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Quant LetterNo. 118

November 2025, Week 1

101 items across 9 sections, as sent to readers on 4 November 2025. Paper titles open their ML-Quant page; ↗ goes to the source.

arXiv

Quantitative-finance and ML-for-finance preprints from arXiv.

10 items

Finance2

Miscellaneous1

01

Here are some shorter title options (no numbering): - Excess Growth - Excess Rate - Growth Excess - Surplus Growth - Overgrowth - Growth Surplus Recommended: Excess Growth (keeps meaning but is more concise).

- Excess Growth - Excess Rate - Growth Excess - Surplus Growth - Overgrowth - Growth Surplus Recommended: Excess Growth (keeps meaning but is more concise).: The paper proves that a central portfolio metric—the excess growth rate—can be exactly described using basic information‑theory ideas and a few natural axioms. In short, it shows that the extra growth a portfolio achieves is essentially an information quantity, so portfolio performance can be understood like information gain.

4 shares1 citation todaySource ↗

Historical Trending7

01

AI Data Economics

Lays out data economics: why data is special, documents AI training-data deals, proposes a hierarchy of data units, and lists key research questions.

22 shares3 citations todaySource ↗

02

Fed Quantiles

Models a central bank that maximizes a quantile (not expected) utility, linking hawkish/dovish leanings to that quantile and finding the Fed is mostly dovish.

14 sharesSource ↗

03

Omniscient Lazy Investor

Shows a perfectly informed but slow trader has a single optimal waiting time between trades set by execution costs and the price path's roughness (Hurst/fractal), supported by theory and data.

9 sharesSource ↗

05

Automation, Skills, and Inequality

Whether automation raises or lowers inequality depends on how workers’ skills relate to each other and to the technology, and the effect can reverse as the technology improves.

6 shares2 citations todaySource ↗

06

PEARL: Liquid Private‑Equity Replication

Liquid Private‑Equity Replication: Introduces PEARL, an AI method that reconstructs private‑equity returns from liquid assets using timing and leverage adjustments to better match quarterly PE benchmarks.

4 sharesSource ↗

RePEc

Economics working papers from RePEc's NEP field reports.

30 items

Finance9

01

Volatile KSE-30 Stocks

Used ML and copula models to see how KSE‑30 stocks move with the market, forecast volatility, and build a lower‑volatility portfolio.

10 sharesSource ↗

Statistical3

Machine Learning5

Deep Learning3

02

Demand Forecasting for New Fashion

Review: Predicting demand for new fashion items is hard (changing tastes, seasonality, social media), but machine learning—especially deep learning and ensemble methods—can improve accuracy.

4 sharesSource ↗

Historical Trending10

01

Adaptive VIX Forecasts

Machine learning with dynamic nonlinear models and weekly jobless claims predicts daily VIX (market volatility) more accurately, helping forecasts and trading.

12 sharesSource ↗

02

Eurozone Bank Stocks: DL vs Traditional

DL vs Traditional: For ten large Eurozone banks, traditional ML (XGBoost, logistic regression) outperformed LSTM/BiLSTM for daily stock direction—likely due to too little data for deep learning.

7 sharesSource ↗

03

Gig Platform Work Satisfaction

The WNSS didn’t fit EU online gig workers; a simpler 12-item scale with three factors (survival, social contribution, competence) describes their needs better.

2 sharesSource ↗

04

AI for Cloud Resources

AI methods (predictive analytics, reinforcement learning, anomaly detection) can automate and improve cloud resource management for more efficient DevOps.

2 sharesSource ↗

Machine learning

The general machine-learning papers the letter carried in 2023-25.

7 items

Historical Trending7

01

Efficient 2D/3D Positional Encodings

STRING — a compact, translation-invariant position encoding that generalizes rotary encodings to any number of dimensions to boost vision and robotics models.

23 shares20 citations todaySource ↗

02

RiskAverse Conformal Prediction

RAC turns prediction sets into decision rules that provably maximize utility while keeping risk below a user-specified threshold.

