Backtest Performance - Risk Managed (Long Only) Strategy
60.24%
1.28
-45.08%
0.61
44.99%
0.15

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.

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0.24
1.28
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0.01
0.05
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BTC Price with Exchange Outflow

Factor Plot

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

Predictive Strength

Reliable

Exchange Outflows measures the flow of digital assets out of trading venues by tracking the volume of transfers from exchanges to external wallets. Empirical analysis reveals that Exchange outflows directly reduce the liquid supply available for immediate selling.

The act of transferring digital assets to cold storage reflects a strategic shift from speculative trading to long-term holding — a behavioral marker of investor confidence. This combination of reduced supply and increased hinvestor confidence can mainfest itself in upward price movements over a longer time frame, by contrast, a sharp increase in inflows is often interpreted as a prelude to selling pressure and downward price adjustments.

Potential Edge

Supply Scarcity Dynamics

Large outflows directly reduce the liquid supply of assets on exchanges, creating scarcity that amplifies upward price pressure when demand rises. Reduced liquidity also increases volatility, allowing smaller buy orders to trigger outsized price moves.

Behavioral Signal of Long-Term Conviction

Outflows reflect a shift from speculative trading to custodial holding, signaling investor confidence in future appreciation. This "HODLing" behavior reduces immediate sell pressure, creating a structural imbalance favoring buyers.

Whale Activity as a Leading Catalyst

Large outflows often involve whales (entities holding > $10m), whose moves disproportionately impact markets. Whale-driven outflows create reflexive buying opportunities as retail traders interpret them as bullish signals.

Data Collection Methodology

Exchange outflow is produced by our blockchain analytics infrastructure, tracking blockchain transactions from exchange wallets to external addresses, identifying withdrawals as outflows. The data is normalized against historical averages to contextualize current outflow activity relative to past trends.

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Scatter plot - Exchange Outflow and BTC 30 and 90 Day Average Returns

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