# Сопутствующие статьи по теме Hedging

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Hedging", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Data Research: How Big Is the Liquidity Gap Between Hyperliquid and CME Crude Oil?

This analysis compares the liquidity and market structure of Hyperliquid's xyz:CL perpetual crude oil contract with CME's CLJ6 futures contract over a three-week period from late February to mid-March 2026. Key findings reveal a significant liquidity gap: Hyperliquid's average depth is less than 1% of CME's, with a 125x difference at the ±2 bps level. The median trade size on Hyperliquid ($543) is 166x smaller than on CME ($90,450), reflecting its crypto-native retail user base. For a $1M order, estimated slippage on Hyperliquid (15.4 bps) is approximately 20x higher than on CME (0.79 bps), indicating it currently lacks the capacity for institutional-sized orders. However, a notable trend emerged during weekends when CME is closed. Hyperliquid's weekend trading volume grew significantly over the three observed weekends, from $31M to over $1B, and the average trade size increased, suggesting use by traders seeking exposure or hedging ahead of Monday's open. While an initial "discovery boundary" mechanism limited price discovery on the first weekend, subsequent weekends showed Hyperliquid's price increasingly converged with CME's Monday opening price, demonstrating its evolving price discovery capabilities. The report concludes that while Hyperliquid's absolute liquidity metrics are not comparable to CME, its growing weekend activity shows promise. However, high transaction costs for large orders remain a major barrier to attracting institutional participants.

Odaily星球日报04/06 02:50

Data Research: How Big Is the Liquidity Gap Between Hyperliquid and CME Crude Oil?

Odaily星球日报04/06 02:50

How to View the Divergence Between Gold and Oil Prices?

The article analyzes the divergence between gold and oil prices following the outbreak of the U.S.-Iran war. While oil prices surged significantly, gold experienced a decline, contrary to expectations given its traditional role as a safe-haven asset during geopolitical crises. Gold serves three primary hedging functions: against geopolitical risk, inflation risk, and U.S. dollar risk. Since late 2023, gold had been in a strong bull market, rising from $1,800 to over $5,000, driven by simultaneous geopolitical tensions (e.g., Russia-Ukraine war, Middle East conflicts), inflationary pressures, and a weakening dollar due to the Fed's premature rate cuts. However, after the U.S. "decapitation" strike on Iran, gold prices fell sharply. This was attributed to two main factors: a shift of capital from gold to oil, as investors repositioned portfolios to capitalize on rising oil prices, and a liquidity crisis in U.S. financial markets that forced large-scale sell-offs of gold—a highly liquid asset—to meet redemption demands. More critically, growing pessimism about a prolonged U.S.-Iran conflict raised fears of sustained high oil prices, potential global economic disruption, and a possible reversal of Fed monetary policy (delayed cuts or even renewed hikes). This expectation of tighter policy caused gold’s dollar-related hedging function to reverse, overwhelming its geopolitical and inflation hedging roles and leading to a severe correction. Oil prices also experienced volatility. They initially spiked to nearly $120 per barrel post-strike, then fell by 30% on Trump’s hints of a quick resolution, but rebounded as market expectations corrected when the conflict persisted and the Strait of Hormuz remained threatened. The outlook for both commodities depends on the evolution of the U.S.-Iran conflict. If it becomes a prolonged war like Ukraine, gold may lack short-term value as monetary fears prevail, while oil and energy assets may benefit. A critical factor will be whether the Strait of Hormuz is reopened, which hinges on geopolitical decisions ahead.

marsbit03/23 02:20

How to View the Divergence Between Gold and Oil Prices?

marsbit03/23 02:20

If You Bought One Deep OTM Bitcoin Put Option Every Month Since 2018, Could You Make Money in the Long Run?

Based on a systematic backtest from 2018 to 2026, this study examines the long-term profitability of a monthly strategy of buying one deep out-of-the-money (OTM) put option on Bitcoin (BTC) and Ethereum (ETH), with a target delta of 0.01 and a 30-day expiration. The results are highly divergent. The strategy is not a stable source of profit but a classic, path-dependent tail insurance tool characterized by extreme right skew, very low win rates, and severe drawdowns. For BTC, the strategy yielded a final total return of 97.62% (CAGR: 8.66%), while for ETH, it resulted in a -73.07% loss (CAGR: -14.78%). The performance difference is attributed to BTC's extreme payouts being sufficient to cover the long-term cost of premiums, whereas ETH's were not. Key characteristics of the strategy include: * Extremely low win rates (BTC: 2.04%, ETH: 1.02%). * Catastrophic maximum drawdowns (BTC: -97.24%, ETH: -93.82%). * The median trade return was -100% for both assets. * Profits are driven entirely by a few extreme winning trades, with the top 5 trades contributing over 10x the net profit for BTC. * Notably, not all major market crashes (e.g., March 2020, LUNA, FTX) resulted in profitable positions due to timing and strike price placement. Parameter sensitivity analysis showed that a delta of 0.02 offered a more balanced risk-return profile across metrics. The strategy is best suited for investors who can tolerate years of continuous losses, view it as portfolio insurance rather than a primary alpha generator, and seek convexity against extreme downside events. It is not suitable for those seeking stable returns or with low risk tolerance.

marsbit03/16 11:11

If You Bought One Deep OTM Bitcoin Put Option Every Month Since 2018, Could You Make Money in the Long Run?

marsbit03/16 11:11

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