23 shares46 citations todaySource ↗

04

AADDCE: Prostate DCE MRI GAN

Prostate DCE MRI GAN: AAD-DCE: an attention-based GAN that uses multiple MRI inputs to synthesize early and late DCE-MRI, reducing toxic contrast-agent use and outperforming prior methods.

6 shares2 citations todaySource ↗

05

Mosaic3D: Open-Vocabulary 3D Segmentation

Open-Vocabulary 3D Segmentation: Mosaic3D-5.6M: an automated pipeline and 3D mask–text dataset used to train Mosaic3D, achieving state-of-the-art open-vocabulary 3D semantic and instance segmentation.

6 shares24 citations todaySource ↗

06

EPV Benchmark & U-Net Pass Value

OJN-Pass-EPV: a new benchmark and U-Net EPV model (predicting ball height and pass risk/reward) that correctly identifies the higher-value game state about 78% of the time.

5 shares2 citations todaySource ↗

07

OMatG: Generative Model for Crystal Discovery

Generative Model for Crystal Discovery: OMatG: a generative framework using stochastic interpolants and symmetry-aware (equivariant) crystal representations to design stable inorganic crystals, setting a new state of the art.

3 shares30 citations todaySource ↗

Papers with code

Papers that shipped their code, from the Papers with Code feed (2023-25).

4 items

Trending2

01

Kimi Linear: Hybrid Linear Attention

Hybrid Linear Attention: Kimi Linear: a new hybrid linear‑attention model that beats full attention while using far less memory, decoding much faster, and with code and checkpoints open‑sourced.

500 shares

Rising2

01

Toolathlon: Long‑Horizon Agent Benchmark

Long‑Horizon Agent Benchmark: Toolathlon — a benchmark across 32 apps and 604 tools that tests agents on long, realistic workflows and shows current models often fail to complete them.

33 shares

02

CALM Continuous Next‑Vector Models

CALM — a method that compresses multiple tokens into one continuous vector and predicts those vectors instead of tokens, cutting generation steps and making generation much faster.

19 shares

GitHub

Repositories the letter featured.

10 items

Finance5

01

Quant Resources

Curated study materials and tools to help people prepare for quant and software-engineering jobs at trading firms, HFTs, and hedge funds.

1,333 shares

02

Top Rust ML Libs

A ranked list of the best machine-learning libraries available in Rust, comparing their strengths.

437 shares

03

NOFX Trading OS

NOFX proposes a next-generation, AI-powered trading operating system to automate and optimize trading workflows.

6,031 shares

04

Paper Trading

An AI paper-trading project (inspired by nof1 Alpha Arena) that uses cctx to fetch market quotes for simulated trading.

346 shares

05

DeepFund

NeurIPS25 demo DeepFund Pilot showcasing deep-learning tools to help evaluate and manage fund investments.

208 shares

Trending5

01

TOONJSON

TOON — a compact JSON-like prompt format that roughly halves token use and includes spec, benchmarks, and reference code.

8,024 shares

02

OA Interview

Guide — explains how online assessments and interviews work and how to prepare for them.

2,228 shares

03

Agent CLI Mux

Cmux — runs multiple coding-agent CLIs (Claude, Codex, Gemini, etc.) in parallel so you can handle many tasks at once.

398 shares

04

PyStack

No title provided — no content available to summarize.

295 shares

05

LG Drive

Opensource Google Drive alternative for storing and sharing files.

1,802 shares

News

Industry news: funds, hiring, markets and regulation.

13 items

Quantitative6

01

Winton launches US futures fund

Winton, a UK quantitative firm, entered the US mutual fund market by becoming adviser to the Altegris Futures Evolution Strategy Fund.

5 shares

02

Bain Capital buys stake in Innocap

Bain Capital bought a minority stake in Montreal’s Innocap to tap growing institutional demand for separately managed accounts.

3 shares

04

Millennium eyes $5bn

Millennium Management is raising $5 billion to start a new private‑markets fund, moving beyond its usual liquid strategies.

