ProShares Ultra Solana ETF (SLON) — Stock Correlations & Overview
Over the past year, SLON has moved most closely with SOLT, SOLZ, SSK. Explore the stocks most correlated and inversely correlated with SLON below, along with its price, financials, and company profile.
Stocks correlated with SLON
Correlation of daily returns. Higher positive values move with SLON; negative values move opposite it. Informational only, not investment advice.
Most correlated with SLON
| Symbol | Company | Correlation |
|---|---|---|
| SOLT | 2x Solana ETF | 1.00 |
| SOLZ | Solana ETF | 1.00 |
| SSK | REX-Osprey SOL + Staking ETF | 0.98 |
| GSOL | Grayscale Solana Staking ETF SharesCOMMODITY CONTRACTS BROKERS & DEALERS | 0.97 |
| NCIQ | Hashdex Nasdaq CME Crypto Index ETF Shares of Beneficial InterestCOMMODITY CONTRACTS BROKERS & DEALERS | 0.90 |
Frequently asked questions about SLON correlations
- Which stocks are most correlated with SLON?
- Based on one year of daily returns, the stocks most correlated with ProShares Ultra Solana ETF (SLON) are SOLT (1.00), SOLZ (1.00) and SSK (0.98). A correlation near 1.00 means the two stocks' daily moves have tracked each other closely over the period.
- Which stocks are inversely correlated with SLON?
- Over the past year, the stocks most inversely correlated with ProShares Ultra Solana ETF (SLON) are BTCZ (-0.87), SBIT (-0.87) and SETH (-0.87). A negative correlation means the two stocks have tended to move in opposite directions.
- What does a correlation of 0.8 mean for a stock?
- Correlation measures how closely two stocks' daily returns move together, on a scale from -1 to 1. At 0.8, the two stocks have moved in the same direction on most days — though not by identical amounts. A value near 0 means their moves have been unrelated, and a negative value means they have tended to move in opposite directions. Correlation reflects past behavior and can change over time.
- How are these SLON correlations calculated?
- We compute the correlation of daily returns between SLON and roughly 9,000 other US-listed stocks and ETFs over the trailing one-year window, then rank the strongest positive and negative relationships. The data is refreshed monthly. It is informational and educational only — not investment advice.
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