<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[BondStats]]></title><description><![CDATA[BondStats]]></description><link>https://bondstats.hashnode.dev</link><image><url>https://cdn.hashnode.com/uploads/logos/69bfed444a1e513e41d7684e/6ded27d8-9739-46d7-bd21-207b8d0045b5.png</url><title>BondStats</title><link>https://bondstats.hashnode.dev</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 23 Sep 2026 08:16:32 GMT</lastBuildDate><atom:link href="https://bondstats.hashnode.dev/rss.xml" rel="self" type="application/rss+xml"/><language><![CDATA[en]]></language><ttl>60</ttl><item><title><![CDATA[I built a dashboard to track global bond yields (and why it matters)]]></title><description><![CDATA[Tracking global bond yields is surprisingly difficult.
Data is scattered across multiple sources, updates are inconsistent, and comparing countries isn’t straightforward. Even for something as fundame]]></description><link>https://bondstats.hashnode.dev/i-built-a-dashboard-to-track-global-bond-yields-and-why-it-matters</link><guid isPermaLink="true">https://bondstats.hashnode.dev/i-built-a-dashboard-to-track-global-bond-yields-and-why-it-matters</guid><category><![CDATA[finance]]></category><category><![CDATA[bonds]]></category><category><![CDATA[Economy]]></category><category><![CDATA[banking]]></category><category><![CDATA[data]]></category><dc:creator><![CDATA[Bond Stats]]></dc:creator><pubDate>Sun, 22 Mar 2026 13:36:01 GMT</pubDate><enclosure url="https://cdn.hashnode.com/uploads/covers/69bfed444a1e513e41d7684e/85dedefe-b8d7-4e84-9e2c-9eb69ed67a72.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<p>Tracking global bond yields is surprisingly difficult.</p>
<p>Data is scattered across multiple sources, updates are inconsistent, and comparing countries isn’t straightforward. Even for something as fundamental as government bond yields, there isn’t a simple, clean way to get a structured global view.</p>
<p>So I decided to build one.</p>
<h2>The idea</h2>
<p>I created a dashboard that tracks sovereign bond yields across major economies, including:</p>
<ul>
<li><p>United States (Treasuries)</p>
</li>
<li><p>Germany (Bunds)</p>
</li>
<li><p>United Kingdom (Gilts)</p>
</li>
<li><p>Japan (JGBs)</p>
</li>
</ul>
<p>The goal was not to predict markets, but to build a clear and structured reference layer for understanding global interest rate conditions.</p>
<h2>What the dashboard shows</h2>
<p>The tool provides:</p>
<ul>
<li><p>Latest yield levels</p>
</li>
<li><p>Changes versus previous observations</p>
</li>
<li><p>Data frequency (daily vs monthly)</p>
</li>
<li><p>Clean comparison across countries</p>
</li>
</ul>
<p>All data is pulled from official sources (mainly FRED) and updated automatically via API.</p>
<h2>Why bond yields matter</h2>
<p>Government bond yields are one of the most important indicators in macroeconomics.</p>
<p>They reflect:</p>
<ul>
<li><p>Interest rate expectations</p>
</li>
<li><p>Inflation outlook</p>
</li>
<li><p>Economic growth expectations</p>
</li>
<li><p>Central bank policy</p>
</li>
</ul>
<p>Comparing yields across countries can reveal differences in monetary policy and global capital flows.</p>
<p>For example, higher U.S. yields relative to Japan often reflect diverging central bank strategies.</p>
<h2>The result</h2>
<p>Instead of jumping between different sources, the dashboard provides a simple, consistent view of global bond markets.</p>
<p>You can explore it here:</p>
<p><a href="https://www.bondstats.org/daily-bond-yields-dashboard">https://www.bondstats.org/daily-bond-yields-dashboard</a></p>
<h2>What’s next</h2>
<p>I’m currently expanding BondStats with additional tools focused on:</p>
<ul>
<li><p>yield spreads</p>
</li>
<li><p>macro signals</p>
</li>
<li><p>market structure analysis</p>
</li>
</ul>
<p>Would love feedback — especially from anyone working in macro, fixed income, or data analysis.</p>
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