Video summary

False Breakout? Or Is A Wave Of New Market Highs Ahead? | Michael Lebowitz

Main summary

Key takeaways

Finance

Market recap (macro → rates → assets)

  • US payrolls report (July) disappointed: payrolls were down ~23k (approx.), described as a “5-sigma” miss.
  • Initial market reaction: investors priced a higher chance the Fed hikes less / not as much, leading to:
    • Bond yields fell
    • Precious metals jumped
  • Labor market nuance: even with weaker payrolls, the unemployment rate fell to ~4.1% due to a participation-rate drop (people leaving the workforce / discouraging job search), implying weaker underlying labor health.
  • Wage growth concern: BLS-reported wages were ~+0.1% (approx.) and trending downward for ~1.5 years. With inflation still elevated, real wages are negative, pressuring ~70% of personal consumption.
  • Fed timeline: before the late-September Fed meeting, the key incoming data includes:
    • Another unemployment report
    • Second CPI/PPI readings
    • Rate-hike odds were previously ~80–85% for September, now closer to ~40% (per discussion).

Oil / inflation framework

  • Oil inflation risk is treated as “event-driven”, not a persistent inflation regime.
  • Oil reference points:
    • Crude discussed around ~$80/bbl
    • Scenario logic: if crude stays at ~$80 for 2 years, the argument is that it implies little incremental CPI inflation from crude over that period (even if it’s structurally higher than pre-Iran levels).
  • Diesel supply risk is acknowledged:
    • Diesel shortages could create an additional inflation pulse via shipping/trucking cost pass-through
    • However, CPI is said to be dominated by other components—especially rents, which are still deflating.

Bonds: why yields are high despite disinflation hopes

Drivers cited for higher Treasury yields

  • Supply/demand imbalance
    • More government debt issuance (deficits, refinancing)
    • Increased borrowing demand from hyperscalers/AI buildout, increasing competition for investor capital
  • Japan yen defense dynamics
    • Japan needs dollars to buy yen
    • The speaker’s view: Japan may use repo facilities rather than outright Treasury selling, referencing a prior intervention episode that contributed to a yen-carry unwind

Real yields as the focal point

  • Real yields are emphasized as very high (speaker claim: ~3% real yields).
  • Reference: 30-year TIPS with ~3% real yield (above inflation).
  • The speaker notes inflation expectations (5–30 years) are said to be roughly flat over several years, so the issue is framed more as:
    • deficits/supply
    • term premium sentiment

Term premium framed as sentiment/fear (not just inflation)

  • “Crowding out” narrative:
    • Hyperscalers/corporates may issue more debt → term premium up → yields up
  • Mitigation idea:
    • Firms can shift to equity issuance (examples mentioned: Google, Microsoft, Meta, possibly Amazon)
  • Conclusion: crowding-out pressure may ease if issuance mix shifts and/or fear changes.

Correlation signals

  • Claim: highest correlation between oil and bonds (and related oil/bonds/gold dynamics).
  • Gold correlation: described as negative vs oil, tied to real-rate behavior.

Stocks: “false breakout?” + technical/risk signals

Index behavior and underlying dispersion

  • The S&P 500 moved into near/all-time-high territory after a 2–3 month consolidation, but with weak breadth underneath.
  • Index calm coexisted with volatile sector/stock rotations, including examples such as:
    • “Chips on fire” while Microsoft/Apple weakened (Mag 7 dispersion noted)
    • Micron / AMD / Intel cited as names where momentum crowded to extremes and then reversed
  • A “situational awareness” fund was referenced as heavily levered (details below).

Technical framework / explicit decision points

  • Watch whether price holds the breakout or re-enters the prior range rectangle.
  • Support reference
    • ~200-day moving average around 710 (SPY) vs S&P around ~770 (roughly ~8% lower)
  • Indicators
    • MACD turned up (buy signal)
    • RSI becoming overbought → potential pause/mean reversion
    • Implied vs realized volatility divergence:
      • Since the rally: realized vol rising, implied vol falling
      • Flagged as a warning sign (pricing future risk as less than realized)

Equity positioning risks

  • Call option volume off the charts, yet implied vol still falling
  • Margin debt at the highest ever, with options potentially funded via margin → leverage vulnerability

Leverage case study (explicit caution)

“Situational Awareness Fund” narrative

  • Mentioned as founded by a ~24-year-old with background references including OpenAI and context around FTX Sam Bankman-Fried.
  • Performance claim:
    • up to ~6700% through June
    • assets ~$45B
    • levered ~4x

Mechanics / lesson

  • Simplified math given:
    • 4x leverage means a 25% stock drop could wipe ~100% of the leveraged equity.
  • Momentum crash driver:
    • Micron/AMD weakness drove margin calls → forced selling → the fund reportedly “went belly up.”

Key takeaways

“Leverage kills.” “The market knows more than you.”


Factor/rotation strategy (method + portfolio construction)

Core approach

  • Rotation across style factors and sector ETFs using relative/absolute technical strength scores.

