Breakwave Dry Bulk Shipping ETF

10-Year Study

BDRY.US · · US · ETF

Executive Summary: Breakwave Dry Bulk Shipping ETF has compounded at -8.9% annually over the last 10 years, with a maximum drawdown of 86.4% and an annualized volatility of 96.1%.

1Y CAGR
+120.1%
3Y CAGR
+23.5%
5Y CAGR
-14.4%
10Y CAGR
-8.9%

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 →
86.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.14
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.32
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
71.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +283.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -68.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
50%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202631.54.7-17.47.3————————22.0%
2025-5.110.9-2.3-7.8-10.06.933.313.1-10.37.98.30.044.2%
2024-2.835.7-9.1-8.3-6.12.5-12.43.6-3.3-30.4-11.1-8.6-47.4%
2023-15.116.011.6-13.3-34.0-4.0-10.8-1.212.3-8.786.223.925.8%
2022-25.6-2.312.8-11.23.3-22.6-27.7-36.915.3-21.510.716.9-68.8%
202134.322.933.146.0-6.927.6-12.19.827.1-16.6-11.310.7283.0%
2020-36.4-16.6-22.0-13.3-16.158.910.34.5-3.3-17.8-5.219.9-50.2%
2019-33.0-9.3-15.232.3-1.17.322.631.1-6.7-8.51.7-15.7-15.0%
2018———-5.6-5.98.911.63.4-9.8-6.8-23.310.8-20.2%

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 96.1%. The dominant macroeconomic risk driver is SHV.US, accounting for 50.0% of variance. Idiosyncratic stock-specific factors contribute 25.8%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2018-03-0110000
2018-04-019438.103599648814
2018-05-018883.801580333626
2018-06-019675.15364354697
2018-07-0110798.946444249343
2018-08-0111165.496049165935
2018-09-0110070.237050043897
2018-10-019383.23090430202
2018-11-017199.999999999998
2018-12-017976.294995610185
2019-01-015344.6005267778755
2019-02-014846.356453028972
2019-03-014108.6040386303775
2019-04-015436.786755435398
2019-05-015377.524143985952
2019-06-015772.607383024702
2019-07-017076.383160330728
2019-08-019277.875429711077
2019-09-018652.326200383079
2019-10-017914.8378782464915
2019-11-018046.532012162447
2019-12-016782.265061134827
2020-01-014310.798812477708
2020-02-013595.2588149180424
2020-03-012805.0921275178207
2020-04-012431.9578410241556
2020-05-012041.2643087653344
2020-06-013244.073690292184
2020-07-013577.6995691528855
2020-08-013740.1231157873885
2020-09-013617.207976785849
2020-10-012971.905171609532
2020-11-012818.2616665030487
2020-12-013380.1579496335103
2021-01-014539.0694260701885
2021-02-015579.455679607978
2021-03-017427.568075633864
2021-04-0110842.84493544313
2021-05-0110096.57594381036
2021-06-0112884.109034885745
2021-07-0111325.723984662223
2021-08-0112436.347639906082
2021-09-0115807.72533868885
2021-10-0113187.006547641502
2021-11-0111698.85848047861
2021-12-0112945.566185741072
2022-01-019631.255721710982
2022-02-019407.37502422115
2022-03-0110614.574321850649
2022-04-019429.323767443515
2022-05-019741.001112404572
2022-06-017537.313466327456
2022-07-015452.151043149229
2022-08-013441.61551913428
2022-09-013968.393310734428
2022-10-013116.7690538334364
2022-11-013450.3951420168587
2022-12-014034.2403776924057
2023-01-013424.056273369123
2023-02-013972.7832268370776
2023-03-014433.713951479248
2023-04-013845.47859037833
2023-05-012537.3135249378183
2023-06-012436.3477571268054
2023-07-012172.9586520040107
2023-08-012146.6197833562755
2023-09-012410.0086791563494
2023-10-012199.297729974467
2023-11-014095.697947193176
2023-12-015074.627049875637
2024-01-014934.152665108939
2024-02-016694.468832309043
2024-03-016084.284309340319
2024-04-015579.455679607978
2024-05-015241.439675321905
2024-06-015373.134227883303
2024-07-014705.8824701619005
2024-08-014877.085011710818
2024-09-014714.6618837217575
2024-10-013283.5820979251475
2024-11-012919.227434314061
2024-12-012669.0078681764944
2025-01-012532.923608835168
2025-02-012809.4820436204704
2025-03-012743.6347673397713
2025-04-012530.7286507838435
2025-05-012278.314335917673
2025-06-012436.3477571268054
2025-07-013248.4636063948337
2025-08-013674.275630183969
2025-09-013296.7516369103755
2025-10-013555.750825930521
2025-11-013849.8685064809797
2025-12-013849.8685064809797
2026-01-015061.457301567687
2026-02-015298.507462686567
2026-03-014376.6461808604045
2026-04-014697.102721685688
Annual Return Matrix
YearAnnual Return
2019-0.14969731374435136
2020-0.5016181291699718
20212.829870195014017
2022-0.6883689504337067
20230.2578891128887897
2024-0.47404846859792305
20250.4424343039165586
20260.22006835136796243
Total Factor Risk
0.9609076308598318
VTI.US Exposure
0.05919401790532428
VEA.US Exposure
0.01922538084320478
VWO.US Exposure
0.00028987072165328294
QQQ.US Exposure
0.09431552205637134
VTV.US Exposure
0.038868434105096356
IJR.US Exposure
0.00027913319868297723
QUAL.US Exposure
-0.0011057376939376576
SHV.US Exposure
0.5001785136879536
TLT.US Exposure
0.004310716544353664
LQD.US Exposure
0.003363713885873403
HYG.US Exposure
0.011956435260587138
GLD.US Exposure
-0.0008857957953239936
USO.US Exposure
0.0027617116250951254
VNQ.US Exposure
0.0009336018257618136
BTC-USD.CC Exposure
0.0028304980398515013
CPER.US Exposure
0.0031729981267505187
VIX.INDX Exposure
0.00047937746823297243
UUP.US Exposure
-0.0006344778857974735
TIP.US Exposure
0.0023380624974308254
Idiosyncratic Exposure
0.2581280235828355
Value Score
46.1
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
96.1%

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 →9.7x
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$9.6B
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 →
-1.7%
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 →
+20.5%
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 →
14.4% 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 →
3.00
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Breakwave Dry Bulk Shipping ETF a high-risk investment?

Breakwave Dry Bulk Shipping ETF (BDRY.US) has an annualized volatility of 96.1% and experienced a maximum drawdown of 86.4% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, BDRY.US has generated a Compound Annual Growth Rate (CAGR) of -8.9%. It has had a positive return in 50% 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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