Pair Trading SOL and NVDA: Cross-Asset Mean Reversion

Pair trading typically pairs assets from the same class — two stocks, two cryptos. But what happens when you cross boundaries, pairing a cryptocurrency like Solana (SOL) with a tokenized equity like NVIDIA (NVDA)? The idea isn't as far-fetched as it sounds. Both are high-beta, growth-oriented assets that often react to similar macro narratives: tech sentiment, risk appetite, liquidity cycles. If their relative price moves in a mean-reverting fashion, you can trade the spread.

Why Cross-Asset Pairs?

Most pair traders stick within asset classes because cointegration is more likely when fundamentals overlap. But cross-asset pairs can offer unique diversification. SOL and NVDA, for example, are both driven by innovation narratives — one in blockchain infrastructure, the other in AI and GPUs. Their prices may diverge temporarily due to idiosyncratic shocks (e.g., a crypto exchange outage vs. an earnings beat), but over a medium horizon, they might revert to a common trend driven by tech sector flows.

Applying PairScan’s Methodology

Before trading any pair, you need to verify mean-reversion potential. PairScan uses three core filters:

• Hurst exponent < 0.5: Indicates mean-reverting behavior. For SOL/NVDA, compute the Hurst on the log-ratio series. If it's below 0.5, the spread tends to revert.
• ADF p-value < 0.05: Tests stationarity of the spread. A low p-value means the spread doesn't have a unit root — it's mean-reverting.
• Walk-forward backtest: No look-ahead bias. The strategy is tested on out-of-sample data using a rolling window.

If both conditions hold, you can define entry zones: bottom (short the spread), mid (neutral), top (long the spread). Position sizing should account for volatility differences — SOL is typically more volatile than NVDA, so hedge ratios need frequent recalibration.

Where This Fails

Cross-asset pairs are less likely to be cointegrated over long periods. Regulatory changes, hard forks (SOL), or sector rotations can break the relationship. The Hurst exponent may drift above 0.5 after a structural break. Also, trading costs matter: SOL has network fees, NVDA (as a tokenized stock) may have custody spreads. Backtest results can look good in-sample but fail out-of-sample because the relationship is spurious.

Practical Steps on PairScan

You can screen for cross-asset pairs on pairscan.io/screen. Select SOL and NVDA, then check the Hurst and ADF metrics. If they pass, look at the position-in-range zones on the pair page. PairScan updates these in real-time, so you can see where the current spread sits relative to its historical range. For a detailed explanation of the methodology, see pairscan.io/methodology.

Cross-asset pair trading isn't for everyone. It requires a higher tolerance for regime changes and a willingness to monitor the relationship dynamically. But if you find a pair that passes the stationarity tests, it can be a valuable addition to your toolkit. Start with the free tier on PairScan to explore.