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Liberal

100%
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ETF Daily News was founded in 2008 by Tom Lydon, who is an expert in Exchange-Traded Funds (ETFs), intending to provide a dedicated platform for ETF-focused news. The company is currently owned by Market Realist, a financial news and analysis organization.Based in the United States, ETF Daily News covers news primarily related to ETFs. This includes market trends, analysis, and forecasts, as well as news about the investment industry. They also provide guides for investors and report on the performance of various ETFs.**One interesting fact**: Unlike many other financial news outlets, ETF Daily News specializes solely in ETF coverage. This focused approach allows them to provide in-depth and comprehensive information about ETFs, making the platform a go-to resource for those interested in this particular investment type.
ETF is ranked N/A among other media sources and has an average of 17,633 monthly visits according to Similar Web.
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ETF has a Bias Score of -4% Center which is based on a variety of factors including its policy and politician leanings, article ratings, and the use of biased language. Its Reliability is rated as N/A, and additional analytical insights are available in the other tabs.

Note: ETF Daily News is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -4% Center

  • Reliability

    N/A

  • Policy Leanings

    -4% Center

    Extremely
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    Center

    Somewhat Conservative

    Moderately
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    Very
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    -100%
    Liberal

    100%
    Conservative

    *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.

  • Politician Portrayal

    N/A

Ratings are based on recent news using data science and A.I. technology.