<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: LivingTomb</title>
    <description>The latest articles on DEV Community by LivingTomb (@zentinl).</description>
    <link>https://dev.to/zentinl</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3773749%2F85b53629-3305-48a5-9e76-08af4bebdf59.png</url>
      <title>DEV Community: LivingTomb</title>
      <link>https://dev.to/zentinl</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/zentinl"/>
    <language>en</language>
    <item>
      <title>AI Paper-Trader</title>
      <dc:creator>LivingTomb</dc:creator>
      <pubDate>Sun, 15 Feb 2026 08:57:46 +0000</pubDate>
      <link>https://dev.to/zentinl/ai-paper-trader-3iak</link>
      <guid>https://dev.to/zentinl/ai-paper-trader-3iak</guid>
      <description>&lt;p&gt;[This project is an advanced algorithmic trading bot built with Python and Docker. It connects to the Alpaca paper trading API to execute an intelligent, multi-layered trading strategy based on a combination of machine learning predictions, AI-driven news analysis, and technical indicators.&lt;/p&gt;

&lt;p&gt;The bot is designed for intraday trading, focusing on capital preservation and seeking high-probability trade opportunities.](&lt;a href="https://github.com/Zentin-L/ai-trader" rel="noopener noreferrer"&gt;https://github.com/Zentin-L/ai-trader&lt;/a&gt;)&lt;/p&gt;

</description>
      <category>ai</category>
      <category>machinelearning</category>
      <category>python</category>
      <category>opensource</category>
    </item>
  </channel>
</rss>
