<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Measure Theory LLC]]></title><description><![CDATA[Measure Theory LLC]]></description><link>https://www.measure-theory.com/resources</link><generator>RSS for Node</generator><lastBuildDate>Mon, 19 Oct 2026 16:00:15 GMT</lastBuildDate><atom:link href="https://www.measure-theory.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Direct Access to Systematic Alpha: A Better Way to Build Conviction]]></title><description><![CDATA[For family offices and fund-of-funds, the hardest part of finding new alpha is often not identifying promising managers. It is gaining enough confidence to make a meaningful allocation — without taking an unnecessarily large first risk. Measure Theory is designed to replace that all-or-nothing decision with a more practical process: give emerging or capacity-constrained systematic managers a small, controlled, directly owned mandate; observe how the strategy behaves in live markets; and...]]></description><link>https://www.measure-theory.com/post/direct-access-to-systematic-alpha-a-better-way-to-build-conviction</link><guid isPermaLink="false">6a8359ce3a73f167659bf46c</guid><pubDate>Wed, 05 Aug 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_a721f38dee06448281778b5b214a47b6~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item><item><title><![CDATA[The Machine Takes the Market: A Technological History of Computerized Trading]]></title><description><![CDATA[Computerized trading began as an effort to automate the movement of orders and prices through market infrastructure. It became a system in which computers do far more: they consume data, infer signals, price risk, allocate portfolios, route orders, manage queues, monitor exposures, and—in the fastest markets—react before a human can perceive a change. The history is therefore not just a story of faster execution. It is the gradual conversion of the market from a place where humans...]]></description><link>https://www.measure-theory.com/post/the-machine-takes-the-market-a-technological-history-of-computerized-trading</link><guid isPermaLink="false">6a834ea6ac7c822a0dc0a3c3</guid><pubDate>Wed, 05 Aug 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_c5daf30ca1674a69826a077688771baa~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item><item><title><![CDATA[Turn Manager Selection Into Portfolio Infrastructure]]></title><description><![CDATA[Imagine that your portfolio has a dedicated environment for testing new return sources before they become major allocations: a controlled place to observe managers, measure real costs, and scale only what earns conviction. That is the role Measure Theory can play for a family office or fund-of-funds. It is not another manager-selection spreadsheet or a pooled investment product. It is a modular allocation layer: an operating environment that lets an allocator turn manager discovery, live...]]></description><link>https://www.measure-theory.com/post/turn-manager-selection-into-portfolio-infrastructure</link><guid isPermaLink="false">6a835f31f59f6f7f10686d62</guid><pubDate>Wed, 05 Aug 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_7bb319d66a804c88842ef485aeddb476~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item><item><title><![CDATA[From Punch Cards to Global Markets: A History of Systematic Trading]]></title><description><![CDATA[Systematic trading — the use of explicit rules, data, and repeatable processes to make investment decisions — did not begin with modern artificial intelligence or high-frequency firms. Its roots reach back to early statistical finance, commodity speculation, and the first attempts to encode human judgment into mechanical rules. What changed over time was not the underlying ambition. Traders have long wanted to replace inconsistency, emotion, and intuition with a disciplined process. The...]]></description><link>https://www.measure-theory.com/post/from-punch-cards-to-global-markets-a-history-of-systematic-trading</link><guid isPermaLink="false">6a82456da7a7d1a936d867bf</guid><pubDate>Tue, 04 Aug 2026 23:21:48 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_47714edb19944059ac844a3525717659~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item><item><title><![CDATA[03 - Make the Record Defensible]]></title><description><![CDATA[Why Provenance Matters Before a Strategy Scales A return series is useful. A record that explains how those returns were produced is far more valuable. Before allocating meaningful capital, an investment committee needs more than evidence that a strategy performed well. It needs confidence that the stated process actually generated the observed results, that live execution followed the model, and that deviations or exceptions were identified, reviewed, and retained. Performance without...]]></description><link>https://www.measure-theory.com/post/03-make-the-record-defensible</link><guid isPermaLink="false">6a82106068f1938b2e2face3</guid><pubDate>Mon, 03 Aug 2026 19:34:40 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_91807df8882845ee8acdbad31d8ea4f4~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item><item><title><![CDATA[02 - Convert Diligence Into a Mandate]]></title><description><![CDATA[The Missing Stage Between Due Diligence and Allocation Conviction does not need to be all or nothing. For emerging or unproven investment managers, the allocation decision is often framed as a binary choice: decline the opportunity because the live record is limited, or commit meaningful capital and accept the uncertainty that comes with it. There is a more disciplined middle path: a sponsor-defined validation mandate. Rather than treating due diligence as a one-time gate before a full...]]></description><link>https://www.measure-theory.com/post/02-convert-diligence-into-a-mandate</link><guid isPermaLink="false">6a820fd20d24f7afd0f3809e</guid><pubDate>Sun, 02 Aug 2026 19:30:52 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_bb296703f1794926b77b17a97b4d2ed5~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item><item><title><![CDATA[01 - The Backtest Is Not The Track Record]]></title><description><![CDATA[Historical Results Can Justify Investigation Historical results can justify investigation. They cannot establish an operating record. Family offices and fund-of-funds teams routinely encounter managers whose research is compelling but whose live history is too brief — or nonexistent — to support a conventional allocation decision. The standard institutional response is often to wait for a longer track record, pass on the opportunity entirely, or rely heavily on narrative, references, and...]]></description><link>https://www.measure-theory.com/post/01-the-backtest-is-not-the-track-record</link><guid isPermaLink="false">6a820d800184b89c47fbffdf</guid><pubDate>Sat, 01 Aug 2026 19:29:03 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4a278a_e9c8b99f138c48f7ac47e429f597e24c~mv2.png/v1/fit/w_1000,h_941,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Pradyumna Sribharga Upadrashta</dc:creator></item></channel></rss>