{
  "scan_date": "2026-03-26",
  "sources_checked": [
    "arxiv",
    "openalex",
    "nber",
    "bis",
    "ny_fed",
    "chicago_fed",
    "cboe",
    "google_scholar",
    "ssrn"
  ],
  "papers_found": 163,
  "papers_relevant": 11,
  "top_papers": [
    {
      "title": "Institutional Footprint Detection in Retail Options Markets: Stop-Hunt Prediction, Manipulation Pattern Recognition, and Smart Money Flow Classification",
      "authors": "Anil Kumar Sharma",
      "source": "journal",
      "url": "https://doi.org/10.5281/zenodo.19213555",
      "date": "2026-03-25",
      "abstract": "India's National Stock Exchange (NSE) has become the world's largest derivatives exchange by contract volume, with Nifty50 options trading attracting over 95% retail participation by headcount. This structural imbalance creates systematic conditions for institutional exploitation of retail stop-loss clusters, predictable entry patterns, and naive directional bias. We present a unified analytics framework \u2014 developed within the Vyomo options analytics platform \u2014 comprising six novel components: (...",
      "relevance_score": 6,
      "relevance_tags": [
        "gamma",
        "order_flow"
      ],
      "key_finding": "This paper constitutes a defensive publication establishing prior art for all described methods.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "Institutional Footprint Detection in Retail Options Markets: Stop-Hunt Prediction, Manipulation Pattern Recognition, and Smart Money Flow Classification",
      "authors": "Anil Kumar Sharma",
      "source": "journal",
      "url": "https://doi.org/10.5281/zenodo.19213554",
      "date": "2026-03-25",
      "abstract": "India's National Stock Exchange (NSE) has become the world's largest derivatives exchange by contract volume, with Nifty50 options trading attracting over 95% retail participation by headcount. This structural imbalance creates systematic conditions for institutional exploitation of retail stop-loss clusters, predictable entry patterns, and naive directional bias. We present a unified analytics framework \u2014 developed within the Vyomo options analytics platform \u2014 comprising six novel components: (...",
      "relevance_score": 6,
      "relevance_tags": [
        "gamma",
        "order_flow"
      ],
      "key_finding": "This paper constitutes a defensive publication establishing prior art for all described methods.",
      "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": "2026-03-26",
      "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": "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": "2026-03-26",
      "abstract": "<strong>We propose a model to describe stock pinning on option expiration dates</strong>. 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": "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": "2026-03-26",
      "abstract": "<strong>We propose a model to describe stock pinning on option expiration dates</strong>. 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": "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": "2026-03-26",
      "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": "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": "2026-03-26",
      "abstract": "This paper <strong>investigates how intraday jumps affect the pricing and hedging of 0DTE options on the S&amp;P 500</strong>. 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 <strong>investigates how intraday jumps affect the pricing and hedging of 0DTE options on the S&amp;P 500</strong>.",
      "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": "2026-03-26",
      "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&amp;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": "2026-03-26",
      "abstract": "Term Structure and Volatility Indices on the S&amp;P 500\u00ae Index Cboe Options Exchange offers these five gauges of expectations of future volatility based on real-time trading of S&amp;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": "2026-03-26",
      "abstract": "<strong>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</strong>.",
      "relevance_score": 5,
      "relevance_tags": [
        "gamma"
      ],
      "key_finding": "<strong>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": "2026-03-26",
      "abstract": "You\u2019ll often see this around large expiration days when spot hovers between dense clusters of call and put open interest. <strong>Dealer hedging flows become most pronounced, pushing price toward the center or flinging it violently away if gamma flips</strong>.",
      "relevance_score": 5,
      "relevance_tags": [
        "gamma",
        "dealer_hedging"
      ],
      "key_finding": "<strong>Dealer hedging flows become most pronounced, pushing price toward the center or flinging it violently away if gamma flips</strong>.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "Managerial myopia and corporate green innovation: evidence from Chinese A-share listed firms",
      "authors": "Rui Wang, Xi Zhen, L. Li, Xiaoyu Ma, Shaojun Ma",
      "source": "journal",
      "url": "https://doi.org/10.3389/fphy.2025.1737565",
      "date": "2026-01-08",
      "abstract": "Against the backdrop of escalating climate risks, firms increasingly regard green innovation not merely as a sustainability initiative but as a strategic response shaping long-term competitiveness. From a managerial decision-making perspective, this study examines how managerial myopia influences firms\u2019 green innovation capabilities. Using panel data from Chinese A-share listed companies spanning 2013 to 2022, we employ empirical regression analyses to investigate the direct effect of managerial...",
