‹Home › Learn › Glossary › Long-Short Equity Strategies in Crypto
Updated May 2026 — NYXANCE Glossary
Long-short equity is a hedge fund strategy transplanted from traditional equities into crypto markets. The core premise: identify assets likely to outperform (go long) and assets likely to underperform (go short), pairing them to profit from relative performance rather than absolute market direction.
When applied to crypto perpetuals, long-short equity allows traders to take a view on which tokens will outperform which — even when the entire market is falling.
A classic long-short equity book consists of two legs:
Long book: Assets you believe will appreciate (or at least hold value relative to peers) Short book: Assets you believe will decline (or underperform the long book)
The books are sized to achieve a target net exposure (typically low, such as 20–30% net long) and a specific gross exposure (the total of both long and short book sizes).
Portfolio manager thesis: Layer 1 blockchains with active developer ecosystems will outperform Layer 1 blockchains with declining metrics.
If the market falls 20%, but SOL falls 15% and AVAX falls 28%:
| Term | Meaning | Example |
|---|---|---|
| Gross Long | Sum of all long notional | $80,000 |
| Gross Short | Sum of all short notional | $60,000 |
| Gross Exposure | Long + Short | $140,000 |
| Net Exposure | Long - Short | +$20,000 |
| Net Exposure % | Net / Gross Long | +25% (net long) |
A 25% net long book is tilted slightly long — it will make money in a market rally and lose somewhat in a decline, but the short book cushions the fall.
A market-neutral book targets 0% net exposure. A dedicated short book runs negative net exposure.
Unlike equities where earnings quality, management, and balance sheet drive relative performance, crypto long-short alpha derives from:
On-chain fundamentals:
Narrative positioning:
Technical factors:
Crypto assets are highly correlated during market stress events (correlations spike toward 1.0). A long-short book that is perfectly balanced in normal conditions can become heavily net short or long during a market crash as correlations compress.
Mitigation: Stress-test the book assuming 0.9 correlation between all assets. Size to survive this scenario.
Small-cap altcoin perps may have insufficient liquidity to enter/exit quickly. A short position on a low-OI contract can become impossible to close during a short squeeze.
Mitigation: Limit position sizes to a fraction of average daily volume. Focus on liquid perp markets (BTC, ETH, top 20 tokens by OI).
Short perp positions pay (or receive) funding. In a bull market, shorts pay significant funding — this is a continuous cost that erodes alpha.
Mitigation: Account for expected funding costs in your thesis. If you're short an asset at 0.05%/8h positive funding, you need the short to appreciate (decline in price) by more than the cumulative funding paid to break even.
| Feature | Pure Long | Long-Short |
|---|---|---|
| Return in bull market | High | Moderate |
| Return in bear market | Negative | Can be positive |
| Volatility | High | Lower |
| Skill required | Lower | Higher |
| Capital efficiency | High | Moderate |
Long-short is not strictly better — it sacrifices upside in sustained bull runs in exchange for downside protection and smoother returns. For traders managing significant capital who need consistent year-round performance, it is often superior.
Running a long-short book on NYXANCE is simplified by our multi-contract dashboard, which shows net exposure, funding cost, and margin utilization across all open positions. Get started.
Read more: nyxance.com/learn | Trade now: nyxance.com
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