{
"scan_date": "2026-03-27",
"sources_checked": [
"arxiv",
"openalex",
"nber",
"bis",
"ny_fed",
"chicago_fed",
"cboe",
"google_scholar",
"ssrn"
],
"papers_found": 188,
"papers_relevant": 13,
"top_papers": [
{
"title": "The Geometry of Risk: Path-Dependent Regulation and Anticipatory Hedging via the SigSwap",
"authors": "Daniel Bloch",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.24154v1",
"date": "2026-03-25",
"abstract": "This paper introduces a transformative framework for managing path-dependent financial risk by shifting from traditional distribution-centric models to a geometry-based approach. We propose the SigSwap as a new regulatory instrument that allows market participants to decompose complex risk into terminal price law and the underlying texture of the price path. By utilising the mathematical properties of the path-signature, we demonstrate how previously unmodellable risks, such as lead-lag dynamics...",
"relevance_score": 6,
"relevance_tags": [
"order_flow"
],
"key_finding": "This paper introduces a transformative framework for managing path-dependent financial risk by shifting from traditional distribution-centric models to a geometry-based approach.",
"backtestable": false,
"data_we_have": false,
"priority": "MEDIUM"
},
{
"title": "Semi-Static Variance-Optimal Hedging of Covariance Risk in Multi-Asset Derivatives",
"authors": "Konstantinos Chatziandreou, Sven Karbach",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.25320v1",
"date": "2026-03-26",
"abstract": "We develop a semi-static framework for the variance-optimal hedging of multi-asset derivatives exposed to correlation and covariance risk. The approach combines continuous-time dynamic trading in the underlying assets with a static portfolio of auxiliary contingent claims. Using a multivariate Galtchouk--Kunita--Watanabe decomposition, we show that the resulting global mean-variance problem decouples naturally into an inner continuous-time projection onto the space spanned by the underlying asse...",
"relevance_score": 6,
"relevance_tags": [
"gamma"
],
"key_finding": "Extensive numerical experiments demonstrate that incorporating optimally weighted static strips of cross-asset instruments substantially reduces the mean-squared hedging error relative to purely dynam",
"backtestable": true,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Risky Intraday Order Flow and Option Liquidity May 23, 2025 Abstract",
"authors": "Unknown",
"source": "web",
"url": "https://www.bauer.uh.edu/hdoshi/docs/DPS_May_2025.pdf",
"date": "2026-03-27",
"abstract": "SPX options. First, we observe a strong positive relationship between the standard deviation \u00b7 of order \ufb02ow and illiquidity for both call and put samples. Moreover, the coe\ufb03cient is larger \u00b7 for very short-maturity options (up to 24 days), con\ufb01rming that trading costs in shorter- dated contracts are more sensitive to intraday order \ufb02ow volatility.",
"relevance_score": 6,
"relevance_tags": [
"order_flow",
"intraday"
],
"key_finding": "Moreover, the coe\ufb03cient is larger \u00b7 for very short-maturity options (up to 24 days), con\ufb01rming that trading costs in shorter- dated contracts are more sensitive to intraday order \ufb02ow volatility.",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "A market-induced mechanism for stock pinning: Quantitative Finance: Vol 3, No 6",
"authors": "Unknown",
"source": "web",
"url": "https://www.tandfonline.com/doi/abs/10.1088/1469-7688/3/6/301",
"date": "2026-03-27",
"abstract": "We propose a model to describe stock pinning on option expiration dates. We argue that if the open interest on a particular contract is unusually large, delta-hedging in aggregate by floor market...",
"relevance_score": 6,
"relevance_tags": [
"pinning"
],
"key_finding": "We argue that if the open interest on a particular contract is unusually large, delta-hedging in aggregate by floor market...",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "QUANTITATIVE FINANCE VO L U M E 3 (2003) 417\u2013425 RE S E A R C H PA P E R",
"authors": "Unknown",
"source": "web",
"url": "https://www.cis.upenn.edu/~mkearns/finread/PinningPaper.pdf",
"date": "2026-03-27",
"abstract": "We propose a model to describe stock pinning on option expiration dates. We \u00b7 argue that if the open interest on a particular contract is unusually large,",
"relevance_score": 6,
"relevance_tags": [
"pinning"
],
"key_finding": "We \u00b7 argue that if the open interest on a particular contract is unusually large,",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Derivative Spreads: Evidence from SPX Options* Jie Cao\u0084 Kris Jacobs Sai Ke\u00a7",
