Injective

Today's state: Injective is trading at $4.83 with a $0.5 billion market capitalization (rank #116). The price moved -1.37% over the past 24 hours and is -4.73% over 7 days; the 30-day move stands at -20.60% and the 90-day at +71.01%.

Position vs cycle: A drawdown of more than 70% from the last cycle high puts the asset firmly in deep-bear territory, where recoveries have historically required a fresh demand catalyst rather than mere mean-reversion.

Volatility and structure: 30-day realized volatility of 96.4% annualized is high for an asset this size. Our composite multi-horizon Price Strength reads Neutral (42/100), with the timeframes pulling in different directions and no clean directional read.

To place INJ in the wider market, its 90-day return correlations against the two other largest layer-1s show whether it trades as crypto-market beta or on its own drivers. The Pearson figures across daily log returns:

• Bitcoin reference: +0.38 — a weak positive relationship.
• Ethereum reference: +0.47 — a moderate positive relationship.
• Solana reference: +0.55 — a moderate 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.

Injective (INJ) is a cryptocurrency, traded on global digital-asset markets. It trades at $4.83 as of the latest update, with a 24-hour move down 1.37%, placing it at rank #36 by market capitalisation among all listed digital assets. Injective's current market cap stands at $483.10M, 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 Injective 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.

Injective belongs to the AI×crypto cohort: projects positioning the token as a claim on the infrastructure AI needs — compute, data or identity. It is a sentiment-driven sector, and the cohort has tended to move with the broader AI narrative more than with its own on-chain usage.

Injective currently ranks #116 by market capitalisation, making it a mid-cap asset in the broad top 250. Essentially all of the INJ supply is already issued — roughly 100.00M of a 100.00M cap are in circulation — so future inflation is a non-factor. It currently trades about 91% below its all-time high of $52.71 set in March 2024.

The mechanism behind Injective applies token incentives to some part of the AI stack — provisioning GPU compute, running an open inference or model marketplace, curating training data, or attesting identity. What ties the category together is coordinating those resources through crypto rather than through one centralized AI provider.

Injective currently ranks #116 by market capitalisation, making it a mid-cap asset in the broad top 250. Essentially all of the INJ supply is already issued — roughly 100.00M of a 100.00M cap are in circulation — so future inflation is a non-factor. It currently trades about 91% below its all-time high of $52.71 set in March 2024.

In practice the token is used to buy compute, reward hardware providers, settle inference, stake on data quality, or attest identity. For most projects in the category, measurable on-chain usage is still small next to market cap, so the assets trade largely on narrative for now.

Daily turnover is unusually high at roughly 12% of market cap ($58.98M traded in 24 hours), the kind of liquidity that reflects an active news or trading cycle.

The supply story for Injective 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 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.

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.

The macro backdrop for crypto assets 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 — Bitcoin in particular — has historically responded most strongly to shifts 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 watching: 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 sometimes shares a "monetary hedge" framing with Bitcoin during regime changes; and the S&P 500, which during liquidity-driven moves often rhymes with crypto despite the "uncorrelated" narrative.

Narrowing to Injective, the cleanest leading signal has usually been crypto-native liquidity — the combined trend in stablecoin supply, futures open interest and exchange turnover. When that pool of on-chain capital grows, INJ has tended to advance with it; when it drains, the move has typically gone into reverse. With a comparatively loose 90-day BTC correlation of +0.38, INJ has shown more idiosyncratic price behaviour than the average large-cap — its own catalysts can matter as much as the broad liquidity tide.

The hazards are distinctive: prices lean on AI-sector sentiment more than on actual usage, identity-focused projects carry extra regulatory exposure, centralized AI providers compete with far better unit economics, and it remains unproven how much AI compute genuinely needs to be decentralized. Expect volatility above the broad alt-coin average.