export const prerender = true; Ethereum Token Launch — $50K Budget, 80/20 Split

Simulate a $50K Ethereum Token Launch with an 80/20 Split

Committing $40,000 to the liquidity pool on Ethereum signals serious intent to the market. This 80/20 split at the $50K level creates one of the deeper pools among new token launches — enough to handle $2,000 trades with under 5% slippage. The $10,000 acquisition budget is modest, buying fewer tokens at a better effective price due to the deeper pool. This configuration suits teams focused on long-term pool health rather than maximizing their initial token position.

For educational and illustrative purposes only. Not financial or investment advice. Simulated results do not predict actual market outcomes.

Scenario Parameters

Chain

Ethereum

TGE Capital

$50K

Liquidity Split

80/20

Total Supply

1,000,000,000

Liquidity (L)

$40,000

Acquisition (P)

$10,000

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Key Concepts for This Scenario

Frequently Asked Questions

At $40,000 liquidity on Ethereum, what trade size triggers 10% price impact?

In a constant product AMM, 10% price impact occurs when the trade is approximately 10% of the pool reserve. For a $40,000 pool, that threshold is around $4,000. The simulator generates a full slippage table showing price impact at incremental trade sizes, making it easy to identify the sweet spot for participant order sizing.

How does the 80/20 split at $50K affect post-TGE supply ownership on Ethereum?

With only $10,000 for acquisition against a $40,000 pool (a 25% trade), the price impact is moderate. The simulator calculates the exact number of tokens acquired and the resulting supply ownership percentage. Expect a smaller percentage than the 60/40 split but purchased at a significantly lower average price per token.

Is $50K at 80/20 on Ethereum more stable than $100K at 60/40?

The $50K 80/20 pool ($40,000) is actually shallower than the $100K 60/40 pool ($60,000). However, the 80/20 configuration does not suffer the 66% self-buy price impact of the 60/40. The simulator lets you run both side by side to see which produces better price stability after the initial acquisition.

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