      "relevance_score": 4,
      "relevance_tags": [
        "order_flow"
      ],
      "key_finding": "By foregrounding managerial myopia as a key internal governance factor, this study deepens the understanding of how managerial cognition shapes corporate green innovation and offers actionable implica",
      "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": "2026-03-26",
      "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": "2026-03-26",
      "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": "2026-03-26",
      "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&amp;P 500 Index, while SPX represents $100 x S&amp;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": "2026-03-26",
      "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": "2026-03-26",
      "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": "2026-03-26",
      "abstract": "In summary, to identify buying ... to <strong>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</strong>...",
      "relevance_score": 4,
      "relevance_tags": [
        "order_flow",
        "options_microstructure",
        "intraday",
        "volatility"
      ],
      "key_finding": "to <strong>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</strong>.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Dynamic Interactions Between Market Volatility Indices: Case US",
      "authors": "Sonia ELMGUIRHI",
      "source": "journal",
      "url": "https://doi.org/10.21919/remef.v21i2.1047",
      "date": "2026-03-13",
      "abstract": "This paper examines the volatility of market indices, which appears to have had a major impact during the period 2015-2022. This market volatility is shown through employing methods: ordinary least squares (OLS) and dynamic conditional correlation generalized autoregressive conditionally heteroskedastic DCC-GARCH. Our principal finding indicated that the volatility index will create disturbances in the financial market through the combining of indices VIX, VXV, VIX futures term structure, and SP...",
      "relevance_score": 3,
      "relevance_tags": [
        "vix"
      ],
      "key_finding": "This paper examines the volatility of market indices, which appears to have had a major impact during the period 2015-2022.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Sentiment-Augmented RNN Models for Mini-TAIEX Futures Prediction",
      "authors": "Yu-Heng Hsieh, Keng-Pei Lin, Ching-Hsi Tseng, Xiaolong Liu, Shyan-Ming Yuan",
      "source": "journal",
      "url": "https://doi.org/10.3390/a19010069",
      "date": "2026-01-13",
      "abstract": "Accurate forecasting in low-liquidity futures markets is essential for effective trading. This study introduces a hybrid decision-support framework that combines Mini-TAIEX (MTX) futures data with sentiment signals extracted from 13 financial news sources and PTT forum discussions. Sentiment features are generated using three domain-adapted large language models\u2014FinGPT-internLM, FinGPT-llama, and FinMA\u2014trained on more than 360,000 finance-related texts. These features are integrated with technic...",
      "relevance_score": 3,
      "relevance_tags": [
        "ml_trading"
      ],
      "key_finding": "Backtesting further demonstrates that the sentiment-enhanced PatchTST achieves a 526% cumulative return with a Sharpe ratio of 0.407, highlighting the value of incorporating sentiment into AI-driven f",
      "backtestable": true,
      "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": "2026-03-26",
      "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": "How Institutional Traders Exploit Gamma Explosion at Options Expiration",
      "authors": "Unknown",
      "source": "web",
      "url": "https://navnoorbawa.substack.com/p/how-institutional-traders-exploit",
      "date": "2026-03-26",
      "abstract": "A position that needed 100 futures contracts for hedging three days ago might require 500 contracts for the same price move on expiration day \u2014 amplifying scalping opportunities while simultaneously increasing transaction cost sensitivity. Sophisticated funds monitor aggregate dealer gamma exposure to predict microstructure dynamics.",
      "relevance_score": 3,
      "relevance_tags": [
        "gamma"
      ],
      "key_finding": "Sophisticated funds monitor aggregate dealer gamma exposure to predict microstructure dynamics.",
      "backtestable": true,
      "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": "2026-03-26",
      "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"
    },
    {
      "title": "0DTE Index Options and Market Volatility: How Large is Their Impact?\u2606",
      "authors": "Unknown",
      "source": "web",
      "url": "https://cdn.cboe.com/resources/education/research_publications/gammasqueezes.pdf",
      "date": "2026-03-26",
      "abstract": "This removes the influence of gamma from the returns, thereby yielding estimated ... \ud835\udc3a\ud835\udc39. (9) With this definition of the impact, positive impacts mean that the actual realized volatility, which \u00b7 reflects the impact of OMM delta hedging, exceeds the counterfactual volatility computed under",
      "relevance_score": 3,
      "relevance_tags": [
        "0DTE",
        "dealer_hedging",
        "volatility"
      ],