"authors": "Unknown",
"source": "web",
"url": "https://www.aeaweb.org/conference/2024/program/paper/DFs2GZND",
"date": "2026-03-27",
"abstract": "to deter imbalanced order flows at that time. In contrast, the competing market makers of \u00b7 options can avoid excessive long or short positions. Wei and Zheng (2010) investigate the de- terminants of equity options liquidity, measured by proportional spreads, and find the option \u00b7 return volatility to be a key determinant.",
"relevance_score": 6,
"relevance_tags": [
"order_flow"
],
"key_finding": "Wei and Zheng (2010) investigate the de- terminants of equity options liquidity, measured by proportional spreads, and find the option \u00b7 return volatility to be a key determinant.",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Bridging the Reality Gap in Limit Order Book Simulation",
"authors": "Patrick Noble, Mathieu Rosenbaum, Saad Souilmi",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.24137v1",
"date": "2026-03-25",
"abstract": "We introduce a practical, interactive simulator of the limit order book for large-tick assets, designed to produce realistic execution, costs, and P&L. The book state is projected onto a tractable representation based on spread and volume imbalance, enabling robust estimation from market data. Event timing is calibrated to reproduce the fine-scale temporal structure of real markets, revealing a pronounced mode at exchange round-trip latency consistent with simultaneous reactions and latency race...",
"relevance_score": 5,
"relevance_tags": [
"order_flow"
],
"key_finding": "We present the approach as a practical recipe: project, estimate, validate, adapt, for building realistic limit order book simulations.",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Modeling and Forecasting Tail Risk Spillovers: A Component-Based CAViaR Approach",
"authors": "Demetrio Lacava",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.25217v1",
"date": "2026-03-26",
"abstract": "This paper introduces a new extension of the Conditional Autoregressive Value at Risk (CAViaR) model aimed at improving tail risk forecasting across assets. The proposed component-based model, CAViaR with Spillover Effects (CAViaR-SE), decomposes the conditional Value at Risk into a proper-risk component and a spillover component driven by a linear combination of tail risks from influential assets. These assets are selected via a recursive partial correlation algorithm, allowing multiple spillov...",
"relevance_score": 5,
"relevance_tags": [],
"key_finding": "This paper introduces a new extension of the Conditional Autoregressive Value at Risk (CAViaR) model aimed at improving tail risk forecasting across assets.",
"backtestable": true,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Intraday Jumps and 0DTE Options: Pricing and Hedging Implications ...",
"authors": "Unknown",
"source": "ssrn",
"url": "https://papers.ssrn.com/sol3/Delivery.cfm/5223127.pdf?abstractid=5223127&mirid=1",
"date": "2026-03-27",
"abstract": "This paper investigates how intraday jumps affect the pricing and hedging of 0DTE options on the S&P 500. We develop a continuous-time stochastic volatility model with Poisson jumps and derive semi-closed-form solutions for European option prices, ...",
"relevance_score": 5,
"relevance_tags": [
"0DTE",
"intraday"
],
"key_finding": "This paper investigates how intraday jumps affect the pricing and hedging of 0DTE options on the S&P 500.",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Same-Day Options, Same-Day Alpha? Institutional Lessons from 0DTE\u2019s Boom | Resonanz Capital",
"authors": "Unknown",
"source": "web",
"url": "https://resonanzcapital.com/insights/same-day-options-same-day-alpha-institutional-lessons-from-0-dtes-boom",
"date": "2026-03-27",
"abstract": "Traditional Black-Scholes models, calibrated to daily data, underestimate the frequency and severity of intraday price swings. Risk teams now look to realized volatility distributions measured in five-minute or even one-minute intervals. Back tests are being stress-tested against episodes like the August 2024 CPI release, when the S&P 500 gapped nearly two percent in fifteen minutes. It is no longer enough to model volatility in calendar terms \u2014 you must model it in clock-time. For allocator...",
"relevance_score": 5,
"relevance_tags": [
"0DTE",
"intraday",
"volatility"
],
"key_finding": "For allocators, the rise of 0DTE strategies poses both an opportunity and a challenge.",
