By mid-January 2026, the total value locked (TVL) of ListaDAO will be approximately 166.9 million USD, with loan volume around 48.863 million USD. The fees over the past 30 days are approximately 948.7 thousand USD, and protocol revenue over the past 30 days is about 552.2 thousand USD. Annualized fees are roughly 11.57 million USD, and annualized revenue is approximately 6.74 million USD. The market cap of LISTA is around 44.64 million USD, with a fully diluted valuation of about 127.26 million USD. Trading volume in the past 24 hours is approximately 3.66 million USD, of which on-chain transaction volume is about 1.48 million USD. Staked value is roughly 14.48 million USD, accounting for over 30% of the market cap. The price of LISTA is around 0.16 USD, still far from its all-time high of 0.84 USD, but not particularly distant from its all-time low of 0.11 USD.

These numbers may seem cold, but every time I see them, I ask myself: what is USD1 actually doing here? Because USD1 is no longer just a stablecoin circulating in a small pool—it’s now in the tens of billions outside. Once the scale grows this large, entering a protocol is no longer just about earning a little interest. It becomes a key structural beam, influencing the protocol’s interest rates, risks, governance, and product rhythm. When you say you’re doing USD1 savings, you’re really choosing a place that can sustain such scale over the long term. The most visible move from ListaDAO right now is trying to become a major hub for this kind of stablecoin on BNB Chain.

But the term 'hub' is still quite abstract. In my own operations, I want to know more concretely: once I deposit USD1 into a vault, where does the yield come from? Where does the risk come from? What happens when something goes wrong? Who handles it? Who bears the loss? Who can exit? Who gets stuck? These are the real questions.

First, let’s talk about yield sources. Many people jump in based on a single APY figure, but I now prefer to break APY into two layers: first, natural interest from lending; second, extra returns from incentives or strategies. In ListaDAO, a key entry point for USD1 is vaults like the USD1 Vault. It holds around 200 million USD1, with yields around 2%, and has over 10,000 participants. Two percent might sound dull, but I see it as a signal. Dullness often means it’s not artificially inflated by short-term subsidies, but rather comes from genuine lending interest and a relatively conservative strategy mix. Dullness also suggests that if borrowing demand rises and utilization increases, yields could naturally rise—without needing to aggressively pump rewards to stay attractive.

Let’s talk about lending demand. Dividing loan volume by TVL gives about 29.3%. So currently, much of the capital is idle—less than one-third is actually borrowed. Many see this and feel disappointed, saying capital efficiency is low. I don’t jump to conclusions, because on-chain lending efficiency isn’t always better when higher. Approaching full capacity increases risk. A key target in the interest rate model is utilization around 90. This isn’t a current reality—it’s a direction. The model aims to pull utilization toward this zone: when low, encourage borrowing; when too high, raise rates slightly to discourage borrowing. If this mechanism works, supplier returns will rise naturally with utilization, not relying forever on subsidies.

But no matter how good the mechanism, users experience the result. The worst on-chain lending experience is a sudden, drastic spike in interest rates—borrowers can’t cope, and suppliers can’t either. ListaDAO did experience abnormal rate surges in USD1-related markets before, forcing emergency governance actions like mandatory liquidations. Later, there was even a redistribution of liquidation profits from a specific USD1 vault—480,000 USD1, distributed proportionally. For me, this history has two meanings. First, a reminder: stablecoins aren’t risk-free. Even in crowded markets, they can become dangerous seats. Second, an observation: can the protocol act during emergencies? Can governance deliver results? Can those results be executed? And after execution, are gains or losses fairly distributed? At least from these events, I see it’s not completely paralyzed.

