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Compare · CIFR vs RIOT · 2026

Cipher Mining vs Riot Platforms

A year of returns, risk, and volatility, compared.

Cipher Mining (CIFR) and Riot Platforms (RIOT) are compared across trailing return, volatility, drawdown, and risk-adjusted metrics.

Gale Finance Team
Written by Gale Finance Team
Sid Kalla
Reviewed by Sid Kalla CFA Charterholder
Quick answer

Which is a better investment: CIFR or RIOT?

Over the past year, CIFR outperformed RIOT. CIFR returned +506.8% compared with RIOT’s +134.4%. CIFR had the better risk-adjusted return, with a Sharpe ratio of 2.18 versus RIOT’s 1.40. RIOT was less volatile than CIFR, and RIOT had a smaller max drawdown than CIFR.

Total Return
CIFR +506.8%
RIOT +134.4%
Sharpe Ratio
CIFR 2.18
RIOT 1.40
Annualized Volatility
CIFR 108.2%
RIOT 82.8%
Max Drawdown
CIFR -51.4%
RIOT -48.6%

Metric winners: Total Return: CIFR; Sharpe Ratio: CIFR; Annualized Volatility: RIOT (less volatile); Max Drawdown: RIOT (smaller drawdown).

CIFR Total Return
+506.8%
RIOT Total Return
+134.4%

Relative Performance of CIFR vs RIOT (Normalized to 100)

CIFR RIOT

Normalized to 100 at start date for comparison

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Key Takeaways

  • Total Return: CIFR delivered a +506.8% total return, while RIOT returned +134.4% over the same period. CIFR outperformed on total returns.
  • Risk-Adjusted Return (Sharpe Ratio): CIFR had a higher Sharpe (2.18 vs 1.40), indicating better risk-adjusted performance.
  • Volatility (Annualized): CIFR was more volatile, with 108.2% annualized volatility, versus 82.8% for RIOT.
  • Maximum Drawdown: RIOT's maximum drawdown was -48.6%, while CIFR experienced a deeper drawdown of -51.4%.
  • Tail Risk (VaR & Expected Shortfall): At the 5% level (daily log returns), CIFR's VaR was -10.21% and its Expected Shortfall (CVaR) was -12.73%; RIOT's were -7.92% and -10.75%. VaR is the cutoff; Expected Shortfall is the average move on the worst days.
  • Skew & Kurtosis: Skew: CIFR 0.22 vs RIOT -0.10. Excess kurtosis: CIFR 0.32 vs RIOT 0.94. Negative skew leans downside; higher excess kurtosis means fatter tails.
  • Tail Days & Extremes: 2σ tail days (down/up): CIFR 6/9, RIOT 5/6. Worst day: CIFR -17.54% (2025-09-25) vs RIOT -17.75% (2025-08-01). Best day: CIFR +22.04% (2025-11-03) vs RIOT +19.82% (2026-02-06).
  • Risk ratios: Sortino - CIFR: 3.76 vs. RIOT: 2.17 , Calmar - CIFR: 10.00 vs. RIOT: 2.79 , Sterling - CIFR: 20.90 vs. RIOT: 5.86 , Treynor - CIFR: 0.60 vs. RIOT: 0.30 , Ulcer Index - CIFR: 25.00% vs. RIOT: 24.27%

Investment Comparison

If you invested $10,000 in each asset on April 25, 2025:

CIFR $60,681.82 +506.8%
RIOT $23,436.29 +134.4%

Difference: $37,245.53 (CIFR ahead)

Cipher Mining vs Riot Platforms Performance Over Time

Metric CIFR RIOT
30 Days 25.6% 27.1%
90 Days 6.4% 5.4%
180 Days -9.5% -15%
1 Year 506.8% 134.4%

Shorter time frames can show different leaders as market conditions change. Consider your investment horizon when comparing performance.

