For a Blackhole swap, choose the route with the highest safe net output. To swap tokens on Blackhole, compare direct and multi-hop quotes on Avalanche C-Chain, then use Blackhole swap to exchange the tokens once the output and AVAX gas cost fit your limit. In code, refresh the quote and enforce minimum output on-chain.
When does a direct volatile pool fit?
A direct volatile pool fits when the input and output tokens have enough liquidity for your trade in the same pool. The swap is one transaction through one liquidity source, so there is one pool fee and no intermediate token. The protocol overview lists a classic UniV2-style automated market maker among Blackhole’s pool models.
In a classic pool, the output depends on its reserves and the amount entering after the pool fee. For an illustrative pool holding 100,000 USDC and 100,000 units of token X, a 1,000 USDC input with an example 0.30% fee yields about 987.16 X: effective input is 997 USDC, and output is 100,000 × 997 ÷ 100,997. The gap from the initial one-to-one spot price includes both the fee and price impact from moving the reserves.
For a Blackhole DEX swap, check depth with a quote for the intended amount, not with total value locked alone. A pool can hold substantial value yet give a poor quote in one direction if its reserves are unbalanced. Compare the quoted output with an independent reference price and repeat at larger sizes to see how quickly impact rises.
This route is usually the simplest fit for a liquid pair and a modest order. It stops fitting when its price impact outweighs the extra fees and gas of another route; a direct pool is not automatically the cheapest route just because it has one hop.
When does a stable pool fit?
A stable pool fits assets expected to trade near the same value, such as two dollar-pegged tokens. Its pricing curve is flatter near the peg than a classic volatile pool’s curve, so it can produce less price impact at the same trade size. The actual output still depends on pool balances, its current fee, and how far either asset has moved from the peg.
Compare stable-pool quotes using the exact token contracts and input size your integration will send. “USDC” can refer to different contracts or bridged forms, and a matching ticker does not make two assets interchangeable. Record contract address and decimals for both sides before converting a human-readable amount into transaction units.
A stable pool does not fit merely because both tokens are labelled stablecoins. If one has lost its peg or the pool is heavily imbalanced, its quote can deteriorate sharply. Check an independent market price and the current pool balances, then let the executable quote decide whether this pool still beats the alternatives.
When does concentrated liquidity fit?
A concentrated-liquidity pool fits when substantial liquidity is active around the current price. Providers place liquidity within price ranges; a swap crosses those ranges as it moves the price. That can give a strong quote for a small trade, while a larger trade becomes expensive after it consumes the nearby liquidity.
For a swap on Blackhole, compare concentrated and classic pools at several input sizes rather than ranking them by total deposited value. As an illustrative comparison, a concentrated pool might quote 997 units for a 1,000-unit input but only 9,700 for 10,000, while a broader pool quotes 995 and 9,800. The larger order should use the broader pool if those quotes remain valid after fees and gas.
The pool fee is part of each quote, but it is not the whole cost. Measure price impact against a reference price, then add the estimated C-Chain transaction fee, paid in AVAX. Pool fees can differ by pool; read the current fee and output from the route being quoted instead of hard-coding a protocol-wide percentage.
Concentrated liquidity is a poor fit when the proposed swap crosses thin price ranges or when your quote may sit unsigned while liquidity changes. Refresh it immediately before submission and apply a minimum received amount. That bound turns a stale or badly moved quote into a failed transaction instead of an unexpectedly small payout.
When should the swap pass through an intermediate token?
A multi-hop route fits when two deeper pools beat a thin direct pool after both pool fees and extra gas. For example, token A may trade more efficiently through an A/USDC pool followed by a USDC/B pool than through a shallow A/B pool. Compare final B received for the same A input; comparing each hop’s spot price separately misses the effect of fees and price impact.
Suppose an illustrative direct route returns 987 B for 1,000 A, while a route through USDC returns 992 B after both pool fees. The two-hop route wins on token output, but an integrator should still subtract its incremental gas cost expressed in B. For small swaps, that gas difference can reverse the decision; for larger swaps, the depth advantage may dominate.
Build the route check end to end: identify token contracts, quote every hop at the amount actually received from the preceding hop, estimate gas for the complete transaction, and compare final output. On mainnet, verify C-Chain ID 43114 and keep AVAX available for transaction fees, as specified in Avalanche’s network reference. A Blackhole swap through an intermediate token should execute atomically, so either the complete route succeeds or the transaction reverts.
Multi-hop routing does not fit when an intermediate pool is thin, a token has unusual transfer behavior, or the extra fee consumes the depth benefit. Fee-on-transfer and rebasing tokens can make ordinary quote arithmetic unreliable; check that the execution path supports the token behavior and simulate the transaction before exposing that pair to users.
When should you split the order?
Splitting fits when one large trade causes enough price impact that smaller executions or multiple liquidity sources deliver more output. There are two distinct choices: divide one order across pools in a single transaction, or execute smaller orders over time. The first can use more liquidity at once; the second introduces price movement between transactions.
Test order sizes rather than assuming a fixed threshold. Quote, for example, 1,000, 5,000, and 10,000 units across the available direct and multi-hop routes, then compare output per input unit after pool fees and gas. If the 10,000-unit quote is materially worse, check whether splitting across pools improves the total and whether the extra execution cost erases that improvement.
An integration needs a clear execution boundary whichever route it chooses. Obtain a fresh quote, convert amounts using each token’s decimals, set minimum output from the user’s accepted slippage, approve only the required spender when an allowance is needed, and submit the transaction before the quote expires. After confirmation, read the receipt and actual token balance change rather than treating the quoted amount as the settled amount.
Splitting over time does not fit a user who needs the entire position immediately, and multiple transactions expose them to changing prices and additional gas. A single routed transaction is preferable when it meets their minimum output at the intended size.
Choose the route that gives the highest verified net output for the full trade size while meeting the user’s minimum received amount.