<?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" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0"><channel><title><![CDATA[Machine Learning & Quant Finance]]></title><description><![CDATA[Links on Quantitative Topics (1-weekly)]]></description><link>https://blog.ml-quant.com</link><image><url>https://substackcdn.com/image/fetch/$s_!X41Z!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fcc1f692c-9c93-491c-be82-2d8b0de97577_735x735.png</url><title>Machine Learning &amp; Quant Finance</title><link>https://blog.ml-quant.com</link></image><generator>Substack</generator><lastBuildDate>Sun, 24 May 2026 14:22:47 GMT</lastBuildDate><atom:link href="https://blog.ml-quant.com/feed" rel="self" type="application/rss+xml"/><copyright><![CDATA[Derek Snow]]></copyright><language><![CDATA[en]]></language><webMaster><![CDATA[mlquant@substack.com]]></webMaster><itunes:owner><itunes:email><![CDATA[mlquant@substack.com]]></itunes:email><itunes:name><![CDATA[Dr. Derek Snow]]></itunes:name></itunes:owner><itunes:author><![CDATA[Dr. Derek Snow]]></itunes:author><googleplay:owner><![CDATA[mlquant@substack.com]]></googleplay:owner><googleplay:email><![CDATA[mlquant@substack.com]]></googleplay:email><googleplay:author><![CDATA[Dr. Derek Snow]]></googleplay:author><itunes:block><![CDATA[Yes]]></itunes:block><item><title><![CDATA[Quant Letter: May 2026, Week-3 ]]></title><description><![CDATA[121st Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-may-2026-week-3</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-may-2026-week-3</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Wed, 20 May 2026 11:12:54 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!Br4_!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F61719dff-4a88-45c2-afc2-34fb76daf6a3_1622x738.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>GitHub</h1><h2>Finance</h2>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-may-2026-week-3">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: April 2026, Week-3]]></title><description><![CDATA[120th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-april-2026-week-3</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-april-2026-week-3</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Fri, 17 Apr 2026 00:30:37 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!X41Z!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fcc1f692c-9c93-491c-be82-2d8b0de97577_735x735.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>Top 10 to Read First</h1><p><em>Cross-venue highlights ranked by novelty + practical quant relevance + ML depth.</em></p><p><strong>1. <a href="https://arxiv.org/abs/2604.11477">OOM-RL: Out-of-Money RL Market-Driven Alignment for LLM-Based Multi-Agent Systems</a></strong> (arXiv) Real-world 20-month study; Sharpe 2.06 via market friction as dense negative reward for MAS alignment.</p><div class="subscription-widget-wrap-editor" data-attrs="{&quot;url&quot;:&quot;https://blog.ml-quant.com/subscribe?&quot;,&quot;text&quot;:&quot;Subscribe&quot;,&quot;language&quot;:&quot;en&quot;}" data-component-name="SubscribeWidgetToDOM"><div class="subscription-widget show-subscribe"><div class="preamble"><p class="cta-caption">Machine Learning &amp; Quant Finance is a reader-supported publi&#8230;</p></div><form class="subscription-widget-subscribe"><input type="email" class="email-input" name="email" placeholder="Type your email&#8230;" tabindex="-1"><input type="submit" class="button primary" value="Subscribe"><div class="fake-input-wrapper"><div class="fake-input"></div><div class="fake-button"></div></div></form></div></div>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-april-2026-week-3">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: April 2026, Week-1]]></title><description><![CDATA[119th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-april-2026-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-april-2026-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Fri, 03 Apr 2026 18:15:38 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!X41Z!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fcc1f692c-9c93-491c-be82-2d8b0de97577_735x735.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ARXIV (q-fin) &#8212; Top 30 Papers</h1><h2>A. Most Recent (April 2026)</h2><p><strong>1. The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management</strong> Autonomous multi-agent system for institutional portfolio management with hierarchical decision-making. (2026-04-03)<a href="https://arxiv.org/abs/2604.02279">https://arxiv.org/abs/2604.02279</a></p><p><strong>2. Hedging Market Risk and Uncertainty via a Robust Portfolio Ap&#8230;</strong></p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-april-2026-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: March 2026, Week-1]]></title><description><![CDATA[118th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-march-2026-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-march-2026-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Wed, 04 Mar 2026 20:37:19 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!X41Z!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2Fcc1f692c-9c93-491c-be82-2d8b0de97577_735x735.