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Historical Return

Cumulative Return+216.94%
Annualized Return+23.24%
Maximum Drawdown-36.10%
5Y
1M
3M
1Y
3Y
5Y
5-Year Performance+60.73%

Current Holdings

No.
Name
Price
Chg %
Industry
Score
Watchlist
Micron Technology Inc
MU
811.300
+11.89%
Semiconductors & Semiconductor Equipment
7.23
SanDisk Corporation
SNDK
977.690
+13.69%
Computers, Phones & Household Electronics
7.88
Western Digital Corp
WDC
313.310
+8.34%
Computers, Phones & Household Electronics
7.69
4
HF Sinclair Corp
DINO
101.730
+3.01%
Oil & Gas
7.59
5
ASE Technology Holding Co Ltd
ASX
37.820
+6.60%
Semiconductors & Semiconductor Equipment
6.64
6
DigitalOcean Holdings Inc
DOCN
87.150
+9.60%
Software & IT Services
6.56
7
Arrow Electronics Inc
ARW
198.030
+2.00%
Semiconductors & Semiconductor Equipment
6.67
8
Okeanis Eco Tankers Corp
ECO
85.750
+5.00%
Oil & Gas Related Equipment and Services
6.9
9
International Seaways Inc
INSW
101.270
+3.07%
Oil & Gas Related Equipment and Services
7.63
10
Insight Enterprises Inc
NSIT
169.440
+0.41%
Software & IT Services
7.01
11
Penguin Solutions Inc
PENG
49.250
+10.33%
Semiconductors & Semiconductor Equipment
7.23
12
Valero Energy Corp
VLO
363.710
+3.71%
Oil & Gas
7.26
13
Avnet Inc
AVT
86.820
+2.02%
Electronic Equipment & Parts
6.68
14
Cracker Barrel Old Country Store Inc
CBRL
66.130
+1.57%
Hotels & Entertainment Services
6.78
15
Centene Corp
CNC
70.480
+0.41%
Healthcare Providers & Services
7.19
16
Concentra Group Holdings Parent Inc
CON
43.450
+1.83%
Healthcare Providers & Services
7.67
17
Frontline Plc
FRO
45.540
+3.81%
Oil & Gas Related Equipment and Services
6.95
18
Haemonetics Corp
HAE
120.540
-1.49%
Healthcare Equipment & Supplies
7.5
19
Illumina Inc
ILMN
212.930
-0.92%
Healthcare Equipment & Supplies
7.18
20
SpaceX
SPCX
139.750
-2.33%
Telecommunications Services
6.36

Holding Changes

2026-11-02History
No.
Name
Price
Industry
Score
141.265
Telecommunications Services
5.96

How We Select Michael J. Carr Low Profit Growth Strategy Stocks

AI Tip

The core objective of Michael J. Carr’s low-return growth strategy is not to pursue the highest possible returns but to achieve “good enough” returns within a framework of controlled risk. The approach rests on a central tenet: in an uncertain market environment, the deliberate avoidance of unnecessary risks constitutes a powerful long-term advantage in its own right.

1.Controllability of Risk Exposure

Goal: Limit the portfolio’s maximum drawdown risk across varying market conditions

The strategy prioritizes securities that exhibit relatively stable performance during market pullbacks. This is achieved by analyzing individual stock volatility, downside risk characteristics, and correlation to broader market movements. High-leverage positions and highly sentiment-driven assets are systematically excluded to maintain disciplined risk exposure.

2.Relative Strength and Trend Consistency

Goal: Participate in trend-driven advances during phases of acceptable risk

When the market environment supports risk expansion, the strategy selects securities that demonstrate superior relative strength compared to the broader market. Participation remains constrained, however, by ensuring that the drawdown profile of selected names aligns with the portfolio’s overall risk budget and tolerance parameters.

3.Defensive Properties of Valuation and Quality

Goal: Preserve portfolio stability during periods of risk contraction

In adverse market regimes, the strategy dynamically increases weightings toward companies offering reasonable valuations, stable earnings streams, and lower inherent volatility. This defensive reorientation materially reduces the portfolio’s aggregate risk exposure during periods of heightened uncertainty.

FAQs

Who is Michael J. Carr?

Michael J. Carr is an important proponent of relative strength investment philosophy, whose method emphasizes that market behavior itself contains information rather than relying on macro predictions or subjective judgments.

What is Michael J. Carr's relative strength strategy?

The relative strength strategy selects assets with stronger trends and higher market recognition by comparing performance differences among assets; its core assumption is that strong assets often remain strong for a period, while weak ones continue to weaken.

Is this strategy applicable in bear markets?

The strategy is not aimed at 'predicting bear markets' but actively reducing risk exposure during bear markets through risk state identification and position adjustments. Therefore, its applicability lies not in avoiding all downturns, but in preventing deep drawdowns caused by taking on incorrect risks.

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