Predictive Strength

Negligible
Binance Coin historically had 23.64% 30 days returns when Stablecoin Supply was▆ Very High (0.8 - 1). It indicates higher than average expected returns.
Unravel

unravel

BNB Price with Stablecoin Supply

Factor Plot

Unravel

unravel

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

Predictive Strength

Negligible

Stablecoin Supply measures the total supply of stablecoins across multiple blockchains. Stablecoins act as “dry powder” in crypto markets, quantifying latent demand. When investors hold them, they’re effectively parking cash in the ecosystem, ready to deploy. The relationship is straightforward: more stablecoins means more potential buying power for other crypto assets. When we see a growing supply of stablecoins—especially on exchanges—it signals that market participants are accumulating liquidity. They’re waiting, like buyers at a silent auction, for the right moment to enter the Bitcoin market.

Potential Edge

Quantifies Latent Spot Demand

Stablecoins act as "dry powder" parked in crypto's risk-off parking lot. The 10.9% YTD supply growth represents $20B+ in potential buying power waiting to rotate into Bitcoin and altcoins. Historical patterns show stablecoin accumulation phases (like Q4 2024's $23B surge) consistently precede BTC rallies, as seen in 2021's 177% stablecoin cap growth before the $69K ATH. This parked liquidity behaves like limit orders waiting execution.

Data Collection Methodology

Stablecoin supply data is sourced through on-chain analytics tracking mint/burn transactions across blockchains. Aggregated metrics are normalized against historical averages to create a relative index, with adjustments for inorganic activity (e.g., bot transactions).

Read more about our methodology

Track this predictive factor on your dashboard

Unravel

unravel

Scatter plot - Stablecoin Supply and BNB 30 and 90 Day Average Returns

Backtest - Strategy Performance

100.00%
1.00
100.00%
1.00
100.00%
1.00

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.

Ready to dive in?

Be among the first to experience the cutting-edge, institutional-grade predictive analytics Unravel offers.

Our Methodology