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ARXIV (q-fin) &#8212; Top 10 Papers</h1><p><strong>1. TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure</strong> 524M-parameter generative Transformer learning from billions of trade events across 9K+ equities. Achieves 2-3x lower distributional error than Hawkes baselines, generalizes zero-shot to APAC markets. (2026-02-27) <a href="https://arxiv.org/abs/2602.23784">https://arxiv.org/abs/2602.23&#8230;</a></p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-march-2026-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: February 2026, Week-1]]></title><description><![CDATA[117th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-february-2026-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-february-2026-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Tue, 03 Feb 2026 00:25:03 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!xZSr!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F33cd2572-df45-4f7d-8a99-f1077ef5bdc8_1600x978.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h2>ARXIV (q-fin) &#8212; Top 10</h2><ol><li><p><strong><a href="https://arxiv.org/abs/2601.02310">T-KAN for HFT Limit Order Book Forecasting</a></strong> &#8212; 19.1% F1 improvement, 132% backtest return (2026-01-14)</p></li><li><p><strong><a href="https://arxiv.org/abs/2601.18811">Variational Quantum Circuit RL for Portfolio Optimization</a></strong> &#8212; Quantum-classical hybrid RL (2026-01-30)</p></li><li><p><strong><a href="https://arxiv.org/abs/2601.18804">Deep g-Pricing for CSI 300 Options</a></strong> &#8212; Vol trajectories + sentiment (2026-01-30)</p></li><li><p><strong><a href="https://arxiv.org/abs/2601.17773">MarketGANs for Financial Time-Series Augmentation</a></strong> &#8212; GAN&#8230;</p></li></ol>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-february-2026-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: January 2026, Week-3]]></title><description><![CDATA[116th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-january-2026-week-3</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-january-2026-week-3</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Fri, 16 Jan 2026 23:22:13 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!25rN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F378811e7-f081-4185-9599-1e6ea4d4c20e_1582x782.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="https://arxiv.org/abs/2601.10043v1">Finetuning LLaMA-3-8B for Financial NER with LoRA</a></strong>: The paper shows that using instruction fine-tuning and Low-Rank Adaptation with Meta&#8217;s Llama 3 enhances financial named-entity recognition, leading to top performance in converting unformatted reports into organized knowledge. (2026-01-15, shares: 0)</p><p><strong><a href="https://arxiv.org/abs/2601.10143v1">Adaptive Dataflow for Financial Time-Series</a></strong></p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-january-2026-week-3">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: December 2025, Week-3]]></title><description><![CDATA[115th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-december-2025-week-3</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-december-2025-week-3</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Fri, 19 Dec 2025 21:29:08 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!C68o!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3749ea1f-5b85-4196-ac1c-93c94e180756_871x462.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="https://arxiv.org/abs/2512.12924v1">Interpretable Trading Validation</a></strong>: The authors introduce a walk-forward validation technique for algorithmic trading that focuses on interpretability and robust testing, offering modest gains and strong protection against losses. (2025-12-15, shares: 2)</p><p><strong><a href="https://arxiv.org/abs/2512.14662v2">Static Framework for Pricing</a></strong>: This paper presents a model-free method for pricing fixed-inc&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-december-2025-week-3">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: December 2025, Week-2]]></title><description><![CDATA[114th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-december-2025-week-2</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-december-2025-week-2</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Sun, 14 Dec 2025 15:24:35 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!RuRF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="https://arxiv.org/abs/2512.10913v1">RL for Financial Decisions</a></strong>: Reinforcement learning improves financial decision-making by simplifying complex investment problems, emphasizing clear explanations and strong reliability over complex algorithms. (2025-12-11, shares: 2)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!RuRF!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!RuRF!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 424w, https://substackcdn.com/image/fetch/$s_!RuRF!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 848w, https://substackcdn.com/image/fetch/$s_!RuRF!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 1272w, https://substackcdn.com/image/fetch/$s_!RuRF!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!RuRF!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png" width="1456" height="1066" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:1066,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:424157,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/181593978?