Two pools can hold the exact same pair, run on the exact same protocol, and still see wildly different volume — one gets picked constantly, the other sits quiet with a handful of trades a wee
Two pools can hold the exact same pair, run on the exact same protocol, and still see wildly different volume — one gets picked constantly, the other sits quiet with a handful of trades a week. The difference usually isn't luck. It's a small set of mechanical factors that compound on each other: depth, cost, routing reach, incentive design, and trust — and once a pool gets ahead on a few of these, it tends to keep pulling further ahead, because traders go where the last trader already went and left good liquidity behind. This piece breaks down what actually drives that pull, walks through why it compounds the way it does, and looks at where STON.fi's specific design choices genuinely feed into it.
"Liquidity doesn't distribute evenly — it pools where the last trader already found a good price, and thins out everywhere else." — a note on how attention actually moves in DeFi
Depth relative to typical trade size. This is the most basic filter traders apply, often unconsciously. A pool that can absorb a $10,000 trade with 0.1% slippage will keep getting chosen over one that produces 3% slippage on the same size, even if the second pool advertises a lower headline fee. Depth beats fee tier for anything above a trivial trade size, essentially every time — the fee is a known, fixed cost; slippage is a hidden, variable one that only gets worse as size grows.
Total cost, not just the advertised fee. The number on the swap screen is only part of the real cost. Slippage, price impact, and gas all stack on top of it, and traders who've been burned once by a "low fee, terrible execution" pool tend to remember. A pool with a slightly higher fee but meaningfully tighter spreads can end up cheaper end-to-end than one boasting the lowest fee tier on paper — and repeat traders learn this quickly, even if they never articulate it in those terms.
How many other places route through it. A pool that's connected to aggregators, wallets, and third-party apps gets a stream of traders who never opened the DEX's own interface at all — they just got routed there because it quoted best at that particular moment. Isolated pools, by contrast, only see the traffic that finds them directly, which is a meaningfully smaller and slower-growing pool of demand.
Incentive programs that actively pull in liquidity. Farming rewards and boosted yields don't just reward liquidity that's already there — they actively recruit new liquidity, and deeper liquidity is what makes a pool attractive to traders in the first place. It's a flywheel, and it's worth spelling out explicitly because the causal chain is easy to state but easy to underestimate: incentives draw LPs in → LPs create depth → depth lowers slippage → lower slippage draws traders → traders generate fees → fees (plus ongoing incentives) keep LPs there → deeper liquidity means even better execution → which draws more traders still. Each loop reinforces the one before it.
Asset availability nobody else offers. A pool that's the only place to access a specific asset wins by default, regardless of how its fee or depth compares to anything else — there's no competing option to weigh it against, so the comparison never even happens.
Track record and audit history. For any trade size that matters, "has this contract been reviewed, and has it run without incident" is a real filter, not an afterthought. Traders quietly route away from pools with a rockier or less-documented history even when the quoted pricing looks identical on the surface — trust is priced in, even if it's never shown as a line item.
It's worth pausing on why these factors reinforce each other rather than just adding up. A pool with 2x the depth of a competing pool doesn't just handle 2x the trade size comfortably — it handles a much wider range of trade sizes at acceptable slippage, which means it captures both the small retail trades and the larger ones that the shallower pool would have priced badly. That wider capture pulls in more fee revenue, which either directly or indirectly (through incentive programs funded by that revenue) attracts more liquidity, which widens the gap further still.
This is also why a pool that's "good enough" rarely stays that way for long once a genuinely better-positioned pool exists nearby. Liquidity in DeFi is unusually mobile compared to, say, capital in traditional finance — an LP can move a position in one transaction, with no notice period and minimal friction, so the flywheel above doesn't just favor the leading pool going forward, it actively pulls existing liquidity away from the trailing one. The gap tends to widen, not stabilize, unless something specifically counteracts it — a targeted incentive campaign, a unique asset listing, or a structural advantage the smaller pool has that the larger one doesn't.
Numbers make this concrete faster than more description does. Imagine two pools holding the identical token pair — Pool A with $500,000 in liquidity, Pool B with $2,000,000 — both charging the same 0.3% fee.
A $20,000 trade against Pool A, the shallower one, might realistically move the price enough to produce something like 1.5–2% slippage on top of the fee — a real, felt cost for the trader, even if the headline fee looked identical to Pool B's. The same $20,000 trade against Pool B, four times deeper, might land closer to 0.3–0.4% slippage — a difference that isn't marginal, it's the kind of gap a repeat trader notices within their first two or three trades and simply stops going back to Pool A for anything beyond a small, low-stakes swap.
Now run the flywheel forward. Pool B's better execution keeps attracting the larger trades, which means more fee revenue accrues to Pool B's LPs specifically. If both pools started with comparable APRs, Pool B's LPs are now quietly earning more in absolute terms — not because the rate is higher, but because more volume is running through the same rate. That, in turn, is exactly the kind of signal that pulls additional liquidity toward Pool B over time, even without any deliberate incentive campaign pushing it there. Pool A doesn't need to do anything wrong to fall further behind — it just needs to stay still while Pool B keeps compounding.
This is the mechanism underneath every "why did liquidity all end up in one place" observation in DeFi — it's rarely a single decisive event, and much more often this quiet, repeated selection effect playing out thousands of times across thousands of individual trades.
