Crypto runs on two reserve assets, BTC and ETH—and both have halved in value more than once since 2020. Everyone who holds them carries that risk somewhere. Lenders carry it as a haircut, the discount applied to collateral before anyone can borrow against it: Aave, crypto’s largest lending market, will advance about 73 cents against a dollar of WBTC1. Treasuries carry it as runway that can shrink by half in a quarter. Stablecoin issuers carry it as backing that must survive a winter. The volatility is priced into everything, because it has to be.
This article measures what happens when the volatility is removed at the token layer itself, rather than managed with large haircuts after. RiskOFF is the defensive half of The Risk Protocol’s split of BTC and ETH. We compared its volatility with the S&P 500’s and with gold’s, day by day, across six and a half years. The result is not close to what crypto usually looks like.
How we measured it
The token numbers in this article come from our own pricing engine: daily returns for RiskON, RiskOFF, and the BTC and ETH prices they are struck against, from December 31, 2019 to July 8, 2026. That is 2,382 consecutive days—COVID, the 2021 mania, the 2022 unwind, two full cycles. One housekeeping rule matters: when an epoch resets, the tokens are re-priced, and that re-pricing is bookkeeping rather than a gain or a loss, so the series are chain-linked across epoch resets3. The S&P 500 is daily closing prices from FRED, the Federal Reserve’s public data service, over the identical window; gold, used as a second benchmark throughout, is daily futures closes over the same dates4. Volatility, throughout, is the standard measure every risk desk uses: how widely daily returns swing, scaled to a yearly figure so different assets read on one scale. Nothing is cherry-picked—no chosen windows, no excluded days. Every day, crashes included.
One deposit, two temperaments
We split a deposit of BTC or ETH into two tokens with opposite jobs. RiskON is designed to deliver ~2X leverage, without the recurring funding rate, forced collateral top-ups, or liquidations that leveraged positions normally carry—which is why we compared it to a 2X Perp when we published The Leverage Tax earlier. RiskOFF takes the other side. Every 30 days it sets a floor 5% below the current price and a cap of about 8% above5; we call these 30-day cycles an epoch. Inside that band, RiskOFF simply tracks the asset. Beyond either boundary, all the upside and downside goes to RiskON.
The part that matters for what follows: the floor is not bought from anyone. It is paid for with the upside RiskOFF gives up past its cap, inside the same pot of collateral. In options language this is a costless collar—downside protection financed by selling away upside—and this one is costless because the two sides exactly offset, reset at the market price every 30 days. There is no counterparty to trust and no recurring fee bleeding the protection away. It is structural.
Compounding that clamp changes the character of the asset entirely. Here is every settled epoch since the start of 2020—BTC’s raw distribution behind, and what RiskOFF turned each of those same epochs into, in front, on one axis.
ETH, wilder to begin with, compresses the same way.
A token built on top of BTC and ETH that trades like the S&P 500
Over six and a half years, RiskOFF BTC ran at 15.6% annualized volatility and RiskOFF ETH at 16.8%—both below gold’s 18.9%, and both below the S&P 500’s 20.5%.
That window is not a friendly sample. It contains the fastest crash in BTC’s modern history, a nine-fold rally, and a −77% unwind. Through all of it, two tokens whose only ingredients are BTC and ETH held their volatility below the world’s benchmark equity index and below the asset the world reaches for when it wants calm—while BTC itself ran at 59% and ETH at 80%. Measured across the full period, RiskOFF carries about a quarter of BTC’s volatility and about a fifth of ETH’s.
Calm when it counts
A single full-period number can hide a lot, so here is the same comparison as a moving picture: rolling volatility, meaning the figure is recomputed each day over the trailing 90 days, so you can watch it change through time.
Two things in that chart deserve to be said plainly. First, the honest one: the S&P 500 in a calm year is still slightly calmer—its median rolling reading across the sample is 14.2%, against RiskOFF BTC’s 15.5%—and RiskOFF spends about half the sample below the index rather than all of it. On the quietest stretches, the index still wins.
