Deep Learning Architectures Deployed on Cloud Platforms for Dynamic Financial Risk Evaluation and Market Prediction
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V5I5P102Keywords:
Cloud-Based Deep Learning, Real-Time Financial Risk Assessment, Market Forecasting Systems, Financial Decision Support, Cloud Computing In Finance, Scalable Financial Ai Architectures, Structured And Unstructured Financial Data Ingestion, Feature Engineering For Risk Signals, Deep Reinforcement Learning In Finance, Personalized Portfolio Risk Assessment, High-Net-Worth Individual Decision Support, Time-Series Modeling In The Cloud, Low-Latency Financial Prediction, Recurrent Neural Networks In Finance, Transformer-Based Financial Models, Ensemble Market Forecasting, Correlated Asset Prediction, Probabilistic Forecasting And Uncertainty Quantification, Strategic Trading Decision Support, Cloud-Native Financial AnalyticsAbstract
The financial services industry requires accurate, real-time risk assessments and market predictions amid increasingly volatile global markets. This research investigates deep learning model deployment within cloud computing environments to enable scalable and timely financial risk analysis and market forecasting. Traditional forecasting methods prove inadequate for processing massive volumes of heterogeneous financial data. We examine cloud-based deep learning frameworks leveraging distributed computing and advanced neural network architectures including RNNs, LSTMs, and transformers for time-series analysis, credit risk assessment, and volatility prediction. The study evaluates real-time market data processing incorporating historical prices, trading volumes, and sentiment analysis while addressing challenges including data security, latency requirements, and regulatory compliance. Empirical evaluation demonstrates that cloud-based deep learning systems achieve superior prediction accuracy, reduced latency, and enhanced adaptability to market changes, providing financial institutions with powerful tools for proactive risk management and competitive advantage.
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