Predictive Strength

Negligible
Ethereum historically had 5.18% 30 days returns when Stablecoin Supply Ratio was▆ Moderate (0.4 - 0.6). It indicates average expected returns.
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ETH Price with Stablecoin Supply Ratio

Factor Plot

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▆ Very Low▆ Low▆ Moderate▆ High▆ Very High

Predictive Strength

Negligible

Measures the ratio of stablecoin supply to Bitcoin market capitalization.

Potential Edge

Direct Proxy for Liquidity Flows

SSR acts as a real-time gauge of stablecoins' "dry powder" relative to Bitcoin's market size. When SSR falls (stablecoin supply rises faster than BTC's market cap), it signals latent buying power that historically precedes upward BTC price movements. For example, the SSR's drop to -2.27 in September 2024 preceded Bitcoin's rally to $64K by Q1 2025. This liquidity-driven relationship bypasses speculative noise, focusing on capital actually positioned to enter markets.

Stablecoin Minting as Predictive Factor

New stablecoin issuance (e.g., USDT's $15B expansion since October 2023) often precedes BTC accumulation phases. Institutions and whales mint stablecoins to park fiat equivalents before deploying into risk assets. The 10.9% stablecoin supply growth in early 2025 – reversing a 2024 contraction – aligned with Bitcoin's breakout above $70K.

Data Collection Methodology

The Stablecoin Supply Ratio (SSR) is calculated by dividing Bitcoin's market capitalization by the aggregate market cap of all stablecoins, using real-time data from exchanges and on-chain metrics. This raw ratio is then normalized against historical averages through statistical methods.

Read more about our methodology

Track this predictive factor on your dashboard

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Scatter plot - Stablecoin Supply Ratio and ETH 30 and 90 Day Average Returns

Backtest - Strategy Performance

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To understand a predictive factors predictive power, we create a simple long/short strategy and simulate its past performance (with daily rebalancing):

  • 100% Long when the predictive factor is close to 1, with a position size equivalent to the predictive factor value.
  • Flat when the predictive factor is close to 0, with a position size equivalent to the predictive factor value.

The strategy is rebalanced daily, on a continuous basis. There are 0.5% transaction costs applied on each position adjustment.

API

Get started by validating the historical performance of the strategy with our transparent code snippets.
Copy and paste the code snippets below into your Python environment or download the files below.

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Our Methodology