Second, the one that matters for collateral: RiskOFF’s volatility is stable. Across seven calendar years, RiskOFF BTC’s yearly volatility never left a three-point band—14.4% to 17.3%. The S&P 500’s ranged from 12.7% to 34.7% over the same years, and gold’s from 13.2% to 33.9%. When COVID hit in 2020, the S&P 500 ran at 34.7% for the year and gold at 21.4%; RiskOFF BTC ran at 14.6%. In the year of the fastest crash in modern market history, the calmest asset on this page was the token built on BTC.
| Year | RiskOFF BTC | RiskOFF ETH | BTC | ETH | S&P 500 | Gold |
|---|---|---|---|---|---|---|
| 2020 | 14.6% | 16.1% | 68.4% | 94.1% | 34.7% | 21.4% |
| 2021 | 15.4% | 20.8% | 78.7% | 104.2% | 13.1% | 15.0% |
| 2022 | 17.3% | 17.6% | 63.8% | 85.9% | 24.2% | 15.5% |
| 2023 | 14.7% | 13.9% | 43.9% | 45.9% | 13.1% | 13.2% |
| 2024 | 15.8% | 17.1% | 51.4% | 64.1% | 12.7% | 15.0% |
| 2025 | 16.3% | 15.7% | 41.4% | 75.4% | 18.6% | 20.5% |
| 2026 | 14.4% | 14.6% | 49.1% | 64.9% | 14.0% | 33.9% |
Annualized volatility by calendar year (2026 through July 8). A holder does not get to choose which year it is: what it needs is an asset whose bad year looks like its good year. Crypto’s worst row here is 104.2%. RiskOFF’s is 20.8%—and its every row sits below both benchmarks’ worst rows.
The drawdown ledger
Volatility is the summary statistic. Liquidation engines—the systems that force-sell collateral the moment a loan turns undercollateralized—care about the specifics: the worst day, the worst month, and the deepest drawdown, meaning the fall from a peak to the lowest point that follows it. Here is the full ledger, same window, no exclusions.
| RiskOFF BTC | RiskOFF ETH | BTC | ETH | S&P 500 | Gold | |
|---|---|---|---|---|---|---|
| Worst single day | −5.7% | −5.2% | −27.1% | −34.7% | −12.0% | −11.4% |
| 1-day VaR, 99% | −2.5% | −2.8% | −8.4% | −10.9% | −3.5% | −3.4% |
| Worst 7 days | −9.0% | −9.8% | −40.9% | −45.8% | −18.0% | −12.0% |
| Worst 30 days | −12.0% | −10.2% | −50.3% | −57.8% | −33.0% | −16.0% |
| Deepest drawdown | −33.6% | −31.6% | −76.6% | −78.8% | −33.9% | −25.0% |
How to read each row: Worst single day is the largest one-day fall in the sample. 1-day VaR at 99%—value at risk—is the everyday-bad number: a daily loss this size or worse appeared on only 1% of days, roughly three days a year. Worst 7 days and worst 30 days scan every consecutive week and month in the sample and report the deepest fall (5 and 21 trading days for the S&P 500 and gold, which do not trade on weekends). Deepest drawdown is the largest fall from any peak to the low that followed it, however long that took. Everything is measured on daily closing values.
RiskOFF BTC’s worst day in six and a half years was −5.7%, and RiskOFF ETH’s was −5.2%. Gold’s was −11.4%. The S&P 500’s was −12.0%.
Start with the worst-30-days row, because that is the loss a lender, a treasury, or an issuer actually plans around. RiskOFF BTC’s worst month in six and a half years—March 2020 included—was a loss of 12.0%. Gold’s worst month was −16%. The S&P 500’s was −33%. Raw BTC’s was −50.3%.
A fair question at this point: if every epoch has a floor near −5%, how can a single day cost 5.7%? Because the floor pins where an epoch can settle, measured from that epoch’s starting price—it does not pin the path in between. A token that has climbed above its starting price can give those gains back on the way down, so the worst days land just past the floor rather than exactly on it.
