Author | @ballsyalchemist
Compiled | Odaily Planet Daily (@OdailyChina)
Translator | DingDang (@XiaMiPP)
Liquidity is the prerequisite for an asset to gain confidence. When the market has sufficient depth, large amounts of capital can be smoothly absorbed, whales can build positions freely, and assets can be used as reliable collateral. This is because lenders know they can exit at any time if needed. However, if the asset itself lacks liquidity, the situation is completely reversed. Shallow liquidity struggles to attract users, and a lack of users further compresses trading depth, ultimately forming a self-reinforcing "liquidity death spiral."
Tokenization was initially held in high hopes: it was seen as a key tool to enhance capital liquidity, unlock DeFi financial utility, and bridge on-chain and off-chain assets. Ideally, trillions of dollars from traditional financial markets would be brought on-chain, allowing anyone to trade freely, use them as collateral for loans, and perform combinations and innovations within DeFi that are difficult to achieve in the traditional financial system.
However, the reality is that beneath the surface prosperity, most tokenized assets operate in extremely fragile, illiquid markets that simply cannot support meaningful capital scales. The "liquidity" that is a prerequisite for financial composability and practical utility has not truly materialized. These issues are not noticeable in small transactions, but once capital attempts to move at scale, the hidden costs and risks quickly become apparent.
The Current Liquidity Reality
The first hidden cost of tokenized assets is reflected in slippage.
Taking tokenized gold as an example, the chart below compares the expected slippage for different trade sizes between major centralized exchanges and the traditional gold market. The difference is striking.
PAXG / XAUT Perps & Spot vs CME Deliverable Gold Futures: Trade Size vs Slippage
As trade size increases, the slippage for PAXG and XAUT perpetual contracts rises rapidly and exponentially. At a nominal trade size of approximately $4 million, slippage approaches 150 basis points. In contrast, the CME's slippage curve is almost flush with the horizontal axis, barely noticeable.
At the spot market level, the liquidity constraints for PAXG and XAUT are even more apparent. Even when selecting their respective most liquid spot trading venues, the effective depth provided by their order books on either the buy or sell side is less than $3 million. This liquidity ceiling is directly reflected in the curve "cutting off" prematurely at smaller trade sizes.
The right side separately shows the CME's slippage curve. Its nearly flat shape直观地反映了传统市场的深度优势。即便交易规模远超 400 万美元,预期滑点依然保持高度稳定。一笔 2000 万美元规模的黄金期货交易,价格冲击甚至不足 3 个基点。从量级上看,CME 的流动性深度,远非加密市场中任何同类产品可比。
This difference has direct consequences. In deep traditional markets, even large trades have a negligible price impact;而在代币化资产的浅薄市场中,同样的操作会立刻产生可观成本,且平仓难度会随着规模迅速上升。The daily average volume comparison below clearly shows this gap, and this issue is not unique to the gold market; it applies to other assets as well.
CME Gold Futures vs PAXG / XAUT Perps & Spot: Daily Average Volume Comparison
The above discussion mainly focuses on CEXs. So, what about AMM DEXs? The answer is恰恰相反, it only gets worse.
For example, in a XAUT transaction in February 2025, a user spent 2,912 USDT but only received XAUT worth approximately $1,731 at the real gold price at the time, effectively paying a premium of up to 68% for this trade.
In another transaction, a user exchanged PAXG worth approximately $1.107 million (at the then gold price) for 1.093 million USDT, with a slippage of about 1.3%. Although the slippage is not as extreme as the former, it is still unacceptably high when price impact in traditional markets is typically measured in single-digit basis points.
Furthermore, over the past six months or so, the average slippage for XAUT and PAXG on Uniswap has consistently remained in the range of 25–35 basis points, and even exceeded 50 basis points during certain periods.
Average Absolute Slippage for XAUT & PAXG on Uniswap V3
This article uses gold as the primary analysis object because it is currently the largest non-dollar, non-credit tokenized asset on-chain. But the same problems appear in the tokenized stock market as well.
NVDAx / TSLAx / SPYx vs Nasdaq NVDA / TSLA / SPY: Trade Size vs Slippage
TSLAx and NVDAx are among the top tokenized stocks by market cap. On Jupiter, a $1 million TSLAx trade has a slippage of about 5%; while NVDAx's slippage is as high as 80%,几乎失去可交易性. In contrast, in traditional markets, a trade of equivalent size in Tesla or Nvidia stock has a price impact of only 18 basis points and 14 basis points respectively (and this doesn't even include off-exchange liquidity like dark pools).