🧭 Omniston's RFQ layer widens what "the pool" even means for a trader. Rather than a swapper being limited to whatever depth sits in one specific STON.fi pool, Omniston fans a trade request out as a request-for-quote across STON.fi's own pools, other connected TON DEXs, and off-chain RFQ resolvers, then executes against whichever quotes best. For a trader, that means checking STON.fi effectively checks a wider slice of TON's total available liquidity in a single query — a structural reason to start there rather than manually checking several venues one at a time and comparing quotes by hand.
🌾 Boost Farm incentives directly target the depth side of the flywheel described above. STON.fi's farming program lets LPs stake STON to boost their farm APR by up to 2x on top of the base rate — a direct lever for pulling additional liquidity into specific pools. That matters precisely because of the compounding logic above: additional liquidity is exactly what lowers slippage and widens the range of trade sizes a pool can absorb comfortably, which is what actually pulls in more trading volume behind it.
📈 xStocks gives STON.fi's app a category of asset most other TON-native venues simply don't have. Tokenized equities like AAPLx and TSLAx, accessed through the STON.fi app via Omniston's escrow settlement, bring in a segment of traders whose interest isn't in TON-native tokens at all — they're there specifically for real-world-asset exposure, and STON.fi's interface is currently where that access lives on TON. That's the "unique asset availability" driver from the list above, showing up in a very literal, concrete form.
🛡️ Audit coverage lowers the trust barrier for larger trades. STON.fi's v2 contracts have been through a formal audit by Trail of Bits, with ongoing bug bounty coverage through Certik and HackenProof — the kind of documented review history that matters specifically for traders sizing up whether to route a large trade through a given pool rather than splitting it across multiple smaller, more cautious trades elsewhere.
🤝 Referral fee flexibility encourages third-party apps to route traffic in, rather than around. Because Omniston's flexibleIntegratorFee setting automatically adjusts a referral fee down to whatever a given route actually supports rather than excluding that route entirely, third-party wallets and apps building on top of STON.fi's liquidity have less reason to route around it purely to protect their own fee. In practical terms, that means more of that third-party integration traffic actually lands on STON.fi's pools instead of quietly bypassing them for a technicality most end users would never notice.
"An integration that gets excluded over a fee-percentage mismatch isn't a security feature — it's just lost volume dressed up as a rule." — a note on why flexible fee handling matters more than it sounds
There's a specific window where this dynamic plays out fastest: the launch of a new pool. A brand-new pair opens with zero trading history, and whatever depth its first LPs bring is, for a short while, the entire liquidity picture — there's no accumulated volume, no reputation, nothing pulling traders in except whatever's genuinely there right now.
This is where an initial incentive push or a listing on an aggregation layer matters disproportionately. A pool that launches with meaningful depth and immediate routing visibility captures the early wave of interested traders while there's still genuine curiosity and no entrenched alternative to compete with. A pool that launches thin and undiscovered can miss that window entirely — by the time it accumulates comparable depth organically, trader attention has often already settled elsewhere, and pulling it back requires a much bigger push than it would have taken to capture it in the first place.
That's a large part of why incentive programs and RFQ-style routing integrations tend to concentrate around launches specifically, rather than being spread evenly over a pool's lifetime — the flywheel described earlier is easiest to get spinning before a rival pattern has had time to set in, and considerably harder to restart once trader habits have already formed around somewhere else.
None of this changes the fact that STON.fi's total liquidity is still modest in absolute terms — tens of millions of dollars in TVL, not billions. For a genuinely large trade on a thin pair, no amount of smart routing or incentive design manufactures depth that isn't there yet. RFQ aggregation widens the effective liquidity a trader can access, but it can't create liquidity that no connected source is actually offering. The mechanics above explain why a pool pulls traders relative to its size and relative to the alternatives available on TON specifically — they don't erase the reality that TON's overall liquidity, STON.fi included, is still small next to the largest venues in DeFi as a whole.
It's also worth being honest that incentive-driven liquidity has a well-known fragility problem across all of DeFi, not just here: liquidity that arrived chasing a boosted APR can leave just as fast once that incentive tapers off, unless the underlying trading activity has become genuinely self-sustaining by the time it does. A flywheel that's only spinning because of an active incentive campaign isn't the same as one spinning on organic volume — and telling the two apart from the outside usually takes watching what happens to a pool's depth in the weeks after an incentive program winds down.
Pools attract traders through a compounding set of mechanical advantages, not through branding: depth that keeps slippage low across a wide range of trade sizes, total cost that beats the advertised fee number once slippage is priced in, integration reach that brings in traffic the pool never had to chase directly, incentive programs that actively recruit liquidity rather than just rewarding what's already there, unique asset access that sidesteps competition entirely, and a trust record that lowers the bar for larger trades. STON.fi's specific design leans into several of these directly and verifiably: RFQ aggregation that widens effective depth per query, boosted farming that targets the liquidity side of the flywheel, xStocks as a genuinely unique asset category on TON, audited contracts that lower the trust barrier, and referral-fee flexibility that keeps third-party routing flowing in rather than around it. The flywheel is real, and it's currently turning in STON.fi's favor on several fronts at once — it just still turns on a base of liquidity that's meaningfully smaller than the biggest venues in crypto overall, and that gap is the honest context every other point in this piece sits inside of.
This article is based on STON.fi and Omniston documentation as of mid-2026, alongside general, widely-documented DeFi liquidity mechanics. TVL, incentive rates, and product availability change — verify current specifics against docs.ston.fi before relying on them for a trading or liquidity-provision decision. This is not financial advice
