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. Lending protocols 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 afterward. 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 NTVs for RiskON, RiskOFF, and the BTC and ETH prices they are struck against2, 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 matter to point out: when an epoch resets, the tokens are re-priced, so the RiskON/RiskOFF return series is constructed by chain-linking across epochs. 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 dates3. 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 question worth answering before any chart: every token figure here is our engine’s NTV, not a traded price, so is the level ours to choose? It is not, because the split conserves value by construction. RiskON and RiskOFF are mirror-image claims on the same pot of collateral: their option values cancel, the pair always sums to one coin, and both legs are re-struck 50/50 every 30 days. The engine never invents a level; it only divides a liquid, observable total, the BTC or ETH price itself, between the two legs, and the pair can be redeemed for the underlying at any time.
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 outside the strikes, 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 6% above4; 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. It 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 15.9% annualized volatility and RiskOFF ETH at 17.2%. Both sit below gold’s 18.9%, and both sit 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 62% and ETH at 83%. Measured across the full period, RiskOFF carries about a quarter of BTC’s volatility and about a fifth of ETH’s.
That calm is not a fortunate sample; it is manufactured. The collar bounds what every epoch can be worth at settlement: floor below, cap above, and near either boundary the token’s exposure to its underlying shrinks toward zero. Measure a different six years, and the returns would change; the boundedness would not. The volatility reduction is structural, a property of the design rather than of the window, which is why it holds through COVID, LUNA, and FTX alike and not only on quiet stretches.
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 15.8%, 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 four-point band, 13.8% to 17.7%. 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 15.4%. 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 | 15.4% | 17.9% | 80.7% | 106.0% | 34.7% | 21.4% |
| 2021 | 16.3% | 21.6% | 81.1% | 108.7% | 13.1% | 15.0% |
| 2022 | 17.7% | 18.1% | 64.6% | 87.5% | 24.2% | 15.5% |
| 2023 | 14.6% | 13.9% | 43.6% | 46.6% | 13.1% | 13.2% |
| 2024 | 16.0% | 16.9% | 53.0% | 64.4% | 12.7% | 15.0% |
| 2025 | 16.5% | 15.3% | 41.9% | 74.6% | 18.6% | 20.5% |
| 2026 | 13.8% | 13.8% | 48.8% | 65.5% | 14.0% | 33.9% |
Annualized volatility by calendar year (2026 through July 8). A holder does not get to choose a particular year's volatility: what it needs is an asset whose bad year looks like its good year. Crypto’s worst row here is 108.7%. RiskOFF’s is 21.6%, 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 | −6.0% | −7.1% | −38.8% | −43.8% | −12.0% | −11.4% |
| 1-day VaR, 99% | −2.6% | −2.8% | −8.4% | −11.1% | −3.5% | −3.4% |
| Worst 7 days | −9.1% | −9.8% | −46.4% | −52.2% | −18.0% | −12.0% |
| Worst 30 days | −12.1% | −10.1% | −52.7% | −56.0% | −33.0% | −16.0% |
| Deepest drawdown | −33.6% | −31.5% | −76.7% | −78.9% | −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 look at every overlapping 7-day and 30-day window in the sample, a new window starting each day, and report the deepest fall (5 and 21 trading days for the S&P 500 and gold, so the windows there span the same calendar week and month). 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 −6.0%, and RiskOFF ETH’s was −7.1%. 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 12.1%. Gold’s worst month was −16%. The S&P 500’s was −33%. Raw BTC’s was −52.7%.
A fair question at this point: if every epoch has a floor near −5%, how can a single day cost 6% or 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 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) | −53.2% | −12.7% | −61.8% | −10.8% | −33.9% | −11.8% |
| May 2021 cascade (80 days) | −49.5% | −17.8% | −57.3% | −10.5% | −4.0% | −7.6% |
| LUNA collapse, May 2022 (60 days) | −52.2% | −8.4% | −65.4% | −9.1% | −14.7% | −4.1% |
| FTX failure, Nov 2022 (60 days) | −26.0% | −10.2% | −33.1% | −11.1% | −7.3% | −2.1% |
| Yen-carry unwind, Aug 2024 (26 days) | −20.8% | −7.4% | −33.7% | −10.5% | −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 108 days worse than −5% and ETH had 181. RiskOFF BTC had one, and RiskOFF ETH had three; gold had 3, and the S&P 500 had 6. Days worse than −10%: BTC had 13, ETH had 33, 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 289 of them; RiskOFF logged four.
