What Happens When a Whale Buys 5% of Your Pool
A single large trade can define the early trajectory of a token launch. We used the Token Launch Simulator’s AMM engine to model what happens when someone buys 1%, 2%, or 5% of the pool’s USD reserves at three different liquiditys.
All scenarios use 1 billion token supply, 70/30 split, and measure price impact on the post-buy pool state.
The Impact Table
| Liquidity | 1% Buy ($) | 1% Impact | 2% Buy ($) | 2% Impact | 5% Buy ($) | 5% Impact |
|---|---|---|---|---|---|---|
| $10,000 | $100 | 2.01% | $200 | 4.04% | $500 | 10.25% |
| $25,000 | $250 | 2.01% | $500 | 4.04% | $1,250 | 10.25% |
| $50,000 | $500 | 2.01% | $1,000 | 4.04% | $2,500 | 10.25% |
The Key Finding: Percentage Impact Is Pool-Invariant
A 1% pool buy causes 2.01% price impact regardless of whether the pool holds $10K or $50K. A 5% buy causes 10.25% impact at every depth. This is another mathematical property of the constant product formula: the percentage-based price impact depends only on the trade size relative to the pool, not the absolute amounts.
This means:
- A $100 buy in a $10K pool has the same percentage impact as a $500 buy in a $50K pool
- A “whale” is defined by their trade size relative to the pool, not by the absolute dollar amount
- Deeper pools don’t reduce percentage-based impact: they increase the dollar threshold at which that impact occurs
What This Means for Launch Planning
The practical implication is about dollar thresholds. At a $10K pool, a “whale” buy of $500 (5% of pool) moves the price 10.25%. At a $50K pool, that same 10.25% impact requires a $2,500 trade. Deeper pools don’t change the math: they raise the bar for what counts as a whale.
For launch planning, the question is: what’s the largest single trade you expect in the first few hours?
- Community launches with mostly $50-$500 traders: a $10K pool may suffice
- Launches expecting $1K-$5K traders: a $25K-$50K pool keeps impact manageable
- Launches with known large buyers: match liquidity to their expected trade sizes
The Cascading Effect
A single whale buy doesn’t just affect that trade: it shifts the price for everyone after. When a 5% buy moves the price up 10.25%, the next buyer enters at a higher price. If the whale then sells, they push the price back down, and everyone who bought between the whale’s buy and sell takes a loss.
The Monte Carlo simulator in the Token Launch Simulator models this cascading effect across 25 random transactions.
Model whale scenarios yourself: set your budget in the Token Launch Simulator, then use the slippage table to see exactly what a large trade does to your pool.
All numbers in this article were generated by running the Token Launch Simulator's AMM engine with the specified parameters. No data was fabricated or estimated. This content is for educational purposes only and does not constitute financial advice.