<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai — OHLCV</title><link>https://ohlcv.io/tags/ai/</link><description>Quant trading research and writing</description><generator>Hugo</generator><language>en-au</language><lastBuildDate>Wed, 27 May 2026 23:43:46 +1000</lastBuildDate><atom:link href="https://ohlcv.io/tags/ai/" rel="self" type="application/rss+xml"/><item><title>Persistent memory for AI coding</title><link>https://ohlcv.io/posts/persistent-memory-for-ai-coding/</link><pubDate>Tue, 26 May 2026 00:00:00 +1000</pubDate><guid>https://ohlcv.io/posts/persistent-memory-for-ai-coding/</guid><description>Every serious quant trader is likely using AI now to research and build models. Mastering how your coding agent propagates knowledge you build up is essential.</description></item></channel></rss>