"backtestable": true,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "VIX Term Structure | Cboe",
"authors": "Unknown",
"source": "web",
"url": "https://www.cboe.com/tradable-products/vix/term-structure/",
"date": "2026-03-27",
"abstract": "Term Structure and Volatility Indices on the S&P 500\u00ae Index Cboe Options Exchange offers these five gauges of expectations of future volatility based on real-time trading of S&P 500 options: the VIX9D Index (9-day volatility), VIX Index (30-day volatility), VIX3M (3-month volatility), VIX6M Index (6-month volatility), and VIX1Y Index (1-year volatility). The five indices can serve as tools to gain valuable insights on investor sentiment, and on the historical and current term structure r...",
"relevance_score": 5,
"relevance_tags": [
"vix"
],
"key_finding": "Monthly and weekly expirations are available and trade nearly 24 hours a day, five days a week.",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Gamma Squeeze Mechanics: How Dealer Flow Creates Forced-Buying Cascades \u2013 StrikeWatch EA",
"authors": "Unknown",
"source": "web",
"url": "https://www.strike-watch.com/lab/gamma-squeeze-mechanics-dealer-flow",
"date": "2026-03-27",
"abstract": "A focused playbook on gamma squeeze mechanics \u2014 how concentrated call open interest, negative dealer GEX, and a Zero Gamma Level breach combine to create a self-reinforcing forced-buying cascade.",
"relevance_score": 5,
"relevance_tags": [
"gamma"
],
"key_finding": "A focused playbook on gamma squeeze mechanics \u2014 how concentrated call open interest, negative dealer GEX, and a Zero Gamma Level breach combine to create a self-reinforcing forced-buying casca",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Dealer Hedging Mechanics Guide - Gamma",
"authors": "Unknown",
"source": "web",
"url": "https://menthorq.com/guide/dealer-hedging-mechanics/",
"date": "2026-03-27",
"abstract": "You\u2019ll often see this around large expiration days when spot hovers between dense clusters of call and put open interest. Dealer hedging flows become most pronounced, pushing price toward the center or flinging it violently away if gamma flips.",
"relevance_score": 5,
"relevance_tags": [
"gamma",
"dealer_hedging"
],
"key_finding": "Dealer hedging flows become most pronounced, pushing price toward the center or flinging it violently away if gamma flips.",
"backtestable": false,
"data_we_have": true,
"priority": "MEDIUM"
},
{
"title": "Optimal threshold resetting in collective diffusive search",
"authors": "Arup Biswas, Satya N Majumdar, Arnab Pal",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.25338v1",
"date": "2026-03-26",
"abstract": "Stochastic resetting has attracted significant attention in recent years due to its wide-ranging applications across physics, biology, and search processes. In most existing studies, however, resetting events are governed by an external timer and remain decoupled from the system's intrinsic dynamics. In a recent Letter by Biswas et al, we introduced threshold resetting (TR) as an alternative, event-driven optimization strategy for target search problems. Under TR, the entire process is reset whe...",
"relevance_score": 4,
"relevance_tags": [],
"key_finding": "We identify a critical population size $N_c(u)$ below which TR outperforms reset-free dynamics.",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "Environmental CVA with K-Robust Wrong-Way Risk",
"authors": "Takayuki Sakuma",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.23842v1",
"date": "2026-03-25",
"abstract": "Although climate and nature related scenario analysis is increasingly important in finance, there is still no operational framework that translates long horizon environmental scenarios into counterparty credit risk measures for pricing and regulatory capital. We propose an environmental valuation adjustment framework for CVA with three components: (i) a scenario to credit translation that maps environmental scenario drivers into hazard rates; (ii) nature specific tail generators that quantify mo...",
"relevance_score": 4,
"relevance_tags": [],
"key_finding": "We propose an environmental valuation adjustment framework for CVA with three components: (i) a scenario to credit translation that maps environmental scenario drivers into hazard rates; (ii) nature s",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "Robust risk measures: an averaging approach",
"authors": "Marcelo Righi, Rodrigo Targino",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.24349v1",
