NLPify GCC News Sentiment Dataset

NLPify GCC News Sentiment Dataset provides sentiment scores on GCC equities sourced from multiple financial news APIs that aggregate Middle Eastern financial news from major news outlets and publications.

Sentiment scores and related metadata are published on a daily basis at 4pm Dubai time.

Dataset type: News<br/>Sentiment Feed Type: Structured<br/>Applicable Asset Classes: Publicly Listed Companies

MARKETS COVERED:

- Saudi Exchange (Tadawul)
- Abu Dhabi Exchange (ADX)
- Dubai Financial Markets (DFM)
- Nasdaq Dubai
- Qatar Stock Exchange (QSE)
- Boursa Kuwait
- Bahrain Bourse
- Muscat Stock Exchange (MSX)

USE CASES:<br/>Our client portfolio are currently using NLPify GCC News Sentiment Dataset in the following areas:

- Sales Trading
- Sell-Side Research
- Treasury
- Discretionary Asset Management
- Risk Management (via sentiment-driven surveillance)
- Hedge Funds
- Investor Relations

PRODUCT DETAILS<br/>The data schema is organized in 11 distinct metrics:

- published_date
- ticker
- sentiment_daily
- sentiment_7MA
- sentiment_30MA
- sentiment_90MA
- attention_buzz_daily
- attention_buzz_7RSUM
- attention_buzz_30RSUM
- attention_buzz_90RSUM
- attention_buzz_weighted_sentiment

Description of table fields:

- PUBLISHED_DATE: The date and time at which the news headline was published, formatted as YYYY-MM-DD HH:MM:SS. This timestamp provides precise information on when the news item became public in GST (UTC+4) timezone.
- TICKER: The stock symbol for the company as per the trading system of the exchange it's listed on.
- SENTIMENT_DAILY: The sentiment score derived from the analysis of the news headline for the ticker on the specific published date and time, ranging from -1 (negative) to +1 (positive).
- SENTIMENT_7MA: The 7-day moving average of the news headline sentiment score for the ticker, smoothing out daily sentiment fluctuations to show a clearer trend.
- SENTIMENT_30MA: The 30-day moving average of the news headline sentiment score, providing a medium-term perspective on how sentiment from news headlines is trending for the company.
- SENTIMENT_90MA: The 90-day moving average of the news headline sentiment score, offering a long-term view of the company's sentiment trend based on news headlines.
- ATTENTION_BUZZ_DAILY: A measure of the media focus or interest in the ticker, quantified by the count of news headlines in which the ticker was mentioned.
- ATTENTION_BUZZ_7RSUM: The total media focus or interest in the ticker over the past 7 days, quantified by the count of news headlines in which the ticker was mentioned on a 7-day rolling sum basis.
- ATTENTION_BUZZ_30RSUM: The total media focus or interest in the ticker over the past 30 days, quantified by the count of news headlines in which the ticker was mentioned on a 30-day rolling sum basis.
- ATTENTION_BUZZ_90RSUM: The total media focus or interest in the ticker over the past 90 days, quantified by the count of news headlines in which the ticker was mentioned on a 90-day rolling sum basis.
- ATTENTION_BUZZ_WEIGHTED_SENTIMENT: The news headline sentiment score for the day, weighted by the volume of headlines the ticker received, combining sentiment with the level of attention.

搜集汇总

背景与挑战

背景概述

该数据集提供海湾合作委员会地区主要证券交易所上市公司的每日新闻情感评分，涵盖8个中东市场，包含11个结构化指标如情感分数和媒体关注度。数据应用于销售交易、风险管理等多个金融领域，每日下午4点（迪拜时间）更新。