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    <title>PyPI recent updates for exness-data-preprocess</title>
    <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/</link>
    <description>Recent updates to the Python Package Index for exness-data-preprocess</description>
    <language>en</language>    <item>
      <title>2.1.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/2.1.0/</link>
      <description>Professional Exness forex tick data preprocessing with ClickHouse backend. Provides efficient storage with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Sun, 28 Dec 2025 22:42:28 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/2.0.0/</link>
      <description>Professional Exness forex tick data preprocessing with ClickHouse backend. Provides efficient storage with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Sat, 27 Dec 2025 11:08:15 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/1.2.1/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Thu, 11 Dec 2025 20:22:11 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/1.2.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Wed, 10 Dec 2025 19:13:08 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/1.1.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Wed, 10 Dec 2025 08:45:47 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/1.0.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Wed, 10 Dec 2025 05:17:33 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.8.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Wed, 10 Dec 2025 02:33:32 GMT</pubDate>
    </item>    <item>
      <title>0.7.2</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.7.2/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Wed, 29 Oct 2025 21:17:16 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.7.1/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Tue, 28 Oct 2025 01:04:57 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.7.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Tue, 28 Oct 2025 00:05:06 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.6.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Mon, 27 Oct 2025 22:56:52 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.5.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Tue, 21 Oct 2025 03:32:38 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.4.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Sat, 18 Oct 2025 02:36:42 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.3.1/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Thu, 16 Oct 2025 03:08:56 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.3.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Wed, 15 Oct 2025 00:50:47 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.2.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Mon, 13 Oct 2025 05:17:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.tw.martin98.com/project/exness-data-preprocess/0.1.0/</link>
      <description>Professional Exness forex tick data preprocessing with optimal compression (Parquet Zstd-22) and DuckDB OHLC generation. Provides efficient storage (9% smaller than ZIP) with lossless precision and direct queryability.</description>
<author>terry@eonlabs.com</author>      <pubDate>Sun, 12 Oct 2025 10:08:13 GMT</pubDate>
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