"date": "2026-03-25",
"abstract": "We develop an averaging approach to robust risk measurement under payoff uncertainty. Instead of taking a worst-case value over an uncertainty neighborhood, we weight nearby payoffs more heavily under a chosen metric and average the baseline risk measure. We prove continuity in the neighborhood radius and provide a stable large-radius behavior. In Banach lattices, the approach leads to a convex risk measure and under separability of the space, a dual representation through a penalty term based o...",
"relevance_score": 4,
"relevance_tags": [],
"key_finding": "Numerical illustrations are conducted to verify calibration and sensitivity.",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "The Ultimate Guide to Gamma Exposure (GEX) | InsiderFinance",
"authors": "Unknown",
"source": "web",
"url": "https://www.insiderfinance.io/resources/the-ultimate-guide-to-gamma-exposure-gex",
"date": "2026-03-27",
"abstract": "Learn what gamma exposure (GEX) is, how positive vs. negative gamma affects price action, what the gamma flip means, why 0DTE matters, and how to analyze GEX.",
"relevance_score": 4,
"relevance_tags": [
"0DTE",
"gamma"
],
"key_finding": "negative gamma affects price action, what the gamma flip means, why 0DTE matters, and how to analyze GEX.",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "Weekly Options on Stock Pinning",
"authors": "Unknown",
"source": "web",
"url": "https://www.wpunj.edu/Weekly%20Options%20on%20Stock%20Pinning%20upto%20page%208.pdf",
"date": "2026-03-27",
"abstract": "To investigate the possible reasons for stock pinning, we obtain several additional option \u00b7 variables. In particular, we obtain the trading volume of the at-the-money calls and puts on \u00b7 expiration day (VolExp) and the open interest of the at-the-money calls and puts on the day before",
"relevance_score": 4,
"relevance_tags": [
"pinning"
],
"key_finding": "In particular, we obtain the trading volume of the at-the-money calls and puts on \u00b7 expiration day (VolExp) and the open interest of the at-the-money calls and puts on the day before",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "CME Group Equity Index Options \u2013 A Quick Look at the Current State of Play - CME Group",
"authors": "Unknown",
"source": "web",
"url": "https://www.cmegroup.com/articles/2025/equity-index-options-state-of-play.html",
"date": "2026-03-27",
"abstract": "[3] For order risk mitigation methodology available for market makers on CME Globex, please see CME Group Mass Quote Protections. [4] For more information on pre-hedging of option block trades, please see Question 13 listed on the CME Group Market Regulation Advisory Notice (MRAN) [5] To adjust for homogenized contract value factors, the CME Group positions have been scaled up by a factor of 2 as the ES contract represents $50 x S&P 500 Index, while SPX represents $100 x S&P 500 Index.",
"relevance_score": 4,
"relevance_tags": [],
"key_finding": "[4] For more information on pre-hedging of option block trades, please see Question 13 listed on the CME Group Market Regulation Advisory Notice (MRAN) [5] To adjust for homogenized contract value fac",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "What Is Gamma Exposure? An In-Depth Analysis for Traders - Cheddar Flow",
"authors": "Unknown",
"source": "web",
"url": "https://www.cheddarflow.com/blog/what-is-gamma-exposure-an-in-depth-analysis-for-traders/",
"date": "2026-03-27",
"abstract": "Understanding where dealers are forced to hedge due to their gamma exposure lets you anticipate where the market may stabilize, reverse, or accelerate. These aren\u2019t random intraday moves, they\u2019re structural forces shaping price behavior. Heavily traded, high-volatility stocks can experience \u201cgamma squeezes\u201d if traders buy large amounts of at-the-money (or slightly out-of-the-money) call options.",
"relevance_score": 4,
"relevance_tags": [
"gamma",
"intraday"
],
"key_finding": "Heavily traded, high-volatility stocks can experience \u201cgamma squeezes\u201d if traders buy large amounts of at-the-money (or slightly out-of-the-money) call options.",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "Gamma Squeeze Explained Guide - MenthorQ",
"authors": "Unknown",
"source": "web",
"url": "https://menthorq.com/guide/gamma-squeeze-explained/",
"date": "2026-03-27",
