Weekly Selection | SECT Capital Quant Research

Redacted — proprietary method withheld. The space is kept so you can see where detail exists.

These are the 10 names I am backing for the week of September 07, 2026, and below each one I show my work: the momentum, the technicals, the sentiment, the fundamentals, and the macro I am leaning on. I do not ask you to take the picks on faith — I ask you to read the evidence and disagree if you can. The pillar weights and a few model internals stay redacted because they are the edge; everything that can be shown, is.

Macro environment

VIX

14.32

10Y−2Y

+0.41

HY OAS

2.65

Unemployment

4.1

SPY 20d

-0.50%

Here is how I read the backdrop: volatility is cheap at 14.3 — barely 0.90% a day — and cheap vol is exactly where I watch crowding hardest, the 10y−2y curve has steepened to +0.41, a quieter vote of confidence in duration, high-yield spreads at 2.65 are still contained, so credit is not yet contradicting the tape, and the S&P's trailing month is -0.5%, the trend I am actually trading against.

Volatility is the first thing I price, because it sets the size of every other bet. I scale gross exposure inversely to realised vol — target the risk, not the notional — so a calmer tape lets the book breathe and a violent one pulls it in automatically:

\sigma_{\text{daily}}\approx\dfrac{\mathrm{VIX}}{\sqrt{252}}\qquad w_{\text{gross}}\;\propto\;\dfrac{\sigma_{\text{target}}}{\sigma_{\text{daily}}}

Source: fred · as of 2026-09-06

How I make the call

I score every candidate from 0–100 on several independent pillars, then collapse them into one composite. The weighting is the part I keep back, but the structure is simple:

\text{Composite}(x) \;=\; \sum_i w_i \, S_i(x)

where $S_i$ is a pillar score and $w_i$ its weight. The exact pillar weights are mine to keep, so they are withheld; what I will tell you is that a neutral-pillar guard drops any pillar sitting at 50 (no signal) and renormalises the rest, so a silent factor never dilutes a loud one.

For the expected weekly return I do not trust a raw historical average at a given score — small samples lie. I shrink it toward a prior, blending the realised returns of past names that scored nearby with that prior in proportion to how much evidence I actually have:

\hat{r}(s) \;=\; \frac{n\,\bar r_{\text{near}} + k\,\pi(s)}{n + k}

Here $k$ (the shrinkage strength) and the prior $\pi$ take proprietary values , and they are exactly what I re-estimate as new weeks land — this is where the framework learns. The standard indicator formulas below I show in full, because none of that is the edge.

Indicator formula reference

RSI: $$\mathrm{RSI}_{14}=100-\frac{100}{1+RS},\quad RS=\frac{\overline{\text{gain}}_{14}}{\overline{\text{loss}}_{14}}$$

MACD: $$\mathrm{MACD}=\mathrm{EMA}_{12}-\mathrm{EMA}_{26},\quad \text{signal}=\mathrm{EMA}_9(\mathrm{MACD})$$

ATR: $$\mathrm{ATR}_{14}=\tfrac{1}{14}\sum TR,\quad TR=\max\big(H-L,\,|H-C_{-1}|,\,|L-C_{-1}|\big)$$

Bollinger: $$\mathrm{BB}=\mathrm{SMA}_{20}\pm 2\,\sigma_{20}$$

Cross-sectional z: $$z=\frac{x-\mu}{\sigma}$$

The picks

#1 AVAH AVAH Health Care Composite 50.9 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	61.2
Catalyst	80.0
Sentiment	50.0	n/a
Technical	57.1
Fundamental	75.4
Smart Money		n/a
ML Ensemble
Composite	50.9	—
Universe percentile	99

Technicals (2026-09-01)

RSI(14)	72.7	ADX(14)	34.3
MACD	1.145	Signal	1.030
MACD hist	0.116	ATR(14)	0.57
SMA 20	11.63	SMA 50	10.19
SMA 200	8.31	Vol ratio	0.47
Boll upper	15.56	Boll lower	7.71
CCI(20)	63.5	MFI(14)	58.3

