<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Danelfin Score on Frank Zhang | AI &amp; I</title><link>https://blog.frank-zhang.com/tags/danelfin-score/</link><description>Recent content in Danelfin Score on Frank Zhang | AI &amp; I</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>© 2026 Frank Zhang</copyright><lastBuildDate>Thu, 27 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.frank-zhang.com/tags/danelfin-score/index.xml" rel="self" type="application/rss+xml"/><item><title>🚀 Core Pillar I: Danelfin-Style AI Win Rate Scoring, Earnings AI Analysis &amp; Executive Insider Radar</title><link>https://blog.frank-zhang.com/investment/v7-2-0-ai-alpha-engine/</link><pubDate>Thu, 27 Aug 2026 00:00:00 +0000</pubDate><guid>https://blog.frank-zhang.com/investment/v7-2-0-ai-alpha-engine/</guid><description>&lt;h1 class="relative group"&gt;🚀 Core Pillar I: Danelfin-Style AI Win Rate Scoring, Earnings AI Analysis &amp;amp; Executive Insider Radar
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&lt;blockquote&gt;&lt;p&gt;&lt;strong&gt;Release Version&lt;/strong&gt;: v7.2.0&lt;br&gt;
&lt;strong&gt;Core Components&lt;/strong&gt;: &lt;code&gt;core/ai_winrate_engine.py&lt;/code&gt;, &lt;code&gt;core/post_earnings_analyzer.py&lt;/code&gt;, &lt;code&gt;core/insider_radar.py&lt;/code&gt;&lt;br&gt;
&lt;strong&gt;Tags&lt;/strong&gt;: &lt;code&gt;AI Alpha&lt;/code&gt; · &lt;code&gt;Multi-Factor Win Rate&lt;/code&gt; · &lt;code&gt;Earnings Audit&lt;/code&gt; · &lt;code&gt;Insider Risk Radar&lt;/code&gt;&lt;/p&gt;
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&lt;h2 class="relative group"&gt;📖 Introduction: From Rule-Based Models to AI Alpha Probability Profiling
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&lt;p&gt;Traditional trading systems often rely on single technical indicators or lagging financial statements, leaving them vulnerable to market noise and false breakouts. The release of &lt;strong&gt;V7.2.0&lt;/strong&gt; marks the transition of Trade OS into the era of &lt;strong&gt;AI Stock Selection &amp;amp; Multi-Factor Alpha Probability Profiling&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>