AI-DRIVEN TRADING ANALYSIS PLATFORM:ARCHITECTURE, MODELS, RISK CONTROLS, AND OPERATIONAL FRAMEWORK
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The Trading AI Analysis platform is an intelligent, modular system designed to support systematic trading decisions through the integration of machine learning, real-time market data pipelines, and quantitative signal generation. Built on an event-driven architecture comprising five principal layers — Data Ingestion, Feature Engineering, Model Layer, Signal Engine, and Risk & Execution — the platform processes real-time and historical market data. The system deploys an ensemble of AI models including LSTM networks, Transformer architectures, Gradient Boosting, and XGBoost classifiers. A structured signal schema delivers directional recommendations with confidence scores and risk flags. Robust pre-trade and real-time risk controls enforce position limits, circuit breakers, and compliance constraints. All signals and decisions are persisted in an immutable audit log ensuring full regulatory compliance over a seven-year retention period.
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S, R., D.E, R. N. K. & R, S. R. (2026). AI-Driven Trading Analysis Platform:Architecture, Models, Risk Controls, and Operational Framework. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.014
S, Ruban, et al.. "AI-Driven Trading Analysis Platform:Architecture, Models, Risk Controls, and Operational Framework." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.014.
S, Ruban,Raghu D.E, and Sithik R. "AI-Driven Trading Analysis Platform:Architecture, Models, Risk Controls, and Operational Framework." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.014.
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