When High APY Is Real and When It’s Just Marketing

In late 2025, Stream Finance halted deposits and withdrawals after reporting roughly $93 million in losses tied to an external manager. Its stablecoin, xUSD, depegged sharply at one point, trading near $0.16. The product had been presented as a source of stable, sustainable yield, and users were led to believe the infrastructure behind that yield matched those claims. But that was difficult to verify before the losses came to light.

That incident does not tell us that every high-yield product is fraudulent. Rather, it shows that APY, on its own, says very little. The more useful question is what sits underneath the return. In traditional finance, that answer is often easier to follow. If a bank offers 4% APY, the model is familiar. Your deposit is pooled, lent out at a higher rate, and the institution keeps the spread.

However, crypto yield can come from very different structures. When a product offers 15–25%, the key questions are where that return comes from, whether it depends on real demand, and how it behaves when market conditions change.

Some yield is driven by real activity, and some depends on structures that may not hold up for long. The challenge is separating one from the other.

Why Skepticism Is Even Stronger in 2026

Markets are anxious, and several sentiment trackers still put crypto in “extreme fear.” In that environment, investors usually prioritize capital preservation and tend to read double-digit yields as compensation for risks they may not fully see.

That caution also shows up in positioning. Global stablecoin circulating supply has surpassed $300 billion, suggesting a meaningful share of the market prefers cash equivalents and flexibility over exposure. Against that backdrop, a 15–25% headline yield can draw attention, but it can also raise questions about what supports it.

High APY also carries baggage. Recent cycles linked eye-catching yields to incentives that expire, leverage that unravels, or structures that only hold together in calm markets. As a result, the number itself no longer earns trust. Credibility comes from explaining what drives returns and what would cause them to weaken or break.

A Simple Way to Classify Yield

APY is an output when strategy is the input.

If a vault can’t explain its inputs in plain language, the APY may just be a marketing number. If it can, that does not answer every question, but it does make the product easier to assess on its actual merits.

Most crypto yield falls into three buckets:

• Incentive-funded: emissions, points, and rewards that typically decline when campaigns end.
• Leverage-dependent: looping and balance-sheet structures that can unwind when liquidity tightens.
• Cashflow-based: identifiable sources like market-making fees and spreads, funding/basis capture, or contractual off-chain cashflows in structured RWA products.

A useful clarification: “real yield” does not mean “safe.” It means the return is linked to a mechanism that can produce cashflows without relying on token prices rising.

What Tends to Hold Up in Bear Markets

Bear markets tend to strip the story away. They can also make it easier to see which strategies still have measurable sources of return.

Four types often come into clearer focus in more volatile conditions:

• Market making: earns spreads and fees from trading activity; execution and inventory risk still matter.
• Funding/basis capture: earns from derivatives positioning imbalances; venue and hedging risks remain.
• Asset-backed cashflows: can be less tied to crypto direction; outcomes depend on underwriting, structure, and liquidity terms.
• Real-world assets: earns from contractual off-chain cashflows tied to assets such as private credit or Treasury-backed products, though outcomes still depend on underwriting, structure, and liquidity terms.

These are not new ideas. In many cases, they sit closer to traditional trading and finance than to what most people think of as DeFi yield farming. In crypto, though, these strategies are often packaged into vaults where the main visible number is the headline APY.

That brings the discussion back to the main point: the number matters, but the machine that produces it usually matters more.

What “Explain the Machine” Looks Like in Practice

One way to raise the standard is to look at platforms that try to make strategy and verification observable, even if you never use them.

Altura is one example. Its vault is built around three non-directional strategies: funding rate and basis arbitrage, market making, and real-world assets. Rather than relying on token emissions, the platform derives its yield from live trading activity. That means returns do not depend only on rising token prices, though outcomes still vary with market conditions and execution.

The vault's Price Per Share updates on-chain, which allows users to track NAV changes directly. It also provides an Accountable dashboard that displays reserves, collateral, and exposure in real time. That kind of visibility is important because in cases such as Stream Finance, users had no practical way to verify where assets were held or how they were being managed.

The point is not to take any platform at face value, but to hold it to a higher standard:

• Can the product explain the return driver in plain language?
• Can it name the risks that could change outcomes?
• Can users observe reserves and exposure without relying on marketing?
• Are there clear constraints or just promises?

If a high-APY product cannot answer those questions clearly, the yield becomes harder to assess because the underlying risk is still unclear.

Process over percentage

In risk-off markets, caution is reasonable. But over time, keeping capital on the sidelines also comes with a cost. Across full cycles, better outcomes often come from staying invested within clear risk limits, rather than reacting only to short-term fear.

That is why the goal is not necessarily to chase the highest APY, but to focus on strategies that can be understood, monitored, and tested under stress. In that sense, high APY should not end the conversation. Instead, it should move the discussion from the percentage itself to the process behind it.

In short, a yield product becomes worth evaluating when there is a clear standard behind it: on-chain verification, observable reserves, and strategies that can be named and stress-tested. Without those tools, people are left to rely mostly on trust, and the industry has already shown more than once how that can end.