Sentiment & news

Fundamentals

P/E	13.2	PEG	n/a
P/B	8.80	P/S	1.22
ROE	149.8	ROA	13.8
Net margin	n/a	Rev growth	19.5
Debt/Equity	n/a	EPS growth	1377.0

AVAH selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 50.9/100

#2 TRLV TRLV Pharmaceuticals Composite 60.7 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	69.4
Catalyst	50.0	n/a
Sentiment	56.9
Technical	68.8
Fundamental	66.6
Smart Money		n/a
ML Ensemble
Composite	60.7	—
Universe percentile	96

Technicals (2026-09-04)

RSI(14)	72.4	ADX(14)	43.8
MACD	0.754	Signal	0.628
MACD hist	0.125	ATR(14)	0.58
SMA 20	10.67	SMA 50	9.54
SMA 200	n/a	Vol ratio	1.49
Boll upper	12.76	Boll lower	8.58
CCI(20)	97.3	MFI(14)	77.7

Sentiment & news

Fundamentals

P/E	n/a	PEG	n/a
P/B	n/a	P/S	1.57
ROE	-6.8	ROA	-2.9
Net margin	n/a	Rev growth	-1.4
Debt/Equity	n/a	EPS growth	n/a

TRLV selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 60.7/100

#3 SMTC SMTC Semiconductors Composite 73.6 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	48.6
Catalyst	50.0	n/a
Sentiment	73.9
Technical	57.0
Fundamental	65.6
Smart Money		n/a
ML Ensemble
Composite	73.6	—
Universe percentile	94

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	41.1	PEG	n/a
P/B	13.66	P/S	13.14
ROE	51.2	ROA	21.9
Net margin	n/a	Rev growth	25.4
Debt/Equity	n/a	EPS growth	1063.4

SMTC selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 73.6/100

#4 CPRT CPRT Unknown Composite 62.1 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	45.9
Catalyst	50.0	n/a
Sentiment	49.9
Technical	62.0
Fundamental	74.8
Smart Money		n/a
ML Ensemble
Composite	62.1	—
Universe percentile	91

Technicals (2026-09-04)

RSI(14)	64.0	ADX(14)	26.4
MACD	0.911	Signal	0.927
MACD hist	-0.016	ATR(14)	1.02
SMA 20	32.21	SMA 50	30.08
SMA 200	34.45	Vol ratio	0.59
Boll upper	35.45	Boll lower	28.97
CCI(20)	68.7	MFI(14)	42.4

Sentiment & news

Why Copart Stock Ticked 4% Higher on Thursday [negative]
JP Morgan Upgrades Copart to Overweight, Raises Price Target to $40 [neutral]
Copart (NASDAQ:CPRT): A GARP Play with Steady Growth and a Clean Balance Sheet [positive]

Fundamentals

P/E	n/a	PEG	n/a
P/B	n/a	P/S	n/a
ROE	0.3	ROA	0.2
Net margin	0.3	Rev growth	0.1
Debt/Equity	0.02	EPS growth	0.1

CPRT selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 62.1/100

#5 DELL DELL Technology Composite 63.4 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	59.0
Catalyst	50.0	n/a
Sentiment	63.6
Technical	68.4
Fundamental	61.1
Smart Money		n/a
ML Ensemble
Composite	63.4	—
Universe percentile	86

Technicals

No indicators on file yet.

