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---
dataset_info:
features:
- name: date
dtype: date32
- name: stock
dtype: string
- name: title
dtype: string
- name: content
dtype: string
- name: trading_date
dtype: timestamp[ns]
- name: exact_trading_date
dtype: timestamp[ns]
- name: ts_-30
dtype: float64
- name: ts_-29
dtype: float64
- name: ts_-28
dtype: float64
- name: ts_-27
dtype: float64
- name: ts_-26
dtype: float64
- name: ts_-25
dtype: float64
- name: ts_-24
dtype: float64
- name: ts_-23
dtype: float64
- name: ts_-22
dtype: float64
- name: ts_-21
dtype: float64
- name: ts_-20
dtype: float64
- name: ts_-19
dtype: float64
- name: ts_-18
dtype: float64
- name: ts_-17
dtype: float64
- name: ts_-16
dtype: float64
- name: ts_-15
dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: ts_-2
dtype: float64
- name: ts_-1
dtype: float64
- name: ts_0
dtype: float64
- name: ts_1
dtype: float64
- name: ts_2
dtype: float64
- name: ts_3
dtype: float64
- name: ts_4
dtype: float64
- name: ts_5
dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: ts_10
dtype: float64
- name: ts_11
dtype: float64
- name: ts_12
dtype: float64
- name: ts_13
dtype: float64
- name: ts_14
dtype: float64
- name: ts_15
dtype: float64
splits:
- name: train
num_bytes: 101756779
num_examples: 82895
- name: test
num_bytes: 55328208
num_examples: 22645
download_size: 91629781
dataset_size: 157084987
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# US Stock News With Price
> A stock news and price dataset design for the alignment between financial news and the market. **Please only use for academic purpose.**
## 1. Data Description
* **date**: The date of the news published.
* **stock**: The symbol of the stocks the news related to. (checked by whether title or content has the company information.
* **title**: The title of the news.
* **content**: The content of the news.
* **trading_date**: Here is the assumed trading date, which should be the next date of the publish date.
* **exact_trading_date**: The exact next trading date after the news was made public.
* **ts_{-30...-1}**: Stock prices before the exact trading date. (30 trading days)
* **ts_0**: Stock prices of the exact trading date.
* **ts_{1...15}**: Stock prices after the exact trading date. (15trading days)
## 2.Data Split
* **Train phrase**: `exact_trading_date` < = '2021-12-31'.
* **Test phrase**: `exact_trading_date` > '2021-12-31'.
## 3. Citation
* To cite this dataset, please use the following BibTeX entry:
```
@misc{wang2024huggingface,
author = {Guoxuan Wang},
title = {US Stock News With Price: A stock news and price dataset design for the alignment between financial news and the market.},
year = {2024},
url = {https://huggingface.co/datasets/oliverwang15/us_stock_news_with_price},
note = {Available at Hugging Face.}
}
```
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