Flowtech overcomes the old concept of positive / negative ‘Sentiment’ by providing 10 emotional indices that represent the different emotions that drive the markets. These indices are measured using a scientific model recognized worldwide and used by psychologists to describe emotional states.
Data descriptions
Timestamp_UTC |
Timestamp |
ID |
Unique ID of the output |
Platform |
The abbreviation of the news platform. (BENZ for Benzinga) |
Language |
Language ingested. (En for English). |
Positive |
Measure of the positive context of content |
Negative |
Measure of the negative context of content |
Anger |
A strong feeling that happens when we are threatened, offended, wronged, or denied something we really want or need. |
Anticipation |
The state of waiting for something that is going to happen in the near future. |
Disgust |
A feeling of revulsion or strong disapproval aroused by something unpleasant or offensive. |
Fear |
An unpleasant emotion or thought that you have when something is happening, or might happen, that causes you to be frightened or worried by something dangerous, painful, or bad. |
Joy |
A feeling of great pleasure or happiness. |
Sadness |
An emotion causing or associated with grief, unhappiness, sorrow, or disappointment. |
Surprise |
The feeling that you get when something happens that you did not expect. |
Trust |
Firm belief in the reliability, truth, or ability of someone or something. |
Pos_Sentiment |
Measure of overall positive sentiment in the text |
Neg_Sentiment |
Measure of overall negative sentiment in the text |
Benzinga’s data samples are intended to provide a data sample large enough for testing data quality and application for the financial markets. These sample files demonstrate a sample of the formats and content that can be delivered