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EPISODE · Jun 9, 2026 · 5 MIN

VolRadar: Smarter Options Analytics for Premium Sellers

from News Round Podcast · host Chloe Parker

In this episode of VolRadar, we explore how options traders can move beyond guesswork and use smarter data to find higher-quality premium-selling opportunities. Selling options premium is not just about collecting income from calls, puts, credit spreads, iron condors, or strangles. It is about knowing whether the premium offered is actually worth the risk.This episode breaks down the role of options analytics for premium sellers and explains how traders can evaluate implied volatility, probability of profit, option Greeks, liquidity, expected move, breakeven points, and risk-reward before entering a trade. We also discuss why relying only on premium amount can be misleading, especially around earnings, major market events, or high-volatility setups.Listeners will learn how an IV rank screener can help identify stocks and ETFs where options may be priced richly compared to their historical volatility range. We also look at how an implied volatility screener can support better trade selection by helping premium sellers compare opportunities more objectively.Whether you sell covered calls, cash-secured puts, spreads, iron condors, or use the wheel strategy, VolRadar helps you think like a more disciplined, data-driven trader. Tune in to learn how better analytics can help you avoid low-quality trades, manage risk more effectively, and build a smarter premium-selling workflow.

Episode metadata supplied by the publisher feed · Published Jun 9, 2026

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In this episode of VolRadar, we explore how options traders can move beyond guesswork and use smarter data to find higher-quality premium-selling opportunities. Selling options premium is not just about collecting income from calls, puts, credit spreads, iron condors, or strangles. It is about knowing whether the premium offered is actually worth the risk. This episode breaks down the role of options analytics for premium sellers and explains how traders can evaluate implied volatility, proba...

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