<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>Starborne Research</title>
    <link>https://starborneresearch.com</link>
    <description>A public trading research journal: market making, systematic strategies, and the experiments behind them — including the ones that failed.</description>
    <language>en</language>
    <item>
      <title>Post-mortem: my first live trade was 10× too big</title>
      <link>https://starborneresearch.com/journal/first-live-trade-10x</link>
      <guid>https://starborneresearch.com/journal/first-live-trade-10x</guid>
      <pubDate>Sat, 18 Jul 2026 12:00:00 GMT</pubDate>
      <description>The SPX500 bot went live and its very first trade was ten times oversized — because the broker's own metadata lied. What saved it, what it changed, and why checklists are scar tissue.</description>
    </item>
    <item>
      <title>StarborneTrader so far: what a year of building an ML trading system taught me</title>
      <link>https://starborneresearch.com/journal/starbornetrader-progress</link>
      <guid>https://starborneresearch.com/journal/starbornetrader-progress</guid>
      <pubDate>Sun, 05 Jul 2026 12:00:00 GMT</pubDate>
      <description>The honest state of my algorithmic trading project: the architecture that survived, the models that did not, and the lessons that cost the most to learn.</description>
    </item>
  </channel>
</rss>
