Patent classifications
G06Q40/0631
Method to leverage Neural Networks and Large Language Models for Reliable Financial Forecasting, Analysis and Business Intelligence
A system and method for leveraging small language models and neural networks to perform reliable financial forecasting, analysis, and business intelligence. The invention integrates mind maps, retrieval-augmented generation, fine-tuned AI models, and high-security infrastructure to deliver accurate and explainable financial insights from natural language prompts. The mind maps can interact with a small language model to build artificial brain and logic layer. The small language model allows users to query financials using natural language and returns context-aware explanations. There is a Named Entity Recognition (NER) model that uses spaCy and runs in asynchronous execution. Retrieval-augmented generation (RAG) is used to enhance reliability of responses. The type of artificial intelligence includes machine learning, deep learning, and neural networks. There can be knowledge graphs for each financial caption with structured node relationships. Data security is enforced using authorization, JWT authentication, MFA, geo-fencing, and on-premise SLM training.
Dynamically-generated electronic database for portfolio selection
A system for creating a financial instrument selection, sharing the selection, and executing trade instructions thereof: a selector engine for creating selection parameters according to a statistical model for weighting desirability of financial instruments combined with entered user selection preferences or objectives for financial instruments, creating investment portfolios of financial instruments based on the selection parameters, and converting the investment portfolios data to output data representing trade instructions of financial instruments; a deep learning decision engine providing predicative input data and an investment sharing and democratization and portfolio monitoring module providing peer investment portfolio shared data input to the selector engine; and an execution platform for executing the trade instructions, the execution platform including electronic selection limiters to prevent execution of specific trades based on electronic flags computed from electronic checks relating to the amounts and types of the trades.