Cipher Mining vs Riot Platforms Correlation

Average Correlation
strongly correlated
0.77
Current (30-day) 0.89
30-day rolling range +0.62 to +0.91

Cipher Mining and Riot Platforms are strongly correlated over the past year. With a correlation of 0.77, these assets tend to move together, limiting diversification benefits.

For portfolio construction, this strong correlation means holding both CIFR and RIOT provides limited risk reduction — they're likely to decline together in downturns.

Metric Value
Current (30-day) 0.89
Average (full period) 0.77
Minimum (30-day rolling) 0.62
Maximum (30-day rolling) 0.91

Correlation measures how closely two assets move together. Values near +1 indicate strong co-movement, near 0 indicates independence, and negative values indicate inverse movement. Current, minimum, and maximum figures are 30-day rolling correlations on shared daily returns.

Drawdown

Maximum Drawdown
CIFR
-51.4%
RIOT
-48.6%

Cipher Mining experienced its maximum drawdown of -51.4% from 2025-11-05 to 2026-03-30. It has not yet recovered to its previous peak.

Riot Platforms experienced its maximum drawdown of -48.6% from 2025-10-27 to 2026-03-30. It has not yet recovered to its previous peak.

Smaller drawdowns and faster recoveries indicate lower downside risk and greater resilience during market stress.

Cipher Mining vs Riot Platforms Volatility (CIFR vs RIOT)

CIFR Volatility
108.2%
±6.81% 1-day vol
RIOT Volatility
82.8%
±5.21% 1-day vol
1-day volatility (1σ)
CIFR
±6.81%
RIOT
±5.21%

Cipher Mining's 108.2% annualized volatility translates to about ±6.81% one-standard-deviation daily volatility.

Riot Platforms's 82.8% annualized volatility translates to about ±5.21% one-standard-deviation daily volatility.

CIFR had the wider volatility profile over this window. That means its day-to-day return distribution was broader; RIOT was calmer, but lower volatility does not by itself mean better returns.

Treat the ± daily figure as a one-standard-deviation estimate from historical returns, not a forecast or expected absolute daily move. For context, 15-18% annualized volatility is roughly ±1% one-standard-deviation daily volatility.

Risk-adjusted ratios

Sharpe Ratio of CIFR and RIOT

Sharpe Ratio: CIFR vs. RIOT

Return per total volatility

Sharpe gives us excess return per unit of risk. Upside and downside volatility both count as risk.

Higher is better
Excess return Annualized volatility 0 125% vol 108.2% · excess +235.9% vol 82.8% · excess +116.2%
excess return / total volatility
Formula Sharpe=E[R]RfσR\displaystyle \mathrm{Sharpe} = \frac{\mathbb{E}[R] - R_f}{\sigma_R}

Sharpe ratio measures return per unit of risk (volatility). A higher Sharpe indicates better risk-adjusted performance. CIFR had a higher Sharpe (2.18 vs 1.40), indicating better risk-adjusted performance.

A Sharpe above 1.0 is generally considered good, above 2.0 is excellent. Negative Sharpe means the asset underperformed the risk-free rate. Calculated on each asset's full 365-day lookback of available prices and annualized using the asset calendar (365 for crypto, 252 trading days for equities/ETFs/metals).

Sortino Ratio of CIFR and RIOT

Sortino Ratio: CIFR vs. RIOT

Return per downside volatility

Sortino keeps the return-over-risk idea, but only returns below the target rate count as volatility.

Higher is better
Frequency (days) Daily return (%) target -19.3% +23.6% 30 0
excess return / downside volatility
Formula Sortino=E[R]Rfσdown\displaystyle \mathrm{Sortino} = \frac{\mathbb{E}[R] - R_f}{\sigma_{\mathrm{down}}}

Sortino ratio measures return per unit of downside risk. Unlike Sharpe, it only counts downside deviation (returns below the target return). CIFR had better downside-adjusted returns.

