The stock sentiment reflects the current opinion of investors
and journalists on Tesla.
StockBrain extracts information from reports and news stories
and combines all data into one rating.
The TSLA stock sentiment is a general indication on whether other
investors are likely to buy, hold or sell TSLA stocks in the near
StockBrain uses sentiment analysis and machine
learning to analyze thousands of news articles and social media posts
The following factors contribute the the evaluation:
For more information on our
our white paper.
A news topic is formed by up to 30 keywords or concepts that often occur
together on news related to a specific company. We use
a combined Vector Space Model (VSM) and Latent Dirichlet Allocation (LDA)
to extract topics from textual data.
StockBrain collects about 100.000 news articles and social media posts every
Each document is evaluated and ranked on a sentiment scale from -1 (most
negative) to 1 (most positive).
All news stories are then grouped by their content and further analyzed to
calculate their influence on related stocks.
Enter a keyword to focus on a specific set of news stories.
StockBrain ranks all published news articles on a scale from -1 (red, most negative) to 1 (green, most positive).The ratio between positive and negative articles is represented by a bar's color.