Screenshot is an example of the platform and not a live representation of the current sentiment.
This section shows the aggregate sentiment (bullishness vs. bearishness) measured in financial news coverage over the past 7 days on a scale from -100% (most bearish) to +100% (most bullish). There are three gauges: one for the overall sentiment measured across ALL tickers covered, and one for tickers in the S&P 500 and Russell 2000 (respectively).
Our Interesting Set Up
Periodically, our algorithm finds a particular stock’s sentiment in news coverage vs. its price on the market that make for an interesting play — this often happens if the stock’s sentiment and price are diverging. For example, the stock's price may be continuously going up while its sentiment hits a low point, a potential signal that the price is overhyped and likely to correct. When we do find interesting set-ups like these, we will post them here to help you curate your market research.
Sentiment Over Time
This graph shows the average daily sentiment measured across all tickers over the past 3 months, along with the daily total number of finance news articles we’ve scraped from the internet each day. This chart is a normalized moving average of daily sentiment, with daily scores ranging between -100% and +100%. Importantly, there is no special weighting for each individual ticker — the sentiment of all tickers is treated the same in this measurement regardless of market cap or price.
This section shows the top 5 most bullish and bearish tickers over the past 7 days, based on their average sentiment measured across articles compared to the previous 7 days. Importantly, you can click on each ticker to be redirected to a company-specific page which will provide more detail on what exactly is being said about the given ticker in the news.
There is also a tab in this section to view the most bullish and bearish sectors over the past 7 days — the sentiment of each sector is a weighted aggregation of individual ticker sentiment scores.
This section automatically parses out sentences written about popular tickers with high value sentiment scores — it can be sorted by Bullish or Bearish sentiment and is paginated.
What is stock market news sentiment?
Sentiment is the amount of bullish or bearish language expressed about a ticker. Bullish / bearish: optimism / pessimism expressed about a ticker into the future (We also call this our “Babbl score” in a few places)
Babbl scrapes the internet for thousands of articles each and every day to measure the amount of bullish and bearish language written about individual stocks. Here’s how it works: within each article, we first detect which tickers are being mentioned. Then once we have a subset of sentences that we know are about a given ticker, we look for two types of language — mood and tense. By mood, I mean optimistic or pessimistic words and phrases about the given ticker (ex: “TSLA is soaring” or “FB’s run won’t last long”). By tense, I mean past, present or future tense; we want to know if the article is reacting to past events or speculating about future events. Combining the mood and tense that a given ticker is discussed in, we can measure the amount of bullishness or bearishness (which we would define as optimism or pessimism expressed about a ticker into the future).
More info on how we calculate these scores can be found here.
Why track stock market sentiment?
Our operating hypothesis is simple: stock market media influences market movements.
How people react to the news impacts what happens in the price of a stock. If the majority of analysts are bullish or bearish about a stock over a given time window, there’s reason to believe that the price will act accordingly (assuming no unforeseen major events). However, in practice stock market traders operate in a world of imperfection and lack of information. No single person can conceivably monitor and track the entire conversation surrounding a particular stock - let alone a large number of stocks. Most traders spend limited amounts of time reading the news to gauge the market performance, mood, or information about a specific company, but these processes can be mundane and exhaustive. At the end of the day, all that news is an attempt to convey information from one person to another — our goal is to automate the process of reading by quantifying language about stocks into bullish / bearish.
How is Babbl different than competitors?
Babbl is unique in its knowledge and considerations to financial language nuances and data quality. Instead of simply tracking the number of mentions to a certain ticker, Babbl is able to quantify the surrounding language of tickers using a custom coded algorithm and quality API sources. While our competitors use open-sourced software designed for basic level transcriptions, Babbl takes it a step further to ensure our data is relevant to the financial markets.
Our weekly newsletter summarizes the sentiment of thousands of financial articles from around the internet to gauge what's trending and find the insights that matter most (and... it's FREE!)