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!RuRF!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 424w, https://substackcdn.com/image/fetch/$s_!RuRF!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 848w, https://substackcdn.com/image/fetch/$s_!RuRF!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 1272w, https://substackcdn.com/image/fetch/$s_!RuRF!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F23775f36-d534-4eed-8001-c5310d34768d_2376x1740.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="https://arxiv.org/abs/2512.10823v1">Unified Risk-Neutral Pricing</a></strong>: The paper presents a new approach to pricing zero-coupon bonds that aligns them w&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-december-2025-week-2">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: December 2025, Week-1]]></title><description><![CDATA[113th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-december-2025-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-december-2025-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Thu, 04 Dec 2025 20:12:58 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!4guh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3208489e-89de-4332-a456-4f5bf635931c_2294x1396.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>SSRN</h1><h3>Recently Published</h3><h2>Quantitative</h2><p><strong><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4975765">Satellite Census of Residential Buildings for Climate Risk</a></strong>: The article recommends using open-source satellite data to conduct a worldwide census of residential buildings. This approach aims to improve understanding of climate risks and their effects on housing and financial stability. (2024-10-07, shares: 30)</p><p><strong><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4975855">Enhanced S&#8230;</a></strong></p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-december-2025-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: November 2025, Week-2]]></title><description><![CDATA[112th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-november-2025-week-2</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-november-2025-week-2</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Thu, 13 Nov 2025 19:39:44 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!Ki-N!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3fa1ac45-67d3-49c1-bf0b-013e0cb6c6e7_1610x868.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<p>We only have a <strong>couple of spots</strong> left for our live <strong>Agentic Finance course</strong>! https://www.agenticfinance.ai/enrollment (<strong>3 spots left</strong> for 2026, Thursdays)</p><p>Please read the syllabus before enrolling, its quite technical! </p><h1>ArXiv</h1><p><strong><a href="http://arxiv.org/abs/2511.04299v1">LLM News Indicator for Economic Outlook</a></strong>: We build an interpretable, privacy&#8209;friendly sentiment indicator from Swiss news using ML and LLMs&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-november-2025-week-2">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: November 2025, Week-1]]></title><description><![CDATA[111th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-november-2025-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-november-2025-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Tue, 04 Nov 2025 13:24:05 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!tsVQ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Feef91929-079c-49a1-a6d8-cf6206135e92_1892x1072.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2511.01486v1">Partial-Information Markets &amp; Divergent Beliefs</a></strong>: Shows how a mathematical model explains why prices and trader biases converge as traders get more information, and gives the best way to combine expert opinions to hunt for arbitrage. (2025-11-03, shares: 5)</p><p><strong><a href="http://arxiv.org/abs/2510.26627v1">Probabilistic Rule Layers for Financial Drift</a></strong>: Presents a simple, interpretable rule-ba&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-november-2025-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: October 2025, Week-4]]></title><description><![CDATA[110th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-october-2025-week-4</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-october-2025-week-4</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Mon, 27 Oct 2025 17:22:14 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!D-di!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2510.20221v1">FinCARE: KG+LLM for Financial Causal Discovery</a></strong>: Combines SEC knowledge graphs, LLM reasoning, and causal discovery to build more accurate finance&#8209;grounded causal models. (2025-10-23, shares: 7)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!D-di!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!D-di!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 424w, https://substackcdn.com/image/fetch/$s_!D-di!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 848w, https://substackcdn.com/image/fetch/$s_!D-di!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 1272w, https://substackcdn.com/image/fetch/$s_!D-di!