# Options Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Options", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

IBIT Options Metrics Live on Glassnode

Glassnode has expanded its options analytics to include BlackRock's iShares Bitcoin Trust ETF (IBIT), the largest US spot Bitcoin ETF. This move brings institutional-grade volatility intelligence to a key regulated Bitcoin instrument, reflecting Bitcoin's integration into traditional finance. IBIT options, with over $27.6B in open interest, now rival crypto-native venues like Deribit, offering a crucial lens into institutional positioning and risk appetite. The new suite provides 40+ metrics, including open interest, volume, max pain, ATM implied volatility, and proprietary skew analytics like the IBIT Skew Index. A core application is comparing IBIT data with platforms like Deribit to identify divergences between traditional finance and crypto-native market sentiment. For instance, recent data showed IBIT options exhibited a more defensive, put-skewed stance compared to Deribit at the 1-month tenor. These tools enable professionals to measure TradFi Bitcoin sentiment, monitor hedging pressure, and track volatility risk across tenors. The growth of IBIT options signals Bitcoin's maturation, allowing the pricing of volatility and complex risk views within a regulated framework. Glassnode's coverage provides real-time analytics for this evolving market structure.

insights.glassnode06/03 13:45

insights.glassnode06/03 13:45

Red Flags in US Stock Options Data: Last Time This Signal Appeared Was Before the 2022 Bear Market

A key gauge of U.S. stock market sentiment, the Cboe equity put-to-call ratio's five-day moving average, has fallen to its lowest level since March 2022, preceding the last bear market. This indicates investors are buying more than twice as many bullish call options as bearish puts, a historically extreme reading that signals potentially excessive optimism, particularly among retail traders fueled by the AI frenzy. Market analysts warn this mirrors conditions seen before the market peaks in late 2021 and early 2022, which were followed by sustained declines. Meanwhile, a record divergence has emerged between low overall market volatility (VIX) and high single-stock implied volatility, highlighting intense internal market divergence driven by AI-related stocks. Despite these cautionary signals, major indexes including the S&P 500 continued to hit record highs, with the tech sector leading gains.

marsbit06/02 09:37

Red Flags in US Stock Options Data: Last Time This Signal Appeared Was Before the 2022 Bear Market

marsbit06/02 09:37

Vitalik: Building Index-Tracking Assets Based on Options Rather Than Debt

Vitalik Buterin proposes constructing index-tracking assets using synthetic options rather than debt-based mechanisms. The core problem is enabling exposure to a price index (T, e.g., USD/ETH) in a trust-minimized environment where only ETH is a trustless asset, relying solely on a decentralized oracle. Traditional approaches, like algorithmic stablecoins, use debt positions and require real-time, binding oracles for liquidations, which are difficult to secure. This article suggests a paradigm shift: eliminating liquidation and using options as the fundamental building block, requiring only a "slow" oracle. The design defines two synthetic assets, P and N, with parameters for the index T, a strike price S, and an expiry M. At any time, 1 ETH can be split to create a (P, N) pair or merged back. At expiry M, the oracle determines T's value x. P receives min(1, S/x) ETH, and N receives max(0, 1 - S/x) ETH. This structure inherently avoids insolvency risk (P+N=1) and can share an oracle with prediction markets. To gain stable exposure to T (e.g., USD), a user would hold deeply "in-the-money" P options (with S significantly below the current price) and periodically "roll" them to lower strikes as the price approaches the current strike, rebalancing their portfolio. This transfers the decision of *when* to act from a protocol-enforced liquidation (requiring a real-time oracle) to the user or an automated wrapper. Users can manage MEV risk and oracle dependency by choosing their rebalancing timing and data sources. A key trade-off is accepting some quadratic drift (deviation from perfect peg), estimated at 1-4% annualized volatility. Buterin argues this cost is reasonable compared to fiat currency volatility or equilibrium shifts in other stablecoins. The success of this model depends heavily on designing low-slippage market mechanisms for the rebalancing process, leveraging users' low time preference to execute trades patiently.

marsbit06/02 03:12

Vitalik: Building Index-Tracking Assets Based on Options Rather Than Debt

marsbit06/02 03:12

Are Rising U.S. Stocks Getting More Dangerous? Goldman Sachs: Downside Protection Mechanisms Have Almost Failed

