Alex Wu

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Alex Wu

Alex Wu

@StochAlex07

Options Quant @ https://t.co/1N1kClHJz3

Katılım Ağustos 2017
97 Takip Edilen148 Takipçiler
Alex Wu
Alex Wu@StochAlex07·
回测系统会不断优化,给用户带来更顺畅的体验和更接近市场实际情况的模拟
Manchurius Hao — Greeks.live首席赌狗@AntonLaVay

太强了!感谢 @GreeksLive 团队! 先说回测结果本身:每月双卖30天 $btc ATM跨式+每日delta对冲,Sharpe 0.84,胜率63%,最大回撤0.14 BTC。数字不夸张但是非常真实的卖方的样子:稳定收租,偶尔挨打,长期为正。 这种带DDH模拟的期权策略回测,在美股市场都是稀缺品。 美股做期权回测的工具不少(ORATS、OptionVue、TastyTrade),但大多数只能回测静态策略,比如“每月卖一个iron condor然后持有到期”。 一旦你想加入DDH,就需要完整的历史期权链数据(不是只有ATM vol,而是每一个strike,每一个到期日的完整曲面),加上一个能模拟每日调仓滑点和交易成本的引擎。 这套东西在美股要么自己写代码+买OptionMetrics的数据(一年几万美元),要么用机构级平台。散户基本接触不到。 而在加密期权市场,这种工具在此之前根本不存在。你想回测一个Deribit上的卖方策略加DDH?自己写Python爬历史数据慢慢搭。 现在GreeksLive直接把这个做成了产品,而且是带SABR模型一致性的回测,这意味着你回测时用的Greeks和你实盘时用的Greeks是同一套模型算出来的,不存在“回测用BSM实盘用SABR”的错位问题。 做时间的朋友之前,先得有工具验证时间到底是不是你的朋友,对吧? @JeffLia12309881 的波动率交易课程,不仅仅是教授知识,其实我觉得更多是一整套系统的东西。 欢迎大家加入我们Crypto期权社区一起讨论:t.me/GlobalLife2023

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Alex Wu
Alex Wu@StochAlex07·
For modern vol traders, it's crutial to understand these definitions, so that adjustments and hedging decisions are correctly made. As for advanced analytics based on stochastic volatility (SABR), visit greeks.live to explore more.
Jeff Liang@JeffLia12309881

我和Quant Alex @StochAlex07的讨论:Vega*∂Sigma/∂F是否可以被称为Vanna项? **Compressed Summary: Jeff & Alex Wu Discussion on “whether Vega × ∂Sigma/∂F is a Vanna term?”** ### Core Question (Jeff) Jeff asks why many traders call **Vega × ∂Sigma/∂F** (Smile Delta / Shadow Delta) a “Vanna term” under implied vol surface context. He notes this term represents **spot-induced IV change due to moneyness shift**, but it differs from the classic cross-derivative ∂²P/(∂F ∂Σ). He wants to know if this broader usage is valid. ### Alex’s Clear Verdict **No — it should not be called Vanna.** The “broad interpretation” is **sloppy and mixes two different concepts**: - **Classical BS Vanna**: Second-order Greek — how Vega changes with Spot, or how Delta changes with IV (inside BS PDE). - **Vega × ∂Sigma/∂F (Smile Delta)**: Describes **realized spot–IV dynamics** (how the implied volatility surface itself moves when spot moves). Alex: “They are not the same thing — their explanatory targets are completely different.” ### Why the Confusion Exists - In pure BS, Vanna and Volga were introduced to handle Greeks sensitivity to spot/IV moves. - Spot-induced IV changes are a **separate phenomenon**, addressed by market conventions: - Sticky Strike / Sticky Delta / Sticky Local Vol - Implied Skew (quick proxy for spot-vol linkage) - Calculating full strike-by-strike spot-IV correlations is impractical, so desks focus on **Spot vs ATM IV dynamics**. ### Modern Practical Approaches (Beyond BS Vanna) 1. **Parametric Vol Dynamics** (SEPP / SVI / Vola Dynamics path) Regress dSpot & dATM Vol → derive each strike’s dIV/dF. Focuses on **smile shape**, not stochastic dynamics. Naturally compatible with sticky rules. 2. **Stochastic Volatility Models** (e.g. SABR) Directly links implied skew to **spot-vol covariance**. A Vanna-like term appears in the PDE, but **Bartlett Delta contains no Vanna**. ### Key Takeaways - Smile Delta’s essence is **spot-vol covariance + smile shape**, unrelated to classical BS Vanna. - The popular “Vanna = Smile Delta” shorthand is convenient market talk but **technically inaccurate**. - Real trading desks have long moved beyond pure BS Greeks precisely because BS Vanna alone cannot capture actual vol-surface behavior. **Conclusion**: The terminology is misleading. Vega*∂Sigma/∂F and Vanna explain different objects and should not be conflated.

