Wisdom Tree Bitcoin Fund

10-Year Study

BTCW.US · · US · ETF

Executive Summary: Wisdom Tree Bitcoin Fund has compounded at 67.3% annually over the last 10 years, with a maximum drawdown of 43.8% and an annualized volatility of 134.6%.

1Y CAGR
-30.1%
3Y CAGR
+85.4%
5Y CAGR
+67.3%
10Y CAGR
+67.3%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
43.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.06
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
6.81
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
143.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +664.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -13.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
25%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-4.4-21.63.211.3————————-13.9%
20259.2-17.1-2.314.311.13.18.3-7.35.8-4.1-17.5-3.4-6.1%
2024250.446.014.3-16.914.5-11.28.7-10.18.010.239.0-4.3664.8%
2023-3.1-0.6-2.7-1.6-0.53.20.70.4-2.6-3.65.4-5.1-10.2%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Risk Profile Insight: This asset has an estimated annualized volatility of 134.6%. The dominant macroeconomic risk driver is SHV.US, accounting for 24.3% of variance. Idiosyncratic stock-specific factors contribute 15.7%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-12-0110000
2023-01-019687.750024143124
2023-02-019633.254972786348
2023-03-019368.378656653946
2023-04-019215.797427824013
2023-05-019170.306068406007
2023-06-019463.870527494404
2023-07-019526.340448215953
2023-08-019565.43039254795
2023-09-019319.192436048614
2023-10-018982.814611485646
2023-11-019466.99286120672
2023-12-018982.814611485646
2024-01-0131472.50575615935
2024-02-0145944.70468541342
2024-03-0152519.17811621989
2024-04-0143632.495809324704
2024-05-0149949.28331116948
2024-06-0144335.90875054446
2024-07-0148215.12665410294
2024-08-0143353.91642666342
2024-09-0146843.12319449609
2024-10-0151620.759607137225
2024-11-0171755.08448898204
2024-12-0168704.64024884091
2025-01-0175035.35671981874
2025-02-0162206.77614826628
2025-03-0160775.574569843906
2025-04-0169463.76906659291
2025-05-0177180.41796631068
2025-06-0179548.34271893164
2025-07-0186157.63857257077
2025-08-0179833.88658615947
2025-09-0184458.3043383369
2025-10-0180989.99102420385
2025-11-0166810.30044674412
2025-12-0164546.84296262114
2026-01-0161726.22671317556
2026-02-0148382.27428369971
2026-03-0149942.31882660294
2026-04-0155569.62235636103
Annual Return Matrix
YearAnnual Return
2023-0.10171853885143545
20246.648453543836191
2025-0.06051697921946275
2026-0.1390807078118257
Total Factor Risk
1.3462400951633584
VTI.US Exposure
0.008724796195502213
VEA.US Exposure
-0.00029947445984707176
VWO.US Exposure
0.00014210039185585734
QQQ.US Exposure
-0.0052590461745301905
VTV.US Exposure
0.025651702276038742
IJR.US Exposure
-0.004721575150322833
QUAL.US Exposure
0.009764756710197598
SHV.US Exposure
0.24275842252571664
TLT.US Exposure
0.15899099609325207
LQD.US Exposure
0.20504043327111762
HYG.US Exposure
0.03415020565716213
GLD.US Exposure
0.009671488940546775
USO.US Exposure
0.001253977457965568
VNQ.US Exposure
0.02893981551646257
BTC-USD.CC Exposure
0.039894853185144435
CPER.US Exposure
0.00003964635636640301
VIX.INDX Exposure
0.004290411048558635
UUP.US Exposure
0.02671924064290667
TIP.US Exposure
0.05696450917209565
Idiosyncratic Exposure
0.15728274034381048
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
134.6%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →N/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$0
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+8.4%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-21.1%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
40.0% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
1.00
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Wisdom Tree Bitcoin Fund a high-risk investment?

Wisdom Tree Bitcoin Fund (BTCW.US) has an annualized volatility of 134.6% and experienced a maximum drawdown of 43.8% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of BTCW.US?

Over the past 10 years, BTCW.US has generated a Compound Annual Growth Rate (CAGR) of 67.3%. It has had a positive return in 25% of the years measured.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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