The crash test
Averages can hide what a crisis feels like. So here are the five worst market events since 2020; the table shows the deepest fall inside each window—from the highest point to the lowest that followed.
| Event | BTC | RiskOFF BTC | ETH | RiskOFF ETH | S&P 500 | Gold |
|---|---|---|---|---|---|---|
| COVID crash, Mar 2020 (46 days) | −52.4% | −12.6% | −60.3% | −8.5% | −33.9% | −11.8% |
| May 2021 cascade (80 days) | −49.6% | −17.7% | −58.2% | −10.5% | −4.0% | −7.6% |
| LUNA collapse, May 2022 (60 days) | −52.4% | −8.4% | −65.4% | −9.0% | −14.7% | −4.1% |
| FTX failure, Nov 2022 (60 days) | −26.2% | −10.2% | −32.9% | −11.1% | −7.3% | −2.1% |
| Yen-carry unwind, Aug 2024 (26 days) | −20.3% | −6.7% | −33.3% | −10.4% | −6.8% | −2.5% |
Peak-to-trough inside each window, daily closes. These are the five deepest market events in the sample; none were skipped.
The pattern holds in every row. The assets RiskOFF is built from lose a quarter to two-thirds of their value; RiskOFF loses between 7% and 18%. In the crypto-native crises—COVID and LUNA—it also came in well under the S&P 500. In the milder, macro-led events the index fell less than RiskOFF did, and gold was steadier still. But in no event did RiskOFF come anywhere near the damage of its own underlying, and that is the property a holder of BTC or ETH is buying.
Another way to count the same thing: in six and a half years, BTC had 93 days worse than −5% and ETH had 177. RiskOFF BTC and RiskOFF ETH had one each—gold had 3, and the S&P 500 had 6. Days worse than −10%: BTC had 12, ETH had 31, RiskOFF had none on either asset. Those are the days that do the damage: liquidation engines fire, margin calls land, treasury runways shrink. The raw assets logged 270 of them; RiskOFF logged two.
Underneath all of these tables sits one number. RiskOFF’s daily beta—how much it moves when its underlying asset moves—is 0.21 on BTC and 0.17 on ETH. When BTC falls 10% in a day, RiskOFF BTC falls about 2%. That is the kind of behavior that could break the loop that makes crypto crashes feed on themselves, where falling collateral forces sales that push the collateral down further. And RiskOFF BTC’s correlation to the S&P 500 is 0.33, a touch lower than BTC’s own 0.37—calmer without becoming an echo of traditional markets.
BTC family
ETH family
What the calm costs
None of this is free, and it is worth being precise about what was paid. One dollar held in RiskOFF continuously—every day, both bears included—grew to $1.68 on BTC and $2.08 on ETH, against $2.32 for the S&P 500, $2.68 for gold, and $8.69 and $14.48 for raw BTC and ETH. RiskOFF surrendered the majority of the underlying’s upside, and that is not a flaw; it is the trade—and the surrendered upside does not vanish. It accrues to the other token. Run RiskON the way The Leverage Tax study measures it—held through each of the 13 bull markets that a simple trend rule identifies (price above a rising 200-day average), parked in cash between them—and the same $1 grows to $53 on BTC and $97 on ETH. The chart below puts both halves on one canvas: the split does exactly what it promises. One token concentrates the upside; the other concentrates the stability. RiskOFF’s product is its shape—and its shape is the one thing six years of crypto could not bend.
More than a lending story
Collateral for loans is the sharpest version of the need, but it is not the only one. Anyone who wants to stay in crypto without riding its full swings has the same problem in a different shape.
A protocol treasury holding BTC or ETH is, in effect, betting its payroll on the next crash being gentle. Moving into stablecoins protects the runway but gives up every point of upside—and steps out of the assets the protocol believes in. RiskOFF sits between those two choices: a floor under every epoch, participation in gains up to the cap, and—in this data—$1 growing to $1.68 on BTC and $2.08 on ETH through two full bear markets, at below-gold volatility. Part of a treasury’s runway could live there instead of choosing between all-crypto and all-cash.