A higher Sortino is better. It's useful when upside volatility is common (crypto is the obvious example). Downside deviation: CIFR 62.8% vs RIOT 53.5%. Calculated on each asset's full 365-day lookback of available prices, using the daily risk-free rate as the target return, and annualized using the asset calendar (365 for crypto, 252 trading days for equities/ETFs/metals).

Calmar Ratio of CIFR and RIOT

Calmar Ratio: CIFR vs. RIOT

CAGR per worst drawdown

Calmar compares CAGR against the single deepest peak-to-trough loss over the period.

Higher is better
0% CIFR +513.6% -51.4% RIOT +135.6% -48.6%
CAGR / max drawdown
Formula Calmar=CAGRMaxDD\displaystyle \mathrm{Calmar} = \frac{\mathrm{CAGR}}{|\mathrm{MaxDD}|}

Calmar ratio compares CAGR to maximum drawdown. Higher Calmar means more return per unit of worst drawdown. CIFR posted the higher Calmar ratio.

Calmar is computed on each asset's full 365-day lookback and uses the max drawdown over that same window.

Sterling Ratio of CIFR and RIOT

Sterling Ratio: CIFR vs. RIOT

Return per average drawdown

Sterling smooths the drawdown penalty by using average drawdown events instead of only the worst one.

Higher is better
0% -13% -27% -40% -54% 10% drawdown threshold
excess annual return / average deep drawdown
Formula Sterling=CAGRRfD>10%\displaystyle \mathrm{Sterling} = \frac{\mathrm{CAGR} - R_f}{\overline{D}_{>10\%}}

Sterling ratio measures excess return per unit of average drawdown (typically drawdowns worse than 10%). CIFR posted the higher Sterling ratio.

Sterling uses average drawdown events deeper than 10% and subtracts the risk-free rate to report excess return.

Treynor Ratio of CIFR and RIOT

Treynor Ratio: CIFR vs. RIOT

Excess return per market beta

Treynor divides excess annualized return by beta — the sensitivity of the asset to broad-market moves. The slope shown is each asset’s beta vs SPY.

Higher is better
Asset return Market return 0 0 β 3.96 β 3.83
excess return / market beta
Formula Treynor=E[R]Rfβ\displaystyle \mathrm{Treynor} = \frac{\mathbb{E}[R] - R_f}{\beta}

Treynor ratio measures excess return per unit of market risk (beta) instead of total volatility. CIFR posted the higher Treynor ratio.

Treynor uses beta vs the S&P 500 (SPY) on shared dates and the average 3-month Treasury rate as the risk-free rate.

Ulcer Index of CIFR and RIOT

Ulcer Index: CIFR vs. RIOT

Drawdown pain

Ulcer Index is a risk index, not a return-over-risk ratio. Lower means smaller and shorter drawdowns.

Lower is better
0% -13% -27% -40% -54%
root-mean-square drawdown
Formula UI=E[Dt2]\displaystyle \mathrm{UI} = \sqrt{\mathbb{E}[D_t^2]}

Ulcer Index captures drawdown depth and duration. Lower Ulcer Index means less drawdown pain. RIOT had the lower Ulcer Index (less drawdown pain).

Ulcer Index is computed from each asset's drawdown series over the full lookback window.

Tail Risk & Distribution Shape (1-Year): Cipher Mining vs. Riot Platforms

This section looks at the shape of daily returns, not just the average. Tail stats are computed per asset on its own daily series (crypto includes weekends). We use daily log returns ln(PtPt1)\ln\left(\frac{P_t}{P_{t-1}}\right) so multi-day moves add cleanly.

Definitions: Value at Risk (VaR), Expected Shortfall, skew, kurtosis, and fat tails.

Tail Risk & Distribution Shape: CIFR vs. RIOT (1-Year)

Actual daily return tails

The bars are real daily log-return observations from the article window. Darker bars are observations at or beyond each asset’s 5% VaR cutoff.