"abstract": "If the market moves toward a gamma-neutral zone, dealers may flip from short gamma to long gamma. If the market crosses resistance zones loaded with short gamma, the hedging response may turn into a buying cascade. This flow is entirely mechanical\u2014it\u2019s not about investors becoming bullish, but about how dealers must respond to price and volatility changes to stay hedged.",
"relevance_score": 4,
"relevance_tags": [],
"key_finding": "This flow is entirely mechanical\u2014it\u2019s not about investors becoming bullish, but about how dealers must respond to price and volatility changes to stay hedged.",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "How to Spot Buying Opportunities in Options Order Flow | Nasdaq",
"authors": "Unknown",
"source": "web",
"url": "https://www.nasdaq.com/articles/how-to-spot-buying-opportunities-in-options-order-flow",
"date": "2026-03-27",
"abstract": "In summary, to identify buying ... to analyze the trade side distribution data, the relationship between volume and open interest (both intraday and historically), and how the price and implied volatility have shifted...",
"relevance_score": 4,
"relevance_tags": [
"order_flow",
"options_microstructure",
"intraday",
"volatility"
],
"key_finding": "to analyze the trade side distribution data, the relationship between volume and open interest (both intraday and historically), and how the price and implied volatility have shifted.",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "Methods to My Madness \u2013 Trading Options Flow | Options Hawk",
"authors": "Unknown",
"source": "web",
"url": "https://optionshawk.com/project/methods-to-my-madness-trading-options-flow/",
"date": "2026-03-27",
"abstract": "Furthermore, the other side of the trade is often a market-maker who will be on the other side of the options trade, but hedge off Delta-risk in the underlying stock, and therefore is not taking on directional exposure, but the Institution is in fact making a directional call. Does it pay to always following the large options order flow? No, there is not a sure-fire way to make a profit every time, but over time I have proven that it is a very effective method of catching large moves very early ...",
"relevance_score": 4,
"relevance_tags": [
"order_flow",
"options_microstructure",
"intraday"
],
"key_finding": "No, there is not a sure-fire way to make a profit every time, but over time I have proven that it is a very effective method of catching large moves very early on, and it also depends on your planned ",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks",
"authors": "Chung-Hoo Poon, James Kwok, Calvin Chow, Jang-Hyeon Choi",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.23584v1",
"date": "2026-03-24",
"abstract": "Anti-money laundering (AML) systems are important for protecting the global economy. However, conventional rule-based methods rely on domain knowledge, leading to suboptimal accuracy and a lack of scalability. Graph neural networks (GNNs) for digraphs (directed graphs) can be applied to transaction graphs and capture suspicious transactions or accounts. However, most spectral GNNs do not naturally support multi-dimensional edge features, lack interpretability due to edge modifications, and have ...",
"relevance_score": 3,
"relevance_tags": [
"ml_trading"
],
"key_finding": "We also discuss scalability, adversarial robustness, and regulatory considerations of our proposed method.",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "Shifting Correlations: How Trade Policy Uncertainty Alters stock-T bill Relationships",
"authors": "Demetrio Lacava",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.25285v1",
"date": "2026-03-26",
"abstract": "This paper examines how trade policy uncertainty influences the correlation between U.S. stock indices and short-term government bonds. The objective is to assess whether policy-related shocks, especially those linked to trade tensions, alter the traditional stock-T bill relationship and its implications for investors. We extend the Dynamic Conditional Correlation (DCC) framework by incorporating exogenous variables to account for external shocks. Three specifications are analyzed: one using the...",
"relevance_score": 3,
"relevance_tags": [],
"key_finding": "This paper examines how trade policy uncertainty influences the correlation between U.S.",
"backtestable": true,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "Ordering results for extreme claim amounts based on random number of claims",
"authors": "Sangita Das",
"source": "arxiv",
"url": "https://arxiv.org/abs/2603.24640v1",
"date": "2026-03-25",
