TradingView provides gross margin data for HengHong Technology Inc. (NASDAQ:HCPC). This is financial indicator information for a US-listed company, with no specific gross margin values, statistical period, or data source details disclosed.
CME Group has released an overview of Ultra 10-Year U.S. Treasury futures. This overview is an introductory material for the relevant futures product, and specific details such as contract specifications and trading rules have not yet been disclosed.
The CFTC proposes to include prediction markets in the definition of "swaps". This development was reported by The Washington Times, with specific rule details and follow-up implementation arrangements not yet disclosed.
Shanxi Securities (002500) announced plans to change its business scope and amend its Articles of Association. The information was published by China Finance Information.
NYSE American Options announced the addition of early and late trading sessions. The news was published by Securities.io, and specific trading session schedules, effective dates, and applicable contract ranges have not yet been disclosed.
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.
Quantpedia analyzes a paper by Josh Molnar published on SSRN, noting that classic Bitcoin cycle signals such as MVRV, Mayer Multiple, and Pi Cycle Top are gradually losing effectiveness as price volatility narrows. The three mature cycle peaks occurred 525, 546, and 534 days after their respective halvings.
CICC released a preview forecast for the Hang Seng Index quarterly review, expecting Zijin Gold International and other companies to be included in the Hang Seng Index blue-chip constituents. The Hang Seng Tech Index is expected to see a significant expansion, with 20 new constituents added.
Quantocracy has compiled the latest quant research-related links as of October 18, 2026, covering topics including trend following, futures continuous contract construction, in-sample to out-of-sample Sharpe ratio decay, the impact of liquidity on stock returns and option pricing, and cryptocurrency cross-sectional trend factors. One study based on 12 commodity futures found that the expected retention ratio of in-sample Sharpe ratios from a 10-year backtest on new data is 30%.
A study of European firms from 2016 to 2022, combining panel regression, machine learning, and explainable AI methods, finds a nonlinear relationship between board gender diversity and emissions performance: emissions performance begins to improve significantly when female director representation reaches a minimum threshold of approximately 22%, and further increases in female representation beyond an optimal level of approximately 35% do not yield additional emissions performance gains.
The CFTC released a proposed rule to further define the inclusion scope of the 'swap' definition and clarify the regulatory boundary of event contracts. This proposal does not further define 'security-based swaps', and the CFTC has sought the opinion of the Board of Governors of the Federal Reserve System on this proposal.
This paper focuses on the impact of hybrid dynamics (rough volatility and infinite variation Lévy processes) on the implied volatility skew and curvature of at-the-money options. By analyzing the leading terms of their short-time expansions, the origin mechanism of the power-law behavior of skew and curvature can be determined from the hybrid dynamics model. The paper confirms that hybrid models also produce power-law relationships, and the relevant conclusions are crucial for model design and calibration. Numerical evidence for the rough Heston model with CGMY Lévy jumps is also provided.
Research shows that large language model pricing agents can deviate from the repeated Bertrand competition benchmark where prices converge to marginal costs in homogeneous goods markets, with their performance depending on deployment decisions. Whether LLM pricing agents can maintain prices above marginal costs in self-play is directly related to deployment choices: whether they set prices period-by-period based directly on raw market history including competitor prices, or periodically output probability distributions based on summaries of their own profit history.
The research team built behavioral models for three types of trading agents—rational arbitrageurs, manipulators, and retail momentum followers—based on reinforcement learning, and conducted a pilot study on hourly cryptocurrency data (AAVE, ETC, SUI). The results show that the behavioral characteristics of different agents have differentiated impacts on market pressure, liquidity, volatility, and risk-adjusted returns. The research conclusions support formulating differentiated regulatory rules for different behavioral types, rather than uniformly restricting volatility or turnover rates.
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.
This study analyzes trade execution under concave power-law impact and Hurst-scaled price fluctuations. It determines the optimal execution horizon by maximizing the Sharpe ratio of realized trading P&L and identifies conditions for an interior optimum. The derived execution schedule can reduce envelope costs by 10-17% compared to a TWAP schedule over the same duration. The results are published on arXiv.
