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    <title>PyPI recent updates for riskoptima</title>
    <link>https://pypi.org/project/riskoptima/</link>
    <description>Recent updates to the Python Package Index for riskoptima</description>
    <language>en</language>    <item>
      <title>2.2.0</title>
      <link>https://pypi.org/project/riskoptima/2.2.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 21 Dec 2025 09:55:39 GMT</pubDate>
    </item>    <item>
      <title>2.1.0</title>
      <link>https://pypi.org/project/riskoptima/2.1.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Fri, 19 Dec 2025 13:05:51 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/riskoptima/2.0.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Fri, 19 Dec 2025 12:46:09 GMT</pubDate>
    </item>    <item>
      <title>1.45.0</title>
      <link>https://pypi.org/project/riskoptima/1.45.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Tue, 22 Apr 2025 18:42:18 GMT</pubDate>
    </item>    <item>
      <title>1.44.0</title>
      <link>https://pypi.org/project/riskoptima/1.44.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 10:41:32 GMT</pubDate>
    </item>    <item>
      <title>1.43.0</title>
      <link>https://pypi.org/project/riskoptima/1.43.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 10:31:40 GMT</pubDate>
    </item>    <item>
      <title>1.42.0</title>
      <link>https://pypi.org/project/riskoptima/1.42.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 19 Apr 2025 09:54:34 GMT</pubDate>
    </item>    <item>
      <title>1.41.0</title>
      <link>https://pypi.org/project/riskoptima/1.41.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 18:58:17 GMT</pubDate>
    </item>    <item>
      <title>1.40.0</title>
      <link>https://pypi.org/project/riskoptima/1.40.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 18:53:32 GMT</pubDate>
    </item>    <item>
      <title>1.39.0</title>
      <link>https://pypi.org/project/riskoptima/1.39.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 18:47:20 GMT</pubDate>
    </item>    <item>
      <title>1.37.0</title>
      <link>https://pypi.org/project/riskoptima/1.37.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 15:06:46 GMT</pubDate>
    </item>    <item>
      <title>1.36.0</title>
      <link>https://pypi.org/project/riskoptima/1.36.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 14:57:31 GMT</pubDate>
    </item>    <item>
      <title>1.35.0</title>
      <link>https://pypi.org/project/riskoptima/1.35.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 29 Mar 2025 14:49:47 GMT</pubDate>
    </item>    <item>
      <title>1.34.0</title>
      <link>https://pypi.org/project/riskoptima/1.34.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 20:03:11 GMT</pubDate>
    </item>    <item>
      <title>1.33.0</title>
      <link>https://pypi.org/project/riskoptima/1.33.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 19:58:21 GMT</pubDate>
    </item>    <item>
      <title>1.32.0</title>
      <link>https://pypi.org/project/riskoptima/1.32.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 19:50:23 GMT</pubDate>
    </item>    <item>
      <title>1.31.0</title>
      <link>https://pypi.org/project/riskoptima/1.31.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 19:02:06 GMT</pubDate>
    </item>    <item>
      <title>1.30.0</title>
      <link>https://pypi.org/project/riskoptima/1.30.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 18:07:04 GMT</pubDate>
    </item>    <item>
      <title>1.29.0</title>
      <link>https://pypi.org/project/riskoptima/1.29.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 17:43:04 GMT</pubDate>
    </item>    <item>
      <title>1.28.0</title>
      <link>https://pypi.org/project/riskoptima/1.28.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Mar 2025 17:28:22 GMT</pubDate>
    </item>    <item>
      <title>1.27.0</title>
      <link>https://pypi.org/project/riskoptima/1.27.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 09 Mar 2025 19:22:30 GMT</pubDate>
    </item>    <item>
      <title>1.26.0</title>
      <link>https://pypi.org/project/riskoptima/1.26.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 02 Mar 2025 16:15:01 GMT</pubDate>
    </item>    <item>
      <title>1.25.0</title>
      <link>https://pypi.org/project/riskoptima/1.25.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sat, 01 Mar 2025 20:46:50 GMT</pubDate>
    </item>    <item>
      <title>1.24.0</title>
      <link>https://pypi.org/project/riskoptima/1.24.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Feb 2025 19:26:08 GMT</pubDate>
    </item>    <item>
      <title>1.23.0</title>
      <link>https://pypi.org/project/riskoptima/1.23.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Feb 2025 19:15:55 GMT</pubDate>
    </item>    <item>
      <title>1.22.0</title>
      <link>https://pypi.org/project/riskoptima/1.22.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Feb 2025 19:06:45 GMT</pubDate>
    </item>    <item>
      <title>1.21.0</title>
      <link>https://pypi.org/project/riskoptima/1.21.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Feb 2025 18:47:34 GMT</pubDate>
    </item>    <item>
      <title>1.20.0</title>
      <link>https://pypi.org/project/riskoptima/1.20.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 16 Feb 2025 11:29:55 GMT</pubDate>
    </item>    <item>
      <title>1.19.0</title>
      <link>https://pypi.org/project/riskoptima/1.19.0/</link>
      <description>RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, and Merton Jump Diffusion models, to aid investors in making data-driven investment decisions.</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Tue, 11 Feb 2025 10:20:45 GMT</pubDate>
    </item>    <item>
      <title>1.18.0</title>
      <link>https://pypi.org/project/riskoptima/1.18.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Tue, 11 Feb 2025 09:56:04 GMT</pubDate>
    </item>    <item>
      <title>1.17.0</title>
      <link>https://pypi.org/project/riskoptima/1.17.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Wed, 05 Feb 2025 21:34:38 GMT</pubDate>
    </item>    <item>
      <title>1.16.0</title>
      <link>https://pypi.org/project/riskoptima/1.16.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Wed, 05 Feb 2025 21:10:14 GMT</pubDate>
    </item>    <item>
      <title>1.15.0</title>
      <link>https://pypi.org/project/riskoptima/1.15.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Tue, 04 Feb 2025 21:59:38 GMT</pubDate>
    </item>    <item>
      <title>1.14.0</title>
      <link>https://pypi.org/project/riskoptima/1.14.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Mon, 03 Feb 2025 20:11:13 GMT</pubDate>
    </item>    <item>
      <title>1.13.0</title>
      <link>https://pypi.org/project/riskoptima/1.13.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 02 Feb 2025 15:12:37 GMT</pubDate>
    </item>    <item>
      <title>1.12.0</title>
      <link>https://pypi.org/project/riskoptima/1.12.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 02 Feb 2025 14:08:57 GMT</pubDate>
    </item>    <item>
      <title>1.11.0</title>
      <link>https://pypi.org/project/riskoptima/1.11.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Wed, 22 Jan 2025 20:57:39 GMT</pubDate>
    </item>    <item>
      <title>1.10.0</title>
      <link>https://pypi.org/project/riskoptima/1.10.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Tue, 14 Jan 2025 22:01:09 GMT</pubDate>
    </item>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/riskoptima/1.9.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Mon, 06 Jan 2025 20:58:10 GMT</pubDate>
    </item>    <item>
      <title>1.8.0</title>
      <link>https://pypi.org/project/riskoptima/1.8.0/</link>
      <description>The RiskOptima toolkit is a comprehensive Python solution designed to assist investors in evaluating, managing, and optimizing the risk of their investment portfolios. This package implements advanced financial metrics and models to compute key risk indicators, including Value at Risk (VaR), Conditional Value at Risk (CVaR), and volatility assessment</description>
<author>jordi.coll.corbilla@gmail.com</author>      <pubDate>Sun, 05 Jan 2025 17:06:12 GMT</pubDate>
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