysts, and industry professionals.
⚡ Why Consider IJSREAT for Stock Market Research?
🚀 Rapid Peer Review
IJSREAT states that its strict peer review process delivers decisions within 3 days while maintaining its stated quality standards. This supports researchers seeking fast publication for timely stock market and technology-oriented research.
🌐 Open Access Policy
Open-access publication makes accepted research freely available online, supporting wider access to studies involving stock market analytics, financial technology, computational finance, data science, and digital financial systems.
⚙️ Efficient Publication Process
The streamlined workflow supports manuscript submission, editorial assessment, expert review, decision-making, and publication. Authors seeking rapid publication can monitor manuscript progress through the editorial management system.
🛡️ Plagiarism Protection
Rigorous plagiarism screening supports academic integrity and responsible scholarly publishing for stock market research and interdisciplinary technology studies.
📖 COPE Compliance
IJSREAT states that it follows COPE Best Practice Guidelines for publication ethics and responsible scholarly communication.
🌍 Impact Beyond Academia
Technology-oriented stock market research can contribute to financial forecasting, market analytics, risk assessment, portfolio analysis, predictive modeling, intelligent decision support, and digital financial innovation.
🎓 Google Scholar and Stock Market Research Visibility
Researchers searching for a stock market research journal often consider scholarly discoverability, peer review, publication ethics, accessibility, and publication workflow. IJSREAT lists Google Scholar among its indexing and abstracting services. Well-structured titles, abstracts, keywords, references, and author information can support the discoverability of scholarly stock market research.
Stock market studies incorporating computer science, artificial intelligence, machine learning, data analytics, natural language processing, cybersecurity, blockchain, cloud computing, and financial technology can address emerging challenges in technology-enabled financial markets.
📑 Indexing and Abstracting Services
IJSREAT provides the following indexing and abstracting information as part of its journal profile:
- 🔵 Google Scholar
- 🟢 Scribd
- 🟠 ISSUU
- 🟣 Elsevier Mendeley
- 🔴 EuroPub
- 🟡 DRJI
- 🔵 Academic Keys
- 🟢 Edocr
- 🟠 I2OR
- 🟣 PDFSR
- 🔴 ResearchBIB
- 🟡 SSRN
- 🔵 WorldCAT
- 🟢 Exlibris (part of Clarivate)
- 🟠 Thomson Reuters - Research ID
- 🟣 Semantic Scholar
- 🔴 Dimensions
- 🟡 PlumX
📝 Stock Market Research Publication Process
IJSREAT provides an author-oriented editorial workflow designed to support online submission, peer review, editorial decisions, and publication. The stated publication process includes:
- 📤 Submit Online: 24/7 submission through the editorial management system.
- 📩 Initial Response: Acknowledgment stated to be provided within 12 hours.
- 🔬 Expert Review: The stated workflow targets peer review within 2 days.
- 📋 Decision Notification: The stated process provides an acceptance or rejection decision within 3 days.
- 📄 Publication & Certificate: Instant PDF access and digital certificate after publication.
💰 Low Cost Stock Market Research Publication
IJSREAT follows an open-access publication model in which accepted articles are freely available online. The journal states that a minimal article processing fee is charged after manuscript acceptance to support online publication and continuous journal operations.
| Author Category | Publication Option | Fee |
|---|---|---|
| Indian Authors | Without DOI | ₹1200 + 18% GST |
| Indian Authors | With DOI | ₹1400 + 18% GST |
| Other than Indian Authors | With DOI | $80 USD |
These stated charges apply to Case Reports, Original Articles, and Review Articles. Authors should confirm the applicable publication fee and current terms before submission.
💻 Computer Science with Stock Market Research
The integration of computer science with stock market research creates opportunities for financial data mining, predictive analytics, algorithmic modeling, automated market analysis, intelligent forecasting, and technology-based decision-support systems.
Researchers can investigate machine learning models for stock price prediction, artificial intelligence for market sentiment analysis, data analytics for volatility evaluation, natural language processing for financial news analysis, and cloud-based systems for scalable financial applications.
🤖 Stock Market Research, AI, Data Analytics and FinTech
Artificial intelligence and data analytics provide important opportunities for stock market research. Machine learning can be applied to stock price forecasting, market trend analysis, volatility prediction, anomaly detection, portfolio analysis, sentiment classification, and intelligent financial decision support.
FinTech research can further explore algorithmic investment platforms, automated financial services, blockchain applications, secure digital transactions, cloud-based financial systems, and data-driven market technologies. These interdisciplinary studies can connect stock market research with computer science and emerging technology.
🖥️ Advanced Editorial Management System
Authors submitting stock market research can use the IJSREAT editorial management system to manage manuscript-related activities through a centralized online platform.
- 👤 Author Dashboard: Personalized account with submission history and status updates.
- 📊 Real-time Tracking: Monitor your manuscript's progress through every stage.
- 📑 Automated Documents: Instant generation of acceptance letters and copyright forms.
- ⬇️ Easy Downloads: One-click access to certificates and published papers.
📌 UGC CARE and Google Scholar Considerations
Researchers often consider terms such as UGC CARE, Google Scholar, peer-reviewed journal, DOI, open access, and indexing when evaluating publication venues. IJSREAT lists Google Scholar among its indexing and abstracting services. Any current UGC CARE status or inclusion should be independently verified by authors using the latest official information from the relevant authorities before making a publication decision.
Authors searching for a stock market research journal should also evaluate journal scope, peer review procedures, publication ethics, indexing information, article processing charges, DOI options, and manuscript requirements before submission.
📬 Contact IJSREAT for Stock Market Research
Authors and researchers can contact the editorial office for queries regarding manuscript scope, stock market research, technology-oriented studies, submission, peer review, publication charges, DOI options, and the suitability of interdisciplinary research.
📧 Email: editorinchief@ijsreat.com
🚀 Ready to Publish Your Stock Market Research?
Researchers seeking a stock market research journal for technology-oriented and interdisciplinary studies can submit manuscripts through the IJSREAT editorial management system. The online platform supports submission and manuscript tracking.
