Wall Street analysts explain why Tesla is booming postelection while other EV makers struggle
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-20% Negative
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
43% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
Conservative

Contributing sentiments towards policy:
57% : "As a result, Trump has turned more favorable towards electric cars, and to Elon's interests more broadly," Sacconaghi, who rates the stock as underperform, told clients.54% : Trump is planning to ease rules for self-driving vehicles, people familiar with the matter told Bloomberg News.
44% : But Tesla's fundamentals are largely steady postelection, while Musk's relationship with Trump underlines how Tesla largely controls the self-driving vehicle narrative, the analyst said.
40% : Musk spent around $200 million to help elect Trump, and is heading a new government efficiency group with former GOP presidential candidate Vivek Ramaswamy.
39% : While regulation of self-driving vehicles largest resides with the states, Trump could at least pick someone to lead the National Highway and Traffic Safety Administration who has a more favorable view of the technology and would put an end to investigations of Tesla, Sacconaghi said.
35% : Despite the potential advantages Tesla has under Trump compared to competitors, Bernstein and Barclays still see downside for Tesla.
27% : Trump is planning to kill the $7,500 tax credit for people who buy electric vehicles and has vowed to rescind all unspent funds under the Inflation Reduction Act.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.