<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bittensor on Digital Asset Radar</title><link>https://digitalassetradar.com/tags/bittensor/</link><description>Recent content in Bittensor on Digital Asset Radar</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Jul 2026 20:38:13 +0000</lastBuildDate><atom:link href="https://digitalassetradar.com/tags/bittensor/index.xml" rel="self" type="application/rss+xml"/><item><title>Self-Improving AI Trading Agent: Build Guide</title><link>https://digitalassetradar.com/guides/self-improving-ai-trading-agent/</link><pubDate>Wed, 15 Jul 2026 20:38:13 +0000</pubDate><guid>https://digitalassetradar.com/guides/self-improving-ai-trading-agent/</guid><description>&lt;p>A self-improving AI trading agent is a system that does not just take a prompt and return an answer — it runs a strategy, scores the outcome of every trade, forms a hypothesis about what to change, and rewrites its own rules before the next cycle. In a May 2026 walkthrough, creator Lewis Jackson builds exactly that: a 24/7 agent wired into Claude Code, hosted on Railway, and pointed at a live Bittensor subnet strategy with real money behind it.&lt;/p></description></item></channel></rss>