← All research
Weekly Selection

Weekly Selection PAPER TRADING

Why these 10 stocks · week of October 05, 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 05, 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
16.39
10Y−2Y
+0.45
HY OAS
3.24
Unemployment
4.2
SPY 20d
-0.32%

Here is how I read the backdrop: volatility is cheap at 16.4 — barely 1.03% a day — and cheap vol is exactly where I watch crowding hardest, the 10y−2y curve has steepened to +0.45, a quieter vote of confidence in duration, high-yield spreads at 3.24 are still contained, so credit is not yet contradicting the tape, and the S&P's trailing month is -0.3%, 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 2026-10-04

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 ABCL ABCL Life Sciences Tools & Services Composite 79.0 / 100
ABCL price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum53.6
Catalyst70.0
Sentiment59.0
Technical78.2
Fundamental52.9
Smart Money
ML Ensemble
Composite79.0—
Universe percentile98

Technicals (2026-10-02)

RSI(14)63.7 ADX(14)33.5
MACD0.988 Signal0.917
MACD hist0.071 ATR(14)0.76
SMA 2012.44 SMA 5010.38
SMA 2005.92 Vol ratio0.80
Boll upper14.90 Boll lower9.99
CCI(20)98.1 MFI(14)70.0

Fundamentals

P/En/a PEGn/a
P/B1.06 P/S59.26
ROE-17.5 ROA-12.4
Net marginn/a Rev growth101.3
Debt/Equityn/a EPS growthn/a
ABCL selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 79.0/100
#2 ACN ACN Technology Composite 75.9 / 100
ACN price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum47.7
Catalyst65.1
Sentiment52.0
Technical76.2
Fundamental57.9
Smart Money
ML Ensemble
Composite75.9—
Universe percentile95

Technicals (2026-10-02)

RSI(14)59.1 ADX(14)18.5
MACD3.557 Signal2.309
MACD hist1.248 ATR(14)9.76
SMA 20185.32 SMA 50179.12
SMA 200196.36 Vol ratio1.86
Boll upper203.58 Boll lower167.06
CCI(20)149.5 MFI(14)52.0

Fundamentals

P/E14.5 PEGn/a
P/B3.68 P/S1.64
ROE26.7 ROA12.2
Net marginn/a Rev growth6.5
Debt/Equityn/a EPS growth11.7
ACN selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 75.9/100
#3 TWLO TWLO Technology Composite 72.3 / 100
TWLO price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum61.1
Catalyst80.0
Sentiment58.3
Technical65.7
Fundamental70.0
Smart Money
ML Ensemble
Composite72.3—
Universe percentile92

Technicals (2026-10-02)

RSI(14)65.8 ADX(14)32.9
MACD18.210 Signal15.259
MACD hist2.951 ATR(14)13.35
SMA 20261.49 SMA 50237.16
SMA 200176.10 Vol ratio1.25
Boll upper317.77 Boll lower205.21
CCI(20)93.4 MFI(14)71.2

Fundamentals

P/E1251.9 PEGn/a
P/B2.76 P/S8.36
ROE14.2 ROA11.5
Net marginn/a Rev growth17.8
Debt/Equityn/a EPS growth5800.2
TWLO selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 72.3/100
#4 TWST TWST Biotechnology Composite 68.9 / 100
TWST price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum56.3
Catalyst50.0n/a
Sentiment73.8
Technical72.8
Fundamental56.6
Smart Money
ML Ensemble
Composite68.9—
Universe percentile88

Technicals (2026-10-02)

RSI(14)70.6 ADX(14)43.8
MACD16.591 Signal14.222
MACD hist2.369 ATR(14)11.00
SMA 20158.12 SMA 50134.72
SMA 20073.34 Vol ratio0.94
Boll upper207.11 Boll lower109.12
CCI(20)97.6 MFI(14)74.7

