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#US Stocks
20 OctTue
  1. SEC: Press Release36

    SEC Signs Regulatory Cooperation MOU with France's AMF to Strengthen Cross-Border Oversight of Investment Advisers and Investment Service Providers

    The U.S. Securities and Exchange Commission (SEC) and France's Autorité des marchés financiers (AMF) announced on October 20, 2026, the signing of a Memorandum of Understanding (MOU) on regulatory cooperation, establishing a framework for cross-border regulatory consultation, collaboration, and information sharing. The MOU covers investment advisers, investment companies, and investment service providers operating in both the U.S. and France and regulated by either authority. It will facilitate AMF-regulated asset management firms conducting business in the U.S. as investment advisers, with the SEC processing new and pending registration applications from relevant firms under this arrangement.

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  2. Alpha Architect55

    Deconstructing Stock Price Bubbles: Combining Fundamentals and Speculative Factors — Insights from New Research by Andreasen and Bro

    Alpha Architect interprets a 2026 paper by Andreasen and Bro published in the Review of Finance. The study combines traditional valuation data with investor expectation surveys to propose a new method for distinguishing between fundamental-driven price increases and speculative bubbles.

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  3. arXiv q-fin58

    Buy the Rumor, Sell the News: When News Gets Priced In

    Based on 4.57 million news articles covering approximately 3,000 US stocks from 2023 to 2026, the paper uses a compact classifier distilled from a large model teacher to label news with 17 event categories and 5 attributes, clustering them into 1.68 million stock-day events, of which 364,405 are neutral sentiment events serving as a placebo.

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  4. arXiv q-fin53

    A Study Based on a Sample of U.S. Stocks from 1999 to 2024: Disagreement and Compliance Classification Dynamics Across Different Islamic Finance Screening Rules

    This arXiv paper applies 7 sets of Islamic finance screening rules to a sample of 1.34 million monthly observations of U.S. securities from 1999 to 2024, and backtests and compares them on a unified threshold-anchored scale. The results show that the disagreement across the sets of rules reaches 35.9% across all compliant industry observations, and the disagreement in financial ratio screening alone reaches 47.3%. Under AAOIFI's market value denominator rule, changes in market value alone are sufficient to explain 65.6% of non-compliance events, and half of the denominator-driven non-compliances reverse within 3 months.

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  5. arXiv q-fin46

    Probabilistic Order Book Forecasting with Conditional Diffusion Models

    This study introduces LOBGrad, a conditional DDPM framework for probabilistic order book forecasting. The framework combines an autoregressive RNN encoder with a diffusion-based generator, and establishes an excess-risk oracle inequality for the single-step DDPM noise prediction objective under exponential mixing and regularity assumptions.

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  6. arXiv q-fin52

    RegimeRank: An Interpretable Regime-Aware Ranking Model for Industry Rotation

    The paper proposes RegimeRank, an interpretable industry ranking model that frames industry rotation decisions as a task of ranking industry actions by future risk-adjusted active returns, using the forward-looking industry benchmark Sharpe ratio as the measurement metric. The model represents fundamental and technical signals through expert-defined time-series features, uses cross-attention to condition on learned macro factors, then models cross-industry dependencies through self-attention, while using expected gradient attribution to identify the contribution of individual signal-transformation pairs.

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  7. arXiv q-fin63

    arXiv Paper: Diagnosing the Incremental Information of Reddit WSB Post Embeddings for Volatility Prediction

    This 9-page paper accepted by ICAIF '26 proposes a diagnostic protocol to examine the true source of incremental information from LLM embeddings of r/WallStreetBets posts for volatility prediction. The study covers panel data of 202,145 mentioned stock-days from 2015 to 2022, using a retrospective rolling out-of-sample test.

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19 OctMon
  1. CFA Institute Research and Policy Center: Publications54

    A veteran former fund manager used AI to test his lifelong investment strategy

    A former equity strategy partner and independent investment firm operator used AI in retirement to backtest his long-standing personal strategy, which combined Peter Lynch's growth stock selection, Hilary Kramer's undervalued obscure stock selection, and earnings revision discipline. He corrected for survivorship bias, used point-in-time data, calculated pre-fee returns, and compared it against random stock selection from the same investment pool. The results showed that the strategy did not outperform random selection, with ordinary index funds performing better than the strategy.

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  2. arXiv q-fin44

    OrderFlowDiT: A Transport-Regularized Diffusion Transformer for Probabilistic Limit Order Supply Prediction

    Researchers propose OrderFlowDiT, a conditional diffusion Transformer trained with an unbalanced optimal transport (UOT) auxiliary loss, to predict the conditional distribution of limit order submissions over the next five minutes. Across 1,950 validation conditions covering 30 U.S. stocks, adding UOT reduces the full-field transport cost by 45.8% and the transport energy score by 26.1% compared with training using only mean squared error, with improvements in both metrics for every stock.

