infotrie

infotrie / Sentiment_History_Index / 0.2.0

README.md

Sentiment History (Index)

This API returns News Sentiment data aggregated by major stockindex.

Input: Index Id (see https://algorithmia.com/algorithms/infotrie/Index) and Format.
Output: Detailed sentiment history of the company including sentiment score, Sentiment high / low, News Volume, News Buzz and Date.

Indicators Description:

  • Sentiment Score: A measure of the bullishness / bearishness of the language used in media for a given stock on a given day. Ranges from -5 (extremely negative coverage) to +5 (extremely positive coverage); a score of 0 indicates an absence of articles for that day. Alternatively, scores may also be expressed on a 0 to 10 scale with 0 still indicating an absence of articles for that day, 1,2,3 a negative score, 4,5,6,7a neutral score, and 8,9,10 a positive score. The overall sentiment score is computed as a weighted average of sentiment scores over news titles, headers and company specific phrases. A significant correlation between news sentiment and stock prices is observed across most listings.
  • Sentiment High: The intraday maximum value of the sentiment score, polled at5 minutes intervals.
  • Sentiment Low: The intraday minimum value of the sentiment score, polled at 5minutes intervals.
  • News Volume: The number of news articles about this stock, published and parsed on a given day. Volume of news provides a good indicator of a trend breakout or a trend reversal.
  • News Buzz: A measure of the rate of change in news coverage of a given stock on a given day, normalized on a scale of 1 to 10. The buzz score measures the change in the standard deviation of periodic news volume. It can be thought of as the "rate of change of news"; it thus serves as a risk alert indicator.

Please refer to our static data user guide for more information: http://www.infotrie.com/interestingreads/static-data-user-guide and our APIHelp: http://www.infotrie.com/interestingreads/api-help.
See also http://www.finsents.com.

Example

{"indexId":"in_9”}

Output

{
          "volume": 3352,
          "date": "29-04-2015",
          "sentiment": "5.641",
          "buzz": "5.191"
  }