WealthFlow Engine Q2 Rebalance
Sold 13 of 14 original positions after a +17.71% quarter vs +11.54% for SPY.
New holdings:
MU 17.7%
JAZZ 17.6%
JEF 17.6%
SUN 17.6%
STRL 16.1%
ARW 9.0%
CPAY 5.4%
FSLR 3.9%
Now we let the process work.
Scaling in over the next few weeks and tracking everything publicly.
12/ TL;DR
$MU printed its best quarter ever, guided $7B above consensus, and still trades at ~10x forward. The memory supercycle got bigger, not smaller.
That’s why it anchors the book at 17.7%.
NFA. Cyclical risk is real. Size accordingly.
🧵 $MU EARNINGS REACTION — a thread
Why Micron is the 17.7% anchor of my optimized portfolio
1/
Micron just printed the strongest quarter in its history. This isn’t a beat — it’s a re-rating of what memory is as a business.
Here’s what happened, why it matters, and why $MU sits as the single largest position in my book. 👇
11/ The discipline note
17.7% is an anchor, not a max-conviction overweight. At a 10x forward multiple with contracted demand, it earns the weight. But I trim into euphoria, not after it fades — and Goldman’s cyclical warning is the reason I don’t size it higher.
Structure beats greed. 🎯
Quarter 2 Portfolio Breakdown 🧵
After the quarterly rebalance, these are the 8 names currently in the WealthFlow Engine.
None were selected manually.
Each earned its place through the optimizer based on expected return, risk-adjusted return, sector diversification, and portfolio construction.
Here’s why they made the cut 👇
The biggest takeaway:
The optimizer isn’t trying to find the next 100% stock.
It’s trying to build the best portfolio.
Sometimes that means buying high-growth leaders. Other times it means owning businesses that improve the Sharpe ratio, control beta, and keep the portfolio inside its risk framework.
Portfolio management is about optimizing the entire basket, not chasing individual winners.
Quarter 2 Portfolio Breakdown 🧵
After the quarterly rebalance, these are the 8 names currently in the WealthFlow Engine.
None were selected manually.
Each earned its place through the optimizer based on expected return, risk-adjusted return, sector diversification, and portfolio construction.
Here’s why they made the cut 👇
8/ $FSLR — 3.9%
Smallest weight.
Still made the cut because:
• Renewable energy exposure
• Attractive risk/reward
• Low correlation with several existing positions
Sometimes the smallest allocations provide the biggest diversification benefit.