Predictive Strength

Significant
Bitcoin historically had 4.34% 30 days returns when Bitcoin / Gold Correlation was▆ Low (0.2 - 0.4). It indicates average expected returns.
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BTC Price with Bitcoin / Gold Correlation

Factor Plot

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

Predictive Strength

Significant

The Rolling Correlation between Bitcoin and Gold.

Potential Edge

Macro Hedge Signaling

The strengthened correlation aligns with rising recession fears and declining confidence in fiat currencies. As institutional investors increasingly treat Bitcoin as "digital gold," simultaneous flows into both assets during risk-off environments create a self-reinforcing pattern. This relationship has deepened since 2020, with gold now leading Bitcoin price movements by 65 days in long-term trends.

Maturity of Store-of-Value Narrative

The 87% correlation peak in March 2024 coincides with Bitcoin's ETF approval and suggests growing recognition of its inflation-hedge properties. Unlike 2017-2018 when Bitcoin showed negative correlation with gold, the current positive linkage reflects institutional adoption patterns that are likely to persist through market cycles.

Data Collection Methodology

The Bitcoin/Gold correlation is the rolling correlation coefficient (e.g., 30-day window) between the two assets, and is calculated to measure price movement alignment, then normalized against historical averages to contextualize relative strength.

Read more about our methodology

Track this predictive factor on your dashboard

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Scatter plot - Bitcoin / Gold Correlation and BTC 30 and 90 Day Average Returns

Backtest - Strategy Performance

35.82%
1.03
-48.63%
0.46
35.97%
0.05

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