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!D-di!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png" width="1456" height="805" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:805,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:1566930,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/177289340?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!D-di!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 424w, https://substackcdn.com/image/fetch/$s_!D-di!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 848w, https://substackcdn.com/image/fetch/$s_!D-di!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 1272w, https://substackcdn.com/image/fetch/$s_!D-di!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0bc35a80-4ea6-4f49-91af-036e23acb5ca_2048x1132.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2510.19271v1">Quantile-Targeted Portfolio Optimization</a></strong>: Finds that investors targeting specific outcome quantiles change volatility exposure (cutting risk to protec&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-october-2025-week-4">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: October 2025, Week-2]]></title><description><![CDATA[109th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-october-2025-week-2</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-october-2025-week-2</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Thu, 09 Oct 2025 17:52:25 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!NCPX!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2510.04555v1">TailSafe Hedging with Reinforcement Learning</a></strong>: The research presents Tail-Safe, a derivative hedging framework that blends reinforcement learning with a safety layer designed for financial constraints, ensuring robust forward invariance of the safe set under limited model mismatch. (2025-10-06, shares: 6)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!NCPX!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!NCPX!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 424w, https://substackcdn.com/image/fetch/$s_!NCPX!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 848w, https://substackcdn.com/image/fetch/$s_!NCPX!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 1272w, https://substackcdn.com/image/fetch/$s_!NCPX!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!NCPX!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png" width="1456" height="713" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:713,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:844250,&quot;alt&quot;:&quot;&quot;,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/175733629?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" title="" srcset="https://substackcdn.com/image/fetch/$s_!NCPX!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 424w, https://substackcdn.com/image/fetch/$s_!NCPX!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 848w, https://substackcdn.com/image/fetch/$s_!NCPX!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 1272w, https://substackcdn.com/image/fetch/$s_!NCPX!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7dff276f-a8da-4948-92b2-76b7de048b7f_2402x1176.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2510.07099v1">Diffusion-Augmented RL for Portfolio M&#8230;</a></strong></p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-october-2025-week-2">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: October 2025, Week-1]]></title><description><![CDATA[108th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-october-2025-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-october-2025-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Fri, 03 Oct 2025 13:51:35 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!Mu8I!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fb8b83366-2803-450d-8d26-bed8d388128f_1434x912.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2510.01814v1">Revisiting Mean-field Theory</a></strong>: The Santa Fe model, used for analyzing the dynamics of the limit order book, is reevaluated using kinetic theory, leading to a new equation for the order-book density profile and identifying a previous error by E. Smith and colleagues. (2025-10-02, shares: 24)</p><div class="captioned-image-container"><figure><a class="image-link image2" target="_blank" href="https://substackcdn.com/image/fetch/$s_!B9Tk!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!B9Tk!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 424w, https://substackcdn.com/image/fetch/$s_!B9Tk!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 848w, https://substackcdn.com/image/fetch/$s_!B9Tk!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 1272w, https://substackcdn.com/image/fetch/$s_!B9Tk!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!B9Tk!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png" width="1456" height="270" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/a7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:270,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:58331,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/175194092?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!B9Tk!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 424w, https://substackcdn.com/image/fetch/$s_!B9Tk!