Excess Returns
Excess Returns

Andrew Thrasher Schools Two Value Guys on Technical Analysis and Forecasting Volatility Tsunamis

In this episode we take a deep dive into technical analysis with Andrew Thrasher, founder of Thrasher Analytics and portfolio manager at the Financial Enhancement Group. We look at the major tools that technicians use and the methods they utilize to apply them. We go through a real world example usi

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Episode Summary

Executive Summary: Andrew Thrasher explains technical analysis as the study of price, supply, demand, momentum, breadth, and volatility, emphasizing that price confirmation should guide decisions. He outlines how he blends systematic and discretionary methods, uses breadth and drawdown data to assess market health, and argues that volatility compression often precedes spikes in the VIX.

Main Topics: Origin Story and Path to Technical Analysis: Thrasher describes moving from an initial interest in law to finance, getting hooked on markets through a student trading competition, and transitioning from fundamental analysis to technical analysis after repeatedly seeing valuation ignored by the market. Defining Technical Analysis as Price/Supply-Demand Analysis: He frames technical analysis as the study of price changes driven by supply and demand, with indicators serving as tools layered on top of that core concept rather than the definition itself. Market Tools: Trend, Moving Averages, Momentum, and Breadth: The discussion covers trend-following, moving averages, oscillators like RSI and MACD, and breadth measures such as percent of stocks above key moving averages and 52-week highs to assess participation and regime health. Using Drawdown and Breadth to Judge Market Health: Thrasher emphasizes drawdown statistics and market breadth as early warnings when a rally becomes narrow and fragile, with an index rising on the back of a few large names while most stocks weaken underneath. Systematic vs. Discretionary Process and Blending Fundamentals: He explains that his process is partly systematic (sector overlays and some sector/stock algorithms) and partly discretionary, and that he works with a CFA who brings fundamental analysis into the portfolio construction process. Sentiment, COT Data, and Behavioral Extremes: He uses sentiment surveys and Commitment of Traders data mainly at extremes, arguing that positioning and sentiment are most useful when they are stretched and can signal potential reversals. Volatility Tsunami Paper and VIX Compression: Thrasher summarizes his award-winning paper showing that volatility spikes are typically preceded by unusually compressed volatility, using VIX and VIX-of-VIX data as part of an environment-identification framework.

Key Arguments: Technical analysis works because price reflects actual supply and demand, not just story or valuation; buyers and sellers ultimately set the market. Momentum is a behavioral phenomenon: people are drawn to what others are already buying, which reinforces trends. Breadth matters because a healthy market needs broad participation; narrow leadership often precedes major declines. Drawdown analysis can reveal deterioration before the index itself breaks down, showing that many stocks may already be in correction even while the index is near highs. He prefers technicals as an environment and timing tool rather than a standalone forecast for exact tops or bottoms. Combining fundamentals with technicals improves decision-making: fundamentals help identify what to own, while technicals help decide when to buy or sell. Sentiment and positioning data are most useful at extremes, not in the middle of the range. Volatility compression is a recurring precondition for volatility spikes; the market becomes overconfident, then reprices violently when the pressure releases. Price confirmation is critical: investors should wait for the market to validate a thesis before acting. Systematic and discretionary approaches can coexist, with automation helping rank and screen while human judgment handles context and execution.

Data Points: RSI bullish regime threshold: roughly 45-50 - Thrasher says weekly RSI in this range has historically supported uptrends in the S&P 500. S&P 500 stocks above 200-day MA in early 2018: about 80% - Breadth weakened even while the index rose, preceding the Q4 2018 selloff. S&P 500 stocks above 200-day MA at late 2018 peak: about 68% - A breadth divergence emerged before the market corrected. S&P 500 stocks above 200-day MA after COVID crash: basically nothing - Breadth collapsed during the pandemic selloff. S&P 500 stocks above 200-day MA in 2021 recovery peak: over 95% - Thrasher cites this as very strong breadth before recent deterioration. Current S&P 500 stocks above 200-day MA: 70% - He notes the level has weakened but is not yet outright poor. Average stock drawdown at 2007 peak: about 8% - Used to show the average stock was already weakening before the financial crisis. Average stock drawdown in 2007-2008 bear market: over 47% - Illustrates how severe drawdowns became once the market broke. Average stock drawdown at late 2018 peak: about 9% - Showed deterioration despite the index making new highs. Average stock drawdown in COVID crash: about 40% - Broad internal damage during the pandemic selloff. Average stock drawdown in April 2021: about 4.5%-5% - He uses this as the recent low point in drawdowns before deterioration returned. Current average stock drawdown: 9.7%-10% - Indicates increasing internal weakness beneath the market. S&P 500 stocks down 20% or more: 14% - Shows a meaningful portion of the index already in bear-market territory beneath the surface. S&P 500 stocks down 10% or more: 34% - Indicates broad but uneven weakness despite the index remaining near highs. Consumer discretionary/communication average drawdown: 20% - One of the weakest sectors in his drawdown framework. Healthcare average drawdown: 11% - Sector internals have worsened recently. Consumer staples average drawdown: 10% - Also showing notable weakness. Real estate average drawdown: 4.5% - Cited as one of the healthier sectors. Financials average drawdown: 5% - Another relatively healthy sector in his examples. Market health report inputs: breadth, momentum, sentiment, volatility - He aggregates multiple technical inputs into a single market-health readout. VIX spike definition in paper: 35% increase over 10 days - His paper uses this threshold to classify a volatility spike. VIX compression lookback: 20 days - He used a roughly one-month lookback to identify unusually low dispersion. VIX current level mentioned: near 21 - He notes volatility was moving higher at the time of recording. Fund manager exposure index: above 100 - He says this indicates the average fund manager is leveraged long equities.

Pivotal Quotes: "I think technical analysis is just the evaluation of price." — Andrew Thrasher: His plain-language definition of technical analysis. "The only reason that something can go higher is because there's a lot of demand for it." — Andrew Thrasher: Explaining why momentum and trend-following can work. "Not every chart is one that's going to precede a crash. What this tells us... is kind of becoming more ripe for a move lower, but price hasn't acknowledged it yet." — Andrew Thrasher: Describing how breadth and drawdown are used as environment indicators rather than exact timing tools.

Implications: Listeners should view technical analysis as a disciplined way to read market behavior, not astrology or prediction. The key takeaway is to wait for price confirmation, monitor breadth and drawdowns for hidden weakness, and use volatility compression as a warning that risk may be building.

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About Excess Returns

Excess Returns is dedicated to making you a better long-term investor and making complex investing topics understandable. Join Jack Forehand, Justin Carbonneau and Matt Zeigler as they sit down with some of the most interesting names in finance to discuss topics like macroeconomics, value investing, factor investing, and more.

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