# The Silver Lining of Daily Bitcoin Trading

> Strategy leveraging overnight silver returns to predict Bitcoin price movements, exhibiting lower drawdowns in a 10-year backtest with 68.65% annualized returns.

- Author: Eugene Pinsky, Siddhant Shah
- Published: 2025-06-01
- Canonical URL: https://siddhants.com/research/silver-bitcoin-trading/
- Published in: Technical Analysis of Stocks & Commodities 43(6): 20–22, 47, June 2025

## Abstract

Buy-and-hold of bitcoin is hard to achieve for many reasons, so a trading system may help. Here's a look at a simple trading strategy for bitcoin that references overnight silver returns to predict bitcoin 24-hour close-to-close returns. Find out how this strategy fared in a 10-year backtest.

## Motivation

The relationship between precious metals and cryptocurrency markets has been a subject of increasing interest. This study explores whether silver, as a traditional store of value, can provide predictive signals for Bitcoin trading.

## Methodology

### Cross-Asset Correlation Analysis
We analyzed the statistical relationship between overnight silver returns and subsequent Bitcoin price movements, identifying exploitable patterns in market microstructure.

### Strategy Implementation
- **Signal Generation**: Overnight silver return calculations
- **Entry/Exit Rules**: Systematic trading rules based on silver signals
- **Position Management**: Dynamic sizing based on signal strength
- **Risk Controls**: Maximum drawdown limits and volatility-adjusted positions

## Key Findings

- **Annualized Returns**: 68.65% over 10-year backtest period
- **Drawdown Reduction**: Significantly lower maximum drawdowns compared to buy-and-hold
- **Market Regime Performance**: Consistent performance across bull and bear markets
- **Risk-Adjusted Metrics**: Superior Sharpe and Sortino ratios

## Data and Backtesting

The strategy was backtested on 10 years of historical data, incorporating:
- Transaction costs and slippage
- Realistic execution assumptions
- Multiple market conditions

## Practical Considerations

Implementation details including:
- Data sources and timing
- Execution logistics
- Risk management protocols

## Conclusion

The research demonstrates that cross-asset signals from silver markets can provide valuable predictive information for Bitcoin trading. The strategy's lower drawdown profile makes it particularly attractive for risk-conscious traders.

## Publication Details

**Published in**: Technical Analysis of STOCKS & COMMODITIES (June 2025)
**Authors**: Shah, S., & Pinsky, E.

## Disclosure

The views expressed here are my own personal opinions. This is **not investment advice** and should not be relied upon as such. Nothing here is connected to, endorsed by, or written on behalf of Rosenblatt Securities.

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