2 shares

05

Carlyle talent returns

People and companies are returning to banks, but they’re using them in new, different ways than before.

2 shares

Miscellaneous7

04

OConnor Sale

UBS is proceeding with the sale of its O’Connor hedge fund unit to US brokerage Cantor Fitzgerald.

1 shares

05

Macquarie Picks

Macquarie’s Melbourne Cup predictions narrowly picked the winner — it was right by a nose.

0 shares

06

Challenge

No article was provided to summarize.

0 shares

07

Citi CTO: AI Cuts

AI Cuts: Citi published a compendium of AI use cases — a short guide to how AI can be applied in finance.

0 shares

Podcasts

Episodes on markets, quant methods and economics.

10 items

Quantitative5

01

Managed Futures Diversifier

Kathryn Kaminski: Managed futures had a big recent drawdown, but they still diversify portfolios and patient investors may be rewarded over time.

7 shares

02

Bullish Credit Puts

Market Chameleon guests: A credit put spread is shown as a way to limit downside risk, manage volatility, and earn steady income.

5 shares

03

LTCMA 30 Outlook

Tim Lintern (J.P. Morgan): The 30th Long‑Term Capital Market Assumptions give long‑run forecasts that help shape strategic asset allocation.

5 shares

04

VortexNet — AI

Researchers: VortexNet, a neural network inspired by whirlpool fluid dynamics, aims to fix vanishing gradients and better handle long‑range dependencies.

4 shares

05

Central Bank Moves

Ipek Ozil & Khagendra Gupta: Recent and upcoming central bank actions are changing interest‑rate derivative pricing and market behavior.

4 shares

Related5

01

DB Buyouts

Lara Edmonstone‑West: DB pension schemes should prioritize buy‑ins or buyouts to guarantee members’ pensions instead of trying to extract surpluses.

3 shares

02

EM Fixed Income

JPMorgan strategists: A review of recent market moves and what they mean for risks and opportunities in emerging‑market fixed‑income.

3 shares

03

China LNG Peak (early 2030s)

Analysts on China LNG: China’s LNG demand will peak around 2032, and growing infrastructure could let it become a major global LNG trader.

3 shares

04

Short Seller's Mind

Alex Temiz: Practical lessons on disciplined short selling, trading psychology, and the habits needed to survive as a trader.

3 shares

05

Macro & Credit Opportunities

Tony Yoseloff: How to invest across different market cycles and where to find opportunity in alternative assets.

3 shares

Blogs

Posts from quant and economics blogs and newsletters.

10 items

Quantitative5

01

Asian Quant

Quant finance used to be concentrated in big global centers like New York and London.

7 shares

02

Risk vs. Portfolio

Modern risk management grew out of work by a small group of New York quants between 1987 and 1993.

4 shares

03

NYC Mayor Markets

A prediction market shows the NYC mayoral race as basically decided, and Bill Ackman objects to that signal.

3 shares

04

NYC Mayor Markets

Critics warn Polymarket’s high odds for Zohran Mamdani can be pushed by small bets and might mislead.

3 shares

05

NYC Mayor Markets

Observers question why anyone would buy Mamdani at 95% on Polymarket, suggesting the price could be manipulated.

3 shares

Related5

01

Connors R3

Tests Larry Connors' R3 strategy and reports how it performed on historical data.

2 shares

02

Neural-Net Indicator Pt.3

Uses a neural net to tune a trading indicator on 10‑minute EUR/USD and shows preliminary results.

2 shares

03

Neural-Net Indicator Pt.3

Follow‑up with additional neural‑net indicator tests and a discussion of what those results mean for trading.

2 shares

04

LongTerm Trading Strategies

Outlines three long‑term trading strategies designed to reduce drawdowns and capture more bull‑market gains.

2 shares

05

Coding Traders

NYT piece on how technology and regulations like Dodd‑Frank have transformed trading on Wall Street.

2 shares

Reddit

Threads from r/quant, r/algotrading and friends.

7 items

Quantitative2

Rising5

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