Tesla (TSLA) vs S&P 500
Live side-by-side comparison with current values, changes, and key statistics.
Why This Comparison Matters
Tesla is the most retail-flow-sensitive mega cap. Its relative performance versus SPY reveals both EV adoption dynamics and broader speculative risk appetite. Tesla outperformance often coincides with risk-on regimes and improving EV margins. Extended underperformance typically reflects pricing pressure, delivery misses, or fading retail enthusiasm.
Cross-Asset Analysis
Tesla (TSLA) measures tesla Inc., electric vehicle and energy company, high retail sentiment indicator, while S&P 500 ETF (SPY) measures SPDR S&P 500 ETF, tracks the benchmark US equity index; tracking the two side by side turns that distinction into a tradable signal for the cross asset pair relationship. Watching Tesla (TSLA) together with S&P 500 ETF (SPY) provides insight into how macro factors propagate across different parts of the global market structure. In risk-on periods, correlations across asset classes settle toward fair values, and the Tesla (TSLA)-S&P 500 ETF (SPY) spread typically obey its historical fair value.
Cross-asset flows track macro regime changes with typical lags, which is why spreads like Tesla (TSLA)-S&P 500 ETF (SPY) often front-run coincident indicators. Tesla (TSLA) and S&P 500 ETF (SPY) sit in different asset classes, and the relationship between them captures cross-asset macro dynamics that neither alone can articulate. Macro funds use the Tesla (TSLA)-S&P 500 ETF (SPY) spread to implement views cleaner than single-asset trades, isolating the particular macro factor they want to bet on.
Structural shifts reshaping Tesla (TSLA) or S&P 500 ETF (SPY), including retail demand or regulatory changes, can structurally reshape the relationship. Tactical allocators reposition across the Tesla (TSLA)-S&P 500 ETF (SPY) spread based on where each asset sits relative to its theoretical anchor.
90-Day Statistics
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Frequently Asked Questions
What is the relationship between Tesla (TSLA) and S&P 500 ETF (SPY)?+
Tesla (TSLA) and S&P 500 ETF (SPY) are connected through shared macro drivers across asset classes. When the dominant macro driver shifts, both respond, though with different sensitivities and at different speeds. The spread between Tesla (TSLA) and S&P 500 ETF (SPY) captures the specific macro signal that flows through this relationship.
When does Tesla (TSLA) typically lead S&P 500 ETF (SPY)?+
Tesla (TSLA) tends to lead S&P 500 ETF (SPY) during macro regime changes, where the more liquid asset moves first. In those periods, moves in Tesla (TSLA) precede corresponding moves in S&P 500 ETF (SPY) by days to weeks, depending on the transmission channel and the depth of each market.
How are Tesla (TSLA) and S&P 500 ETF (SPY) historically correlated?+
Long-run correlation between Tesla (TSLA) and S&P 500 ETF (SPY) varies by regime. Cross-asset correlations vary by regime, tending to tighten in stress and loosen during normal conditions. The correlation is not stable: it shifts with macro conditions, and the periods when it breaks down are often the most informative moments in the Tesla (TSLA)-S&P 500 ETF (SPY) relationship.
What macro conditions drive divergence between Tesla (TSLA) and S&P 500 ETF (SPY)?+
Divergence between Tesla (TSLA) and S&P 500 ETF (SPY) typically arises from idiosyncratic shocks in one asset, policy interventions, or structural shifts in demand. When one asset's idiosyncratic drivers dominate, the spread moves in ways that the common macro story does not predict, which is usually a signal to look more carefully at the specific drivers at work in Tesla (TSLA) or S&P 500 ETF (SPY).
Is Tesla (TSLA) a hedge for S&P 500 ETF (SPY)?+
Cross-asset hedges between Tesla (TSLA) and S&P 500 ETF (SPY) work when the macro drivers of the two assets are sufficiently decorrelated, which depends on the regime and therefore needs to be reviewed as conditions change. Effective hedging requires matching the hedge to the specific risk being protected, and the Tesla (TSLA)-S&P 500 ETF (SPY) pair is best stress-tested under scenarios the investor most worries about before being sized into a real portfolio.
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Data sourced from FRED, CoinGecko, CBOE, and other providers. This page is for informational purposes only and does not constitute financial advice. Past performance does not guarantee future results.