An experiment on a simulated collateralized lending market shows that shared action ordering significantly affects the scale of executed credit for LLM borrowers. The experiment set up 12 ordinary order markets and 12 balanced order markets, using an exact randomization test to obtain a two-sided p-value of 2/8100, with a credit difference of 1.12 units of initial unused reference borrowing capacity between leverage-prioritized and deleveraging-prioritized ordinary order markets. No liquidations or actual bad debts occurred in all 24 markets; under the fixed-price 30% shock benchmark, most write-offs came from collateral consumed by liquidation bonuses.
This study examines the Merton consumption-investment problem under the Itô, Stratonovich, and Hänggi-Klimontovich conventions, corresponding to stochastic integral convention parameter α = 0, 1/2, and 1, respectively. The study finds that if the drift term is transformed synchronously, the optimal investment strategy is unaffected by the choice of convention; if the drift coefficient value is fixed, the investor's opportunity set will change. Under logarithmic utility, consumption decisions are unaffected, but the optimal portfolio weights shift, and the stochastic integral convention cannot be identified using return data alone.
This arXiv paper proposes a NoLBERT encoder pre-trained only on texts from 1976 to 1995, comparing it with LDA, MiniLM, and FinBERT on 1.26 million news articles from 2012 to 2024 to predict returns of the 1000 largest U.S. stocks.
This paper proposes a multivariate state-dependent Hawkes process (SDHP) to model cross-product liquidity dynamics between quarter-hourly and hourly contracts in the Dutch EPEX SPOT continuous intraday market. The model is calibrated using Level 3 order book data from the first month of each quarter in 2024, dividing trading sessions into normal and stress states. The study finds that approximately 95% of orders are driven by their own order flow, with cross-excitation primarily flowing from quarter-hourly contracts to hourly contracts, and this dominance significantly weakens in stress states.
The U.S. Commodity Futures Trading Commission (CFTC) issued an interim final rule to further clarify the 'swap' definition, excluding casino-style gambling products offered under state or tribal law from swap regulatory scope. This rule does not involve matters related to security-based swaps under SEC jurisdiction, and the CFTC has sought the opinion of the Board of Governors of the Federal Reserve System on this rule.
This study proposes a framework for identifying and quantifying arbitrage opportunities between logically related prediction market contracts, demonstrating that arbitrage exists when prices fall outside the convex hull of feasible return vectors, and solving for the optimal arbitrage portfolio via integer programming. The study recovered 1.9 million logical relationships through semantic analysis of platform metadata and settlement rules, constructing a constraint system covering more than 255,000 contracts.
This 16-page paper, accepted by MARBLE 2026, argues that crypto-exchange stock-like perpetual contracts calculate funding rates from the real-time basis and cannot replicate shareholder dividend cash flows for traders entering or exiting at arbitrary times. The authors derive a fair funding-rate identity, convert point-in-time fairness into an optimal stopping condition, and use measure theory to show that predictable dividends are atomic events. Absolutely continuous funding-rate paths cannot replicate this atom over a holding interval and must be matched with discrete event credits.
The paper constructs a three-party theoretical model of trade sanctions involving the sanctioning party, the target party, and a neutral third party, deriving three core conclusions: alliance members typically set different tariffs under Stackelberg timing or imperfect transfer payments; as sanctions tighten, the sanctioning party's welfare may exceed the optimal level under unilateral terms of trade; and when the sanctioning party and the target party compete for the support of a neutral third party, the feasible range of sanctions targets can be clearly defined. The model is applied to a calibrated analysis of sanctions on Russian crude oil, showing that if China and India take unilateral action or the sanctioning alliance offers better terms, the effectiveness of sanctions can increase by approximately 70%.
The CFTC is issuing a notice under the Paperwork Reduction Act (PRA) to seek public comment on the proposed extension of OMB Control Number 3038-0093, which corresponds to information collections under CFTC Regulation Part 40, General Provisions for Registered Entities. The public may submit comments online via Regulations.gov, by mail, or by hand delivery by December 18, 2026, with online submission encouraged. All comments must be submitted in English or accompanied by an English translation. Submissions will be made publicly available directly, so please do not include personal or commercially sensitive information that you do not wish to disclose.