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Alex Wu
Alex Wu@StochAlex07·
According to Stochastic Volatility Modeling by Lorenzo Bergomi, β=1 SABR theta decomposition is the key to decouple volatility risk premium into 3 dimensions: atm vol, skew, convexity.
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Jeff Liang@JeffLia12309881

和公司Quant Alex @Vladimir114514 讨论SABR Theta vs Spot Theta+Cross Theta+Vol Theta的差异。 附上英语浓缩,方便英语读者。 English Summary (Compressed) The chat discusses the key differences between SABR Theta and the granular Spot Theta + Vol Theta + Cross Theta in the SABR model, mainly for P&L attribution and risk management. Main Points: Relationship: SABR Theta − SABR Gamma ≈ Spot Theta + Vol Theta + Cross Theta − Spot Gamma − Volga − Vanna. They are mathematically related but not the same. Definitions: SABR Theta (dC/dt): Directly calculated from Hagan’s implied volatility approximation formula (closed-form). Spot + Vol + Cross Theta: Derived from the SABR PDE, offering a detailed 3-dimensional time decay breakdown. Key Differences: SABR Theta is a quick, formula-based total theta. Spot/Vol/Cross Theta is PDE-consistent and provides better economic interpretability. SABR Theta does not explicitly separate certain cross terms (e.g. ∂B/∂σ × ∂σ_imp/∂τ). Practical Usage: Current P&L systems require Spot + Vol + Cross Theta for full 3D risk explanation. Using pure SABR Theta + SABR Gamma reverts to Hagan’s original simpler framework (“another story”). With SABR Theta, time decay is largely absorbed into the gamma/theta pair. Conclusion: SABR Theta is a convenient approximation, while Spot + Vol + Cross Theta is preferred for precise, granular P&L attribution. They serve different analytical needs.

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Alex Wu
Alex Wu@StochAlex07·
@JeffLia12309881 According to Stochastic Volatility Modeling by Lorenzo Bergomi, β=1 SABR theta decomposition is the key to decouple volatility risk premium into 3 dimensions: atm vol, skew, convexity.
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Jeff Liang
Jeff Liang@JeffLia12309881·
和公司Quant Alex @Vladimir114514 讨论SABR Theta vs Spot Theta+Cross Theta+Vol Theta的差异。 附上英语浓缩,方便英语读者。 English Summary (Compressed) The chat discusses the key differences between SABR Theta and the granular Spot Theta + Vol Theta + Cross Theta in the SABR model, mainly for P&L attribution and risk management. Main Points: Relationship: SABR Theta − SABR Gamma ≈ Spot Theta + Vol Theta + Cross Theta − Spot Gamma − Volga − Vanna. They are mathematically related but not the same. Definitions: SABR Theta (dC/dt): Directly calculated from Hagan’s implied volatility approximation formula (closed-form). Spot + Vol + Cross Theta: Derived from the SABR PDE, offering a detailed 3-dimensional time decay breakdown. Key Differences: SABR Theta is a quick, formula-based total theta. Spot/Vol/Cross Theta is PDE-consistent and provides better economic interpretability. SABR Theta does not explicitly separate certain cross terms (e.g. ∂B/∂σ × ∂σ_imp/∂τ). Practical Usage: Current P&L systems require Spot + Vol + Cross Theta for full 3D risk explanation. Using pure SABR Theta + SABR Gamma reverts to Hagan’s original simpler framework (“another story”). With SABR Theta, time decay is largely absorbed into the gamma/theta pair. Conclusion: SABR Theta is a convenient approximation, while Spot + Vol + Cross Theta is preferred for precise, granular P&L attribution. They serve different analytical needs.
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Alex Wu
Alex Wu@StochAlex07·
@JeffLia12309881 对波动率曲面各维度risk premium的正确推导与数学近似,以及完善的工程实现,是波动率套利的坚实保障👍
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Jeff Liang
Jeff Liang@JeffLia12309881·
和公司的Quant Alex @Vladimir114514 探讨Sepp 2014 workshop的RR PnL建模。
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Vela
Vela@QuantVela·
做市预测市场最头疼的两大难题,如何定价?如何对冲风险?在这篇论文里得到了解决方案🤯 就像期权,预测市场也需要自己的 Black-Scholes 定价模型。当我们交易的不是代币,而是信念,要如何定价概率?@DaedalusRsch 提出了信念波动率曲面。 预测市场做市的盈利来自于 bid ask 之间的 spread、以及 @Polymarket 提供的流动性奖励, 成本来自于毒订单、库存风险、跳跃风险和对冲成本。 • 🔵如何定价:从混乱到精准 在对数几率空间内运行 Avellaneda-Stoikov 做市算法,计算出最优报价。不再凭直觉定价,而是系统化的建模。 • 🔵如何对冲风险:三种核心策略 1. 日历价差。用同一事件的不同截止日期来对冲。近期买No、远期买Yes。 事件近期发生 → 远期腿盈利 事件远期发生 → 双腿都大赚 事件不发生 → 近期腿盈利 2. 跨事件对冲 如果你持有事件 i 的风险,你可以通过反向操作具有高相关性的事件 j 来抵消大部分波动 3. 精细化风险控制 - 聚焦摇摆区间:在价格摇摆区 p∈[0.35,0.65] 才进行对冲,而不必为价格已经接近 0 或 1 的安全区间支付多余的保费 - 毒性过滤器:监测订单流是否严重失衡,若出现毒性迹象,立即拓宽价差或撤单 - 新闻护盾:在已知的重大新闻发布前夕,调高风险厌恶系数 γ,提前防御价格跳跃 正如 Black-Scholes 让期权市场成熟,这套框架可能正是预测市场走向规模化做市的关键一步。
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归零的人: 明日香女神大人&芷若姊姊的死舔狗
@JeffLia12309881 it’s almost impossible to fit mkt vol surfaces by jointly assuming spot vol dynamics with diffusions only based on which one can run mc for pricing various payoffs bad performance is because the front end skew is mostly pricing jump risk instead of spot vol correlation
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