The Motley Fool Article RatingHow Likely Is It That the Stock Market Crashes Under President Donald Trump in 2025? Here's What History Tells Us. | The Motley Fool
- Bias Rating
10% Center
- Reliability
45% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
7% Positive
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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
16% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
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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%
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Contributing sentiments towards policy:
51% : This includes Donald Trump, who navigated America through the two-month recession that occurred during the pandemic.50% : Another concern based solely on history as Donald Trump prepares to take office is the strong correlation between Republican presidencies and downturns in the U.S. economy.
50% : Though there are tangible, history-based concerns as Donald Trump prepares to take office for his second term, the important thing for investors to remember is that history is a pendulum that swings in both directions.
33% : The "dubious history" Trump is set to make on Jan. 20 is the inheritance of a historically pricey stock market.
19% : However, Trump will be making dubious history when he's inaugurated in just over a week -- and this has nothing to do with serving nonconsecutive terms.
*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.