Antonis Ballis and Christos Ioannidis released a working paper on arXiv, using a sample of all 8,970 crypto assets and 690 weekly cross-sections from 2013 to 2026 to directly observe asset entry, exit, and survival, and to test the weak-form efficiency symmetry constraints of the Markov chain for the crypto asset market capitalization distribution.
This paper proposes a generalized variance framework based on the determinant of the instantaneous covariance matrix of asset log returns for pricing multi-asset discrete swaps, which captures the joint discreteness of multivariate asset returns while accounting for their dependence structure. The framework is constructed under Heston and Barndorff-Nielsen-Shephard (BNS) stochastic volatility models, deriving analytical pricing expressions for the three-asset Heston model and tractable approximations for the corresponding BNS model.
More than 50 private fund managers have surpassed 10 billion yuan in scale this year, joining the 10-billion-yuan private fund tier. This statistic covers scale changes in the domestic private fund industry, with related information disclosed by securities sector reports.
The Bank for International Settlements released Working Paper No. 1385, which compares the total costs of three cross-border payment channels: traditional correspondent banking and SWIFT-based bank transfers, fintech remittance operators such as Wise and Remitly, and stablecoin transfers. The study combines intraday fintech pricing, World Bank remittance data, bank transfer transactions, and crypto market data to construct comparable cost indicators across currencies and remittance sizes, distinguishing between foreign exchange markups and explicit fees.
The Bank for International Settlements (BIS) has released a working paper examining the role of Liquidity Coverage Ratio (LCR) regulation for large U.S. banks in driving the growth of private credit markets.
The Bank for International Settlements (BIS) released a research paper assessing the impact of the Iran conflict on inflation in the euro area, the United Kingdom, and the United States. As of May 2026, the conflict is expected to push up inflation in these regions by a combined 1.5 to 2 percentage points in 2026 and 2027, with rising inflation expectations potentially contributing an additional 0.3 to 0.4 percentage points. The scale and duration of this inflation shock are smaller than those of the 2021-2024 inflation crisis, and long-term inflation expectations remain broadly stable.
The Bank for International Settlements (BIS) has released research papers from its 25th Annual Conference, held on June 26, 2026, in Basel, Switzerland, under the theme 'Central Banking and Macro-Financial Stability in a Fragmented World Economy.' Three papers were published as BIS Working Papers 1384, 1385, and 1386, with a fourth to follow as BIS Working Paper 1387.
The Bank for International Settlements (BIS) released Working Paper No. 1386, which proposes an LLM-based reasoning pipeline to identify firms' actions in response to geoeconomic pressure from earnings call transcripts and summarize the underlying logic. Compared with traditional NLP methods, it can extract implicit conditional relationships in the text rather than merely counting keywords.
Zipline Reloaded 3.2.0 is a maintenance release. It supports Python 3.11–3.14, removes support for Python 3.10, and is not yet compatible with Pandas 3 or Python 3.15. The pandas version remains constrained to below 3.0.
Moontower has released this issue, mentioning the Metagame event held at Lighthaven in Berkeley from November 6 to 8. Moontower readers can enjoy a $50 discount on regular tickets. This issue also shares AI-related thoughts, TIPS investment analysis, crude oil market learning resources, and pre-sale information for "How I Invest Volume 2", which will be shipped on October 20.
ST Juewei will officially remove its "special treatment" status on October 20, and will subsequently advance the implementation of interim dividends while lowering the upper limit of the share repurchase price. The relevant matters are important operational and capital operation arrangements recently disclosed by the company.
Implied volatility and the VIX have surged sharply, triggering a significant decline in the stock market. This market update is published by Mott Capital Management.
The Moomoo platform provides intraday prices, real-time quotes and related news for the CBOE Volatility S&P 500 Index (.VIX). This index is a core indicator for observing market volatility, and its data can be used to track changes in market sentiment.