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    <title>PyPI recent updates for hyperquant</title>
    <link>https://pypi.org/project/hyperquant/</link>
    <description>Recent updates to the Python Package Index for hyperquant</description>
    <language>en</language>    <item>
      <title>1.62</title>
      <link>https://pypi.org/project/hyperquant/1.62/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 19 Mar 2026 18:37:41 GMT</pubDate>
    </item>    <item>
      <title>1.61</title>
      <link>https://pypi.org/project/hyperquant/1.61/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Fri, 13 Mar 2026 08:24:29 GMT</pubDate>
    </item>    <item>
      <title>1.6</title>
      <link>https://pypi.org/project/hyperquant/1.6/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Wed, 11 Mar 2026 15:01:27 GMT</pubDate>
    </item>    <item>
      <title>1.59</title>
      <link>https://pypi.org/project/hyperquant/1.59/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Fri, 06 Mar 2026 15:31:58 GMT</pubDate>
    </item>    <item>
      <title>1.58</title>
      <link>https://pypi.org/project/hyperquant/1.58/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Tue, 03 Mar 2026 11:55:59 GMT</pubDate>
    </item>    <item>
      <title>1.57</title>
      <link>https://pypi.org/project/hyperquant/1.57/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Mon, 02 Mar 2026 12:04:54 GMT</pubDate>
    </item>    <item>
      <title>1.56</title>
      <link>https://pypi.org/project/hyperquant/1.56/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 28 Feb 2026 16:11:53 GMT</pubDate>
    </item>    <item>
      <title>1.55</title>
      <link>https://pypi.org/project/hyperquant/1.55/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Fri, 27 Feb 2026 05:31:03 GMT</pubDate>
    </item>    <item>
      <title>1.54</title>
      <link>https://pypi.org/project/hyperquant/1.54/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Wed, 18 Feb 2026 17:29:01 GMT</pubDate>
    </item>    <item>
      <title>1.53</title>
      <link>https://pypi.org/project/hyperquant/1.53/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 14 Feb 2026 14:29:02 GMT</pubDate>
    </item>    <item>
      <title>1.52</title>
      <link>https://pypi.org/project/hyperquant/1.52/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Fri, 13 Feb 2026 09:40:39 GMT</pubDate>
    </item>    <item>
      <title>1.51</title>
      <link>https://pypi.org/project/hyperquant/1.51/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 12 Feb 2026 05:19:09 GMT</pubDate>
    </item>    <item>
      <title>1.5</title>
      <link>https://pypi.org/project/hyperquant/1.5/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 22 Jan 2026 11:54:37 GMT</pubDate>
    </item>    <item>
      <title>1.49</title>
      <link>https://pypi.org/project/hyperquant/1.49/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Mon, 22 Dec 2025 09:45:58 GMT</pubDate>
    </item>    <item>
      <title>1.48</title>
      <link>https://pypi.org/project/hyperquant/1.48/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 18 Dec 2025 05:29:37 GMT</pubDate>
    </item>    <item>
      <title>1.47</title>
      <link>https://pypi.org/project/hyperquant/1.47/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sun, 07 Dec 2025 17:20:19 GMT</pubDate>
    </item>    <item>
      <title>1.46</title>
      <link>https://pypi.org/project/hyperquant/1.46/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 06 Dec 2025 14:10:28 GMT</pubDate>
    </item>    <item>
      <title>1.45</title>
      <link>https://pypi.org/project/hyperquant/1.45/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 29 Nov 2025 09:57:16 GMT</pubDate>
    </item>    <item>
      <title>1.44</title>
      <link>https://pypi.org/project/hyperquant/1.44/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 27 Nov 2025 02:58:55 GMT</pubDate>
    </item>    <item>
      <title>1.43</title>
      <link>https://pypi.org/project/hyperquant/1.43/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Tue, 25 Nov 2025 06:55:46 GMT</pubDate>
    </item>    <item>
      <title>1.42</title>
      <link>https://pypi.org/project/hyperquant/1.42/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sun, 23 Nov 2025 11:57:29 GMT</pubDate>
    </item>    <item>
      <title>1.41</title>
      <link>https://pypi.org/project/hyperquant/1.41/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 22 Nov 2025 12:50:21 GMT</pubDate>
    </item>    <item>
      <title>1.4</title>
      <link>https://pypi.org/project/hyperquant/1.4/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Fri, 21 Nov 2025 15:08:52 GMT</pubDate>
    </item>    <item>
      <title>1.39</title>
      <link>https://pypi.org/project/hyperquant/1.39/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Fri, 21 Nov 2025 03:28:15 GMT</pubDate>
    </item>    <item>
      <title>1.38</title>
      <link>https://pypi.org/project/hyperquant/1.38/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Wed, 19 Nov 2025 07:46:19 GMT</pubDate>
    </item>    <item>
      <title>1.37</title>
      <link>https://pypi.org/project/hyperquant/1.37/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Tue, 18 Nov 2025 15:36:00 GMT</pubDate>
    </item>    <item>
      <title>1.36</title>
      <link>https://pypi.org/project/hyperquant/1.36/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 15 Nov 2025 07:32:18 GMT</pubDate>
    </item>    <item>
      <title>1.35</title>
      <link>https://pypi.org/project/hyperquant/1.35/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Sat, 15 Nov 2025 03:27:13 GMT</pubDate>
    </item>    <item>
      <title>1.34</title>
      <link>https://pypi.org/project/hyperquant/1.34/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 13 Nov 2025 07:20:36 GMT</pubDate>
    </item>    <item>
      <title>1.33</title>
      <link>https://pypi.org/project/hyperquant/1.33/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 13 Nov 2025 02:36:51 GMT</pubDate>
    </item>    <item>
      <title>1.32</title>
      <link>https://pypi.org/project/hyperquant/1.32/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Thu, 13 Nov 2025 01:33:31 GMT</pubDate>
    </item>    <item>
      <title>1.31</title>
      <link>https://pypi.org/project/hyperquant/1.31/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Wed, 12 Nov 2025 13:47:00 GMT</pubDate>
    </item>    <item>
      <title>1.3</title>
      <link>https://pypi.org/project/hyperquant/1.3/</link>
      <description>A minimal yet hyper-efficient backtesting framework for quantitative trading</description>
<author>1421329142@qq.com</author>      <pubDate>Wed, 12 Nov 2025 11:26:36 GMT</pubDate>
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