Understanding Seller Exhaustion
Crypto market analytics firm Glassnode Insights has introduced a new framework for assessing seller exhaustion across multiple timeframes. The framework, which uses Glassnode’s new Breakdown Metrics, allows for the discrete isolation of points of severe unrealized loss and investor capitulation.
During a bull market regime, long-term investors are generally highly profitable. Therefore, the dominant source of realized loss originates from the short-term holder cohort, which can provide information on inflection points during sell-off events.
The new framework profiles seller exhaustion across day trader and weekly-monthly investor cohorts. It uses on-chain metrics to assess both the unrealized and realized losses of the targeted investor classes as a gauge for their response to market downturns.
Establishing a Seller Exhaustion Framework
The framework is designed to identify inflection points during corrections and consolidations within a dominant bull trend. Seller Exhaustion is defined as a point of oversold conditions, where a majority of the sellers who are likely to sell, have done so. This can help establish a local bottom.
The framework uses three profit/loss metrics to establish the severity of the pressure investors are experiencing: MVRV Ratio, which assesses the unrealized profit or loss held by investors within the cohort; SOPR, which evaluates the average magnitude of profit or loss locked in by the cohort; and Realized Loss, which isolates the USD denominated magnitude loss locked in by the cohort.
Daily Traders and Weekly-Monthly Traders
The Daily Trader group is the fastest moving cohort, and the most sensitive to the spot price, reacting near instantaneously to any and all fluctuations in price action. The Weekly-Monthly traders, on the other hand, are less price sensitive than the Day Trader group, but are also more likely to experience volatility as the spot price fluctuates around their cost basis during their holding time.
The new metrics allow for a comprehensive analysis of these different cohorts, providing valuable insights into market dynamics and helping to identify periods of seller exhaustion.
Conclusions
On-chain data provides analysts and investors with a remarkable degree of transparency into the positioning, incentives, and actions of various market participants. The new breakdown metrics from Glassnode allow for the isolation of individual subsets of investors, helping to identify points of micro-capitulation that tend to accompany local market lows. This can help investors to better understand and predict market movements.
Disclaimer: This article does not provide any investment advice. All data is provided for information and educational purposes only. No investment decision shall be based on the information provided here and you are solely responsible for your own investment decisions.
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