Stablecoin issuers face the same shape of problem from the other side: they need backing that holds its value through a crypto winter. And the stable option is not as riskless as it looks—USDC, the second-largest stablecoin, traded near 88 cents during the March 2023 banking scare, a worse day than either RiskOFF token had in six and a half years. A stablecoin also leaves money standing still: $1 parked there is still $1 years later, while $1 in RiskOFF grew to $1.68 on BTC and $2.08 on ETH.
The same logic reaches trading venues. Exchanges and brokers haircut posted margin—the collateral behind a derivatives position—by how violently it moves, exactly as lenders do. Collateral with a quarter of the volatility should take smaller haircuts, free more borrowing power per dollar posted, and be far less likely to be force-sold into a falling market. Anywhere BTC and ETH serve as margin today, a calmer claim on the same assets could do the same job with less friction.
The common thread across all of these uses is simple. RiskOFF is a way to store value on crypto rails without carrying crypto’s volatility. Lending is just where that value can be priced most precisely, because lending is where the cost of volatility is published, in public, by formula. So take Aave as the worked example.
Reading the lender’s own ruler
On-chain money markets set collateral parameters through a formal, quantitative process. Aave’s framework—built by Chaos Labs and now operated by LlamaRisk—stress-tests each asset in large-scale simulations: synthetic markets populated with borrower and liquidator agents, price paths fitted to the asset’s real volatility behavior, and forced sales routed through real on-chain liquidity. Out of that come two numbers per asset—the loan-to-value ratio, or LTV, which is how much can be borrowed per dollar of collateral, and the liquidation threshold, the level past which a position is forcibly closed—chosen so that the worst 1% of simulated daily losses stays under a hard bound. Strip the machinery away and two asset-level inputs dominate: how violently the collateral moves, and how deeply it trades. Volatility sets the parameters a mature asset can earn; liquidity decides whether it may earn them at all.
Aave’s own asset framework makes the volatility half of that explicit. Its listing matrix grades assets from A+ to D−, and one of the graded columns is normalized daily volatility—volatility expressed per day rather than per year, so every asset reads on the same scale. Place six and a half years of measured data on that ruler:
On the volatility column of the framework’s own listing matrix, both RiskOFF tokens grade in the A band—beside gold and the S&P 500, two full bands above the assets they are built from.
Now put the current parameters next to that. Aave lends up to 80.5% against WETH with a liquidation threshold of 83%, and about 73% against WBTC with a threshold of 78%. The two numbers differ by design: the LTV caps what can be borrowed on day one, and the threshold is the level at which forced selling begins—the gap between them is a deliberate buffer, so a loan taken at the maximum is not liquidated by the first small move against it. Those numbers price 59% and 80% volatility with fat tails—a far higher chance of extreme moves than a calm distribution would suggest. They are the correct haircuts for the raw assets—that is exactly the point. A collateral with a quarter of the volatility, a −5.7% worst day, and a worst month shallower than gold’s is a different risk from the asset it is built on. On the risk numbers alone, there is a case for it to sit in a better band.
What stands between here and a higher LTV
We want to be clear about what this article is and is not claiming. It is a study of a volatility profile, not a listing request—we are not asking Aave, or anyone else, to onboard RiskOFF today. A volatility profile is one of several gates to blue-chip collateral status, and it is the one this data speaks to. The others are earned over time:
- Liquidity. Parameters are only as good as the liquidation route behind them. A recent example shows how seriously risk teams take this: in June 2026, LlamaRisk—Aave’s risk provider—set WETH’s LTV to zero on Aave’s Mantle deployment, meaning WETH there could no longer back new borrowing. The problem was not WETH itself but the local market around it: only about 7.7 WETH of swap depth—the amount that can be sold on-chain without moving the price—was available on that network, too thin to liquidate through safely. Depth gates everything, and RiskOFF’s on-chain depth must be built and then proven under stress.
