Model the cashflow from one hypothetical Solana spot purchase and sale on FOMO. Enter an entry budget and two market caps; optionally add a liquidity pool. The calculation shows the fee on each leg, estimated pool impact and the market-cap threshold needed to recover the budget under the stated assumptions.
Independent affiliate guide. We may earn a share of trading fees through our code. Product instructions are based on public documentation unless a specific observation is labelled. Evidence and limits.
Hypothetical Solana spot scenario
One entry and one exit. USD is treated as equal to USDC. Excludes special major-token pricing, perps, network costs, token taxes and execution slippage. This is not an app quote or a profit forecast.
Small-order discount is unconfirmed. This scenario uses the undiscounted published fee on each leg below 190 USDC. That is an assumption, not a finding that the discount is zero. Check the app estimate.
| Entry fee | −$0.95 |
|---|---|
| Entry price impact | 0.33% |
| Position value at exit cap | $246.81 |
| Exit price impact | 0.33% |
| Sale proceeds before exit fee | $246.00 |
| Exit fee | −$1.11 |
| Modeled cash returned | $244.89 |
Price impact assumes a constant-product pool with half its value in quote currency, and exit liquidity that grows with market cap. Real execution may be better or worse; this is not a minimum or maximum cost estimate. Break-even uses the same assumptions and can lie on a fee-band boundary.
Model solana-spot-2. Shared links carry the inputs and model version; they do not preserve an app quote.
The fee schedule used in this model
FOMO publishes the following ordinary Solana spot bands in its trading-fee documentation. They are applied separately to the modeled purchase and sale. Special major-token pricing and other chains are outside this calculator.
| Trade amount | Base fee | Referral assumption |
|---|---|---|
| Below 5 | 0.10 USDC | Base fee used; discount scope unconfirmed |
| 5 to below 47.50 | 2% | Base fee used; discount scope unconfirmed |
| 47.50 to below 190 | 0.95 USDC | Base fee used; discount scope unconfirmed |
| 190 and above | 0.50% | 0.45% in the standard referral scenario |
The referral documentation illustrates the standard 10% discount as 0.50% becoming 0.45%. The public sources do not establish the precise treatment of every smaller band. Keeping those bands undiscounted is an explicit calculation assumption. Selecting the referral scenario does not verify a code, account, promotion or entitlement.
Network fees, token transfer taxes, extra execution slippage and any costs outside this schedule are excluded. Check the current in-app estimate before relying on a fee amount. See the complete fee guide for documented exceptions and open questions.
Two fee-only examples you can check by hand
With a 1,000 USDC entry budget, unchanged market cap, no referral and pool impact disabled: the modeled entry fee is 5, leaving 995 invested. The modeled exit fee is 995 × 0.005 = 4.975. Cash returned is 990.025, a loss of 9.975 before excluded costs. This follows the assumption that the entry fee is deducted from the budget; it is not a record of an executed trade.
A 190 USDC entry does not ensure both legs remain in the 190-and-above band. Without a referral, the entry fee leaves 189.05 invested. At unchanged market cap and with impact disabled, the sale falls below 190 and uses the 0.95 flat fee, returning 188.10.
How the pool estimate works
The calculator assumes constant token supply, so the exit-to-entry market-cap ratio equals the price multiple. It models one constant-product pool, half of whose starting value is quote currency. An entry budget after fees of S against quote reserves Q buys tokens with an immediate spot value of S × Q ÷ (Q + S).
On exit, the pool is assumed to grow in direct proportion to market cap. The sale is modeled against that pool, then the exit fee is deducted. This is a simplified scenario: real liquidity may change differently, be concentrated across price ranges, sit in several pools or disappear. Other traders and routing can change execution. The estimate is neither a floor nor a ceiling on actual costs.
A pool value of 0 disables price impact on both legs. It does not mean that a token with no real liquidity can be traded. Values from a market-data site are observations at a particular time, not guaranteed liquidity when you sell.
What the break-even result means
The result is the first modeled market-cap multiple at which cash returned is at least the entry budget. The search must find a passing upper bound before reporting a number. It includes fee-band transitions, so the threshold can sit on a boundary where the fee changes. The displayed multiple is rounded.
If the required exit market cap exceeds this model's supported maximum of 1 quadrillion USD, the calculator reports that no threshold was found within its range. It never substitutes a search limit such as 4× for a verified answer.
If a modeled sale cannot cover its own exit fee, cash returned and realized ROI are marked unavailable. The model does not invent negative cash proceeds, a debt or an extra deposit.
Inputs, limits and shared links
- Use a decimal point. Both
2000.50and2,000.50work; comma decimals such as1,5, scientific notation and negative values are rejected. - Entry budgets run from 1 to 1 billion USD; market caps from 1 to 1 quadrillion USD; pools from 0 to 1 trillion USD. Empty fields are not replaced with a hidden trade.
- The share link stores inputs and a model version. An older, incomplete or unsupported link is flagged instead of silently loading different results. It does not save an app quote or guarantee that an older model remains available.
Model checks and limitations
Regression tests cover published fee boundaries, independent hand calculations, an exit crossing below 190, thin pools that require more than 4× to break even, insufficient sale proceeds, strict numeric input and versioned links. A deterministic grid also checks that reported break-even results recover the modeled budget and that valid cash returns are never negative.
Those tests verify this calculation against its assumptions. They do not demonstrate that FOMO will execute an order at this price, establish a code's account acceptance or predict a token's return.
Related: FOMO fee breakdown, how to review a purchase, and the referral offer and its evidence.
Sources and dates
These sources support the documented claims. A public-source check does not verify account acceptance or a completed trade. Historical observations retain their original dates. Read the evidence limits and corrections.