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  2. Here's How Much $100 In Bitcoin Could Be Worth In 2030 If ...

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    Bullish Case, $3,800,000: $100 today would be worth $4,256.00, up 4,156.0% As you can see, a small investment would turn into a sizable return if Wood’s base or bullish predictions come true.

  3. 2 things could drive bitcoin to $500,000 during Trump's term ...

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    Lauren DeCicca/Getty Images; Jenny Chang-Rodriguez/BI Bitcoin could hit $500,000 by the end of Trump's second term, Standard Chartered estimates. The token will rise amid better investor access ...

  4. Unrivaled women's basketball highlights: Tuesday's scores ...

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    Unrivaled – the new women’s basketball league started by WNBA stars Napheesa Collier and Breanna Stewart – will play its inaugural season from January to mid-March.

  5. Bitcoin - Wikipedia

    en.wikipedia.org/wiki/Bitcoin

    According to one 2022 analysis published in The Journal of Alternative Investments, bitcoin was less volatile than oil, silver, US Treasuries, and 190 stocks in the S&P 500 during and after the 2020 stock market crash. [151] The term hodl was created in December 2013 for holding bitcoin rather than selling it during periods of volatility. [152 ...

  6. History of bitcoin - Wikipedia

    en.wikipedia.org/wiki/History_of_bitcoin

    "Our analysis shows that certain content, e.g. illegal pornography, can render the mere possession of a blockchain illegal." [ 289 ] Interpol also sent out an alert in 2015 saying that "the design of the blockchain means there is the possibility of malware being injected and permanently hosted with no methods currently available to wipe this data".

  7. Cryptocurrency bubble - Wikipedia

    en.wikipedia.org/wiki/Cryptocurrency_bubble

    Bitcoin price daily Ethereum price daily. A cryptocurrency bubble is a phenomenon where the market increasingly considers the going price of cryptocurrency assets to be inflated against their hypothetical value.

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  9. Video Data Analysis - Wikipedia

    en.wikipedia.org/wiki/Video_Data_Analysis

    Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual data in combination with other data types.