Analytics (Key Metrics)
This page is the “metrics jump table” for stakeholders.
Read in this order
The single best starting point: bracket sizes, net change window, inflow/outflow proxies, and top delegate gain/bleed.
How the bracket counts + bonded LPT evolved since 2022 (and concentration trends).
Withdraw/unbond behavior grouped by wallet size (count vs LPT).
A current distribution view (useful for pie charts and “how many wallets are tiny” questions).
Shows that major “whale exits” often bridge to L1 (and mostly to self), which is not the same as selling.
After bridge-outs land on Ethereum L1, this tracks where the L1 recipients send LPT next (DEX vs contracts vs EOAs).
Follows the biggest L1 EOA destinations one hop further; surfaces labeled exchange endpoints (best-effort, label-set based).
On-chain proxy for buy pressure: labeled exchange outflows on L1 and whether recipients bridge + bond on Arbitrum.
Repeatable timing windows: WithdrawStake → L2 bridge-out → L1 escrow receipt → labeled exchange deposits (often via one EOA hop).
Monthly/yearly totals of LPT rewards claimed and LPT withdrawn via WithdrawStake (a rough upper bound for liquidity exits).
Evidence-backed look at inflation rewards, reward withdrawals, and why delta-neutral staking can create structural sell pressure.
A proxy dashboard for systematic extraction: top withdrawers, claim cadence proxies, post-withdraw routing, and “still bonded” cases.
The longer-form research notes, methodology, and artifacts behind churn/cashout claims.
Solution analytics
Outcomes vs KPI and what it actually moved: count vs stake.
Slippage + liquidity analysis and the risk/measurement surface.
Evidence of many small stake participants, and why it doesn’t increase protocol delegator count directly.