Trust For Professional Managers - Convergence Long/Short Equity ETF

10-Year Study

CLSE.US · · US · ETF

Executive Summary: Trust For Professional Managers - Convergence Long/Short Equity ETF has compounded at 18.8% annually over the last 10 years, with a maximum drawdown of 12.3% and an annualized volatility of 12.1%.

1Y CAGR
+37.4%
3Y CAGR
+28.7%
5Y CAGR
+18.8%
10Y CAGR
+18.8%

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 →
12.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.27
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
2.14
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
11.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +35.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 11.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20263.40.6-1.08.011.2%
20251.9-2.8-4.81.05.01.93.21.76.22.92.10.920.4%
20245.49.14.2-1.94.32.5-1.52.72.71.54.2-1.835.5%
2023-1.21.33.1-1.20.35.21.71.3-0.70.25.11.317.5%
20222.5-2.11.6-8.14.0-3.2-4.67.73.4-4.0-3.9%

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 12.1%. The dominant macroeconomic risk driver is VTI.US, accounting for 77.2% of variance. Idiosyncratic stock-specific factors contribute 20.2%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2022-02-0110000
2022-03-0110254.91584876387
2022-04-0110039.52915781308
2022-05-0110196.56649465412
2022-06-019368.140578097069
2022-07-019738.540928867753
2022-08-019427.164491213869
2022-09-018991.871563965058
2022-10-019682.08033997774
2022-11-0110006.47576646767
2022-12-019608.148672805153
2023-01-019491.719788188471
2023-02-019617.929778407366
2023-03-019916.894330331545
2023-04-019801.747107828258
2023-05-019829.876218422207
2023-06-0110343.417990488719
2023-07-0110516.105096293299
2023-08-0110656.750649263045
2023-09-0110586.731424331343
2023-10-0110609.666430571015
2023-11-0111146.682856082834
2023-12-0111292.859792910383
2024-01-0111898.748693041924
2024-02-0112984.65378258963
2024-03-0113534.217005632567
2024-04-0113275.995817734156
2024-05-0113845.458531485043
2024-06-0114196.364126952005
2024-07-0113984.48514283787
2024-08-0114361.900907281864
2024-09-0114745.927349994941
2024-10-0114971.095146547943
2024-11-0115593.510742352186
2024-12-0115306.553340753482
2025-01-0115593.848021855712
2025-02-0115159.566933117472
2025-03-0114437.991163277009
2025-04-0114584.977570913015
2025-05-0115319.909609093054
2025-06-0115613.88242436507
2025-07-0116108.266720631385
2025-08-0116388.88326756383
2025-09-0117397.753718506527
2025-10-0117905.494283112414
2025-11-0118272.994030152786
2025-12-0118435.697662653038
2026-01-0119056.291949138253
2026-02-0119177.712570407097
2026-03-0118982.090458362847
2026-04-0120506.5938142939
Annual Return Matrix
YearAnnual Return
20230.17534190794462057
20240.35541870008541854
20250.20443167395289796
20260.11233077204537145
Total Factor Risk
0.1214566838217347
VTI.US Exposure
0.7717297881863802
VEA.US Exposure
0.007348697656953382
VWO.US Exposure
-0.024153018107221775
QQQ.US Exposure
-0.19194893630019305
VTV.US Exposure
0.026405372801996112
IJR.US Exposure
-0.05348372538115247
QUAL.US Exposure
0.1716820869977427
SHV.US Exposure
0.00295451446641836
TLT.US Exposure
0.0019168104621159708
LQD.US Exposure
-0.008350664923184486
HYG.US Exposure
-0.026842076467840974
GLD.US Exposure
0.027680288009338756
USO.US Exposure
0.011968360765053582
VNQ.US Exposure
-0.08216575483310272
BTC-USD.CC Exposure
0.014537817036762806
CPER.US Exposure
-0.01931917774969018
VIX.INDX Exposure
0.04478679655022258
UUP.US Exposure
0.009980803207588398
TIP.US Exposure
0.11353082273886121
Idiosyncratic Exposure
0.20174119488295164
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
12.1%

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 →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 →
+6.5%
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 →
+14.9%
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 →
0.1% 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 →
0.66
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Trust For Professional Managers - Convergence Long/Short Equity ETF a high-risk investment?

Trust For Professional Managers - Convergence Long/Short Equity ETF (CLSE.US) has an annualized volatility of 12.1% and experienced a maximum drawdown of 12.3% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, CLSE.US has generated a Compound Annual Growth Rate (CAGR) of 18.8%. It has had a positive return in 100% 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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