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Los Angeles Times Article Rating

Commentary: Explaining the newest Wall Street craze — the 'TACO' trade

  • Bias Rating

    -38% Somewhat Left

  • Reliability

    75% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -25% Negative

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

Overall Sentiment

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  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

59% : Trump plainly resents the sentiment underlying the acronym.
57% : The new tariffs were set as high as 50%.“The markets are going to boom,” Trump told reporters.
47% : All it means is that in the near term at least, the way to bet is that Trump will, indeed, chicken out.
45% : Two days later, on Sunday, Trump announced that he would defer the tariff increase until July 9.
43% : It will be recalled that on April 2, Trump announced a raft of “reciprocal” tariffs on every U.S. trading partner, plus a couple of jurisdictions that were not trading partners, including with no human inhabitants at all.
43% : One is that Trump has turned Theodore Roosevelt’s maxim to “speak softly and carry a big stick” on its head: He speaks loudly and carries barely any stick at all.
42% : It’s a two-step process: Buy the dip — the lowered prices following a Trump tariff announcement — and sell at the higher prices after Trump’s inevitable chickening-out pushes stocks back up.
32% : On April 9, Trump did back off, announcing a 90-day pause to provide time for individualized bilateral negotiations.
28% : They’re based on a fundamental misunderstanding of who pays the tariffs — they’re not paid by exporters or foreign regimes, as Trump maintains, but by consumers, making them a tax on Americans.

*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.

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