# 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.

The Rally That Wasn't

The article analyzes Bitcoin's sharp decline amid a shift in macroeconomic expectations, with strong US job data leading markets to price out Fed rate cuts. Bitcoin fell 13% to around $67,000, triggering significant outflows from US spot ETFs and indicating institutional de-risking. On-chain data confirms a bearish structure. Price has dropped back into the "bear market range," with the Short-Term Holder Cost Basis falling below a key mean level—a pattern last seen in early 2022. The profitability bias has collapsed, with loss realization now dominating, mirroring a panic wave from February. Recent buyers who accumulated near the $82k top are under pressure, and loss realization is accelerating across both short-term and long-term holder cohorts. Off-chain, the rally failed at the aggregate US ETF cost basis near $83k, turning it into resistance. Spot market demand has deteriorated sharply, with sellers dominating order books. While a major long liquidation event cleared over $400M in leverage, spot buyers have not returned to absorb supply. Options markets show sustained demand for downside protection (elevated put premiums) but not panic, with volatility premiums near three-month highs. The conclusion is that the market remains fragile, with overhead supply from trapped ETF investors, weak spot demand, and accelerating losses. Without a return of spot buying and a reclaim of key cost bases, Bitcoin is vulnerable to further downside within the prevailing bear market structure.

insights.glassnode19h ago

The Rally That Wasn't

insights.glassnode19h ago

BTC Market Pulse: Week 19

Bitcoin market analysis for Week 19 indicates a phase of consolidation and weakening near-term momentum. Overhead supply is capping price gains, evidenced by declines in price momentum, net buying pressure, and trading activity. Futures markets show increased speculative interest but also strong sell-side pressure. Options data reflects a cautious outlook with heightened perceived risk. Traditional finance signals are mixed: U.S. Spot ETFs saw significant net outflows and lower volume, suggesting softer institutional demand and potential profit-taking. However, on-chain activity shows a rise in daily active addresses, indicating steady user engagement. Overall, liquidity and positioning metrics point to a relatively stable market structure with easing bearish pressure, balancing weaker institutional flows with gradually improving sentiment.

insights.glassnode23h ago

BTC Market Pulse: Week 19

insights.glassnode23h ago

Bulls Approach the Ceiling

Bitcoin has surged to $81k, breaking above key on-chain resistance levels like the True Market Mean ($78.2k) and Short-Term Holder Cost Basis ($79.1k). The market is now targeting the next major hurdle at the Active Realized Price near $85.2k. On-chain metrics show profitability flipping positive, with the Net Realized Profit/Loss indicator turning constructive. However, the recovery faces headwinds from rising long-term holder profit-taking and still-elevated loss realization. Off-chain, ETF demand has rebounded, providing a tailwind, while perpetual futures funding rates remain negative, indicating persistent short pressure. Options markets show increased sensitivity with a large short gamma cluster around $82k, which could amplify price moves. The overall trend is constructive, but Bitcoin is approaching a significant supply zone where the market's ability to absorb selling pressure will be tested for a sustained breakout.

insights.glassnode23h ago

Bulls Approach the Ceiling

insights.glassnode23h ago

BTC Market Pulse: Week 21

Bitcoin's market structure shows signs of softening in Week 21, with weakening momentum and spot demand. Spot trading volume increased, but this was accompanied by a dramatic rise in selling pressure as indicated by a steep decline in Spot CVD. Futures market activity reflects caution, with decreased open interest yet a significant surge in demand for long positions. Concurrently, substantial sell-side pressure persists in perpetual contracts. Options traders are increasingly positioning for downside protection, evidenced by a sharp rise in the 25-Delta Skew, alongside growing open interest and volatility expectations. Traditional finance sentiment has softened, with weaker ETF netflows and falling MVRV, though ETF trade volume rose. On-chain metrics show mixed activity with declining active addresses but increased large-scale transfers. Overall, while long-term holder strength and stable liquidity provide resilience, the market exhibits fading euphoria, defensive positioning, and a prevailing shift toward bearish sentiment across spot, futures, and options segments.

insights.glassnode23h ago

BTC Market Pulse: Week 21

insights.glassnode23h ago

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.glassnode23h ago

IBIT Options Metrics Live on Glassnode

insights.glassnode23h ago

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.

marsbit2 days ago 09:37

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

marsbit2 days ago 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.

marsbit2 days ago 03:12

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

marsbit2 days ago 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

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