Many traders focus mainly on price charts and indicators, but market movements are often driven by investor sentiment, especially, fear and uncertainty.
One way to observe this sentiment is through the CBOE Volatility Index, commonly known as the Fear Index. It reflects how much volatility investors expect in the market and provides insight into changing risk conditions.
In this course, traders will learn how volatility behaves during periods of fear and how it tends to stabilize over time, helping them better interpret market conditions beyond price alone.
Many trading decisions are made by looking only at price charts. However, price movements are often a reaction to changes in market sentiment, especially fear and uncertainty.
One way to observe these changes is through the CBOE Volatility Index, commonly known as the Fear Index. The VIX reflects the level of expected volatility in the market and provides insight into how investors perceive risk at a given time.
Understanding how volatility behaves can help traders better interpret market conditions. During periods of heightened fear, volatility tends to rise sharply, while more stable environments are usually accompanied by lower volatility. These shifts often occur alongside significant changes in market behavior.
This course introduces how volatility can be used as a contextual tool to better understand the market environment. Instead of relying only on price patterns, traders will learn how to observe the relationship between volatility and market movements, helping them approach trading decisions with greater awareness of underlying market conditions.
In early 2020, as the COVID-19 crisis began unfolding, we anticipated the market crash by monitoring the Fear Index (VIX) and its acceleration dynamics. Instead of reacting to headlines, we tracked how volatility expanded at an unusually rapid pace—an early signal that systemic risk was building. The sharp surge in VIX momentum indicated a shift from normal volatility to panic-driven pricing. This helped us identify the likelihood of a major market dislocation before the crash fully unfolded. By attending this course, you will learn techniques to anticipate and assess future market crises, whether caused by financial stress, pandemics, or geopolitical conflict. You will understand how to analyze volatility acceleration and market behavior during global uncertainty. These signals help distinguish temporary shocks from true systemic risk before the full impact appears. With this framework, you can evaluate crisis severity and position ahead of major market disruptions.
With over 15 years of experience in cross-asset trading, portfolio management and entrepreneurship.
He has been featured by several major media like  Business Times, Yahoo News, TechInAsia, etc., and invited as a panel speaker by various financial related institutions such as Singapore Stock Exchange, Indonesia Stock Exchange, Share Investors, etc., to give various insights on the how Artificial Intelligence and finance will shape the investment landscape.
Today Rein is managing prop trading fund and actively teaching retail investors and professional on systematic and quantitative trading approach. And he loves to share professional knowledge and experience on how to consistently profit from the stock market.
He started his career as a portfolio manager at Citigroup, holds degrees in Information Systems from LSE and AI from NTU, later gained a large following, and managed over $100 million in assets.
Enroll in this short course to learn which approach has historically given traders a better edge.
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