<?xml version="1.0" encoding="UTF-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Quant · Insights</title><link>https://www.thequant.dev/insights</link><description>Market education, quant methods, and research.</description><atom:link href="https://www.thequant.dev/insights/rss.xml" rel="self" type="application/rss+xml" /><item><title>Anatomy of a Quant Strategy: From Idea to Executable Rule</title><link>https://www.thequant.dev/insights/anatomy-of-a-quant-strategy</link><guid>https://www.thequant.dev/insights/anatomy-of-a-quant-strategy</guid><category>education</category><description>Every quant strategy — however complex — is six explicit parts. We take one real backtest apart, from its economic hypothesis to the fee that outgrew the starting capital, to show how a hunch becomes a rule a machine can test and trade.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>How Much Did It Make? The Six Return Metrics</title><link>https://www.thequant.dev/insights/how-much-did-it-make</link><guid>https://www.thequant.dev/insights/how-much-did-it-make</guid><category>education</category><description>Every strategy is sold with one shiny number — total return. It never tells you how long it took, what you endured, or whether it repeats. Six metrics break "profit" into its parts.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Risk First: Drawdown, Volatility, VaR &amp; Position Sizing</title><link>https://www.thequant.dev/insights/risk-first</link><guid>https://www.thequant.dev/insights/risk-first</guid><category>education</category><description>The discretionary investor asks how much they'll make and finds out the risk when it lands. The quant reverses it — decide the most pain you'll endure first, then build what fits. Here's how to read a full risk dashboard.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Sharpe, Sortino, Calmar &amp; What Each Metric Hides</title><link>https://www.thequant.dev/insights/sharpe-sortino-calmar</link><guid>https://www.thequant.dev/insights/sharpe-sortino-calmar</guid><category>education</category><description>The return metrics told you what happened. These six risk-adjusted numbers ask the harder question — was it repeatable skill, or luck in a single sample? — and every one has a blind spot.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>The Six Families of Quant Strategies</title><link>https://www.thequant.dev/insights/six-families-of-quant-strategies</link><guid>https://www.thequant.dev/insights/six-families-of-quant-strategies</guid><category>education</category><description>"Algorithmic trading" is not one thing — it's six families, each with a different answer to why the return exists, a real backtest, and a precise environment where it stops working.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>The Six Ways a Backtest Lies to You</title><link>https://www.thequant.dev/insights/six-ways-a-backtest-lies</link><guid>https://www.thequant.dev/insights/six-ways-a-backtest-lies</guid><category>education</category><description>A backtest is a tool of proof and of deception at once. Its six traps don't make bad results — they make beautiful false ones, which is worse, because a bad result is rejected while a beautiful one is believed and funded.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Where Does the Excess Return Come From?</title><link>https://www.thequant.dev/insights/where-does-excess-return-come-from</link><guid>https://www.thequant.dev/insights/where-does-excess-return-come-from</guid><category>education</category><description>Every strategy earns because someone on the other side loses — or accepts less for something else. Name that party and why they stay, or your edge is a coincidence. There are four sources, and each has a half-life.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Where to Actually Start: The 4-Step Work Cycle</title><link>https://www.thequant.dev/insights/where-to-start</link><guid>https://www.thequant.dev/insights/where-to-start</guid><category>guides</category><description>Everything in the series stays inert until you test your first hypothesis. These four steps are one complete work cycle you can run today — from a written question to a result that holds or fails.</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Modern Portfolio Theory &amp; the Efficient Frontier</title><link>https://www.thequant.dev/insights/modern-portfolio-theory-efficient-frontier</link><guid>https://www.thequant.dev/insights/modern-portfolio-theory-efficient-frontier</guid><category>education</category><description>A portfolio is not judged by return alone. Modern Portfolio Theory plots every allocation as a point in risk-return space — and the efficient frontier is the edge where you stop leaving return on the table.</description><pubDate>Sat, 25 Jul 2026 00:00:00 GMT</pubDate></item><item><title>Understanding Quantitative Analysis</title><link>https://www.thequant.dev/insights/understanding-quantitative-analysis</link><guid>https://www.thequant.dev/insights/understanding-quantitative-analysis</guid><category>education</category><description>Quantitative analysis is a commitment that every decision is written down in advance — measurable, testable, and reviewable. Here's what that means, and why it beats trading on impression.</description><pubDate>Fri, 24 Jul 2026 00:00:00 GMT</pubDate></item></channel></rss>