SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Odaily星球日报Pubblicato 2024-02-26Pubblicato ultima volta 2024-02-26

Introduzione

数字货币方面,BTC已经在51000-52000美元附近横盘接近12天,ETH则是实现了进一步的突破来到3000点上方,收报3092(+2%)。期权方面,ETH隐含波动率仍然居于60%附近的高点,BTC大多则是在50%附近,中前端IV差距高达10% Vol。

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

自上周英伟达超预期的财报公布后,科技板块经历了惊人的涨幅,尽管周五因部分获利了结而稍显落后,但美股仍保持在历史高点附近。另一方画面,卖方经济学家一直在上修美国经济增长预测,普遍认为经济衰退的可能性已经降至 40% 不到, 2024 年经济增长预测的中位数为 2.1% ,高盛也因强劲的经济数据而将美联储首次降息的预测推迟至 6 月,当前互换市场对 5 , 6 月降息的概率分别定价在 22% 和 68% 左右。美债方面,十年期美债于周五美盘时段大幅跳水,现报 4.242% ,两年期回落至 4.682% 。

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: SignalPlus, Economic Calendar

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: Binance & TradingView

数字货币方面,BTC 已经在 51000-52000 美元附近横盘接近 12 天,ETH 则是实现了进一步的突破来到 3000 点上方,收报 3092 (+ 2% )。期权方面,ETH 隐含波动率仍然居于 60% 附近的高点,BTC 大多则是在 50% 附近,中前端 IV 差距高达 10% Vol。

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: Deribit (截至 26 FEB 16: 00 UTC+ 8)

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: SignalPlus

交易方面,BTC 六月底突然涌现看涨期权买入,主要来自大宗 85000 买 Call,以及一组 Buy 28 Jun Sell 29 Mar 60000-C 的日历价差;除此之外,尽管是上周买 Vol 的热门期限,过去 24 小时 1 MAR 的成交主要却以 Short Put Spread 和 Short Call 为主。

另一方面,观察到过去 24 小时 BTC/ETH 前端的 Vol Skew 明显下滑,三月往后的期限上扬,从交易上看,ETH 四月底出现了以 2600 vs 3700/ 2800 vs 3600 为代表的两组 Long Risky,总成交量逾 10000 组。

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Data Source: Deribit,BTC 成交分布

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: SignalPlus,前端 Vol Skew 下行

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Data Source: Deribit,ETH 成交分布

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: Deribit Block Trade

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

Source: Deribit Block Trade

SignalPlus波动率专栏(20240226):ETH站上3000关口,IV维持高位

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Letture associate

Kalshi's Biggest Rival is Not Polymarket

Kalshi's CEO Tarek Mansour has identified the company's primary competitors not as the crypto-based prediction market Polymarket, but as established financial and gaming giants: CME Group, Robinhood, and DraftKings. This reflects a shift in the prediction market landscape, where the 2026 FIFA World Cup is expected to bring massive new trading volume. Traditional platforms are increasingly integrating prediction markets as a feature within their existing ecosystems. Robinhood has seen rapid growth with its prediction markets, contributing significantly to its "other transaction revenue." Similarly, Interactive Brokers (IBKR) integrates contracts from Kalshi and CME Group, while DraftKings and FanDuel (via CME) have launched their own prediction products. This allows these firms to leverage their vast user bases and infrastructure at low marginal cost, turning prediction markets from standalone apps into embedded functionalities. In response, prediction market platforms are evolving along two paths. First, they are expanding into new event categories like sports (e.g., the World Cup) and financial data to reduce reliance on election cycles. Second, they are moving towards becoming infrastructure and liquidity providers for distribution platforms. Kalshi's lead over Polymarket in trading volume is partly attributed to this channel strategy, integrating with brokers like Robinhood, Coinbase, and Webull. However, this strategy faces a challenge as distributors like Robinhood begin building their own in-house prediction market capabilities (e.g., Rothera), potentially threatening the value of pure infrastructure providers. The situation parallels historical tech battles, such as Zoom competing with Microsoft Teams and Google Meet, where embedded features in larger platforms reshape market dynamics. The future of standalone prediction market leaders like Kalshi and Polymarket will depend on their ability to navigate this new competitive landscape dominated by integrated financial and gaming titans.

