开放资源库 · 软件项目
moneeshreddych/Stockprizepredictor
A machine learning-based stock price prediction system that combines financial news sentiment analysis (FinBERT) with historical market data using a Temporal Fusion Transformer (TFT) to forecast stock price movements. The project integrates NLP and time-series forecasting to improve prediction accuracy and support data-driven investment decisions.
← 返回资源筛选结果RESOURCE OVERVIEWRESEARCH USE PROFILE适用任务物理求解、集成建模、工程仿真、数据处理与研究工作流构建 使用准备核对软件版本、依赖环境、输入格式、求解设置与示例算例 核验重点正式研究应完成代码验证、基准对比、结果复现和必要的实验验证
资源说明
A machine learning-based stock price prediction system that combines financial news sentiment analysis (FinBERT) with historical market data using a Temporal Fusion Transformer (TFT) to forecast stock price movements. The project integrates NLP and time-series forecasting to improve prediction accuracy and support data-driven investment decisions.
研究使用指引
RESOURCE FEEDBACK
资源信息需要更新？
可报告链接失效、文件异常、信息错误或版本变化，我们会核对并更新资源记录。