Sentiment & news

SMCI Stock Is at a Crossroads. The Next Move Could Be Huge [positive]
Dell: $95B Backlog And A New Blowout FY27 Guide [positive]
Dell Technologies (DELL) Stock Fair Value Rises After Guidance And AI Server Focus [positive]

Fundamentals

P/E	n/a	PEG	n/a
P/B	n/a	P/S	n/a
ROE	-4.2	ROA	0.1
Net margin	0.1	Rev growth	0.2
Debt/Equity	-22.19	EPS growth	0.4

DELL selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 63.4/100

#6 ELF ELF Consumer products Composite 68.1 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	48.0
Catalyst	50.0	n/a
Sentiment	80.2
Technical	59.7
Fundamental	54.9
Smart Money		n/a
ML Ensemble
Composite	68.1	—
Universe percentile	84

Technicals (2026-09-04)

RSI(14)	69.7	ADX(14)	51.8
MACD	6.351	Signal	6.445
MACD hist	-0.093	ATR(14)	3.98
SMA 20	101.04	SMA 50	87.73
SMA 200	76.04	Vol ratio	0.84
Boll upper	113.73	Boll lower	88.35
CCI(20)	90.5	MFI(14)	80.3

Sentiment & news

e.l.f. Beauty (ELF) Stock Looks Reasonable On Cash Flow Yet Stretched On Earnings [positive]
Why Did e.l.f. Beauty (ELF) Move Today? [positive]
Why Did e.l.f. Beauty (ELF) Move Today? [positive]

Fundamentals

P/E	245.9	PEG	n/a
P/B	3.17	P/S	3.95
ROE	5.2	ROA	2.5
Net margin	n/a	Rev growth	31.2
Debt/Equity	n/a	EPS growth	-41.7

ELF selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 68.1/100

#7 INSW INSW Energy Composite 66.2 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	47.5
Catalyst	50.0	n/a
Sentiment	78.2
Technical	76.4
Fundamental	59.1
Smart Money		n/a
ML Ensemble
Composite	66.2	—
Universe percentile	81

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	16.7	PEG	n/a
P/B	1.19	P/S	6.14
ROE	37.0	ROA	27.5
Net margin	n/a	Rev growth	57.4
Debt/Equity	n/a	EPS growth	225.8

INSW selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 66.2/100

#8 SBLK SBLK Marine Composite 55.0 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	53.4
Catalyst	50.0	n/a
Sentiment	76.7
Technical	65.7
Fundamental	56.9
Smart Money		n/a
ML Ensemble
Composite	55.0	—
Universe percentile	76

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	43.0	PEG	n/a
P/B	0.90	P/S	3.47
ROE	11.7	ROA	7.6
Net margin	n/a	Rev growth	6.3
Debt/Equity	n/a	EPS growth	141.9

SBLK selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 55.0/100

#9 EL EL Consumer Composite 69.2 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	50.3
Catalyst	50.0	n/a
Sentiment	66.6
Technical	51.0
Fundamental	52.7
Smart Money		n/a
ML Ensemble
Composite	69.2	—
Universe percentile	74

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	206.5	PEG	n/a
P/B	7.50	P/S	2.50
ROE	4.6	ROA	0.9
Net margin	n/a	Rev growth	5.1
Debt/Equity	n/a	EPS growth	-43.6

EL selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 69.2/100

#10 WT WT Financial Services Composite 73.4 / 100

Decision & pillar scores

Pillar	Score	Weight
Momentum	47.3
Catalyst	80.0
Sentiment	76.6
Technical	52.1
Fundamental	54.6
Smart Money		n/a
ML Ensemble
Composite	73.4	—
Universe percentile	64

Technicals

No indicators on file yet.

Sentiment & news

Fundamentals

P/E	34.6	PEG	n/a
P/B	4.15	P/S	7.64
ROE	19.2	ROA	5.1
Net margin	n/a	Rev growth	37.1
Debt/Equity	n/a	EPS growth	8.1

WT selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • COMPOSITE SCORE: 73.4/100

A standing note on method. I run this book in paper-trading mode, so every fill you see is simulated rather than a realised, audited track record — I would rather state that plainly than flatter the numbers. Nothing here is investment advice, an offer, or a solicitation; it is my own research, published so it can be read and argued with in the open. The blacked-out passages mark the parts of the process I keep proprietary. And because the framework recalibrates every week, where my read was wrong I expect the priors — not my ego — to be the first to say so.