Brain Sentiment Indicator for Crypto - Live Feed

The Brain Sentiment Indicator (Crypto version) monitors public financial news for 60+ of the major cryptocurrencies from thousands of financial media sources in 33 languages. The sentiment scoring technology is based on a combination of various Natural Language Processing techniques.

The sentiment score assigned to each crypto is a value ranging from -1 (most negative) to +1 (most positive) that is updated with a daily frequency.
The sentiment score corresponds to the average of sentiment for each piece of news and it is available on three time scales; 1 day, 7 days and 30 days.

Additional fields measuring the number of stories published and the level of attention (buzz) received from financial media are also available.

The data set contains historical data from June 2019 and live data updated daily within 4am UTC.

The main schema is called "SENTIMENTS" and contains three tables:

- "SENTIMENTS_DAYS_1" contains the metrics calculated taking into account the news articles of the previous day

- "SENTIMENTS_DAYS_7" contains the metrics calculated taking into account the news articles of past 7 days

- "SENTIMENTS_DAYS_30" contains the metrics calculated taking into account the news articles of past 30 days

Some of the key fields in each table are:

- CALCULATION_DATE: The calculation date for the sentiment score and related metrics in format YYYY-MM-DD. For example a CALCULATION_DATE equal to '20181010' means that for each asset the metrics are caculated using the average of news articles for the previous time interval (7 days or 30 days depening on the selected table). In the case of 7 days horizon this corresponds to the news articles between 2018-09-03 00:00:00 UTC and 2018-10-09 23:59:59 UTC.

- SYMBOL: Identifier for each crypto, e.g. "bitcoin"

- VOLUME: Number of news articles detected for the asset in the previous time interval (7 days or 30 days depening on the selected table).

- SENTIMENT_SCORE: Sentiment score from -1 to 1 where 1 is the most positive and -1 the most negative. The sentiment score is calculated as an average of sentiment of news articles collected for the specific asset in the previous time interval (7 days or 30 days depening on the selected table).

- BUZZ_VOLUME: Buzz score that quantifies how much attention in terms of news VOLUME one asset is receiving compared to the past. This is calculated by considering the VOLUME distribution of past six months. Then the buzz is calculated as current VOLUME minus average of VOLUME for past 6 months in units of standard deviations. A value close to 0 means that the stocks is covered by a VOLUME of stories similar to its past average, a value larger than 0 gives how many standard deviations the current VOLUME is larger than average. The value is reported only if there are enough stories in the past to estimate a reliable value.

DISCLAIMER

The content of this dataset is not to be intended as investment advice. The material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Brain. Brain makes no guarantees regarding the accuracy and completeness of the information expressed in the dataset.

搜集汇总

背景与挑战

背景概述

该数据集通过自然语言处理技术，从33种语言的数千个财经媒体源中，监测60多种主要加密货币的公共新闻情感，提供每日更新的情感评分（范围-1至+1），涵盖1天、7天和30天三个时间尺度。它还包含新闻故事数量、关注度指标等附加字段，历史数据始于2019年6月，并按日更新实时数据，以支持加密货币市场分析。