Quant

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Beyond Bitcoin, QNT'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: +0.16 — a minimal positive relationship.
• Ethereum reference: +0.11 — a minimal positive relationship.
• Solana reference: +0.16 — a minimal positive relationship.

High correlation across several references usually means the asset is mostly crypto-market beta: when BTC, ETH and SOL move, it moves too, and independent alpha is hard to find. Low or negative readings point to its own drivers — project-specific news, intra-crypto sector rotation or narrative shifts — that can decouple it from the broad market.

Quant (QNT) is a cryptocurrency, traded on global digital-asset markets. It trades at $252.09 as of the latest update, with a 24-hour move up 11.38%, placing it at rank #75 by market capitalisation among all listed digital assets. Quant's current market cap stands at $3.04B, a figure used by traders, analysts and institutional desks to gauge relative liquidity and risk exposure across the crypto market.

On this page you'll find a live, daily-refreshed dashboard tracking Quant across multiple data sources — price history going back several years, on-chain activity where available, fundamentals like circulating supply and dilution, top exchanges by volume, technical analysis using moving averages and RSI, and an algorithmic short, mid and long-term forecast. All figures are pulled from public APIs and cached locally; nothing here is investment advice.

Quant is an interoperability or bridge token: its network moves assets and messages between otherwise-separate blockchains, and the token secures, governs, or pays for that cross-chain activity.

Quant operates cross-chain infrastructure: validators, relayers, or a messaging protocol verify events on one chain and reproduce them on another, with the token used as collateral, governance, or fees. Because bridges concentrate value in transit, their security model is the single most important property — historically the most-exploited surface in all of crypto.

Quant is used to transfer tokens and arbitrary messages between chains, to provide liquidity to bridge routes, and to govern or secure the protocol. Its adoption tracks how much cross-chain activity flows through it relative to competing bridges.

The supply story for Quant comes down to three things: how tokens are issued over time, how many are circulating now, and how far the fully-diluted valuation sits above the circulating market cap. At 81.1% of maximum supply already issued, the remaining issuance is a relatively small fraction of total potential supply. Sell pressure from future issuance is therefore limited. The fully diluted valuation (FDV) of $3.8 billion stands at 1.2× the current circulating market cap of $3.0 billion. The wider this ratio, the more issuance overhang the asset faces — a structural headwind on valuation that mature assets like Bitcoin do not face but that early-cycle assets typically do.

Whether the tokenomics help or hurt comes down to value accrual versus dilution — fee burns, reinvested staking yield and TVL growth on one side, scheduled emissions on the other. A favourable balance lets price grind higher without hype; an unfavourable one means the asset must keep attracting demand just to absorb issuance.

At the top of the macro stack sit interest rates, dollar liquidity and risk appetite, and crypto has tended to amplify all three. Easing financial conditions and a weaker dollar have historically pulled the sector up; tightening liquidity and a firmer dollar have reliably pulled it back down.

For cross-asset context, monitor the dollar (a headwind when it strengthens), long-term Treasury yields (the discount rate on risk), gold (a sometime companion in monetary-debasement narratives), and the S&P 500 (often correlated with crypto on liquidity-driven swings even though crypto is popularly billed as uncorrelated).

For Quant 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, QNT tends to follow; when they contract, the relationship typically reverses. With a comparatively loose 90-day BTC correlation of +0.16, QNT has shown more idiosyncratic price behaviour than the average large-cap — its own catalysts can matter as much as the broad liquidity tide.

Bridge-specific risks are severe: cross-chain bridges have suffered some of the largest exploits in crypto history, because a single contract or validator-set compromise can drain assets in transit. Add competition from rival bridges, smart-contract risk, and the centralisation many bridge designs still carry. Treat the security track record as the primary diligence item.