Evolve US Equity UltraYield ETF (BIGY.TO)

10-Year Study

BIGY.TO · CA · ETF

About Evolve US Equity UltraYield ETF (BIGY.TO)

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The fund seeks to achieve its investment objective by investing primarily in equity securities issued in the United States, at the Manager"s discretion. In order to achieve its investment objective, the manager constructs the portfolio, by screening the largest U.S....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Evolve US Equity UltraYield ETF (BIGY.TO) charges an annual expense ratio of low annual fee, manages approximately $329.0M in net assets, and maintains a portfolio of 9 holdings. At the portfolio level, its underlying basket trades at 8.88x sales and 4.06x book value.

Executive Summary: Evolve US Equity UltraYield ETF has compounded at -18.7% annually over the last 10 years, with a maximum drawdown of 24.6% and an annualized volatility of 42.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-18.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-18.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-18.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-18.7%

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

View full price history data
DateValue
2025-09-01$10,000
2025-10-01$10,455
2025-11-01$9,844
2025-12-01$9,461
2026-01-01$9,143
2026-02-01$8,512
2026-03-01$9,009
2026-04-01$9,739
2026-05-01$10,117
2026-06-01$8,376
2026-07-01$7,881
2026-08-01$8,279
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
24.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.77
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.15
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
26.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +-12.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · -12.5%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
0%

Annual Returns

View full annual returns data
YearReturn
2026-12.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-3.4-6.95.88.13.9-17.2-5.95.1-12.5%
20254.6-5.8-3.9-5.4%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
42.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US2.3%
VEA.US0.9%
VWO.US0.4%
QQQ.US5.2%
VTV.US-0.3%
IJR.US5.9%
QUAL.US2.5%
SHV.US0.0%
TLT.US8.5%
LQD.US0.4%
HYG.US1.7%
GLD.US0.7%
USO.US10.9%
VNQ.US26.3%
BTC-USD.CC0.4%
CPER.US4.8%
VIX.INDX26.2%
UUP.US4.4%
TIP.US-1.2%
Idiosyncratic0.0%

Evolve US Equity UltraYield ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Fund Size vs Peers
32nd pct
larger than 32% of 1,441 ETFs we track
Holdings Count9
Distribution Yield
0.0%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E26.00x
Portfolio Price-to-Sales8.88x
Portfolio Price-to-Book4.06x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$1,436
Avg Yield on Cost
14.36%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$1,435.5614.36%Weak

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

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 →
-5.0%
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 →
-10.8%
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 →
21.5% 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 →
0.00
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Death Cross
Bearish — 50 SMA below 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
47
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-12.2%
50.0% retracement-8.8%
61.8% retracement-5.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BIGY.TO — 10-Year Return & Risk Profile

Evolve US Equity UltraYield ETF (BIGY.TO) has delivered negative annualized growth of 18.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $1,268, representing a total return of 87%. Over this period, BIGY.TO generated positive annual returns in 0 out of 10 calendar years (0%).

The best single calendar year for BIGY.TO was 2026, with a return of -12.5%. The worst year was 2026, when the asset declined 12.5%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of -0.77 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

BIGY.TO — Drawdown, Volatility & Downside Risk

BIGY.TO's annualized volatility of 26.3% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BIGY.TO have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 24.6% — a significant bear-market drawdown. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 25% drawdown, for example, requires a 33% gain just to break even.

When evaluating BIGY.TO for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

BIGY.TO — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 26.3% of BIGY.TO's return variance to US Real Estate (REITs). This means that when US Real Estate (REITs) rises or falls sharply, BIGY.TO tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their BIGY.TO allocation.

The second-largest macro driver is Market Volatility (VIX), contributing 26.2% of variance. 0.0% of BIGY.TO's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding BIGY.TO's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BIGY.TO alongside assets with low correlation to US Real Estate (REITs) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Evolve US Equity UltraYield ETF a high-risk investment?

Evolve US Equity UltraYield ETF (BIGY.TO) has an annualized volatility of 42.7% and experienced a maximum drawdown of 24.6% over the last 10 years. Its primary macro risk driver is VNQ.US.

What is the 10-year return of BIGY.TO?

Over the past 10 years, BIGY.TO has generated a Compound Annual Growth Rate (CAGR) of -18.7%. A $10,000 investment would have grown to approximately $1,268. It has had a positive return in 0% of calendar years.

What is BIGY.TO's Sharpe ratio?

BIGY.TO has a Sharpe ratio of -0.77 and a Sortino ratio of -1.15 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is BIGY.TO's dividend yield?

BIGY.TO does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is BIGY.TO above its 200-day moving average?

BIGY.TO is currently below its 200-day moving average by 10.8%. The current trend signal is: Bearish — 50 SMA below 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

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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