How does Montra trading work?
The documented Montra trading experience uses Uniswap v4 pools on Elysium. Each token starts in its own pool, where swaps exchange the newly created token for its paired asset. Traders can buy or sell as long as a compatible pool is available and the transaction meets the pool's constraints.
Prices are determined by the state of the pool and executed transactions. A displayed price is a snapshot and can differ from the final execution price if liquidity is shallow or the market moves while a transaction is pending.
Locked launch liquidity versus outside liquidity
For standard launches, the Montra mechanism describes placing the initial token supply in a pool position controlled by its hook. That initial seeded position is designed to remain in the pool. The distinction matters: locked initial liquidity does not guarantee deep liquidity at every price or sufficient counterparties for a large trade.
Other liquidity providers may be able to add their own positions and withdraw them separately. Market participants should assess depth, price impact, fee rates and the possibility of rapid changes in demand.
What does token graduation mean?
The Montra documentation uses graduation to describe a milestone inside a token's existing pool. It is not a new token contract and does not require liquidity to migrate to another pool. A later liquidity-provider milestone can alter how the existing fee is allocated, according to that launch's preconfigured rules.
Those stage labels are useful for sorting tokens by progress, but they are not predictions of future price. A token can cross a milestone and later experience substantial losses.
Understand fees, slippage and anti-snipe windows
Each swap is subject to a pool fee in addition to network gas. Immediately after launch, some pools may also apply a temporary anti-snipe charge to purchases. Buyers should review the expected output, actual current buy fee and minimum received amount rather than relying solely on a headline fee tier.
Slippage is the difference between a quoted outcome and the price at execution. A high tolerance can expose users to worse fills; a low tolerance can cause trades to revert in volatile markets.