System for stock market prediction using machine learning and real time interaction, has processor to execute instructions to compute machine learning algorithms and interact with user interface, where user interface provides visualizations of predicted stock price trends
	KUMAR S; SREESHA T; BATNY A S; PRABHU S; BHAT S V
	2023-10-11
专利权人	SHRI MADHWA VADIRAJA INST TECHNOLOGY (SHRI-Non-standard)
申请日期	2023-10-11
专利号	IN202341068143-A
成果简介	NOVELTY - The system has a memory (109) for storing instructions and data. A server (105) interacts with a data source. A network (103) facilitates communication between components. A processor (107) executes instructions to compute machine learning algorithms and interact with a user interface (101). The user interface provides visualizations of predicted stock price trends and performance metrics. The network provides communication and data exchange between different components of the system and external data sources. The server utilizes the processor's computational power for data preprocessing, model training, and prediction generation. A data collection module gathers data from diverse sources e.g. stock exchanges. USE - System for stock market prediction using machine learning and real time interaction in financial markets by investors. ADVANTAGE - The system enables avoiding emotional trading, understanding risk tolerance, and seeking professional advice to make more informed and strategic investment decisions while managing potential risks. The system allows a user to make informed investment decisions in the stock market, thus reducing risks associated with stock market trading and mitigating potential losses and preserving capital, and hence minimizing impact of poor performance from a single stock or sector, and reducing overall portfolio risk by not relying heavily on success of few investments. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a system for stock market prediction using machine learning and real time interaction. 101User interface 103Network 105Server 107Processor 109Memory
IPC 分类号	G06N-020/00 ; G06N-020/20 ; G06N-003/08 ; 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/20046
专题	中国科学院新疆生态与地理研究所
作者单位	SHRI MADHWA VADIRAJA INST TECHNOLOGY (SHRI-Non-standard)
推荐引用方式 GB/T 7714	KUMAR S,SREESHA T,BATNY A S,et al. System for stock market prediction using machine learning and real time interaction, has processor to execute instructions to compute machine learning algorithms and interact with user interface, where user interface provides visualizations of predicted stock price trends. IN202341068143-A[P]. 2023.

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