Nvidia Earnings Test Crypto Risk Appetite

Record quarter beyond tech equity

On 20 May, Nvidia released its first-quarter results for fiscal year 2027. The company posted $81.6bn in revenue, up 85% on the previous year. The data centre segment, the true backbone of growth, reached $75.2bn, representing 92% of total revenue. The Q2 guidance, set at $91bn, exceeded a consensus that had already been revised upward multiple times in preceding weeks. This marks the fourteenth consecutive quarter of growth.

Beyond the raw performance, it is the broader significance of this release that warrants attention. For three years now, every Nvidia quarterly report has become an event scrutinized well beyond the semiconductor sector.

Why this result matters to crypto investors

The interest of digital asset investors in Nvidia has nothing to do with mining. Nvidia does not mine Bitcoin (BTC). It stems from an empirical observation. Several studies document a price correlation between NVDA and BTC exceeding 0.80 over certain windows of the past five years. The question every allocator must ask is this: does this coefficient reflect a genuine economic relationship, and do Nvidia's quarterly results actually influence Bitcoin's trajectory?

Two transmission channels support the hypothesis that they do.

The first is fundamental, through infrastructure. Nvidia has established itself as the global proxy for artificial intelligence infrastructure. Its GPUs power not only large language models, but also, through former miners that have repositioned as data center operators, such as Iris Energy (IREN), a company focused on Bitcoin mining and data center operations, Core Scientific (CORZ), another major Bitcoin mining and infrastructure firm, or Hut 8 (HUT), a digital asset mining and high-performance computing company, a growing share of blockchain-related workloads. An exceptional Nvidia result therefore demonstrates the infrastructure demand underpinning the listed mining ecosystem, and more structurally, Ethereum's (ETH) Layer 2 networks. Ethereum is a leading smart contract blockchain, and its Layer 2 solutions are scaling technologies that rely on Nvidia GPU compute power for zero-knowledge proofs, a cryptographic method that allows verification without revealing underlying data.

The second is behavioural, through risk-on sentiment. Nvidia and Bitcoin share a high beta to technological risk appetite. In this reading, a consensus beat from Nvidia acts as a positioning signal. The positive surprise feeds a risk-on sentiment that can spread across all speculative assets, crypto included. Symmetrically, disappointing guidance can signal a sentiment contraction across the entire ecosystem.

Decomposing the correlation

Over the past five years, the correlation calculated on price levels reaches values above 0.80. This figure is real and statistically certain (p ≈ 0, n = 1,256 observations).

(Source: TradingView)

However, this coefficient calls for a nuanced reading. The scatter plot reveals that observations progress from the lower-left corner, early in the period when both prices are low, to the upper-right corner, late in the period when both prices are high, following a near-linear trajectory with no random dispersion.

(Source: TradingView)

This pattern is the signature of a trend correlation, not a co-dependence correlation. Calculating the correlation on price levels amounts to measuring whether two assets share a common upward trajectory over the period, not whether their daily movements are linked. Two assets in simultaneous uptrends will mechanically produce a high coefficient, even if their daily variations are entirely independent. This is what econometricians refer to as spurious regression, a statistically significant result whose causal interpretation is misleading.

To measure whether Nvidia and Bitcoin genuinely move together on a daily basis, one must abandon price levels and analyze daily variations instead. Log-returns serve this purpose, eliminating the common upward trend and enabling a measurement of the effective co-dependence of daily movements. The relationship is directionally persistent but variable in intensity. Over the full period, the 90-day rolling correlation remains positive in 98% of cases, oscillating between -0.045 and 0.626. This directional persistence reflects a shared technological risk-on regime. Over the medium term, both assets structurally move in the same direction.

(Source: TradingView)

Over the full period, the correlation on log-returns stands at r = 0.32 (p < 0.001). This figure is positive and statistically significant, but modest. The coefficient of determination r² = 0.10 indicates that only 10% of Bitcoin's daily variation is shared with Nvidia. The remaining 90% is explained by factors specific to each asset, ETF flows, regulatory decisions, and leveraged position liquidations for Bitcoin; quarterly results, product roadmap, export restrictions for Nvidia.

The correlation between Nvidia and Bitcoin is therefore not a permanent and mechanical property of the two assets. It is strong when both assets share the same macroeconomic fuel, abundant liquidity, broad risk-on conditions, and a common technology narrative, and weak when each asset responds to its own idiosyncratic drivers.

Bitcoin reaction to earnings

To sharpen this reading, we measured the two-hour price change for both NVDA and BTC following the US market open on the day after each earnings release. This methodological choice is dictated by market microstructure. Nvidia reports after the US close, so its initial reaction forms in after-hours trading, in a reduced liquidity environment, while Bitcoin trades continuously. Waiting for the regular session to open allows for a fully liquid, comparable NVDA reaction.

(Source: TradingView and Nvidia Investor Relations)

The first insight is the structural nature of the beat-and-drop dynamic. Across the ten most recent earnings releases, Nvidia has systematically beaten revenue consensus, and yet the stock declined in the two hours following the open in 5 out of 10 instances, a phenomenon that appears to be intensifying over time. The 20 May release offers the most striking illustration. Despite results exceeding consensus, the stock retreated after the open. A quantitative beat is no longer sufficient to generate a positive reaction when expectations are already fully priced in.

Despite this counterintuitive stock dynamic, Bitcoin moved in the same direction as NVDA following the most recent release. More broadly, the two assets moved in the same direction in 8 out of 10 recent earnings releases, an 80% concordance rate, though Q4 FY2025 could reasonably be considered neutral for BTC. Bitcoin also tends to react with a more muted amplitude. This asymmetry is structurally coherent. Nvidia is the direct subject of the event, instantly repricing its growth expectations and valuation multiples, whereas for Bitcoin, Nvidia earnings represent just one signal among many within a much broader information set.

Conclusion

For a digital asset investor, Nvidia stands as a leading indicator of global technological risk-on sentiment, whose correlation with Bitcoin is established and whose quarterly releases represent a key monitoring point for the entire ecosystem, with a real price impact. One point, however, deserves emphasis. The crypto market is sensitive not to the absolute quality of Nvidia's results, but to their capacity to surprise sufficiently to sustain valuation multiples across the technology sector.

Treating NVDA as a systematic directional signal for Bitcoin would be a misreading. The relationship is cyclical and regime-dependent, not mechanical and daily. It is precisely in this distinction, between a regime signal and an execution signal, that the value of rigorous market analysis resides.