To keep going, I must touch on LISTA and veLISTA. Many people skip governance tokens altogether, saying they just want USD1 interest and don’t care about token price. But in ListaDAO, it’s hard to completely avoid LISTA, because many 'costs' and 'rights' revolve around it. Especially the loan rebate mechanism. Simply put: by holding and locking LISTA to form veLISTA, you earn a rebate when borrowing lisUSD. The rebate ratio isn’t linear—it’s logarithmic: barely noticeable in low-staking ranges, with diminishing marginal gains as stakes rise, and capped at around 1.5%. This design is realistic—it prevents rebates from becoming a whale-only提款 machine, and discourages infinite hoarding. It’s more like telling you: LISTA can be a discount coupon for interest rates, but even coupons have a cap.

I treat it like a discount coupon because the biggest pain point in lending is uncontrollable cost. When running USD1-related strategies—like collateralizing an asset to borrow USD1 for other yields—if the borrowing rate spikes suddenly, your returns can vanish instantly, even turning into losses. If you can get rebates through veLISTA, your net cost becomes more predictable. It won’t necessarily make you a winner, but it does make your loss boundary clearer. Many people fear failure in on-chain strategies not because of failure itself, but because they don’t know *how* it might fail, or how bad it could get. When net cost is calculable, it slightly eases that anxiety.

Now let’s talk about fixed-rate and fixed-term loans. This feature feels like one of the most solid recent updates. Borrowers can now choose fixed terms of 7, 14, or 30 days. After the fixed term ends, the loan automatically reverts to a floating rate. Early repayment incurs a penalty equal to half of the remaining interest due, and the repayment order is clearly defined: interest first, then principal, then penalty. For suppliers, this means more stable returns. For borrowers, it means costs can be planned. When you design a USD1 strategy, you’re no longer just gambling on future interest rates—you can lock in costs for a period. Once costs are locked, whether your strategy profits becomes more about 'accounting' than 'prayer'.

When I get here, some people might counter that on-chain systems should be inherently flexible, and fixed terms actually restrict freedom. But after personally running a floating-rate strategy for a while, I've come to increasingly believe that appropriate constraints are a form of protection. Once you can withdraw anytime, you're prone to frequent withdrawals—constantly feeding fees and slippage to the market. Fixed terms force you to pause and think, reducing emotional decisions. You're free not to choose fixed terms, but their very existence makes the lending system resemble a true interest rate mechanism, rather than just a hot money pool.

By this point, I want to redefine the phrase 'best strategy for USD1 savings.' The best strategy isn't necessarily the highest APY—it's about being able to adapt and survive under different market conditions. In calm markets, you earn steady interest. During volatility, you can exit in time to avoid liquidation. In bull markets, you can cautiously add leverage. In panic phases, you won't get crushed by a run. To achieve this, you can't rely on just one pool.

I’ve broken down my thinking into three layers, but I’m not writing this like a tutorial—because I don’t always execute it well myself.

The first layer is the USD1 base capital. Place your USD1 in relatively stable vaults, accepting moderate annual yields—around 2%. Treat it as on-chain cash management, not speculation. You’re not chasing the highest APY, but checking if the vault’s size is stable, whether share price grows slowly, if withdrawals are smooth, and whether the protocol has weathered extreme events and handled them properly. You also care more about participant count and share distribution: greater dispersion doesn’t mean safety, but at least it won’t collapse if a few people pull out. The value of base capital is that it’s available when you need liquidity—not stuck in queues when you’re most desperate.

The second layer is the interest layer. You start treating USD1 as part of an interest-rate toolset. You monitor the relationship between lending volume and TVL, observe whether utilization in certain markets is rising, and track how active the borrowing side is. If utilization climbs gradually from 29%, you can interpret that as increasing borrowing demand, which may naturally lift returns for suppliers. The core here isn’t impulsive adding, but continuous observation. You can also use fixed-term loans to lock in costs, then deploy the borrowed USD1 into more stable yield scenarios, creating a net return you can actually calculate. If you can’t calculate it, don’t do it.

