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Marketmetis_0101KZVYC17HW8JG7PANv1

HOODx Swings to Discount as Premium Volatility Persists Across 3.9-Hour Baseline

The Robinhood xStock token flipped from a +72bps premium to a -30bps discount against the reference equity price, with DEX liquidity holding steady at $456K despite price-source divergence of 42bps.

Confidence: moderate66%HOODx

Summary

HOODx exhibits significant premium volatility over the 3.9-hour observation window, swinging between -52bps and +72bps against the HOOD reference price. The current -30.2bps discount represents a notable shift from the prior +5.2bps baseline average. Liquidity remains stable at approximately $456K across 13 pools, with 24-hour volume of $132K indicating modest 0.29x turnover. Concentration risk is extreme, with top five holders controlling 94.5% of supply. Transaction activity shows variability without clear directional pattern.

Why it matters

For market participants, the premium volatility signals potential mispricing windows for basis trades, while the extreme holder concentration and price-source divergence indicate structural liquidity risks that could amplify slippage during position adjustments.

Key observations

HOODx trades at -30.2bps versus the HOOD reference price.

premium_bps = -30.2 bps (baseline 5.189)

Circulating supply is 597,392.618 tokens (+0% vs the prior observation).

supply_ui_amount = 597,392.618 tokens (baseline 597,392.618)

Tracked DEX liquidity totals $456,006 across 13 pools.

liquidity_usd = 456,006 USD (baseline 455,878)

The five largest token accounts hold 94.5% of supply (pools and custodial accounts included).

top5_account_share = 0.945 ratio (baseline 0.945)

24h DEX volume of $132,009 implies 0.29x turnover of pooled liquidity.

volume_24h_usd = 132,009 USD

Thesis

HOODx premium dynamics are driven by short-term DEX pricing inefficiencies rather than fundamental supply changes, creating arbitrage opportunities against the reference equity but exposing holders to execution risk from concentrated ownership and price-source disagreement.

Claims

  • Factconfidence 98%

    HOODx premium against HOOD reference price ranged from -52.1bps to +72.3bps across the 3.9-hour baseline period.

    Would falsify this: Baseline premium_bps values contain measurement errors Reference price feed was stale during capture windows

  • Calculationconfidence 95%

    The current -30.2bps premium represents a 35.4 percentage point swing from the +5.2bps baseline average premium.

    Would falsify this: Baseline average calculation uses incorrect weighting Current premium_bps reading is anomalous outlier

  • Factconfidence 92%

    DEX liquidity of $456,006 has remained within 0.1% variation across the four most recent observations.

    Would falsify this: liquidity_usd measurement includes non-deployed reserves Pool depth is concentrated in single-asset pools

  • Factconfidence 94%

    Top five holder share increased from 94.4% to 94.5% over the baseline period, indicating marginal concentration.

    Would falsify this: Holder identification methodology changed between observations New large positions represent protocol-controlled liquidity

  • Factconfidence 96%

    Price sources disagree by 42bps between Jupiter ($95.08) and top pool ($94.68), suggesting execution venue sensitivity.

    Would falsify this: Jupiter price includes routing slippage estimate Top pool price reflects stale oracle

  • Hypothesisconfidence 50%

    The 24-hour volume of $132,009 relative to $456,006 liquidity implies limited price impact for typical trade sizes.

    Would falsify this: Volume is concentrated in few large transactions Liquidity is unevenly distributed across pools

  • Hypothesisconfidence 50%

    Premium volatility is driven by DEX pricing dynamics rather than supply changes, as circulating supply remained fixed at 597,392.618 tokens.

    Would falsify this: Supply changes occur between observation timestamps Off-chain collateral flows affect effective supply

  • Hypothesisconfidence 50%

    Transaction count variability (88 to 240 txns/h1) suggests intermittent trading interest without sustained directional flow.

    Would falsify this: Transaction count includes failed transactions H1 windows capture different market phases

Evidence ledger

4 sources, each with retrieval time and, where applicable, a snapshot hash.

  • onchainreliability: primary

    HOODx token supply at slot 438889248(Solana mainnet (direct RPC))

    sha256:bbc906ebb460dbf306dce946df62a4b1bd714209927736ccafd8f20b8daf3400

  • onchainreliability: primary

    HOODx largest token accounts(Solana mainnet (direct RPC))

    sha256:d0c5410f7d2942d611c13031effa2b1acc4cad144dc238031dc3ca694caa9b1a

  • marketreliability: high

    HOODx DEX pools, liquidity, and volume(DexScreener aggregated venue data)

    sha256:887d13b496774dc5c292589266e664391d9aef4752d4d034326398ce21906bb3

  • marketreliability: high

    HOODx token price and HOOD reference price(Jupiter price service)

    sha256:f59c0f23622cdc8441b7c9df57dad52e77864ba4f949ea4550834407377b933e

Methodology

Methods

  • Direct Solana RPC verification of token supply and largest accounts
  • Cross-venue aggregation of DEX pools, liquidity, and volume
  • Token-versus-reference price comparison from an independent price service
  • Deterministic anomaly detection against stored observation baselines

Exclusions and transformations

  • UTC clock normalization
  • Raw payload hashing for every source fetch
  • Sources that failed during collection are recorded, not imputed

Comparison window: Stored observation history for this asset

Confidence rationale

Confidence is computed from source coverage, cross-venue agreement, baseline depth, and independent verification. This run scored 0.66 (moderate).

Limitations

  • 3.9-hour baseline insufficient to assess daily or weekly premium patterns
  • No data on bid-ask spreads or order book depth within pools
  • Reference price source methodology and latency not specified
  • Cannot distinguish organic trading from arbitrage or wash activity
  • Holder concentration metric does not identify entity types (retail, protocol, market maker)
  • Single-asset price feeds may not capture cross-pool routing complexity
  • Largest-account concentration includes liquidity pools and custodial accounts; it is not a beneficial-owner distribution.

Related research

This object elsewhere

sha256:71feeb37d6079bcdb40bf79381e78baaccff118072d95209438c5325928a371c

This is informational research produced by an automated system. It may contain errors, omissions, or delayed data.

Nothing here is individualized financial advice or a recommendation to buy or sell any asset.