Bonk

ナラティブの現状: Bonk is trading at $0.00000439 after a 30-day move of -37.3%. As a memecoin, Bonk's price action is dominated by attention dynamics and social-media flow, not by the kind of utility metrics that drive fundamentally-anchored crypto assets.

流動性とリスク: Realized 30-day volatility sits at 155% annualized — multiples higher than top-10 crypto assets. The asset has sold off 37.3% over the past 30 days, illustrating the magnitude of moves typical for this asset class. Position-sizing should reflect the risk of single-day moves above 20%, which are not unusual for memecoins under attention waves.

注目ポイント: Holder concentration shifts (large wallets quietly accumulating or distributing), exchange flows (especially deposits suggesting upcoming sells), and the social-media volume trajectory. Memecoins move on narrative, and the narrative leaves footprints before it shows up in the price.

Beyond Bitcoin, BONK'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: +0.41 — a moderate positive relationship.
• Ethereum reference: +0.47 — a moderate positive relationship.
• Solana reference: +0.47 — 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.

Bonk (BONK) is グローバルなデジタル資産市場で取引される暗号通貨. It trades at $0.00000439 as of the latest update, with a 24-hour move up 3.78%, placing it at rank #108 by market capitalisation among all listed digital assets. Bonk's current market cap stands at $390.11M, a figure used by traders, analysts and institutional desks to gauge relative liquidity and risk exposure across the crypto market.

このページには、毎日更新されるライブダッシュボードがあり、Bonkを複数のデータソースで追跡しています — 数年遡る価格履歴、利用可能な場合のオンチェーン活動、流通供給量と希薄化などのファンダメンタルズ、取引量別トップ取引所、移動平均線とRSIによるテクニカル分析、そしてアルゴリズムによる短期・中期・長期予測。すべての数値は公開APIから取得され、ローカルにキャッシュされています。投資助言ではありません。

Bonk is a memecoin — a cryptocurrency whose primary value driver is cultural and narrative rather than utility. Memecoins have repeatedly demonstrated the ability to generate outsized returns during attention waves, and equally outsized drawdowns when attention shifts elsewhere. They are a distinct asset category and should be evaluated by different criteria than utility tokens or layer-1 chains.

Bonk (BONK) はミームコインです：通常、Ethereum上のERC-20またはSolana上のSPLトークンで、背後にプロトコルレベルの技術はほとんどありません。通常、新しいコンセンサスメカニズム、スマートコントラクトプラットフォーム、または重要なオンチェーンユーティリティはありません。価値はコミュニティ、ナラティブ、注目、そしてミーム自体を推進する社会的調整ダイナミクスから生まれます。

Memecoins typically have very high concentration on a small number of wallets — sometimes deliberate, sometimes the consequence of early-stage organic adoption. This means price action is dominated by holder behavior at the top of the distribution, not by network fundamentals.

Bonk is primarily used for speculation, community participation, and — in some cases (notably DOGE) — tipping and small payments. Most memecoins do not have significant non-speculative use cases by design. The token is the meme, and the meme is the network effect.

Bonk'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 +0.41, BONK'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 Bonk 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, BONK tends to follow; when they contract, the relationship typically reverses.

Memecoins carry materially elevated risk versus other crypto assets. Specific concerns: extreme volatility (50–90% drawdowns are not unusual), high holder concentration (large wallets can move price decisively), narrative dependence (when the meme fades, the price fades), pump-and-dump dynamics (especially in newer launches), and a rug-pull-adjacent history of similar tokens. Statistical forecast models perform poorly on memecoins because their price action is dominated by social-media and attention dynamics that those models do not capture. Position size accordingly.