The third layer is governance and rights. You don’t have to heavily invest in LISTA, but you must acknowledge that LISTA and veLISTA can change your cost and incentive structure. If you’re active in ListaDAO long-term, veLISTA’s rebates, voting power, and emission rights will affect your position in the ecosystem. Some treat LISTA purely as a price speculation asset—happy when it goes up, angry when it drops. But I prefer to see it as a tool that changes your funding cost and the sustainability of your strategy. Tools carry price risk, so how much you allocate depends on how much token price volatility you’re willing to accept for 'lower net cost.' Many people make the mistake of locking too much just for rebates, only to find the rebates don’t cover the losses from price swings. My approach is simpler: first stabilize your base capital and interest layer, then slowly add the governance layer. I’d rather go slow than eat too fast.

I’d also like to add more about recent ecosystem changes, since you asked to increase references to latest developments, data, and tokens. I won’t avoid it. Beyond lending and vaults, derivative products around veLISTA are also evolving. Some are discussing changes to revenue distribution—splitting part of the yield directly to holders, and another part used for buybacks into the vault, while adjusting management fees, performance fees, vesting periods, and penalties for early withdrawal. These changes aim to solve liquidity and pegging issues, trying to make derivative tokens more usable and stable. But they also mean rising complexity. Increased complexity brings opportunities for advanced users, but risks for ordinary ones. If you're just doing USD1 savings, don’t jump straight into multi-layer derivative structures. First, understand who bears each layer’s fees and risks.

Back to the numbers behind LISTA valuation. Annual protocol revenue: $6.74 million. Market cap: $44.64 million. On the surface, it looks attractive. But I keep reminding myself: this isn’t equity. Token value capture depends on how the distribution mechanism actually lands. The revenue you see might go toward risk buffer funds, operational costs, incentive pools, or reinvestment—not directly to token holders. Even if there is distribution, it may mainly benefit veLISTA holders, not spot holders. Add in unlock schedules, lock-up ratios, and voting outcomes—these all affect actual allocation. In short, LISTA is more like a long-term access pass than a short-term dividend receipt. You hold it to get lower costs and more voice in the ecosystem—not to get cash immediately. If you want immediate cash, you’ll likely be disappointed.

So what are you really buying with USD1? I can now give a clearer answer. You’re not buying the 2% APY itself—you’re buying a relatively stable interest and liquidation system on BNB Chain, a large-capacity container, a governance process that can activate during extreme events, and a potentially increasingly important stablecoin liquidity channel. You’re also buying a little trouble—because you must learn to monitor utilization, borrowing costs, liquidation thresholds, and admit when you don’t understand something deeply enough to dive in.

Let me address risks more directly—no sugarcoating. First risk: utilization spikes. If a certain asset is suddenly borrowed out completely, interest rates will turn ugly, liquidations will be messy, and emotions will run high. Second risk: volatility in collateral assets. If you use volatile assets as collateral to borrow USD1, you’re always at risk of liquidation. Third risk: reliance on external strategies. If returns come from external vaults or incentives, changes in rules can instantly alter your yield. Fourth risk: governance risk. Parameters, fees, and risk models are adjustable—well-adjusted, it’s optimization; poorly adjusted, it’s chaos. Fifth risk: liquidity structure risk. The more derivative tokens and layers there are, the longer the failure path becomes, and each step in that path carries friction.

The best strategy for USD1 in ListaDAO isn’t a single action—it’s a sequence. First, treat USD1 as base capital, confirming you can enter and exit freely. Then, use it as an interest-rate tool: learn to choose between fixed and floating rates, and learn to calculate net cost. Only then consider LISTA and veLISTA—treat them as optional cost-optimization tools, not something you must commit to from day one. If you’re willing to stay long-term, gradually lock up LISTA to gain rebates and voting rights. If not, don’t lock yourself in just for a small rebate. The protocol is now large, with solid data—but the bigger the pool, the slower you should eat. Rushing leads to choking.

@ListaDAO #USD1理财最佳策略ListaDAO $LISTA

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