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Social Sentiment
What is social sentiment analysis?

A post on social media can help inform investors of what someone thinks of a company or their products. Watching these posts in aggregate can provide insight into how the general public or specific audiences are reacting to a company's products, public relations, and actions. This sentiment affects a company's value, making it useful to investors.

What is a sentiment "score"?

A score is a custom calculation we apply to every social media post our systems analyze. It provides a numerical value which encompasses both the sentiment of a post and its popularity. A post speaking positively about a company and with many likes and shares will have a high sentiment score. A post reflecting poorly of a company but with few likes will have a small negative sentiment score. A post we consider neutral will have a near zero score regardless of popularity. Having these scores lets us aggregate and compare them fairly.

Which stocks are available on SocialSentiment.io?

Every stock on the NASDAQ and NYSE exchanges are available for monitoring. We do not monitor the social media activity of every one of these stocks because it's computationally expensive. By searching SocialSentiment.io for any stock on these exchanges and visiting the analysis page you have the option to activate monitoring of its social media activity.

Stock data provided by IEX Cloud.

What do these graphs tell us?

Our AI continuously analyzes the social sentiment of many social media posts. It computes scores that let us see how sentiment is changing over time. Graphs show us daily trends as well as moving averages.

How accurate are these graphs?

We strive to be as accurate as possible and we're constantly training our AI to be better. We have our AI "learn" unique content for each industry to make its predictions better. Based on our own testing our average accuracy is currently 86%. That means the vast majority of post analysis correlates with how a human would judge their sentiment.

Why do some stocks have no graph?

Monitoring social media for thousands of publicly traded stocks is computationally expensive. To keep our systems running as efficiently as possible we started with many of the most popular stocks. If you're interested in a stock we're not currently tracking you'll find a button on our analysis page to get it started. From the next day forward you'll see the stock's graph showing social trends.

Which subreddits do you track?

We currently watch the following sections of Reddit: Business, Investing, News, SPACs, StockMarket, WallStreetBets, WorldNews

Accounts
How do I cancel my account / subscription?

Please visit the account page and follow the instructions to cancel your subscription.

What happens if my credit card is declined?

We will notify you via email if an attempt to place a charge on your card is declined. If payment isn't made within 30 days we will automatically close your account. Please contact us if you have any questions or issues.

How do I delete all of my information from your system?

Please contact us for questions about your data, how we keep it private and secure, or to have it removed entirely.

Disclaimer

We believe social network activity can help inform investors of the positive and negative opinions people hold of a company. Social media posts are made both before and after market price changes. We can make no claim of causation or future correlation between market prices and social media sentiment. We make no evaluation or predictions of stock value. We do not endorse any posts on social media which are reposted here.

This page is being provided for informational purposes only, and on the condition that it will not form a primary basis for any investment decision. Investors should make their own determination of whether or not to buy or sell a stock based on their specific investment goals, with proper due diligence, and in consultation with their financial advisor. See financial disclosures on our About the Developer page.

We've trained our artificial intelligence systems from past social media posts. While tests show our predictions are usually accurate to our models, a human may come to a different conclusion for some posts.