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18 OctSun
17 OctSat
16 OctFri
14 OctWed
  1. CFA Institute Research and Policy Center: Publications66

    CFA Institute Research: Actual Exposure of Joint Ventures at 50 Large Listed Companies Reaches $612 Billion, Far Exceeding the $351 Billion Disclosed on the Books

    The CFA Institute research team reviewed the 2025 fiscal year financial reports of 50 large global listed companies, finding that their book-disclosed investments in joint ventures totaled $351 billion, while total actual exposure reached $612 billion after reconstructing five layers of exposure. The difference stems from risks not recorded in individual line items, including shareholder loans, guarantees, and unpaid capital contributions.

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12 OctMon
  1. HKEX: Press Releases30

    HKEX and S&P Dow Jones Indices Launch S&P 500 and HKEX Tech 100 Index

    HKEX and S&P Dow Jones Indices (S&P DJI) have partnered to launch the S&P 500 and HKEX Tech 100 Index, which was officially released on September 30, 2026. Approximately 60% of the index's weight is allocated to the HKEX Tech 100 Index and 40% to the S&P 500 Index, with quarterly rebalancing, aiming to measure the performance of leading US listed companies and large Hong Kong-listed technology companies. The index is designed to support the inclusion of ETFs tracking it in the Southbound Stock Connect, enabling investors to achieve cross-market allocation through a single benchmark. Further details are available on the index information page of HKEX's official website.

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11 OctSun
  1. Quantocracy24

    Quantocracy's Latest Quantitative Research Link Roundup as of October 10, 2026

    Quantocracy has released its latest roundup of quantitative research links as of October 10, 2026, featuring four related research pieces. It notes that the 30-year U.S. Treasury yield closed at 5.60% in the first week of October, the highest level since 2002; the remaining content covers research discussions on momentum portfolio development, pre-market patterns, and market stop-loss hunting.

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9 OctFri
  1. CFA Institute Research and Policy Center: Publications47

    401(k) Investment Menu Costs Decline While Quality Improves

    Analysis of 401(k) plan filings from 2013 to 2023 by the CFA Institute Research and Policy Center shows that the average expense ratio of 401(k) investment menus fell from 0.69% to 0.39%, with declines in both active and index fund fees, and the fee gap between small and large plans has essentially closed. Fund quality also improved over the same period, with the weighted average of Morningstar Medalist ratings rising from 3.45 to 3.85, and lower-cost funds often receiving higher ratings.

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  2. Aswath Damodaran：Musings on Markets51

    Damodaran: AI Capital Expenditure Effects Emerge, US Stocks Remain Supported Despite Rising Treasury Yields in September

    New York University Professor Aswath Damodaran reviewed the performance of US stocks in September 2026: the 10-year US Treasury yield rose from 4.75% to 5.29% during the month, an increase of 54 basis points, placing it in the top 10% of 770 monthly changes since 1962. Despite this, the total market capitalization of US stocks still increased by $2.5 trillion during the month, with nearly $1.5 trillion of that increase coming from the technology sector.

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8 OctThu
  1. Quantocracy31

    Quantocracy's Latest Quantitative Research Link Roundup as of October 7, 2026

    Quantocracy has compiled the latest quantitative research-related links as of October 7, 2026, covering an interview with Kris Longmore of Robot Wealth, analysis of multi-asset drift effects around the US election, interpretation of market reactions following earnings releases, and a backtest of the "boiling frog" momentum strategy for the S&P 500 index. Readers can visit Quant Mashup to view the latest link content.

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7 OctWed
  2. Moontower58

    How to Express a Specific View Using Vertical Spreads: A Practical Review of an Options Trade Around Nike’s Earnings

    In a trading lab at the Robinhood Summit, the author used Nike’s (NKE) after-hours earnings release on October 1, 2025, as a backdrop to demonstrate how to express a specific directional view using vertical spreads. At the time, NKE traded around $36, and the $36 straddle implied an expected move of about $3 (8%). The author chose to buy the 38.5/39 call vertical for a premium of $0.12, which would pay $0.50 if the stock closed above $39 at expiration, for a risk-reward ratio of roughly 3:1.

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6 OctTue
  1. vn.py：GitHub Releases43

    vn.py 4.5.0 Released

    vn.py version 4.5.0 has been released. This update includes feature adjustments, performance optimizations, and fixes for multiple issues. Key changes include: vnpy_ctabacktester backtest configurations are now saved grouped by strategy name; vnpy.alpha has been refactored for factor and signal performance analysis with a new vwap matching mode; vnpy_polygon has been renamed to vnpy_massive; and several trading interfaces have updated API versions. The update also fixes issues related to UI sorting, cross-contract indicator calculation, market data processing, and connection timeouts.

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5 OctMon
  1. Quantpedia62

    A century of meme stock research: identifying speculative characteristics using market data, with a weekly portfolio achieving a five-factor plus momentum alpha of 11.5% annualized

    The SSRN paper "A Century of Meme Stocks and the Price of Coordination" proposes training machine learning models using market and company data to identify meme stocks, extending the traceable "memeness" indicator back to 1926.

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4 OctSun
  1. Quantocracy32

    Quantocracy Latest Quantitative Research Link Roundup for October 3, 2026

    Quantocracy compiled recent links related to quantitative research on October 3, 2026, covering five topics: a backtest of Warren Buffett's contrarian investment advice, the performance of a Nasdaq-100 polynomial regression band strategy, the causes of the asset growth anomaly, a test of the U.S. stock turn-of-the-month effect, and a method for calculating transaction costs in macro trading strategies.

