| Method for predicting stock market trends using machine learning and deep learning models to provide investors with data-driven insights for better investment decisions, involves developing stock prediction model using LSTM (Long Short-Term Memory) and other artificial intelligence (AI) techniques | |
| 2025-04-04 | |
| 专利权人 | KHADAKBAN M (KHAD-Individual) ; KHEDKAR P (KHED-Individual) ; MULANI A (MULA-Individual) ; KHAN A (KHAN-Individual) ; RAI A (RAIA-Individual) ; DAWANDE N A (DAWA-Individual) ; MUKHEDKAR M M (MUKH-Individual) |
| 申请日期 | 2025-04-04 |
| 专利号 | IN202521033321-A |
| 成果简介 | NOVELTY - The method involves developing a stock prediction model using LSTM (Long Short-Term Memory) and other artificial intelligence (AI) techniques. The historical price movements and key technical indicators, such as Moving Averages, RSI, MACD, etc. are analyzed. The sentiment analysis is implemented to assess the impact of news on stock prices. The real-time data visualization is provided for stock trends and forecasts. The insights are delivered on risk assessment and portfolio diversification strategies. USE - Method for predicting stock market trends using machine learning and deep learning models to provide investors with data-driven insights for better investment decisions. ADVANTAGE - The system analyzes historical stock prices, technical indicators, and sentiment analysis from financial news to generate predictions and assist investors in making data-driven trading decisions. The system leverages machine learning and deep learning models to provide investors with data- driven insights for better investment decisions, and provides real-time data visualization for stock trends and forecasts to deliver insights on risk assessment and portfolio diversification strategies. DESCRIPTION OF DRAWING(S) - The drawing shows a flow chart of a method for predicting stock market trends using machine learning and deep learning models to provide investors with data-driven insights for better investment decisions. |
| 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/13205 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | 1.KHADAKBAN M (KHAD-Individual) 2.KHEDKAR P (KHED-Individual) 3.MULANI A (MULA-Individual) 4.KHAN A (KHAN-Individual) 5.RAI A (RAIA-Individual) 6.DAWANDE N A (DAWA-Individual) 7.MUKHEDKAR M M (MUKH-Individual) |
| 推荐引用方式 GB/T 7714 | KHADAKBAN M,KHEDKAR P,MULANI A,et al. Method for predicting stock market trends using machine learning and deep learning models to provide investors with data-driven insights for better investment decisions, involves developing stock prediction model using LSTM (Long Short-Term Memory) and other artificial intelligence (AI) techniques. IN202521033321-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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