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 848w, https://substackcdn.com/image/fetch/$s_!B9Tk!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 1272w, https://substackcdn.com/image/fetch/$s_!B9Tk!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa7f67c58-8465-4f76-b1f7-add66384dd7a_1468x272.png 1456w" sizes="100vw" fetchpriority="high"></picture><div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2509.24151v1">Portfolio Similarity Metric</a></strong>: STRAPSim, a new method f&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-october-2025-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: September 2025, Week-4]]></title><description><![CDATA[107th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-september-2025-week-208</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-september-2025-week-208</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Mon, 22 Sep 2025 19:27:28 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!lSrK!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd7fe2d5c-3b37-468f-a65c-32c49cb2b976_1446x1286.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2509.12753v1">DeltaHedge: Options Optimization</a></strong>: DeltaHedge, an AI-based framework that combines portfolio management with options trading, outperforms traditional strategies and improves risk-adjusted returns in various market conditions. (2025-09-16, shares: 19)</p><p><strong><a href="http://arxiv.org/abs/2509.12519v1">Historical Context in Financial News Forecasting</a></strong>: The study suggests using large language mode&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-september-2025-week-208">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: September 2025, Week-2]]></title><description><![CDATA[ArXiv Finance]]></description><link>https://blog.ml-quant.com/p/quant-letter-september-2025-week</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-september-2025-week</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Sat, 13 Sep 2025 16:31:38 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!1MPp!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2509.05922v1">Market Trough Prediction</a></strong>: The research uses machine learning to identify that the volatility of options-implied risk and market liquidity are key factors causing market lows, challenging simpler models. (2025-09-07, shares: 19)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!1MPp!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!1MPp!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 424w, https://substackcdn.com/image/fetch/$s_!1MPp!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 848w, https://substackcdn.com/image/fetch/$s_!1MPp!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 1272w, https://substackcdn.com/image/fetch/$s_!1MPp!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!1MPp!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png" width="1456" height="422" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:422,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:135786,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/173520346?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!1MPp!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 424w, https://substackcdn.com/image/fetch/$s_!1MPp!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 848w, https://substackcdn.com/image/fetch/$s_!1MPp!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 1272w, https://substackcdn.com/image/fetch/$s_!1MPp!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F30c4bb09-6d13-4fe1-87a4-8323d24ad672_1507x437.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2509.06510v1">Optimal Exit in AMMs</a></strong>: The study investigates the best way for a liquidity provider to withdraw liquidity in an autom&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-september-2025-week">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: August 2025, Week-4]]></title><description><![CDATA[105th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-august-2025-week-4</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-august-2025-week-4</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Fri, 29 Aug 2025 08:08:21 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!9BR9!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2508.19006v1">Asset Pricing with Attention Models</a></strong>: The study finds that pretrained RNN attention models can effectively derive returns and hedge risks in asset pricing, even during extreme market conditions like the COVID-19 pandemic. (2025-08-26, shares: 16)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!9BR9!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!9BR9!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 424w, https://substackcdn.com/image/fetch/$s_!9BR9!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 848w, https://substackcdn.com/image/fetch/$s_!9BR9!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 1272w, https://substackcdn.com/image/fetch/$s_!9BR9!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!9BR9!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png" width="1456" height="1113" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/f7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:1113,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:329441,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/172237615?