ADI

État actuel : ADI is trading at $0.000000 with a $0.0 billion market capitalization (rank #0). The price moved +0.00% over the past 24 hours and is +0.00% over 7 days; the 30-day move stands at +0.00% and the 90-day at +0.00%.

Position dans le cycle :

Volatilité et structure : 30-day realized volatility of —% annualized is not currently computable for an asset this size. Our composite multi-horizon Price Strength reads Neutral (50/100), with a mixed multi-horizon profile and no clear directional bias.

ADI (ADI) is une cryptomonnaie, négociée sur les marchés mondiaux d'actifs numériques. It trades at $0.00 as of the latest update, with a 24-hour move up 0.00%, placing it at rank #122 by market capitalisation among all listed digital assets. ADI's current market cap stands at $0.00, a figure used by traders, analysts and institutional desks to gauge relative liquidity and risk exposure across the crypto market.

Sur cette page, vous trouverez un tableau de bord en direct, actualisé quotidiennement, qui suit ADI à travers plusieurs sources de données — historique des cours sur plusieurs années, activité on-chain quand disponible, fondamentaux comme l'offre en circulation et la dilution, principales plateformes par volume, analyse technique avec moyennes mobiles et RSI, et une prévision algorithmique à court, moyen et long terme. Tous les chiffres proviennent d'APIs publiques et sont mis en cache localement ; rien ici n'est un conseil en investissement.

ADI is a smart-contract platform competing for developer attention and application activity. Its value depends on user adoption, developer ecosystem, and the unique trade-offs its consensus mechanism offers (typically a combination of throughput, decentralization, and finality).

ADI est une blockchain Couche-1 proof-of-stake : les validateurs stakent le token natif comme collatéral, proposent et attestent des blocs, et gagnent des récompenses de staking pour une participation honnête. Les validateurs malveillants ou négligents sont slashés. Le token natif sert de gas pour le calcul, de collatéral de staking et de gouvernance.

Primary use cases: hosting decentralized applications, native staking for yield, securing the network via validator participation, paying gas for transactions, and serving as base-layer collateral for DeFi protocols built on the chain.

ADI's tokenomics combine its supply schedule, current circulating supply, and the relationship between circulating market cap and fully-diluted valuation.

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.

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 ADI 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, ADI tends to follow; when they contract, the relationship typically reverses.

Specific risks: validator centralization, smart contract risk in the application layer, competitive pressure from rival L1s, regulatory uncertainty around staking rewards, MEV concerns, and reliance on continued developer and user adoption to maintain network value.