Predictive Strength

Negligible
Bitcoin historically had 23.64% 30 days returns when Futures Premium (CME) was▆ Very High (0.8 - 1). It indicates higher than average expected returns.
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BTC Price with Futures Premium (CME)

Factor Plot

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

Predictive Strength

Negligible

Futures (CME) Premium Index measures the difference between the price of Bitcoin futures contracts on CME, and the spot price. The index provides insights into market sentiment and institutional demand. The index is normalized using a wide range of lookback windows in order to be easily modelable and interpretable.

Potential Edge

Institutional Sentiment Barometer

CME's regulated environment and large contract sizes ($125k+/contract) make it the primary venue for institutional players rather than retail traders. When CME futures trade at sustained premiums (contango), it signals sophisticated money positioning for upside - a notable divergence from 2022's backwardation periods that preceded bear markets.

Data Collection Methodology

The Futures Premium (CME) is calculated by comparing CME Bitcoin futures prices (cash-settled to the CME CF Bitcoin Reference Rate) against real-time spot prices from constituent exchanges. The premium measures the difference between these two prices, reflecting market expectations and arbitrage opportunities. The index normalizes this premium relative to historical averages to provide a standardized measure of market sentiment and institutional demand.

Read more about our methodology

Track this predictive factor on your dashboard

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Scatter plot - Futures Premium (CME) and BTC 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