"abstract": "Consider two sequences of heterogeneous and independent portfolios of risks $T_1,T_2,\\ldots$ and $T^*_{1}, T^*_{2},\\ldots$ and, let $N_1$ and $N_2$ be two positive integer-valued random variables, independent of $T_i'$ and $T^*_i$, respectively. In this article, we investigate different stochastic inequalities involving $\\min\\{T_1,\\ldots,T_{N_1}\\}$ and $\\min\\{T^*_1,\\ldots,T^*_{N_2}\\},$ and $\\max\\{T_1,\\ldots,T_{N_1}\\}$ and $\\max\\{T^*_1,\\ldots,T^*_{N_2}\\}$ in the sense of usual stochastic order an...",
"relevance_score": 3,
"relevance_tags": [],
"key_finding": "Finally, some interesting applications of our results in reliability theory and auction theory are presented.",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "Integrated Supply Chain\u2013Finance Optimization Using Mixed Integer Programming: A Comprehensive Analysis",
"authors": "Samuel Oladapo Taiwo",
"source": "journal",
"url": "https://doi.org/10.32628/ijsrst25126503",
"date": "2025-12-31",
"abstract": "This study develops an integrated Mixed Integer Programming (MIP) framework for simultaneous optimization of supply chain design and financial performance. Unlike traditional models that decouple operational and financial decision-making, the proposed Integrated Supply Chain\u2013Finance Optimization (ISFO) framework embeds Net Present Value (NPV), working capital constraints, and financial risk measures directly into strategic and tactical supply chain optimization. A multi-objective formulation ena...",
"relevance_score": 3,
"relevance_tags": [
"order_flow"
],
"key_finding": "The study contributes a unified modeling architecture that enhances cross-functional integration between operations and finance, offering both theoretical advancement and practical decision-support re",
"backtestable": false,
"data_we_have": false,
"priority": "LOW"
},
{
"title": "AI-Driven Asset Management with Behavioral Profiling: A Dual-Strategy Prototype",
"authors": "Abhijeet More",
"source": "journal",
"url": "https://doi.org/10.36948/ijfmr.2026.v08i01.66176",
"date": "2026-01-11",
"abstract": "Conventional portfolio strategies often over-rely on static risk measures or neglect the behavioral tendencies of both clients and markets. While AI-driven systems already exist, their role in strategy allocation remains limited, particularly when psychological dynamics and risk capacity are not explicitly integrated. This paper addresses that gap by introducing a dual-strategy asset management prototype designed to adapt allocations dynamically to client profiles and evolving market conditions....",
"relevance_score": 3,
"relevance_tags": [
"order_flow"
],
"key_finding": "This paper addresses that gap by introducing a dual-strategy asset management prototype designed to adapt allocations dynamically to client profiles and evolving market conditions.",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "Introducing: Taker-Flow-Based Gamma Exposure",
"authors": "Unknown",
"source": "web",
"url": "https://insights.glassnode.com/gamma-exposure/",
"date": "2026-03-27",
"abstract": "Market makers, who typically maintain delta-neutral positions, must continuously hedge their gamma exposure by buying or selling futures or spot to offset the delta of the options they\u2019ve sold or bought. When price moves, option deltas change (that is gamma), forcing dealers to rebalance. These rebalancing flows create structural feedback loops in the market and are a source of some of the most significant mechanically driven flows observed in the equity markets.",
"relevance_score": 3,
"relevance_tags": [
"gamma"
],
"key_finding": "These rebalancing flows create structural feedback loops in the market and are a source of some of the most significant mechanically driven flows observed in the equity markets.",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
},
{
"title": "Gamma Exposure for Options Traders",
"authors": "Unknown",
"source": "web",
"url": "https://optionalpha.com/podcast/gamma-exposure-for-options-traders-interview-w-lex-from-tradier",
"date": "2026-03-27",
"abstract": "To illustrate gamma in action, Kirk and Lex analyze TLT as an example of a less liquid market compared to SPX or AAPL. Lex identifies mixed gamma levels around a potential inflection point and explains how a market maker\u2019s hedging needs can amplify moves in either direction.",
"relevance_score": 3,
"relevance_tags": [
"gamma"
],
"key_finding": "Lex identifies mixed gamma levels around a potential inflection point and explains how a market maker\u2019s hedging needs can amplify moves in either direction.",
"backtestable": false,
"data_we_have": true,
"priority": "LOW"
}
]
}