These costs are easy to ignore in small trades, but once the trade size increases, they become unavoidable. Insufficient liquidity translates directly into real losses.
Why Are Tokenized Markets More Dangerous?
The problems caused by insufficient liquidity are not limited to transaction costs; they also directly disrupt the market structure itself.
When market liquidity is thin, the price discovery mechanism becomes fragile, order book noise increases significantly, and oracle data sources are affected by this noise. In highly interconnected systems, even极小规模的交易 can trigger huge chain reactions.
In mid-October 2025, PAXG on the Binance spot market experienced two noticeable "anomalous" events within a week. On October 10th, the price dropped 10.6%; on October 16th, the price surged 9.7%. Both fluctuations quickly returned to their original positions, almost certainly not caused by fundamental changes, but rather a direct manifestation of order book fragility.
Because the tokenized asset ecosystem is highly interconnected, this instability is not confined to a single exchange. Binance spot holds the highest weight in Hyperliquid's oracle construction. Therefore, during these two anomalous fluctuations, $6.84 million in long positions and $2.37 million in short positions were liquidated on Hyperliquid—a liquidation规模甚至超过了 Binance 自身.
This result is concerning. It shows that a single illiquid market is enough to amplify and propagate volatility across multiple trading venues. In extreme cases, this structure could even increase the risk of oracle manipulation. Even traders who never participated in the original spot market could passively suffer losses due to liquidations, price distortions, and widening spreads.
Ultimately, all these problems stem from the same fact: the primary market lacks real, scalable liquidity.
PAXG Liquidation Chart on Coinglass
Insufficient Liquidity is a Structural Problem
The lack of liquidity for tokenized assets is a structural problem.
Liquidity does not automatically appear just because an asset is tokenized. It relies on the continuous supply from market makers, who themselves are subject to strict capital constraints. They allocate capital to markets where inventory can be turned over efficiently, risks can be continuously hedged, and positions can be exited with minimal time and cost friction.
And most tokenized assets恰恰在这些关键维度上难以满足要求.
First, for market makers to provide liquidity, they must first complete the asset minting process. But in reality, minting itself comes with explicit costs. Issuers typically charge minting and redemption fees ranging from 10–50 basis points;同时, the minting process often involves operational coordination, KYC checks, and settlement through custodians or brokers, rather than direct on-chain execution. Market makers need to advance funds and wait for several hours or even days to actually receive the tokenized asset.
Second, even once inventory is generated, it cannot be redeemed instantly. The redemption cycle for most tokenized assets is measured in "hours or days," not seconds. Common redemption rules are T+1 to T+5, accompanied by daily or weekly quota limits. For larger positions, a complete exit often takes several days or even longer.
From a market maker's perspective, this type of inventory is largely equivalent to "low-liquidity assets" that cannot be quickly recovered and redeployed.
To maintain market depth, market makers must hold inventory over a longer周期, continuously bearing price volatility risk and hedging, while waiting for redemption to complete. During this time, the same capital could have been deployed to other crypto markets—where inventory is hardly needed, hedging is continuous, and positions can be closed at any time. Precisely because of this, this opportunity cost is particularly high in the crypto market.
Faced with this trade-off, rational liquidity providers naturally choose to allocate capital to other markets.
The existing market structure is also insufficient to solve this problem. AMMs transfer inventory risk to liquidity providers but do not eliminate redemption constraints; while order book-based trading venues fragment market maker liquidity across multiple exchanges, further weakening overall depth.
The end result is persistently insufficient liquidity, creating a vicious cycle. Insufficient liquidity dampens participation willingness, and lack of participation in turn further削弱流动性. The entire tokenized asset ecosystem is thus trapped in this cycle.
A New Market Structure
Insufficient liquidity is a structural obstacle restricting the scaled development of tokenized assets.
Shallow market depth cannot support practically meaningful position sizes, and the fragile market structure amplifies and transmits local volatility to different protocols and trading venues. Assets that cannot be exited smoothly under predictable conditions自然也难以作为可信的抵押品. Under the current mainstream tokenization model, liquidity is chronically constrained, and capital efficiency remains low.
For tokenized assets to truly become usable at scale, the market structure itself must change.
What if the price discovery and liquidity supply for assets could be directly mapped from off-chain markets, rather than being rediscovered and cold-started on-chain? What if users could acquire tokenized assets at any trade size without forcing market makers to hold low-liquidity inventory long-term? What if the redemption mechanism was fast enough, with clear paths and no restrictions?
Asset tokenization has not failed due to the technical path of "putting assets on-chain".
Where it truly fails is that—the market structure supporting these assets was never truly built.