Fundamentals

P/En/a PEGn/a
P/Bn/a P/Sn/a
ROE-0.2 ROA-0.1
Net margin-0.2 Rev growth0.2
Debt/Equity0.00 EPS growth0.6
TWST selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 68.9/100
#5 LRCX LRCX Technology Composite 63.6 / 100
LRCX price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum52.9
Catalyst69.2
Sentiment66.0
Technical70.8
Fundamental76.8
Smart Money
ML Ensemble
Composite63.6—
Universe percentile85

Technicals (2026-06-18)

RSI(14)68.6 ADX(14)25.4
MACD24.207 Signal19.991
MACD hist4.216 ATR(14)22.04
SMA 20337.25 SMA 50298.16
SMA 200210.07 Vol ratio1.00
Boll upper391.83 Boll lower282.66
CCI(20)154.1 MFI(14)71.8

Fundamentals

P/En/a PEGn/a
P/Bn/a P/Sn/a
ROE0.6 ROA0.3
Net margin0.3 Rev growth0.3
Debt/Equity0.30 EPS growth0.4
LRCX selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 63.6/100
#6 AVT AVT Electrical Equipment Composite 66.4 / 100
AVT price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum49.1
Catalyst80.0
Sentiment55.4
Technical73.3
Fundamental55.1
Smart Money
ML Ensemble
Composite66.4—
Universe percentile82

Technicals

No indicators on file yet.

Fundamentals

P/E24.5 PEGn/a
P/B1.43 P/S0.30
ROE6.8 ROA2.5
Net marginn/a Rev growth24.5
Debt/Equityn/a EPS growth46.1
AVT selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 66.4/100
#7 BAND BAND Telecommunication Composite 70.9 / 100
BAND price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum56.1
Catalyst50.0n/a
Sentiment68.1
Technical66.1
Fundamental32.9
Smart Money
ML Ensemble
Composite70.9—
Universe percentile78

Technicals (2026-10-02)

RSI(14)65.1 ADX(14)24.8
MACD3.324 Signal2.285
MACD hist1.039 ATR(14)3.95
SMA 2054.97 SMA 5051.33
SMA 20037.55 Vol ratio0.71
Boll upper67.87 Boll lower42.07
CCI(20)106.0 MFI(14)72.8

Fundamentals

P/En/a PEGn/a
P/Bn/a P/Sn/a
ROE-0.0 ROA-0.0
Net margin-0.0 Rev growth0.0
Debt/Equity0.37 EPS growth-0.8
BAND selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 70.9/100
#8 S S Technology Composite 66.2 / 100
S price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum56.5
Catalyst50.0n/a
Sentiment62.9
Technical64.6
Fundamental35.4
Smart Money
ML Ensemble
Composite66.2—
Universe percentile75

Technicals

No indicators on file yet.

S selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 66.2/100
#9 HHH HHH Real Estate Composite 55.4 / 100
HHH price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum50.2
Catalyst80.0
Sentiment63.5
Technical74.0
Fundamental56.9
Smart Money
ML Ensemble
Composite55.4—
Universe percentile72

Technicals (2026-10-02)

RSI(14)60.2 ADX(14)26.7
MACD1.990 Signal0.887
MACD hist1.103 ATR(14)2.34
SMA 2065.79 SMA 5065.90
SMA 20069.61 Vol ratio0.84
Boll upper75.13 Boll lower56.45
CCI(20)107.9 MFI(14)64.3

Fundamentals

P/E34.2 PEGn/a
P/B1.25 P/S2.88
ROE7.2 ROA2.4
Net marginn/a Rev growth34.0
Debt/Equityn/a EPS growth8.6
HHH selected based on: • UPCOMING CATALYSTS: High probability events within 30 days • SMART MONEY ACTIVITY: Institutional accumulation detected • COMPOSITE SCORE: 55.4/100
#10 SEI SEI Energy Composite 60.8 / 100
SEI price (60d)

Decision & pillar scores

PillarScoreWeight
Momentum51.8
Catalyst50.0n/a
Sentiment64.8
Technical63.6
Fundamental65.6
Smart Money
ML Ensemble
Composite60.8—
Universe percentile65

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: 60.8/100
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.