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Weekly Selection

Weekly Selection PAPER TRADING

Why these 10 stocks · week of October 12, 2026
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 October 12, 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
15.41
10Y−2Y
+0.47
HY OAS
3.15
Unemployment
n/a
SPY 20d
+2.29%

Here is how I read the backdrop: volatility is cheap at 15.4 — barely 0.97% a day — and cheap vol is exactly where I watch crowding hardest, the 10y−2y curve has steepened to +0.47, a quieter vote of confidence in duration, high-yield spreads at 3.15 are still contained, so credit is not yet contradicting the tape, and the S&P's trailing month is +2.3%, 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 2026-10-09

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 VST VST Utilities Composite 76.8 / 100
VST price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum48.1
Catalyst50.0n/a
Sentiment61.2
Technical78.4
Fundamental61.2
Smart Money
ML Ensemble
Composite76.8—
Universe percentile98

Technicals (2026-10-09)

RSI(14)64.4 ADX(14)18.7
MACD3.779 Signal1.064
MACD hist2.715 ATR(14)6.80
SMA 20144.46 SMA 50143.90
SMA 200154.74 Vol ratio1.18
Boll upper161.85 Boll lower127.06
CCI(20)160.8 MFI(14)49.7

Fundamentals

P/E57.4 PEGn/a
P/B10.72 P/S3.08
ROE41.5 ROA5.4
Net marginn/a Rev growth18.6
Debt/Equityn/a EPS growth-4.9
VST selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 76.8/100
#2 LITE LITE Communications Composite 74.3 / 100
LITE price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum58.7
Catalyst75.2
Sentiment61.7
Technical79.0
Fundamental55.1
Smart Money
ML Ensemble
Composite74.3—
Universe percentile95

Technicals

No indicators on file yet.

Fundamentals

P/En/a PEGn/a
P/B14.26 P/S33.16
ROE-300.1 ROA-116.8
Net marginn/a Rev growth83.2
Debt/Equityn/a EPS growthn/a
LITE selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 74.3/100
#3 FIGS FIGS Textiles, Apparel & Luxury Goods Composite 70.1 / 100
FIGS price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum58.0
Catalyst80.0
Sentiment66.1
Technical79.5
Fundamental56.9
Smart Money
ML Ensemble
Composite70.1—
Universe percentile92

Technicals (2026-10-09)

RSI(14)67.6 ADX(14)22.1
MACD0.405 Signal0.235
MACD hist0.170 ATR(14)0.71
SMA 2013.60 SMA 5013.03
SMA 20012.73 Vol ratio1.49
Boll upper15.24 Boll lower11.95
CCI(20)222.1 MFI(14)87.5

Fundamentals

P/E65.1 PEGn/a
P/B4.27 P/S3.53
ROE14.4 ROA10.9
Net marginn/a Rev growth24.7
Debt/Equityn/a EPS growth686.6
FIGS selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 70.1/100
#4 VIA VIA Technology Composite 70.0 / 100
VIA price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum48.0
Catalyst50.0n/a
Sentiment56.8
Technical70.4
Fundamental58.9
Smart Money
ML Ensemble
Composite70.0—
Universe percentile88

Technicals (2026-10-09)

RSI(14)70.4 ADX(14)35.1
MACD1.329 Signal1.205
MACD hist0.124 ATR(14)1.19
SMA 2029.17 SMA 5027.01
SMA 20020.55 Vol ratio0.70
Boll upper32.41 Boll lower25.93
CCI(20)147.5 MFI(14)66.6
VIA selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 70.0/100
#5 SECZ SECZ Financial Services Composite 72.7 / 100
SECZ price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum63.4
Catalyst50.0n/a
Sentiment69.4
Technical55.9
Fundamental51.7
Smart Money
ML Ensemble
Composite72.7—
Universe percentile85

Technicals (2026-10-09)

RSI(14)58.6 ADX(14)35.1
MACD1.146 Signal1.461
MACD hist-0.316 ATR(14)1.38
SMA 2012.65 SMA 509.19
SMA 20010.64 Vol ratio1.13
Boll upper18.06 Boll lower7.25
CCI(20)27.8 MFI(14)61.1
SECZ selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 72.7/100
#6 SEI SEI Energy Composite 72.0 / 100
SEI price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum47.1
Catalyst50.0n/a
Sentiment64.0
Technical53.6
Fundamental65.6
Smart Money
ML Ensemble
Composite72.0—
Universe percentile82

Technicals

No indicators on file yet.

Fundamentals

P/E199.1 PEGn/a
P/B5.58 P/S9.65
ROE7.8 ROA2.0
Net marginn/a Rev growth70.5
Debt/Equityn/a EPS growth27.3
SEI selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 72.0/100
#7 GME GME Retail Composite 53.6 / 100
GME price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum49.0
Catalyst75.0
Sentiment65.8
Technical67.7
Fundamental67.8
Smart Money
ML Ensemble
Composite53.6—
Universe percentile78

Technicals (2026-10-09)

RSI(14)72.5 ADX(14)52.9
MACD1.337 Signal1.237
MACD hist0.100 ATR(14)0.96
SMA 2023.88 SMA 5020.88
SMA 20022.34 Vol ratio1.70
Boll upper26.49 Boll lower21.26
CCI(20)151.7 MFI(14)72.9

Fundamentals

P/En/a PEGn/a
P/Bn/a P/Sn/a
ROE0.1 ROA0.0
Net margin0.1 Rev growth-0.1
Debt/Equity0.00 EPS growth1.3
GME selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 53.6/100
#8 ZS ZS Technology Composite 66.1 / 100
ZS price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum43.2
Catalyst75.0
Sentiment63.6
Technical81.5
Fundamental37.3
Smart Money
ML Ensemble
Composite66.1—
Universe percentile75

Technicals (2026-10-08)

RSI(14)66.0 ADX(14)21.0
MACD8.486 Signal7.929
MACD hist0.557 ATR(14)8.83
SMA 20200.66 SMA 50183.07
SMA 200166.56 Vol ratio1.14
Boll upper223.94 Boll lower177.38
CCI(20)131.2 MFI(14)74.7

Fundamentals

P/En/a PEGn/a
P/B9.41 P/S9.60
ROE-2.8 ROA-0.9
Net marginn/a Rev growth25.4
Debt/Equityn/a EPS growthn/a
ZS selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 66.1/100
#9 MANE MANE Pharmaceuticals Composite 60.9 / 100
MANE price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum56.0
Catalyst50.0n/a
Sentiment62.9
Technical80.0
Fundamental45.7
Smart Money
ML Ensemble
Composite60.9—
Universe percentile72

Technicals (2026-10-09)

RSI(14)67.1 ADX(14)25.6
MACD4.332 Signal3.268
MACD hist1.064 ATR(14)7.20
SMA 20114.32 SMA 50108.37
SMA 200n/a Vol ratio1.46
Boll upper128.81 Boll lower99.82
CCI(20)190.3 MFI(14)66.3

Fundamentals

P/En/a PEGn/a
P/B6.31 P/Sn/a
ROE-35.5 ROA-34.6
Net marginn/a Rev growthn/a
Debt/Equityn/a EPS growthn/a
MANE selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 60.9/100
#10 XMTR XMTR Trading Companies & Distributors Composite 69.3 / 100
XMTR price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum53.7
Catalyst50.0n/a
Sentiment58.8
Technical67.3
Fundamental55.1
Smart Money
ML Ensemble
Composite69.3—
Universe percentile68

Technicals

No indicators on file yet.

XMTR selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 69.3/100
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.