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3 OctSat
  1. Quantocracy35

    Quantocracy Latest Quantitative Research Link Roundup as of October 2, 2026

    Quantocracy has compiled the latest links related to quantitative research as of October 2, 2026, covering a range of quantitative research topics. These include 897,000 tests conducted on approximately 150 types of trading patterns, an analysis of the impact of 13 oil price surges on U.S. stocks since 1970, a study of asset performance during periods of rising bond yields from 1963 to 2026, and research on an attention factor based on the WallStreetBets herding effect and BERT sentiment.

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2 OctFri
28 SeptMon
  1. AQR: Research50

    AQR: Common Misconceptions About Tax-Aware Long-Short Investing (Part 2) — The Misleading Analogy to Direct Indexing

    AQR has published the second installment of its research series on tax-aware long-short (TA LS) investing, clarifying two misconceptions arising from analogies to direct indexing. First, the tax benefits of TA LS come primarily from deferred capital gains rather than active loss harvesting: its loss realization pace is similar to ordinary tax-insensitive strategies, and tax-aware optimization is mainly used to avoid selling positions with existing unrealized gains, especially short-term gains.

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17 SeptThu
  1. English translation is being prepared.44

    futu-api 10.11.7108 Released

    futu-api 10.11.7108 has been published on PyPI, supporting Python 2.7 and Python 3.x. It can be installed via pip install futu-api. This open-source project provides market data and trading interfaces in Python and Json/Protobuf protocols. Before running, users must start the FutuOpenD gateway client. The installation package includes sample strategy files for reference and learning.

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16 SeptWed
11 SeptFri
  1. Aswath Damodaran：Musings on Markets60

    Damodaran: Re-examining the Relationship Between Rising Interest Rates and Stock Prices in 2026

    NYU Professor Aswath Damodaran reviews the backdrop of rising U.S. Treasury yields in 2026, noting that the 10-year Treasury yield rose from 4.18% at the start of the year to 4.75% by the end of August, while 20-year and 30-year Treasury yields surpassed 5% during the year. He also compares the long-term trend of U.S. Treasury yields since 1962, as well as concurrent changes in government bond yields across multiple currencies, including the euro, Japanese yen, and British pound.

    Key Takeaways:One can learn to construct an intrinsic risk-free rate using the inflation rate plus real GDP growth, and combine it with changes in corporate cash flows to break down the differentiated impact of rising interest rates on stock valuations across industries.

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3 SeptThu
  1. Aswath Damodaran：Musings on Markets60

    Aswath Damodaran analyzes the tradeoff between expansion and profitability: the weakest link in venture capital

    Aswath Damodaran, a professor at NYU Stern School of Business, writes that the current venture capital industry generally prioritizes corporate expansion over profitability, a tendency that has become more pronounced over the past two decades. He breaks down six core factors influencing a company's expansion potential, including market size, market growth rate, industry structure, capital intensity, customer inertia, and dependence on key individuals. He also identifies the key variables determining a company's profitability feasibility as unit economics, economies of scale, and competitive barriers.

    Key Takeaways:You can master an analytical framework that distinguishes between a company's expansion potential and profitability feasibility, using market size, unit economics, economies of scale, and competitive barriers to judge whether a startup's expansion choices are reasonable.

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2 SeptWed
  1. EDGAR 13F：Citadel Advisors17

    Citadel Advisors Files 13F-HR/A Quarterly Holdings Amendment

    Citadel Advisors filed a 13F-HR/A quarterly holdings amendment on 2026-09-02, for the reporting period ending 2026-06-30. The filing was received by the SEC on 2026-09-01 at 18:14:00. The report consists of a main document and an information table of holdings, with the filer's office and mailing address both listed as 830 Brickell Plaza, Miami.

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21 AugFri
  1. Aswath Damodaran：Musings on Markets59

    AI's Coming-of-Age Moment: From Hype and Vision to Business Questions

    NYU valuation professor Aswath Damodaran published a lengthy article proposing a four-stage framework for revolutionary change, arguing that AI is currently entering its coming-of-age phase, shifting from investment and infrastructure building to commercial implementation. The article notes that since the release of ChatGPT in November 2022, the Mag Seven contributed 45% of the total increase in U.S. stock market capitalization from 2022 to 2025. Six leading AI companies have cumulatively spent $1.7 trillion in capital expenditures, while the current upper bound of total revenue from AI products and services is only about $250 billion.

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15 AugSat
  3. EDGAR 13F: Bridgewater17

    Bridgewater Files 13F-HR Quarterly Holdings Report

    Bridgewater Associates submitted a 13F-HR quarterly holdings report to the SEC on 2026-08-14, covering the period ending 2026-06-30. The filing was received by the SEC at 16:08:20 on the same day. This submission includes the main document and holdings information table. The complete submission text file is numbered 0001350694-26-000003.txt. Bridgewater's registered address is located in Westport, Connecticut.

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