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    <title>PyPI recent updates for betaquant</title>
    <link>https://pypi.org/project/betaquant/</link>
    <description>Recent updates to the Python Package Index for betaquant</description>
    <language>en</language>    <item>
      <title>0.6.4</title>
      <link>https://pypi.org/project/betaquant/0.6.4/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Thu, 04 Jun 2026 06:36:34 GMT</pubDate>
    </item>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/betaquant/0.6.3/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Mon, 01 Jun 2026 09:32:23 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/betaquant/0.6.2/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Mon, 01 Jun 2026 09:16:05 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/betaquant/0.6.0/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Mon, 01 Jun 2026 07:44:27 GMT</pubDate>
    </item>    <item>
      <title>0.5.9</title>
      <link>https://pypi.org/project/betaquant/0.5.9/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 15:02:03 GMT</pubDate>
    </item>    <item>
      <title>0.5.8</title>
      <link>https://pypi.org/project/betaquant/0.5.8/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 13:49:13 GMT</pubDate>
    </item>    <item>
      <title>0.5.7</title>
      <link>https://pypi.org/project/betaquant/0.5.7/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 09:32:44 GMT</pubDate>
    </item>    <item>
      <title>0.5.6</title>
      <link>https://pypi.org/project/betaquant/0.5.6/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 08:17:05 GMT</pubDate>
    </item>    <item>
      <title>0.5.5</title>
      <link>https://pypi.org/project/betaquant/0.5.5/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 06:24:48 GMT</pubDate>
    </item>    <item>
      <title>0.5.4</title>
      <link>https://pypi.org/project/betaquant/0.5.4/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 05:31:35 GMT</pubDate>
    </item>    <item>
      <title>0.5.3</title>
      <link>https://pypi.org/project/betaquant/0.5.3/</link>
      <description>Alpha Library: A high-performance rolling window calculation library implemented in Rust with Python bindings. Used for financial data analysis and factor research.</description>
      <pubDate>Fri, 29 May 2026 05:21:18 GMT</pubDate>
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