The US stock market rally is showing signs of becoming increasingly precarious as key downside protection mechanisms fail, according to Goldman Sachs. Derivatives strategist Brian Garrett notes that the S&P 500 options volatility skew has plunged to an 18-month low, indicating the market now prices an 8% probability for both a 10% drop and a 10% rise—a sign of "skew failure." Concurrently, Goldman's Panic Index hit a two-year low, reflecting minimal demand for tail-risk hedging. This complacency emerges amid a relentless market surge, with the S&P 500 setting new records frequently in 2024. Garrett highlights three major concerns: extreme concentration in the top ten stocks (40% of index weight), heavy reliance on AI-themed performance, and a price pattern eerily similar to the 1998-1999 period. Despite pervasive media pessimism, this fear is absent in options pricing. Downside hedge costs are historically low. Goldman suggests tactical trades: buying RSP outperformance options versus the SPX for a broadening rally, purchasing VIX calls for protection, and going long on Bitcoin ETF volatility. Hedge funds have been net buyers for two weeks, with sector rotation into financials and out of industrials. Notably, the global single-stock leveraged/ inverse ETF AUM has doubled to over $60 billion in two months, underscoring growing speculative activity.

marsbit06/01 09:45

Are Rising U.S. Stocks Getting More Dangerous? Goldman Sachs: Downside Protection Mechanisms Have Almost Failed

marsbit06/01 09:45

Consumer Confidence Hits Bottom, Macro Correlations Simultaneously Break Down: How Much Longer Can the U.S. Stock Market's Solo Rally Last?

The U.S. stock market is exhibiting a rare divergence: while consumer confidence hits historic lows and traditional macro asset correlations break down, major indices like the Nasdaq 100 and S&P 500 continue reaching record highs, fueled primarily by AI and semiconductor momentum. The rally is now highly concentrated, with strength rotating from giants like Nvidia to higher-beta plays within semiconductors, particularly memory chips. This surge occurs despite a significant split between pessimistic consumer sentiment and still-resilient actual spending behavior, partially supported by fiscal stimulus. Goldman Sachs traders highlight a critical structural fissure: correlations between the S&P 500 and key macro assets (rates, gold, VIX, oil) have deviated extremely from long-term historical norms. Concurrently, the market is in a negative Gamma regime, making it more sensitive to price moves, and hedge fund positioning in momentum and semiconductors is at crowded levels. The sustainability of this "solo rally" faces three main constraints: 1) Oil price volatility linked to Middle East geopolitical risks, 2) Extreme crowding in semiconductor and momentum trades, increasing vulnerability to disappointments, and 3) The breakdown of traditional macro correlations, suggesting the rally reflects a specific mix of factors rather than broad-based risk appetite. The key question is not if indices can rise further, but which variable—oil, rates, or semiconductor momentum—might trigger a repricing of the current fragile logic.

marsbit05/28 04:55

Consumer Confidence Hits Bottom, Macro Correlations Simultaneously Break Down: How Much Longer Can the U.S. Stock Market's Solo Rally Last?

marsbit05/28 04:55

X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

Titled "A 'Noise-Reduction' List of 50 Top US Stock Market Influencers on X," this article curates a selection of accounts for investors seeking quality information beyond follower counts. The list prioritizes accounts that have consistently discussed US stocks, ETFs, earnings, macroeconomics, options, and tech/AI/semiconductor topics over the past 90 days. Selection criteria focused on genuine informational value, stable analytical frameworks over mere news aggregation, and a clear relevance to US equity markets, with tighter filtering for crypto-heavy accounts. The final 50 accounts are categorized into three groups: - **Core US Stocks/Trading (31 accounts)**: Covering market trends, individual stocks, earnings, valuation, options, macroeconomics, and trading strategies. - **Tech/AI/Semiconductors (18 accounts)**: Focused on tech stocks, AI supply chains, semiconductor cycles, data centers, and cloud capital expenditure. - **News Source (1 account)**: Useful as a news radar, not for standalone decision-making. Presented alphabetically by handle, the list includes analysts, traders, and researchers such as @amy6tina (options/CFA), @dylan522p (semiconductors/AI infrastructure), @gerberkawasaki (tech stocks), @jimcramer (market commentary), and @tengyanai (semiconductors/AI trends). The article suggests using the list to: 1) complete one's information sources on US markets and specific sectors, 2) observe narrative linkages between AI, semiconductors, earnings, macro liquidity, and stock prices, and 3) "de-noise" and enhance the quality of one's X feed. It clarifies this is not investment advice or an endorsement, but a snapshot of content relevance and informational value for US equity investors.

