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        <description>Data/AI-Driven Algorithmic Trading(KOR Blog) https://qmellion.inblog.ai/(Web Site) https://qmellion.com/</description>
        <pubDate>Thu, 13 Mar 2025 12:28:12 GMT</pubDate>
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              <title>Reinforcement Learning &amp; Risk of Over-Optimization</title>
              <link>https://qmellion-en.inblog.io/reinforcement-learning-risk-of-overoptimization-51810</link>
              <description>Applying reinforcement learning to trading can become a truly powerful tool when it works well. However, there are several important cautions to consider, with the most prominent being the risk of over-optimization. Let’s explore what optimization truly is, and how to avoid the pitfalls of over-optimization.</description>
              <pubDate>Sat, 12 Apr 2025 16:03:55 GMT</pubDate>
              <guid>https://qmellion-en.inblog.io/reinforcement-learning-risk-of-overoptimization-51810</guid>
              <category>Reinforcement Learning</category><category>Quant Trade Research &amp; Development</category>
              <author>Beomsu Kim</author>
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              <title>Evolution of Systematic Trading:Why We DevelopReinforcement Learning Traders</title>
              <link>https://qmellion-en.inblog.io/evolution-of-systematic-trading-why-we-develop-reinforcement-learning-traders-47137</link>
              <description>Applying reinforcement learning to financial trading is not an easy task, but if successful, it can lead to significant results. Here, we share the background behind QMELLION’s development of reinforcement learning-based traders.</description>
              <pubDate>Thu, 13 Mar 2025 16:04:25 GMT</pubDate>
              <guid>https://qmellion-en.inblog.io/evolution-of-systematic-trading-why-we-develop-reinforcement-learning-traders-47137</guid>
              <category>Reinforcement Learning</category>
              <author>Beomsu Kim</author>
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