Vol-surface visualizer shared
A recent Python script visualizes a MixVol-style implied volatility surface with forward log-moneyness, maturity, skew and curvature, using matplotlib and gradient coloring for quant analysis shared. It’s a tight example of combining forward variables and visual diagnostics for options-modeling sanity checks.
The visualizer was shared from the X account iMATTHEWRYAN, an identity that links to a GitHub handle "imatthewryan" on the code platform. github.com The same account maintains a Substack with roughly 1.8K subscribers under the handle @imatthewryan. substack.com The code’s coordinate choice—forward log‑moneyness k = ln(K/F)—matches standard practice in SVI/SSVI literature, as laid out in the eSSVI whitepaper’s definition of log forward moneyness. assets.ctfassets.net The plotting relies on Matplotlib 3D/colormap features for gradient shading, consistent with Matplotlib’s surface and colormap tooling. matplotlib.org The visualizer surfaces explicit skew and curvature diagnostics, which align with practitioner checks for butterfly convexity and calendar monotonicity; open repos such as drewverzino/option-density-viz implement these no‑arbitrage diagnostics in their IV‑surface pipelines. github.com Comparable open‑source and production tools use the same stack—interactive Streamlit/Matplotlib frontends plus SVI smoothing—examples include FlashAlpha’s vol‑surface viewer and the production‑grade volsurf library for SVI/SSVI fitting and fast vol queries. flashalpha.com