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!9BR9!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 424w, https://substackcdn.com/image/fetch/$s_!9BR9!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 848w, https://substackcdn.com/image/fetch/$s_!9BR9!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 1272w, https://substackcdn.com/image/fetch/$s_!9BR9!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff7a4d5c2-fb38-41fb-8aef-2be20b0e41c9_2142x1638.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2508.18679v1">ESG Risk Variables Algorithm</a></strong>: The research introduces a Hierarchical Variable Selection algorithm &#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-august-2025-week-4">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: August 2025, Week-3]]></title><description><![CDATA[104th Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-august-2025-week-3</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-august-2025-week-3</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Wed, 20 Aug 2025 13:51:36 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!625s!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2508.11152v1">Stock Selection Analysis</a></strong>: The article investigates the application and effectiveness of role-based multi-agent AI systems in equity research and portfolio management, including their advantages and challenges. (2025-08-15, shares: 56)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!625s!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!625s!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 424w, https://substackcdn.com/image/fetch/$s_!625s!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 848w, https://substackcdn.com/image/fetch/$s_!625s!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 1272w, https://substackcdn.com/image/fetch/$s_!625s!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!625s!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png" width="1456" height="535" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/ed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:535,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:529177,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/171472468?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!625s!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 424w, https://substackcdn.com/image/fetch/$s_!625s!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 848w, https://substackcdn.com/image/fetch/$s_!625s!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 1272w, https://substackcdn.com/image/fetch/$s_!625s!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fed62e734-bd4c-45fd-b375-8857f531aa58_2866x1054.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2508.10682v1">Distortion Risk Measures with Partial Information</a></strong>: The study presents two new types of distributional uncerta&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-august-2025-week-3">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: August 2025, Week-2]]></title><description><![CDATA[103rd Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-august-2025-week-2</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-august-2025-week-2</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Tue, 12 Aug 2025 15:05:36 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!GlA0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<p>Check out the enhanced <strong><a href="http://www.prymer.ai">Prymer.ai</a></strong>, it generates the best equity primers on the market. See for yourself, <strong><a href="https://storage.googleapis.com/derek-snow-at-outlook-co-nz-public/sovai-agents-derek-snow-at-outlook-co-nz-positive-1a/tickercompany/RIG_Transocean-Ltd/final_report/RIG_Transocean-Ltd.html">RIG report</a></strong> was generated in under 25 mins. </p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!GlA0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!GlA0!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 424w, https://substackcdn.com/image/fetch/$s_!GlA0!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 848w, https://substackcdn.com/image/fetch/$s_!GlA0!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 1272w, https://substackcdn.com/image/fetch/$s_!GlA0!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!GlA0!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png" width="1456" height="748" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:748,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:396652,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/170793355?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!GlA0!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 424w, https://substackcdn.com/image/fetch/$s_!GlA0!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 848w, https://substackcdn.com/image/fetch/$s_!GlA0!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 1272w, https://substackcdn.com/image/fetch/$s_!GlA0!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F76e38d5d-1fb0-4d7a-b675-bfdae985ba5a_3202x1646.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p>We&#8217;re in &#120303;&#120306;&#120321;&#120302; and the first report is free! <strong><a href="https://storage.googleapis.com/derek-snow-at-outlook-co-nz-public/sovai-agents-derek-snow-at-outlook-co-nz-positive-1a/tickercompany/RIG_Transocean-Ltd/final_report/RIG_Transocean-Ltd.html">RIG report example</a></strong></p><p></p><h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2508.06010v1">Time Series Model for Financial Simulator</a></strong>: A new financial model has been developed for an online app that simulates wealth proces&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-august-2025-week-2">
