<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>TigerTradeBot Blog</title><description>Systematic trading education, platform deep-dives, and engineering notes from the TigerTradeBot team.</description><link>https://tigertradebot.com/</link><item><title>TigerTradeBot 1.0: What&apos;s in It</title><link>https://tigertradebot.com/blog/tigertradebot-1-0-launch/</link><guid isPermaLink="true">https://tigertradebot.com/blog/tigertradebot-1-0-launch/</guid><description>Version 1.0: paper trading on a built-in simulator, the Strategy Lab, Schwab, Alpaca and Polymarket (Webull in beta), an AI copilot with local model support, and risk controls.</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Why We Built a Local-First Trading Platform</title><link>https://tigertradebot.com/blog/why-we-built-a-local-first-trading-platform/</link><guid isPermaLink="true">https://tigertradebot.com/blog/why-we-built-a-local-first-trading-platform/</guid><description>Your strategies, your data, your machine. The engineering case for a self-hosted trading platform: privacy, custody of your own records, local work, and local AI.</description><pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate></item><item><title>What Is Walk-Forward Testing?</title><link>https://tigertradebot.com/blog/what-is-walk-forward-testing/</link><guid isPermaLink="true">https://tigertradebot.com/blog/what-is-walk-forward-testing/</guid><description>Simple backtests overfit. Walk-forward testing shows whether a strategy holds up on data it has never seen. Here&apos;s how it works and what to look for.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate></item></channel></rss>