<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for monte-neo</title>
    <link>https://pypi.org/project/monte-neo/</link>
    <description>Recent updates to the Python Package Index for monte-neo</description>
    <language>en</language>    <item>
      <title>0.17.7</title>
      <link>https://pypi.org/project/monte-neo/0.17.7/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 12:11:43 GMT</pubDate>
    </item>    <item>
      <title>0.17.6</title>
      <link>https://pypi.org/project/monte-neo/0.17.6/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 10:48:51 GMT</pubDate>
    </item>    <item>
      <title>0.17.5</title>
      <link>https://pypi.org/project/monte-neo/0.17.5/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 10:26:23 GMT</pubDate>
    </item>    <item>
      <title>0.17.4</title>
      <link>https://pypi.org/project/monte-neo/0.17.4/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 10:05:30 GMT</pubDate>
    </item>    <item>
      <title>0.17.3</title>
      <link>https://pypi.org/project/monte-neo/0.17.3/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 09:47:52 GMT</pubDate>
    </item>    <item>
      <title>0.17.2</title>
      <link>https://pypi.org/project/monte-neo/0.17.2/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 09:35:52 GMT</pubDate>
    </item>    <item>
      <title>0.17.1</title>
      <link>https://pypi.org/project/monte-neo/0.17.1/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 09:19:13 GMT</pubDate>
    </item>    <item>
      <title>0.17.0</title>
      <link>https://pypi.org/project/monte-neo/0.17.0/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 09:11:45 GMT</pubDate>
    </item>    <item>
      <title>0.16.0</title>
      <link>https://pypi.org/project/monte-neo/0.16.0/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Thu, 17 Sep 2026 09:02:26 GMT</pubDate>
    </item>    <item>
      <title>0.15.1</title>
      <link>https://pypi.org/project/monte-neo/0.15.1/</link>
      <description>Fast local research for trading strategies on Apple Silicon: fee-aware bar backtests, Monte Carlo, paper OMS (Metal/MLX/Numba)</description>
      <pubDate>Wed, 16 Sep 2026 14:19:41 GMT</pubDate>
    </item>  </channel>
</rss>