      "key_finding": "(9) With this definition of the impact, positive impacts mean that the actual realized volatility, which \u00b7 reflects the impact of OMM delta hedging, exceeds the counterfactual volatility computed unde",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Revisiting local expansions for zero days-to-expiry option pricing - ScienceDirect",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.sciencedirect.com/science/article/pii/S3050700625000532",
      "date": "2026-03-26",
      "abstract": "This <strong>highlights the relevance of flexible jump modeling in capturing the short-term dynamics of 0DTE options</strong>. Further gains are achieved by applying minimal filtering procedures to the data tails, which reduce pricing errors while preserving ...",
      "relevance_score": 3,
      "relevance_tags": [
        "0DTE"
      ],
      "key_finding": "Further gains are achieved by applying minimal filtering procedures to the data tails, which reduce pricing errors while preserving ...",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "The short-term predictability of returns in order book markets: A deep learning perspective - ScienceDirect",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.sciencedirect.com/science/article/pii/S0169207024000062",
      "date": "2026-03-26",
      "abstract": "(2019), the authors investigate the explanatory power of (multi-level) order flow imbalance for price changes, i.e., the relationship between contemporaneous order flow imbalance and price changes. In our setting, as in Kolm et al. (2021), we are instead interested in exploring the predictive power of order flow, i.e., the relationship between past order flow and future price changes.",
      "relevance_score": 3,
      "relevance_tags": [
        "order_flow",
        "ml_trading"
      ],
      "key_finding": "(2021), we are instead interested in exploring the predictive power of order flow, i.e., the relationship between past order flow and future price changes.",
      "backtestable": true,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "VIX term structure as a trading signal | Macrosynergy",
      "authors": "Unknown",
      "source": "web",
      "url": "https://macrosynergy.com/research/vix-term-structure-as-a-trading-signal/",
      "date": "2026-03-26",
      "abstract": "The downward sloping VIX futures term structure <strong>suggests that short-term volatility is relatively high compared to its long-term level and that investors expect a decrease in volatility in the future</strong>.",
      "relevance_score": 3,
      "relevance_tags": [
        "vix"
      ],
      "key_finding": "The downward sloping VIX futures term structure <strong>suggests that short-term volatility is relatively high compared to its long-term level and that investors expect a decrease in volatility in the",
      "backtestable": true,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Spot the Flow, Seize the Edge: 5 Options Signals Every Trader Should Be Watching | SpotGamma\u2122",
      "authors": "Unknown",
      "source": "web",
      "url": "https://spotgamma.com/5-options-signals-every-trader-should-be-watching/",
      "date": "2026-03-26",
      "abstract": "\u201cThere are large positions up at $1,000\u2026 there is enough gamma that NFLX could move more than just 7%\u201d \u2013 SpotGamma Founder Brent Kochuba, January 21, 2025 ... By reading the options market, it was clear that options flows could exacerbate any price movement \u2014 with no overhead resistance until the $1,000 strike for NFLX. \u2705 Trading Edge: Use SpotGamma\u2019s Equity Hub to track support/resistance levels defined by options open interest \u2014 not lagging technicals.",
      "relevance_score": 3,
      "relevance_tags": [],
      "key_finding": "\u2705 Trading Edge: Use SpotGamma\u2019s Equity Hub to track support/resistance levels defined by options open interest \u2014 not lagging technicals.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Put-Call Ratio Meaning and How to Use It to Gauge Market Sentiment",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.investopedia.com/ask/answers/06/putcallratio.asp",
      "date": "2026-03-26",
      "abstract": "The put-call ratio is often a contrarian indicator, meaning <strong>extreme values may signal potential market reversals</strong>.",
      "relevance_score": 3,
      "relevance_tags": [
        "put_call_ratio",
        "mean_reversion"
      ],
      "key_finding": "The put-call ratio is often a contrarian indicator, meaning <strong>extreme values may signal potential market reversals</strong>.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Put/Call Ratio 101: Master This Powerful Market Sentiment Indicator",
      "authors": "Unknown",
      "source": "web",
      "url": "https://financer.com/invest/put-call-ratios/",
      "date": "2026-03-26",
      "abstract": "The Put/Call Ratio <strong>measures market sentiment by comparing the volume of put options to call options traded, serving as a contrarian indicator of investor behavior</strong> \u00b7 Currently at 0.66 for CBOE equity options, with extremes of 0.82 (bearish) ...",
      "relevance_score": 3,
      "relevance_tags": [
        "mean_reversion"
      ],
      "key_finding": "The Put/Call Ratio <strong>measures market sentiment by comparing the volume of put options to call options traded, serving as a contrarian indicator of investor behavior</strong> \u00b7 Currently at 0.66 ",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    }
  ]
}