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HexQuant/Stocks-Daily-Price

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Hugging Face2025-12-22 更新2026-03-29 收录
下载链接:
https://hf-mirror.com/datasets/HexQuant/Stocks-Daily-Price
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--- language: - en license: other task_categories: - tabular-regression features: - name: symbol dtype: string - name: date dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: int64 - name: adj_close dtype: float64 extra_gated_prompt: "To get access to this dataset, you must subscribe to Papers With Backtest. To subscribe, go to https://paperswithbacktest.com/ > Login > Choose Your Plan > Subscribe." --- # Dataset Information This dataset includes daily price data for various stocks. ## Instruments Included - 7000+ US Stocks ## Dataset Columns - `symbol`: The symbol of the stock. - `date`: The date of the data. - `open`: The opening price of the stock. - `high`: The highest price of the stock. - `low`: The lowest price of the stock. - `close`: The closing price of the stock. - `volume`: The volume of the stock. - `adj_close`: The adjusted closing price of the stock. ## Data Splits The data is split into a training set. ## Dataset Maintenance The dataset is updated on a monthly basis by [Papers With Backtest](https://paperswithbacktest.com).

--- language: - 英语(en) license: 其他 task_categories: - 表格回归(tabular-regression) features: - name: 股票代码(symbol) dtype: string - name: 日期(date) dtype: string - name: 开盘价(open) dtype: float64 - name: 最高价(high) dtype: float64 - name: 最低价(low) dtype: float64 - name: 收盘价(close) dtype: float64 - name: 成交量(volume) dtype: int64 - name: 复权收盘价(adj_close) dtype: float64 extra_gated_prompt: "如需获取本数据集的访问权限,您需订阅Papers With Backtest。订阅流程为:访问 https://paperswithbacktest.com/ > 登录 > 选择您的套餐 > 完成订阅。" --- # 数据集概况 本数据集涵盖多只股票的每日行情数据。 ## 包含标的 - 7000余只美国上市股票 ## 数据集字段 - `股票代码(symbol)`:对应股票的交易代码 - `日期(date)`:数据对应的交易日 - `开盘价(open)`:该股票当日的开盘价格 - `最高价(high)`:该股票当日的最高成交价格 - `最低价(low)`:该股票当日的最低成交价格 - `收盘价(close)`:该股票当日的收盘价格 - `成交量(volume)`:该股票当日的成交总量 - `复权收盘价(adj_close)`:该股票当日的经调整收盘价格 ## 数据划分 本数据集仅划分为训练集。 ## 数据集维护 本数据集由[Papers With Backtest](https://paperswithbacktest.com)按月更新维护。
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