Observed returns
CIFR VaR 5% ES 5% RIOT VaR 5% ES 5% -23.2% 0% +23.2% Daily log return
VaR marks the 5th percentile loss cutoff; Expected Shortfall averages the observations beyond that cutoff.
Formula VaR5%=Q0.05(rt),ES5%=E[rtrtVaR5%]\displaystyle \mathrm{VaR}_{5\%}=Q_{0.05}(r_t),\quad \mathrm{ES}_{5\%}=\mathbb{E}[r_t\mid r_t\le \mathrm{VaR}_{5\%}]
Metric (1-Year) CIFR RIOT
5% VaR (daily log return) -10.21% -7.92%
5% Expected Shortfall (CVaR) -12.73% (worst 13 days) -10.75% (worst 13 days)
Skew 0.22 -0.10
Excess kurtosis 0.32 0.94
2σ tail days (down / up) 6 / 9 5 / 6
Worst day -17.54% (2025-09-25) -17.75% (2025-08-01)
Best day +22.04% (2025-11-03) +19.82% (2026-02-06)

Downside co-moves (2σ) — 1-Year

Computed on shared dates only (n=249). A “2σ downside move” means a shared-close log return more than 2 standard deviations below that asset’s own mean on this shared-date series. Dates below show simple returns (%) for readability.

Downside co-move map: CIFR vs. RIOT (2σ)

Shared-close daily returns

Dots mark actual downside days: asset-colored dots are one-sided downside moves, and red dots are joint downside days. Grey dots add sampled shared-return context when available. The shaded lower-left zone shows where both CIFR and RIOT crossed their own 2σ downside threshold.

-2σ RIOT -2σ CIFR Joint downside zone -22.3% 0% +22.3% +22.0% 0% -22.0% RIOT daily log return CIFR daily log return
Show downside tail dates

Dates below are shared-date observations. The “Date” is the period end (close). Tail thresholds are computed on log returns, but the table shows simple returns (%) for readability. Returns are computed from the previous shared close to this one (for example, Friday → Monday includes weekend moves).

Days when both CIFR and RIOT had a big down day (2σ)

Date (interval) CIFR RIOT
2025-11-13 -14.10% -10.22%
2025-12-12 → 2025-12-15 -13.55% -10.39%

Days when CIFR had a big down day

Date (interval) CIFR RIOT
2025-09-25 -17.54% -6.95%
2025-11-06 -12.14% -8.59%
2025-11-13 -14.10% -10.22%
2025-12-12 → 2025-12-15 -13.55% -10.39%
2026-02-04 -12.36% -7.82%
2026-03-27 → 2026-03-30 -12.59% -7.58%

Days when RIOT had a big down day

Date (interval) CIFR RIOT
2025-08-01 -9.71% -17.75%
2025-10-16 -10.98% -11.66%
2025-11-13 -14.10% -10.22%
2025-12-12 → 2025-12-15 -13.55% -10.39%
2026-02-05 -10.88% -14.71%

Read this as “how ugly the ugly days get”, not as a precise forecast. One-year samples are small, so tail estimates are inherently noisy.

Full Comparison of Cipher Mining vs. Riot Platforms (1-Year)

Metric CIFR RIOT
Total Return +506.8% +134.4%
Annualized Volatility 108.2% 82.8%
Sharpe Ratio 2.18 1.40
Sortino Ratio 3.76 2.17
Calmar Ratio 10.00 2.79
Sterling Ratio 20.90 5.86
Treynor Ratio 0.60 0.30
Ulcer Index 25.00% 24.27%
Max Drawdown -51.4% -48.6%
Avg Correlation to S&P 500 0.41 0.53
5% VaR (daily log return) -10.21% -7.92%
5% Expected Shortfall (CVaR) -12.73% -10.75%
Skew 0.22 -0.10
Excess kurtosis 0.32 0.94
2σ tail days (down / up) 6 / 9 5 / 6
Audit this calculation

Formulas, inputs, and conventions used to compute the metrics on this page.