- Track record. The same listing matrix that grades volatility also grades age, holders, and traded volume; its top grades want years of live history. Six years of NTV data make the case; only battle-tested markets close it.
- Plumbing. We already compute NTV every day; what a lender needs is that number delivered as a robust oracle—the live on-chain data feed a lending protocol reads for prices—plus a liquidation path it can simulate. Integration work rather than invention—the unglamorous part of becoming infrastructure.
Those gates will take time, and they should. But they are operational gates, not structural ones—every one of them closes with adoption. The volatility profile is the part no amount of adoption can manufacture, and it is already in the data: six and a half years, 2,382 days, two full cycles—and RiskOFF exhibits gold-and-index-grade calm with the most volatile major assets, BTC and ETH, as the underlying.
So here is the claim, stated as precisely as we can make it. Once RiskOFF’s liquidity becomes deep enough to liquidate through and its market history is long enough to grade, a lender applying its own framework consistently should logically assign RiskOFF a higher LTV—and smaller haircuts wherever collateral is haircut—than BTC or ETH themselves. That is not special treatment for a new asset; it is the framework doing what it already does, applied to a different risk profile.
Crypto does not have a shortage of collateral. It has a shortage of collateral that behaves. The calm half was built for exactly that seat. Stability has a new home.
1 Aave V3 Ethereum core market parameters as commonly configured at the time of writing (July 2026); live values are on the Aave parameters dashboard and move with governance. Chaos Labs served as an Aave risk provider from November 2022 to April 2026; LlamaRisk is the primary risk provider today. The volatility bands shown later in the article are from the Aave asset risk matrix as reproduced in the Chaos Labs Aave V3 Risk Parameter Methodology (February 2023).
2 The floor holds on any continuous path, and the protection is honored by the structure itself rather than by anyone’s promise. If the underlying falls to a knock-out barrier roughly 52.5% below an epoch’s starting price, RiskON transfers its share of the underlying to RiskOFF and its own value goes to near zero; the epoch terminates, and a new one starts immediately, with both tokens reset. At the barrier itself, what RiskOFF receives is worth exactly its floor—only a discontinuous gap through the barrier can leave it below that level. On daily closes, the deepest declines inside an epoch in this sample were −43% (BTC, March 2020) and −49% (ETH, June 2022); the structure settled and reset early during the March 2020 crash on ETH. How the barrier behaves through a violent intraday move is exactly the tail a risk framework models, and it is why battle-testing belongs on the roadmap above.
3 Every figure uses each token’s daily returns as our own pricing engine computes them—marked daily, re-struck at each epoch, and applied across the full study history—rather than a simplified model. When an epoch resets, the tokens are re-priced; that re-pricing changes denominations, not holder value, so the return series are chain-linked across resets and those jumps are excluded. The underlying BTC and ETH series are the same engine price feed the tokens are struck against. NTV—each token’s Net Token Value—is built exactly as the protocol prices it, with the collar options priced from a two-component GJR-GARCH volatility forecast in a Black-76 and barrier-option framework, and it is the value a lender’s oracle would reference; a listed token’s market price can trade around it. The study is gross of protocol fees—computed before any fees.
4 Crypto trades every day of the year, the S&P 500 and gold about 252 days, so each series is annualized on its own calendar. Sampling all series on NYSE trading days only and annualizing everything at √252 gives 16.0% for RiskOFF BTC, 16.8% for RiskOFF ETH, 59.4% for BTC, and 80.4% for ETH—the same ordering, so the headline is not a weekend-counting artifact. Gold is front-month futures daily closes.
5 The −5% floor and +8% cap are the representative levels used throughout this article. In practice, the cap is set afresh at the start of each epoch so that the collar prices to zero: the premium for the upside RiskOFF gives up is exactly equal to the cost of the protection it receives, so the effective band moves a little from epoch to epoch—settled RiskOFF epochs in this study ran from −5.5% to +7.6% on BTC and −5.5% to +8.3% on ETH. Epochs typically run 30 days; in stressed markets the structure can also settle and reset early, as it did once in this sample, in the March 2020 crash on ETH.