<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator><link href="https://quanta-edge.com/blog/feed.xml" rel="self" type="application/atom+xml" /><link href="https://quanta-edge.com/" rel="alternate" type="text/html" hreflang="en" /><updated>2026-10-24T17:49:10+08:00</updated><id>https://quanta-edge.com/blog/feed.xml</id><title type="html">Quanta Edge</title><subtitle>Quanta Edge is an AI-native trading firm in Hong Kong. A small team builds the system; agents research, experiment and trade across global markets.</subtitle><entry><title type="html">Introducing Quanta Edge</title><link href="https://quanta-edge.com/blog/2026/10/introducing-quanta-edge/" rel="alternate" type="text/html" title="Introducing Quanta Edge" /><published>2026-10-24T00:00:00+08:00</published><updated>2026-10-24T00:00:00+08:00</updated><id>https://quanta-edge.com/blog/2026/10/introducing-quanta-edge</id><content type="html" xml:base="https://quanta-edge.com/blog/2026/10/introducing-quanta-edge/"><![CDATA[<p>Quanta Edge is a new kind of trading firm: <strong>a small team, thousands of agents, global markets.</strong></p>

<p>Trading firms usually grow one market at a time, adding researchers, engineers and infrastructure
for each new market. We think AI agents change that. A few people can build one shared system in
which agents research, experiment and trade, and every validated improvement carries into the next
market.</p>

<h2 id="three-ideas">Three ideas</h2>

<ol>
  <li><strong>Parallel research.</strong> Agents pursue many candidates across markets at once. Only the strongest
advance to trading.</li>
  <li><strong>Real-world experiments.</strong> Agents don’t just backtest. They design, deploy and measure systems on
real hardware, including FPGAs.</li>
  <li><strong>Compounding capability.</strong> Better methods, better infrastructure and better foundation models all
enter the same system, and after evaluation they scale across every workflow.</li>
</ol>

<h2 id="what-well-write-about">What we’ll write about</h2>

<p>This blog will cover agent-driven research, low-latency systems and FPGA design, and what we learn
building the firm. Subscribe via <a href="/blog/feed.xml">RSS</a>.</p>]]></content><author><name>Maolin Wang</name></author><category term="company" /><summary type="html"><![CDATA[Why we are building a trading firm around agents from day one.]]></summary></entry></feed>