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Kalshi's Biggest Rival is Not Polymarket

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Trends in US Stocks (June 22): Strait of Hormuz Agreement Changes Course, Thursday's PCE and Micron to Determine Chip Sector Direction

U.S. Stock Market Outlook (June 22): Strait of Hormuz Deal Falters, Thursday's PCE & Micron to Set Chip Sector Direction. Geopolitical tensions resurged over the weekend as Iran's IRGC announced the closure of the Strait of Hormuz, and its negotiation team walked out after threats from Trump, pausing U.S.-Iran talks. This renewed risk premium is weighing on U.S. equity futures ahead of the open. Last week's market was driven by chip stocks, with the Philly Semiconductor Index hitting a record high. While the Fed's hawkish tone was overshadowed by initial deal optimism, the S&P 500 gained 0.9% for the week. SpaceX debuted strongly but ended with two down days. Key events this week: The status of U.S.-Iran negotiations remains the immediate variable for oil and energy stocks. Monday sees Marvell and Flex added to the S&P 500. Tuesday's MSCI reclassification could benefit South Korean semiconductors and memory stocks. **Thursday, June 25th, is the critical day**, featuring the May Core PCE report and Micron's earnings. Hotter PCE data could solidify expectations for two 2024 rate hikes, while softer data would rapidly reprice rate cut bets. Micron's report is a key test for the AI narrative; the market will scrutinize its 2027 HBM supply visibility, HBM4 progress, and its position in Nvidia's Vera Rubin supply chain. Nvidia's AGM and a potential OpenAI GPT-5.6 release will make Thursday a pivotal 24 hours for AI. Friday concludes with the Russell reconstitution, elevating small-cap volatility. In summary, last week's gains face a true test. The path hinges on two concurrent threads: geopolitical developments with Iran and the AI narrative defined by Micron's guidance and Nvidia's updates. The chip sector's record highs are vulnerable if Thursday brings hot PCE data and conservative guidance from Micron. Conversely, positive outcomes could reaffirm the AI bull case, making this week's volatility a potential entry window.

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Trends in US Stocks (June 22): Strait of Hormuz Agreement Changes Course, Thursday's PCE and Micron to Determine Chip Sector Direction

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OpenAI's "Most Open" Move: Codex No Longer Exclusively Favors GPT

OpenAI has significantly opened up its Codex programming agent by introducing a "model provider" configuration layer that allows users to connect it with various open-source models, not just its proprietary GPT. Through a configuration file or a simple `--oss` command-line flag, Codex can now route requests to local services like Ollama or LM Studio, or to third-party APIs such as Mistral or DeepSeek. This move is seen as one of OpenAI's most "open" steps, potentially lowering costs and enhancing privacy for developers who can run code generation offline. However, integration isn't seamless for all models. Codex primarily uses OpenAI's newer Responses API, while many open-source models rely on the older Chat Completions interface. This creates compatibility issues, especially for advanced features like function calling. The developer community is already building "routing" or adapter layers (e.g., CC Switch, LiteLLM) to translate between these protocols, enabling hybrid setups where GPT handles planning and open-source models handle execution. Analysts interpret this as a strategic shift for OpenAI: from competing solely on model superiority to controlling the platform and interface standards. By making Codex a flexible, pluggable entry point for AI-assisted programming, OpenAI aims to become the central hub in the developer toolchain ecosystem, even as users gain the freedom to switch underlying models.

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OpenAI's "Most Open" Move: Codex No Longer Exclusively Favors GPT

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