Inputs & conventions

Shared window for pair metrics
2025-04-25 → 2026-04-23 (last shared close).
Rolling correlation sample (shared closes)
220 rolling 30-day values (from 249 shared daily returns).
Annualization (days/year)
CIFR: 252 days/year; RIOT: 252 days/year.
Risk-free rate
Uses the 3-month U.S. Treasury yield (FRED: DGS3MO), averaged over each asset’s window:
  • CIFR: 4.17% over 2025-04-25 → 2026-04-23.
  • RIOT: 4.17% over 2025-04-25 → 2026-04-23.
Volatility drag (rule of thumb)
Estimated from annualized volatility (simple returns). For the log-return framing, see Log returns.
  • CIFR: ≈ -58.5%/yr
  • RIOT: ≈ -34.3%/yr
Data alignment
No forward fill. Correlation and tail co-moves are computed on shared closes only.
For cross-calendar pairs (e.g., crypto vs stocks), weekend/holiday moves roll into the next shared close.
Return conventions
Volatility/Sharpe/Sortino use simple daily returns. Tail-risk uses daily log returns for distribution stats (but tables show simple returns). Log returns.

Formulas

Daily simple return
rt=PtPt11r_t = \frac{P_t}{P_{t-1}} - 1
σann=σ(rt)A\sigma_{ann} = \sigma(r_t)\sqrt{A}
drag12σann2\text{drag} \approx \tfrac{1}{2}\sigma_{ann}^2
S=Arˉrfσ(rt)AS = \frac{A\,\bar{r} - r_f}{\sigma(r_t)\sqrt{A}}
So=ArˉrfE[min(0,rtrf/A)2]ASo = \frac{A\,\bar{r} - r_f}{\sqrt{\mathbb{E}[\min(0,\,r_t - r_f/A)^2]}\,\sqrt{A}}
MDD=mint(PtmaxstPs1)MDD = \min_t\left(\frac{P_t}{\max_{s \le t} P_s} - 1\right)
ρ=cov(rA,rB)σAσB\rho = \frac{\operatorname{cov}(r^A,\,r^B)}{\sigma_A\,\sigma_B}
t=ln(PtPt1)\ell_t = \ln\left(\frac{P_t}{P_{t-1}}\right)
Notation
PtP_t
Price on day t.
rtr_t
Simple daily return.
t\ell_t
Log daily return.
rˉ\bar{r}
Average daily return.
σ(rt)\sigma(r_t)
Standard deviation of daily returns.
AA
Annualization factor (days/year).
rfr_f
Annual risk-free rate.

Cipher Mining vs Riot Platforms: Frequently Asked Questions

Which has higher volatility: CIFR or RIOT?

CIFR showed higher volatility at 108.2% annualized, compared to 82.8% for RIOT Over the past year. Higher volatility means larger price swings in both directions.

Does CIFR provide diversification when held with RIOT?

CIFR and RIOT are strongly correlated over the past year, with an average correlation of 0.77. This strong correlation limits diversification benefits.

How bad are the worst 5% days for CIFR vs RIOT?

Over the past year, CIFR's 5% VaR was -10.21% and its 5% Expected Shortfall was -12.73% (worst 13 days). RIOT's were -7.92% and -10.75% (worst 13 days).

Do CIFR and RIOT crash together on bad days?

On shared dates (n=249), when RIOT has a 2σ down day, CIFR also does 40.0% (2/5 days). In the other direction, when CIFR has one, RIOT also does 33.3% (2/6 days).

Which has better risk-adjusted returns: CIFR or RIOT?

CIFR showed better risk-adjusted performance with a Sharpe ratio of 2.18 versus RIOT's 1.40 Over the past year.

Can CIFR and RIOT be combined in a portfolio?

Yes, though allocation sizing matters. Their strong correlation provides limited risk reduction since they tend to move together. CIFR's higher volatility (108.2%) means even small allocations can materially impact overall portfolio risk.

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