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    <title>PyPI recent updates for wickra-gym</title>
    <link>https://pypi.org/project/wickra-gym/</link>
    <description>Recent updates to the Python Package Index for wickra-gym</description>
    <language>en</language>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/wickra-gym/0.1.5/</link>
      <description>A deterministic, Gymnasium-compatible backtest environment: precompute a candle dataset once into a fixed feature tensor, then step an RL environment in O(1) with byte-identical trajectories across ten languages.</description>
<author>support@wickra.org</author>      <pubDate>Thu, 24 Sep 2026 17:55:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/wickra-gym/0.1.4/</link>
      <description>A deterministic, Gymnasium-compatible backtest environment: precompute a candle dataset once into a fixed feature tensor, then step an RL environment in O(1) with byte-identical trajectories across ten languages.</description>
<author>support@wickra.org</author>      <pubDate>Wed, 23 Sep 2026 23:26:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/wickra-gym/0.1.3/</link>
      <description>A deterministic, Gymnasium-compatible backtest environment: precompute a candle dataset once into a fixed feature tensor, then step an RL environment in O(1) with byte-identical trajectories across ten languages.</description>
<author>support@wickra.org</author>      <pubDate>Fri, 18 Sep 2026 23:53:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/wickra-gym/0.1.2/</link>
      <description>A deterministic, Gymnasium-compatible backtest environment: precompute a candle dataset once into a fixed feature tensor, then step an RL environment in O(1) with byte-identical trajectories across ten languages.</description>
<author>support@wickra.org</author>      <pubDate>Mon, 14 Sep 2026 20:28:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/wickra-gym/0.1.1/</link>
      <description>A deterministic, Gymnasium-compatible backtest environment: precompute a candle dataset once into a fixed feature tensor, then step an RL environment in O(1) with byte-identical trajectories across ten languages.</description>
<author>support@wickra.org</author>      <pubDate>Mon, 14 Sep 2026 05:01:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/wickra-gym/0.1.0/</link>
      <description>A deterministic, Gymnasium-compatible backtest environment: precompute a candle dataset once into a fixed feature tensor, then step an RL environment in O(1) with byte-identical trajectories across ten languages.</description>
<author>support@wickra.org</author>      <pubDate>Mon, 14 Sep 2026 00:42:37 GMT</pubDate>
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