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浮生若梦醒

@theoent

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When constructing an encrypted asset factor investment model, the most predictive factors typically include: 1. **Momentum**: Recent price trends often persist in crypto markets. 2. **Liquidity**: Low-liquidity tokens tend to have higher volatility and risk premiums. 3. **Volatility**: Historical volatility helps capture risk-adjusted returns. 4. **On-Chain Metrics**: Active addresses, transaction volume, and network growth signal adoption. 5. **Sentiment**: Social media and news sentiment impact short-term price movements. 6. **Size**: Smaller-cap tokens often outperform but with higher risk. 7. **Carry**: Staking yields or funding rates in futures markets can predict returns. Combining these factors with machine learning or portfolio optimization enhances robustness. Backtesting and adjusting for crypto-specific risks (e.g., regulatory shocks) are critical. (Word count: 110)
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