Artificial intelligence driven predictive analytics system for stock market forecasting, has data acquisition module for collecting historical stock market data, real-time financial news, economic indicators, corporate announcements and social media sentiment data from sources
	HARISH M; ALAGAPPAN C; THARINI R S; POORNIMA A; SOWMIYA M; PRIYA K
	2025-04-01
专利权人	HARISH M (HARI-Individual) ; ALAGAPPAN C (ALAG-Individual) ; THARINI R S (THAR-Individual) ; POORNIMA A (POOR-Individual) ; SOWMIYA M (SOWM-Individual) ; PRIYA K (PRIY-Individual)
申请日期	2025-04-01
专利号	IN202541032232-A
成果简介	NOVELTY - The system has a data acquisition module for collecting historical stock market data, real-time financial news, economic indicators, corporate announcements, and social media sentiment data from multiple sources. A data preprocessing unit cleans, normalizes, and transforms the acquired data using feature engineering techniques to extract key financial indicators e.g. moving averages, volatility indexes and trading volumes. A machine learning (ML) engine applies deep learning models comprising long short-term memory (LSTM) networks, recurrent neural networks (RNNs), and ensemble learning techniques to generate accurate stock price predictions based on historical patterns and real-time data. USE - Artificial intelligence (AI) driven predictive analytics system for stock market forecasting. Can also be for investors in financial institutions and market analysts. ADVANTAGE - The system improves forecasting accuracy and scalability for high-frequency trading and portfolio management applications, integrates real-time market sentiment analysis for improved decision-making and machine learning (ML), deep learning, sentiment analysis and big data analytics to enhance the accuracy and reliability of stock price forecasts, adapts to volatile market conditions, leverages real-time data acquisition, sophisticated modeling techniques, and risk assessment mechanisms, empowers investors, traders, and financial institutions to make data-driven investment decisions with greater confidence, continuously refines predictions, is highly effective in dynamic and volatile market conditions, achieves blockchain integration for secure and transparent trading recommendations, executes trades based on real-time predictive insights, expands the model to incorporate global macroeconomic factors, alternative financial datasets and cross-market correlations, predicts crypto currency trends, forex markets, and commodity prices, provides versatile financial analytics tool and actionable insights, risk assessments, and real-time alerts, bridges the gap between traditional financial analysis and modern AI-driven predictive techniques and ensures a smarter and data driven approach to stock market trading. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the AI driven predictive analytics system.
IPC 分类号	G06N-020/00 ; G06Q-040/04 ; G06Q-040/06
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13262
专题	中国科学院新疆生态与地理研究所
作者单位	1.HARISH M (HARI-Individual) 2.ALAGAPPAN C (ALAG-Individual) 3.THARINI R S (THAR-Individual) 4.POORNIMA A (POOR-Individual) 5.SOWMIYA M (SOWM-Individual) 6.PRIYA K (PRIY-Individual)
推荐引用方式 GB/T 7714	HARISH M,ALAGAPPAN C,THARINI R S,et al. Artificial intelligence driven predictive analytics system for stock market forecasting, has data acquisition module for collecting historical stock market data, real-time financial news, economic indicators, corporate announcements and social media sentiment data from sources. IN202541032232-A[P]. 2025.

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