ETH Strong Rebound: Moving Average Breakout Strategy Yields 127% Annualized Returns

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Introduction

This bi-weekly quantitative report (April 25 to May 12) analyzes Bitcoin and Ethereum market trends using key indicators like long/short ratios, open interest, and funding rates. The quantitative section explores the "Moving Average Dense Breakout Strategy" for ETH/USDT, detailing its logic, signal mechanisms, and robust performance in trend identification and risk management.

Key Takeaways

Market Overview

1. Bitcoin vs. Ethereum Price Volatility

From mid-April to early May:

Volatility Insights:

👉 Track live ETH/USDT volatility

2. Long/Short Ratio (LSR) Analysis

3. Open Interest Trends

4. Funding Rates

Both assets maintained near-zero rates, briefly turning negative in mid-April. Gradual positivity to 0.01% indicated cautious optimism without overleveraging.

5. Liquidation Patterns

Quantitative Analysis: Moving Average Dense Breakout Strategy

1. Strategy Overview

This momentum strategy identifies trend initiations when:

  1. Short-/mid-term MAs (SMA20–120, EMA20–120) converge within 1.5% of price.
  2. Price breaks the MA cluster’s highest/lowest line (bull/bear signal).

Key Features:

2. Core Parameters

ParameterValue
MA Convergence≤1.4%
Take-Profit Ratio10x
Max Drawdown<15%

3. Entry/Exit Conditions

Entry:

Exit:

👉 Explore ETH trading strategies

4. Backtest Results (May 2024–May 2025)

5. Strategy Summary

Best-performing parameters:

Key Insights:

Conclusion

April–May 2025 revealed:

FAQ

Q: Why did ETH outperform BTC?
A: ETH’s Pectra upgrade hype and catch-up demand drove its 60% surge vs. BTC’s 34%.

Q: How does the MA strategy avoid whipsaws?
A: The 1.4% MA convergence filter ensures only high-probability breakouts are traded.

Q: What’s the biggest risk?
A: Extreme volatility events (e.g., May 12 long squeeze) may trigger stop-losses prematurely.