Underneath all of these tables sits one number. RiskOFF’s daily beta, how much it moves when its underlying asset moves, is 0.20 on BTC and 0.16 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 0.38, calmer without becoming an echo of traditional markets.
The two charts below put all of this in one picture: every fall from a running peak across the whole window, 2020–2026, BTC first and then ETH. The shaded region is the raw asset; the dark line is RiskOFF riding the same storms.
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 bear markets included, the 2022 unwind and the 2025–2026 slide, from December 31, 2019 to July 8, 2026, 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 $14.50 for raw BTC and ETH. RiskOFF surrendered the majority of the underlying’s upside, and that is not a flaw; it is the trade. The surrendered upside does not vanish; it accrues to the other token. Run RiskON the way The Leverage Tax study measures it, meaning held through each of the 13 bull markets that a simple trend rule identifies (price above a rising 200-day average) and parked in cash between them, 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.
Growth alone is not the full report card, so here are the same assets with the risk that came with the ride. The average 3-month T-bill paid 2.9% a year over the window. Sharpe is each asset’s return above that, divided by its volatility; Sortino divides the same excess return by downside deviation, computed on daily returns below the daily T-bill rate, full sample, annualized; Calmar is growth divided by the deepest drawdown. Higher is better on all three.
| $1 became | CAGR | Volatility | Sharpehigher is better | Sortinohigher is better | Deepest drawdown | Calmarhigher is better | |
|---|---|---|---|---|---|---|---|
| RiskOFF BTC | $1.68 | 8.3% | 15.9% | 0.33 | 0.46 | −33.6% | 0.25 |
| RiskOFF ETH | $2.08 | 11.9% | 17.2% | 0.52 | 0.74 | −31.5% | 0.38 |
| BTC | $8.69 | 39.3% | 62.0% | 0.59 | 0.87 | −76.7% | 0.51 |
| ETH | $14.50 | 50.7% | 83.0% | 0.58 | 0.86 | −78.9% | 0.64 |
| S&P 500 | $2.32 | 13.7% | 20.5% | 0.53 | 0.74 | −33.9% | 0.41 |
| Gold | $2.68 | 16.3% | 18.9% | 0.71 | 0.98 | −25.0% | 0.65 |
Full-period figures, December 31, 2019 to July 8, 2026. RiskOFF ETH sits level with the S&P 500 on both lenses, Sharpe 0.52 against 0.53 and Sortino 0.74 against 0.74, while living entirely on crypto rails. The raw assets score higher because the window was a secular bull; a capped claim is not built to outrun its own underlying, and gold leads every risk-adjusted lens this window. What the cap buys is the left tail: the worst-day and drawdown rows in the ledger above.
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 applies to 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 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. Both are 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 62% and 83% 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 −6.0% 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, and it is already served through our API, price fields and their decomposition included; what a lender still 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 Returns are calculated using Net Token Values (NTVs) computed by our risk engine. Market prices might deviate from NTVs periodically although arbitrage activity is expected to bring them back in line. The RiskON and RiskOFF series are chain-linked across epoch resets; the reset itself is bookkeeping, and nothing is gained or lost at that moment. Wherever a reset would leave a holder with any RiskON, we assume it is swapped back into RiskOFF immediately, and we ignore the minuscule cost that might be involved in getting rid of the unwanted token.
3 The headline numbers use each asset’s own calendar: crypto trades every day of the year, so it is annualized on 365 days; the S&P 500 and gold trade about 252 days, so they are annualized on 252. As a separate sanity check we re-ran everything on NYSE trading days only at √252: 16.2% for RiskOFF BTC, 17.2% for RiskOFF ETH, 62.3% for BTC, and 83.7% for ETH. The ordering is identical, so the result is not caused by crypto trading on weekends. Every number in the article is the own-calendar figure.
4 The −5% floor and +6% cap drawn in the charts are representative levels. In the live data the downside floor strike was 5% in every epoch, while the upside cap is solved 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. Across 2020 to 2026 the solved caps averaged 6.0% on BTC (ranging from 5.6% to 7.6%) and 6.4% on ETH (ranging from 5.4% to 12.8%).
5 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 almost all the value of its share of the underlying to RiskOFF, all but 1%, so RiskON goes close to zero but never to zero; the epoch terminates, and a new one starts immediately, with both tokens reset. ↩