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融合社交媒体文本与股价数据的股票走势预测研究
本项目旨在研究社交媒体情感与股票价格走势之间的关联,通过融合Twitter推文数据和股票历史价格数据,构建多模型股票涨跌预测系统,并进行模拟回测验证。研究覆盖6只科技股(AAPL、AMZN、GOOG、GOOGL、MSFT、TSLA),支持T+1和T+7两个时间维度的涨跌预测。
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