marsbit05/27 00:08

X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

marsbit05/27 00:08

Bitcoin Trading Enters New Era With SEC-Approved Nasdaq Index Options

The U.S. Securities and Exchange Commission (SEC) has approved Nasdaq's proposal to list and trade Bitcoin index options, though trading is not immediate. Final approval is also required from the Commodity Futures Trading Commission (CFTC), which has jurisdiction over Bitcoin as a commodity. The cash-settled, European-style options, to trade under ticker QBTC on the Philadelphia Stock Exchange, will derive their value from the Nasdaq Bitcoin Index and will not involve physical Bitcoin delivery. This decision reflects a broader regulatory shift under SEC Chairman Paul Atkins, including a move toward clearer rules supporting innovation and reports of a potential "innovation exemption" for tokenized securities. The approval represents a continued integration of Bitcoin-linked products into mainstream finance.

bitcoinist05/23 19:01

Bitcoin Trading Enters New Era With SEC-Approved Nasdaq Index Options

bitcoinist05/23 19:01

The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

An AI-focused hedge fund named Situational Awareness LP, known for its 60x returns, has taken a significant bearish stance on semiconductor stocks in Q1 2026. Its 13F filing reveals a massive 148% quarterly increase in nominal exposure to $13.677 billion, with over 60% of the new exposure directed towards put options on major chip players. Key bearish bets include $2.04 billion in puts on the VanEck Semiconductor ETF (SMH) and $1.56 billion on NVIDIA, alongside positions against Broadcom, Oracle, AMD, and others. The fund simultaneously increased its long equity holdings in AI infrastructure and compute providers like CoreWeave and Bitcoin mining companies repurposing for compute. The core thesis behind this positioning is a shift in the primary constraint for AI expansion. The fund argues that while GPU supply was the critical bottleneck in previous years, the new limiting factors for large-scale AI cluster deployment are physical infrastructure: electrical grid access (with multi-year backlogs in the US), power availability, land, and data center construction timelines. The fund is not betting against AI's success but rather hedging against potential valuation corrections in semiconductor stocks whose prices may have run ahead, while directly investing in the downstream physical bottlenecks—power and data center capacity—it believes will capture value next. This move translates a previously theoretical narrative about infrastructure constraints into a concrete, high-conviction portfolio structure.

链捕手05/20 14:50

The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

链捕手05/20 14:50

Why Are the Most Believers in AGI Buying NVIDIA Put Options?

The article analyzes the significant, market-moving 13F filing for Q1 2026 by Situational Awareness LP (SALP), a fund managed by former OpenAI researcher Leopold Aschenbrenner. While Aschenbrenner is a prominent believer in the accelerated arrival of AGI and has built the fund as a focused bet on AI infrastructure, the filing revealed large new put option positions (totaling billions in notional value) on key AI/semiconductor names like Nvidia, SMH ETF, Broadcom, and AMD. The article argues this is not a bearish turn on AI but a sophisticated hedging strategy. Given the macro backdrop in late March (rising oil prices, inflation concerns, higher-for-longer interest rates), the fund is managing volatility in its high-beta, high-valuation portfolio of AI infrastructure plays (like Bloom Energy, CoreWeave, Core Scientific). The puts act as "insurance" against a potential systemic pullback in the AI trade. Simultaneously, SALP maintained or added to core long positions in companies tied to power, data centers, compute, and storage—the "bottlenecks" expected to capture AI capital spending. It trimmed or exited some Q1 winners (e.g., Lumentum) and reduced leverage (e.g., selling CoreWeave calls), suggesting a rotation from crowded, high-momentum trades towards assets with clearer long-term fundamental pathways. The key takeaway is an evolution in the AI investment theme: from a broad, linear rally to a more discerning, "show-me-the-money" phase. The focus shifts from simply buying the AI narrative to identifying companies that can convert capex into tangible revenue, while actively managing portfolio risk in a volatile macro environment. The strategy reflects a move from unilateral bullishness to "offense with defense."

marsbit05/20 12:23

Why Are the Most Believers in AGI Buying NVIDIA Put Options?

marsbit05/20 12:23

Is Citadel’s XRP ETF A Game-Changer Or Is It Another Empty Whistle?

Citadel Advisors, led by Ken Griffin, has reportedly closed all put options on its Canary XRP ETF while retaining 34,900 call options, signaling potential bullish confidence in XRP's price. An unverified 13F filing suggests Citadel holds $1.7 million in XRP ETF exposure. This follows the firm's earlier $500 million investment in Ripple in November 2025. Concurrently, XRP spot ETFs recorded their highest weekly inflow in 2026 at $60.5 million, bringing total net inflows to $1.39 billion. Analysts note institutional accumulation contrasts with retail selling, likely anticipating key regulatory and market developments like the CLARITY Act and Fed Chair appointment. These moves suggest large funds are positioning for potential upside ahead of significant XRP ecosystem events.

bitcoinist05/19 21:31

Is Citadel’s XRP ETF A Game-Changer Or Is It Another Empty Whistle?