ML-QuantIssue No. 138
Every Friday we screen every new arXiv, SSRN and RePEc paper, rank the best 30 per venue, pull each paper's key figure, and track what happens to it afterwards. Free for people. Open to agents.
From issue No. 138. All 90 papers →
A pre-registered blinded test finds that language-model readings of company news lose their predictive power in real time and that commercial models identify masked companies in two-thirds of cases.
The study estimates maximum Sharpe ratios in large cross-sections without constructing the efficient portfolio, finding annualized maximal Sharpe of 7.4 in U.S. equities versus benchmark estimates of 1.0 to 4.0.
Following AI adoption, financial analysts revise high-ESG forecasts upward and become more bullish, but forecast accuracy deteriorates and errors rise for top-ESG firms.
Topics drawing unusually many papers this week.
2.0% of this week's 441 new papers, 2.6x its share over the previous 6 weeks (0.8%).
2.0% of this week's 441 new papers, 1.8x its share over the previous 6 weeks (1.1%).
4.8% of this week's 441 new papers, 1.4x its share over the previous 6 weeks (3.3%).
What the quant community starred on GitHub this week, from a panel of 10,589 developers who follow financial machine learning (290 of the 858 we checked starred something). Counts only: we never publish who starred what.
Claude skills for day trading with backtesting and timing.
★ 5,704+2,004 this weekPythonNew repo
Real-time event intelligence and fraud detection for finance.
★ 231+233 this weekTypeScriptNew repo
QuantJourney backtester for testing trading strategies.
★ 597+426 this weekPython
QuantLib models with hidden Markov regime switching.
★ 11+3 this weekPythonNew repo
Local-first investment research system with 18 investor personas.
★ 681+32 this weekPython
Finance terminal for Bloomberg-style market data tracking.
★ 2,654+70 this weekTypeScript
Foundation model for the language of financial markets.
★ 47.0k+2,827 this weekPython
Multi-agent LLM framework for financial trading.
★ 121k+2,276 this weekPython
Framework for building semantic graph-based reasoning layers over data.
★ 8,496+7,839 this weekPython
CLI for AI agents to use computers.
★ 17.8k+15.2k this weekRust
Towards a more autonomous agent system.
★ 20.1k+20.1k this weekTypeScriptNew repo
Understand how any software works and craft your own.
★ 17.0k+17.0k this weekRustNew repo
Open-source bot with virtual machine for agent use.
★ 14.6k+5,650 this weekTypeScriptNew repo
AWS local emulator alternative.
★ 30.7k+3,363 this weekJava
Every featured paper is tracked on Semantic Scholar. Of the finance papers we featured when new, 26% are now in journals.
Featured 14 Jun 2023, 5 days after release
Featured 29 Nov 2023, 6 days after release · IEEE Transactions on Big Data
Featured 15 Aug 2024, 6 days after release · Proceedings of the 5th ACM International Conference on AI in Finance
Featured 1 Jan 2025, 4 days after release
Featured 15 May 2024, 3 days after release
Featured 28 Jun 2023, 6 days after release
Papers featured per quarter since May 2023.
Crypto assets, DeFi, stablecoins and blockchain markets.
322 papers
Large language models, agents, sentiment and text as data in finance.
600 papers
Option pricing, volatility models and forecasting, hedging and implied surfaces.
917 papers
Order books, market making, execution, high-frequency data and trading signals.
616 papers
Portfolio construction, allocation, rebalancing and risk budgeting, from Markowitz to deep RL.
659 papers
Credit risk, default prediction, banking, systemic risk and risk measures.
422 papers
Factor models, anomalies, the cross-section of returns and what survives publication.
312 papers
Rates, the yield curve, monetary policy, inflation and macro-finance.
317 papers
Forecasting, time series, econometrics and nowcasting.
354 papers
Machine-learning methods applied to finance: deep learning, boosting, RL and new architectures.
1,181 papers
Firms, governance, IPOs, M&A and corporate decisions.
170 papers
138 issues since May 2023.
Week 1
This week spotlights credibility gaps in quantitative finance: LLMs lose predictive power in live trading despite strong backtests, knowledge cutoffs and future-look bias inflate strategy alphas, and reproducibility remains fragile. Standouts: LLM Stock-News Signals Under Scrutiny, LLM Knowledge Cutoffs and Backtests,…
90 papers · arXiv 30 · SSRN 30 · RePEc 30
Week 5
This week centers on AI agent fragility in financial markets, real-time benchmark design preventing memorization, and cryptographic signals predicting equities. AI Equity Research Without Future Data reveals forecast accuracy well below overall performance; Fragility Of Synchronized Agentic Wealth Management quantifie…
90 papers · arXiv 30 · SSRN 30 · RePEc 30
Week 4
This week spans AI risk in trading, neural microstructure learning, and the frontier's limits. Key tensions emerge: LLM traders fall to information attacks while benchmarks show no leading model beats equal-weight; neural filters cut arbitrage uncertainty eightfold yet ML VaR models hide regime-shift failures. Mean-fi…
90 papers · arXiv 30 · SSRN 30 · RePEc 30
Week 3
This week pivots toward machine learning in discovery and execution. Foundation models learn market regimes from order flow; genetic programming and RL agents discover alpha factors across assets and frequencies. But a survey of 47 LLM trading systems finds reported margins vanish on retest, and a massive pre-register…
90 papers · arXiv 30 · SSRN 30 · RePEc 30
Week 2
This week centers on AI systemic risk, factor discovery limits, and monetary transmission channels. Agentic AI systems create non-diversifiable contagion floors despite fleet size; automated factor mining shows no paradigm dominates; and Fed policy transmits primarily through risk appetite shifts rather than rates. Se…
90 papers · arXiv 30 · SSRN 30 · RePEc 30
Week 1
This week centers on AI's expanding role in trading and markets, alongside persistent microstructure patterns and monetary policy transmission. Key papers: "AI Trading Methods: Backtests Versus Real Markets" measures the live-market gap for machine learning and LLM strategies; "Certified Alpha Capacity and Decay" deri…
90 papers · arXiv 30 · SSRN 30 · RePEc 30
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The week's best arXiv, SSRN and RePEc papers, each in one sentence, with its key figure. Plus what quant developers are starring on GitHub and which of our past picks just got published.