FMP
Historical Social Sentiment API
Provides historical social sentiment data for a given ticker or company name.
About Historical Social Sentiment API
How it works
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Historical Social Sentiment API FAQs
How are sentiment scores computed for the Stock News Sentiments RSS Feed API?
The sentiment scores for the Stock News Sentiments RSS Feed API are computed based on the number of positive and negative/neutral comments received in a 24-hour period. For example, if there are 500 positive comments and 500 negative/neutral comments, the sentiment score would be calculated as (500 * 1) + (500 * 0) = 500. The average mentions per day value would then be 500 / 1000 = 0.5. Additionally, the Average Hype Index (AHI) and Relative Hype Index (RHI) are calculated to provide further insights into sentiment.
What is the source of the Environmental, Social, and Governance (ESG) ratings and scores data?
We source our ESG data from company filings where we apply NLP to extract those keywords: -Social = 'Accident, (Adult AND entertainment), Alcohol, Anti-personnel, Behavior, Charity, (Child AND Labor), Community, Controversial, Controversy, Discrimination, Gambling, Health, Human capital, Human rights, Inclusion, Injury, Labor, Munitions, Opposition, Pay, Philanthropic, Quality, Responsible.' -Environment = 'Biodiversity, Carbon, Cleantech, Clean, Climate, Coal, Conservation, Ecosystem, Emission, Energy, Fuel, Green, Land, Natural, Pollution, (Raw AND materials), Renewable, Resources, Sustainability, Sustainable, Toxic, Waste, Water.' -Governance = 'Advocacy, Bribery, Compensation, Competitive, Corruption, (Data AND breach), Divestment, Fraud, (Global AND Compact), GRI, (Global AND Reporting AND Initiative), Independent, Justice, Stability, Stewardship, Transparency.' Those are the key concepts that we extract from the statements to create the score. We then, with NLP, create the sentiment score to finally create a ranking score. We have developed our methodology based on available frameworks. We also compare each company to the industry benchmark to be able to rank ESG companies compared to their peers. For the bounds of the rating, a score of 0 is the worst and 100 is the best, so a 50 would be average. You can read more here https://site.financialmodelingprep.com/developer/docs/esg-score-api/
How many years of data do you cover?
We cover more than 30+ years for most of our endpoints if the information is available on company filings.
How many stocks do you provide financial data for?
We have over 80,000 unique symbols that we provide financial data for across 60 stock exchanges globally
What is the quality of FMP data?
Quality data is key to making accurate, informed decisions. It is our main focus to deliver the most accurate financial data to our users.
Is your data split adjusted?
Yes, we have historical data adjusted for splits and dividends.
How can I see new endpoints added to the API?
We keep track of all changes including new properties and new endpoints added to our API on our changelog.
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