<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>CandleAtlas</title><description>An anonymous journal on building a reinforcement-learning trading system for crypto markets — about method, infrastructure, and honest failures. No signals, no returns, not investment advice.</description><link>https://candleatlas.com/</link><item><title>The Early-Stopping Trap: How I Killed RL Runs Before They Could Learn</title><link>https://candleatlas.com/en/the-early-stopping-trap/</link><guid isPermaLink="true">https://candleatlas.com/en/the-early-stopping-trap/</guid><description>Early stopping is supposed to save you from burning compute on a model that&apos;s finished learning. For a long stretch, it was the thing burning my compute — by killing good agents before they ever got good.</description><pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate></item><item><title>What a 99.99% Drawdown Taught Me About Building Trading Bots</title><link>https://candleatlas.com/en/what-a-99-percent-drawdown-taught-me/</link><guid isPermaLink="true">https://candleatlas.com/en/what-a-99-percent-drawdown-taught-me/</guid><description>The first trading bot I ever shipped to a live account lost almost everything. Win rate: 25%. Maximum drawdown: 99.99%. It did not blow up because the market was cruel. It blew up because I built it the way most people build their first bot — as a prototype held together by my ow…</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate></item></channel></rss>