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Historical Return

Cumulative Return+268.50%
Annualized Return+26.44%
Maximum Drawdown-36.10%
5Y
1M
3M
1Y
3Y
5Y
5-Year Performance+154.13%

Current Holdings

No.
Name
Price
Chg %
Industry
Score
Watchlist
Micron Technology Inc
MU
947.875
+4.01%
Semiconductors & Semiconductor Equipment
7.01
SanDisk Corporation
SNDK
1528.060
+13.67%
Computers, Phones & Household Electronics
7.76
Western Digital Corp
WDC
487.080
+7.26%
Computers, Phones & Household Electronics
7.5
4
Arrowhead Pharmaceuticals Inc
ARWR
85.610
-1.88%
Biotechnology & Medical Research
7.03
5
Bloom Energy Corp
BE
236.315
-0.36%
Machinery, Tools, Heavy Vehicles, Trains & Ships
6.88
6
Silicon Motion Technology Corp
SIMO
249.385
+3.35%
Semiconductors & Semiconductor Equipment
6.88
7
Sphere Entertainment Co
SPHR
176.620
+0.87%
Media & Publishing
7.58
8
Ciena Corp
CIEN
442.760
+2.48%
Communications & Networking
6.65
9
AXT Inc
AXTI
77.480
-1.26%
Semiconductors & Semiconductor Equipment
6.74
10
Dupont De Nemours Inc
DD
144.025
-0.24%
Electronic Equipment & Parts
6.58
11
HF Sinclair Corp
DINO
91.810
+4.41%
Oil & Gas
7.39
12
Globalstar Inc
GSAT
82.610
-0.73%
Telecommunications Services
6.14
13
Intel Corp
INTC
105.090
+4.10%
Semiconductors & Semiconductor Equipment
6.18
14
Lam Research Corp
LRCX
337.770
+3.58%
Semiconductors & Semiconductor Equipment
7.17
15
Pacs Group Inc
PACS
45.045
-0.93%
Healthcare Providers & Services
6.53
16
Par Pacific Holdings Inc
PARR
82.170
+5.64%
Oil & Gas
7.57
17
agilon health inc
AGL
89.299
+3.52%
Healthcare Providers & Services
6.1
18
Applied Materials Inc
AMAT
534.910
-2.42%
Semiconductors & Semiconductor Equipment
7
19
AxoGen Inc
AXGN
48.090
-3.18%
Healthcare Equipment & Supplies
7.21
20
Teradyne Inc
TER
410.950
+2.04%
Semiconductors & Semiconductor Equipment
7.35

Holding Changes

2026-08-08History
No.
Name
Price
Industry
Score
379.31
Semiconductors & Semiconductor Equipment
7.35

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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