              Read more
          </a>
      </p>
   ]]></content:encoded></item><item><title><![CDATA[Quant Letter: August 2025, Week-1]]></title><description><![CDATA[102nd Edition]]></description><link>https://blog.ml-quant.com/p/quant-letter-august-2025-week-1</link><guid isPermaLink="false">https://blog.ml-quant.com/p/quant-letter-august-2025-week-1</guid><dc:creator><![CDATA[Dr. Derek Snow]]></dc:creator><pubDate>Thu, 07 Aug 2025 18:54:41 GMT</pubDate><enclosure url="https://substackcdn.com/image/fetch/$s_!TCOZ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png" length="0" type="image/jpeg"/><content:encoded><![CDATA[<h1>ArXiv</h1><h2>Finance</h2><p><strong><a href="http://arxiv.org/abs/2508.04344v1">Performative Market Making</a></strong>: The research shows how financial models can shape market processes and influence price changes, enabling market makers to use dominant strategies. (2025-08-06, shares: 5)</p><div class="captioned-image-container"><figure><a class="image-link image2 is-viewable-img" target="_blank" href="https://substackcdn.com/image/fetch/$s_!TCOZ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png" data-component-name="Image2ToDOM"><div class="image2-inset"><picture><source type="image/webp" srcset="https://substackcdn.com/image/fetch/$s_!TCOZ!,w_424,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 424w, https://substackcdn.com/image/fetch/$s_!TCOZ!,w_848,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 848w, https://substackcdn.com/image/fetch/$s_!TCOZ!,w_1272,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 1272w, https://substackcdn.com/image/fetch/$s_!TCOZ!,w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 1456w" sizes="100vw"><img src="https://substackcdn.com/image/fetch/$s_!TCOZ!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png" width="1456" height="596" data-attrs="{&quot;src&quot;:&quot;https://substack-post-media.s3.amazonaws.com/public/images/ea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png&quot;,&quot;srcNoWatermark&quot;:null,&quot;fullscreen&quot;:null,&quot;imageSize&quot;:null,&quot;height&quot;:596,&quot;width&quot;:1456,&quot;resizeWidth&quot;:null,&quot;bytes&quot;:786225,&quot;alt&quot;:null,&quot;title&quot;:null,&quot;type&quot;:&quot;image/png&quot;,&quot;href&quot;:null,&quot;belowTheFold&quot;:false,&quot;topImage&quot;:true,&quot;internalRedirect&quot;:&quot;https://blog.ml-quant.com/i/170386770?img=https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png&quot;,&quot;isProcessing&quot;:false,&quot;align&quot;:null,&quot;offset&quot;:false}" class="sizing-normal" alt="" srcset="https://substackcdn.com/image/fetch/$s_!TCOZ!,w_424,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 424w, https://substackcdn.com/image/fetch/$s_!TCOZ!,w_848,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 848w, https://substackcdn.com/image/fetch/$s_!TCOZ!,w_1272,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 1272w, https://substackcdn.com/image/fetch/$s_!TCOZ!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fea359772-80d0-49a4-b416-bf2c9ad1e1bc_2596x1062.png 1456w" sizes="100vw" fetchpriority="high"></picture><div class="image-link-expand"><div class="pencraft pc-display-flex pc-gap-8 pc-reset"><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container restack-image"><svg role="img" width="20" height="20" viewBox="0 0 20 20" fill="none" stroke-width="1.5" stroke="var(--color-fg-primary)" stroke-linecap="round" stroke-linejoin="round" xmlns="http://www.w3.org/2000/svg"><g><title></title><path d="M2.53001 7.81595C3.49179 4.73911 6.43281 2.5 9.91173 2.5C13.1684 2.5 15.9537 4.46214 17.0852 7.23684L17.6179 8.67647M17.6179 8.67647L18.5002 4.26471M17.6179 8.67647L13.6473 6.91176M17.4995 12.1841C16.5378 15.2609 13.5967 17.5 10.1178 17.5C6.86118 17.5 4.07589 15.5379 2.94432 12.7632L2.41165 11.3235M2.41165 11.3235L1.5293 15.7353M2.41165 11.3235L6.38224 13.0882"></path></g></svg></button><button tabindex="0" type="button" class="pencraft pc-reset pencraft icon-container view-image"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-maximize2 lucide-maximize-2"><polyline points="15 3 21 3 21 9"></polyline><polyline points="9 21 3 21 3 15"></polyline><line x1="21" x2="14" y1="3" y2="10"></line><line x1="3" x2="10" y1="21" y2="14"></line></svg></button></div></div></div></a></figure></div><p><strong><a href="http://arxiv.org/abs/2508.02971v1">LossVersus-Rebalancing</a></strong>: The study introduces a mathematical model that views a CFAMM position as a portfolio of perpetual American CI options, ai&#8230;</p>
      <p>
          <a href="https://blog.ml-quant.com/p/quant-letter-august-2025-week-1">
              Read more
          </a>
      </p>
   ]]></content:encoded></item></channel></rss>