Part 1 Advanced The Market Maker’s Exchange Checklist (Liquidity, Latency, and Risk Controls) Market makers and HFT desks: evaluate exchanges on execution quality, liquidity, latency, fees, margin, and security — with a WhiteBIT walkthrough. Open guide Surges in market volatility pinned to autumn months
Data-driven insights unravel weekly and seasonal rhythms of equities market volatility.
Quick Take
An analysis of the CBOE Volatility Index (VIX), a critical market indicator often used to measure the market's expectation of future volatility, reveals intriguing patterns. The evaluation of average daily change in the VIX from 1990 to 2023 indicates a propensity for the index to dip markedly on Fridays, with Tuesdays trailing. This trend substantiates the existing theory of VIX compression on Fridays, adding empirical validation to this common market belief.
On a broader scale, a boxplot distribution of the average VIX index across each month of these years unveils seasonal tendencies. October and November, characterized by wider VIX distributions, are indicative of heightened variability. This observation reinforces the perception of these months being more prone to volatility. On the flip side, months such as May and June exhibit lower VIX averages, signaling periods of reduced volatility.
Interestingly, certain months like October spotlight outliers, suggesting instances when the VIX notably deviated from its typical range. This signifies years when volatility in the equities market reached exceptional highs or dipped to unusual lows.
These insights into the weekly and seasonal VIX patterns provide a data-driven lens to understand the rhythm of the equities market, a crucial aspect of strategic financial planning and decision-making.



















