Starknet

Estado actual: Starknet is trading at $0.033600 with a $0.3 billion market capitalization (rank #166). The price moved +5.99% over the past 24 hours and is -12.27% over 7 days; the 30-day move stands at -40.11% and the 90-day at -12.95%. Both long-term and short-term horizons are pointing the same direction down — historically the regime where forced selling and capitulation are most likely to be in their later stages.

Posición en el ciclo: The asset trades deep in the post-peak drawdown regime, more than 70% below its prior cycle high — typical of late-stage bear conditions or assets that have permanently re-rated lower.

Volatilidad y estructura: 30-day realized volatility of 80.6% annualized is high for an asset this size. Our composite multi-horizon Price Strength reads Weak (23/100), in a structurally weak regime with material losses across every meaningful horizon.

Beyond Bitcoin, STRK's 90-day return correlations to the other two largest layer-1 references help characterize whether the asset moves as part of a crypto-market beta complex or as something more idiosyncratic. The Pearson correlations across daily log returns:

• Bitcoin reference: +0.50 — a moderate positive relationship.
• Ethereum reference: +0.53 — a moderate positive relationship.
• Solana reference: +0.59 — a moderate positive relationship.

Strong correlation to multiple references typically indicates that the asset trades primarily as crypto-market beta — moves in BTC/ETH/SOL drive most of the price action, and stand-alone alpha is harder to capture. Weak or negative correlations indicate idiosyncratic drivers (project-specific news, sector rotation within crypto, or narrative shifts) that can produce returns uncorrelated with the broader market.

Starknet (STRK) is una criptomoneda, negociada en los mercados globales de activos digitales. It trades at $0.0336 as of the latest update, with a 24-hour move up 7.69%, placing it at rank #172 by market capitalisation among all listed digital assets. Starknet's current market cap stands at $336.00M, a figure used by traders, analysts and institutional desks to gauge relative liquidity and risk exposure across the crypto market.

En esta página encontrarás un panel en vivo, actualizado diariamente, que rastrea Starknet a través de múltiples fuentes de datos — historial de precios de varios años, actividad on-chain cuando está disponible, fundamentos como oferta circulante y dilución, principales exchanges por volumen, análisis técnico con medias móviles y RSI, y un pronóstico algorítmico a corto, medio y largo plazo. Todas las cifras provienen de APIs públicas y se almacenan localmente; nada de lo aquí publicado constituye asesoría de inversión.

Starknet is among the leading rollups settling to Ethereum, providing the cost-and-speed environment retail DeFi and applications increasingly demand. The L2 ecosystem has captured a meaningful share of Ethereum-equivalent transaction volume.

Starknet es un rollup de Capa-2 que escala Ethereum: ejecuta transacciones off-chain y publica datos comprimidos de transacciones (y/o pruebas de estado) de vuelta a Ethereum L1. Esto hereda la seguridad de Ethereum mientras entrega transacciones sustancialmente más baratas (típicamente 10-100× más baratas que L1).

Two main rollup categories: optimistic rollups assume transactions are valid and allow a challenge window for fraud proofs, while zk-rollups prove validity cryptographically. The native token typically pays for gas on the L2, secures sequencer auctions, and grants governance rights over upgrades.

Primary use cases: cheap DeFi (the L2 host of choice for high-frequency strategies), retail-friendly application UX (lower fees enable consumer use cases not viable on L1), bridge destinations for capital seeking cheaper execution, and the substrate for emerging L2-native applications.

Starknet's tokenomics combine its supply schedule, current circulating supply, and the relationship between circulating market cap and fully-diluted valuation. At over 99% of maximum supply issued, future issuance pressure is effectively zero — the supply curve is now flat, and value accrual must come from network adoption rather than from supply schedule mechanics.

For thesis-building, the relevant question is whether the structural value accrual mechanism (fee burns, staking yield reinvestment, deflationary supply mechanics, ecosystem TVL growth) outpaces the structural emission pressure. When it does, the price tends to grind higher over multi-quarter windows even without speculative momentum; when it does not, the asset typically requires consistent narrative-driven demand to absorb the issuance.

The macro backdrop for crypto assets in 2026 is dominated by the Federal Reserve's rate path, the trajectory of dollar liquidity, and the unwind (or non-unwind) of the post-2020 expansion in M2 money supply. Crypto assets — and Bitcoin in particular — have historically responded most strongly to changes in the global liquidity regime, with risk-on phases coinciding with falling real yields and a softening dollar, and risk-off phases the inverse. Given the 90-day BTC correlation of +0.50, STRK's near-term macro sensitivity will be similar to Bitcoin's — driven primarily by the same liquidity conditions and risk-asset flows.

The cross-asset relationships worth monitoring: the dollar index (DXY) — historically inversely correlated with crypto over longer windows; the 10-year Treasury yield — a proxy for the cost of risk capital; gold — which often shares "monetary hedge" framing with Bitcoin during certain regime changes; and the S&P 500 — which during liquidity-driven moves often rhymes with crypto despite the popular framing of crypto as uncorrelated.

For Starknet specifically, the macro variable that has empirically led price most often is global crypto-market liquidity — proxied by stablecoin total supply, futures open interest, and exchange volumes. When these expand, STRK tends to follow; when they contract, the relationship typically reverses.

Specific risks: sequencer centralization (most rollups currently rely on a single sequencer the operator runs), upgradeability (admin keys can change rollup behavior), fraud-proof or validity-proof reliance (the security model depends on these working in practice), and ecosystem fragmentation across competing L2s.