Simplevisor.ai (beta) & rotation tool (as described)

  • Track:
    • Relative score: instrument price vs S&P 500
    • Absolute score: instrument level/trend
  • Scores range from -1 to +1
  • Use stretched pairs and convergence/divergence to time:
    • trade entries
    • position shifts

Example pair: growth vs value

  • MGK (large-cap growth) vs VTV (large-cap value)
  • Since July 28 (speaker claims):
    • MGK +~6.6%
    • VTV ~flat

Implementation example (RAA)

  • Added to several largest megacap stocks
  • Reduced value stocks (e.g., Coca-Cola mentioned)
  • Sector/holding examples:
    • XLK (tech ETF) and VTV exposure discussed, including indirect Micron exposure
  • Stated performance:
    • factor rotation model “up ~20% this year” (approx.)

Rebalancing discipline

  • Rebalanced/thematically adjusted after large winners/losers.
  • Example: Microsoft increased from ~4.5% to 6% due to relative strength and “due for rebalancing” on stretched weights.

Precious metals (and miners) setup

Recent moves

  • Silver: >4% up on at least two mornings
  • Gold: +$100/oz, and at one point ~+$170/oz (approx.)

Driver and caution

  • Driver: metals strength attributed to falling real yields after weak payrolls.
  • Caution for miner ETFs in pair-trading:
    • rotation signals may be less “apples-to-apples” across instruments like GDX vs GLD vs S&P
    • suggested better pair: GDX (miners) vs gold (GLD) to assess relative cheapness

Performance / benchmark context (portfolio results)

RAA vs a 60/40 benchmark

  • Equity model: 20–25 single stocks
  • Sector model: mostly ETFs across the 11 S&P sectors, plus a couple subsectors

YTD behavior narrative

  • Earlier lag attributed to missing very high-momentum names (e.g., Micron-related moves).
  • Last ~week: equity model “caught up,” returning roughly to line with the benchmark (small difference).

Explicit recommendations / cautions (as stated)

  • Technical caution (S&P):
    • Treat the breakout as potentially false until it holds above the breakout range
    • If it falls back below the range: cause for concern
  • Volatility/leverage caution:
    • Rising realized vol with falling implied vol
    • Margin debt + option activity increase risk of fast reversals
  • Leverage warning:
    • High leverage repeatedly condemned
  • Portfolio construction:
    • Use diversification to reduce “single superstar” blow-up risk
    • Use rotation tools to avoid blindly chasing momentum

Assets / tickers / instruments mentioned

Indices / benchmarks

  • S&P 500
  • SPY

ETFs (mentioned)

  • VTV (value)
  • MGK (mega-cap growth)
  • XLK (tech)
  • GLD (gold ETF)
  • GDX (gold miners)

Sectors

  • S&P 11 sectors
  • technology / tech sector

Individual equities (mentioned)

  • Microsoft
  • Apple
  • Nvidia
  • Broadcom
  • Micron
  • AMD
  • Intel
  • Coca-Cola

Inflation/rates instruments

  • 30-year TIPS

Commodities

  • Crude oil (WTI/Brent not specified)
  • Gold
  • Silver
  • Diesel (in the inflation discussion)

FX / rate policy

  • Yen (JPY)
  • Treasuries
  • repo facilities

Key numbers & timelines (all approximate as transcribed)

  • Payrolls miss: ~23,000 down, described as “5-sigma miss”
  • Unemployment: ~4.1% (noted alongside 4.2% / 4.1%)
  • Wage growth: ~+0.1% (BLS)
  • September rate-hike odds narrative: ~80–85% → ~40%
  • Fed meeting timing: late September
  • Oil scenario:
    • ~$80/bbl cited
    • range examples included ~$60 (normalization) and risks up to ~$200
  • TIPS: real yield ~3% (30-year)
  • S&P/support:
    • S&P ~770
    • 200-day (SPY) ~710
  • Metals:
    • gold +$100/oz, at times +$170/oz (approx.)
    • silver >4% up days
  • Leverage case:
    • ~4x leverage
    • peak fund claim ~6700% through June
    • fund size ~$45B
  • Rotation tool scores: -1 to +1
  • Rotation example:
    • MGK +~6.6%, VTV ~flat since July 28
  • RAA factor model performance:
    • ~+20% this year (stated)

Methodology / frameworks explicitly shared

Breakout validation (technical)

  • If the breakout fails and price returns into the prior range → consider it a false breakout
  • If price breaks below the range → bearish / concern
  • Indicators referenced:
    • MACD (buy signal)
    • RSI (overbought risk)
    • 200-day support (~SPY 710)

Implied vs realized volatility check

  • Rising realized while falling implied flagged as a near-term risk mismatch.

Rotation model (relative/absolute scoring)

  • Compute:
    • relative strength vs S&P 500
    • absolute trend/level
  • Use pair extensions (convergence/divergence) to time rotations.
  • Use score changes to infer rotation direction (e.g., VTV vs MGK).

Real-yield driven rates framework

  • Real yields are framed as the dominant driver across gold/oil/bonds more than short-run inflation headlines.
  • With stable inflation expectations: focus shifts to deficits/supply/term premium sentiment.

Disclosures / disclaimers

  • The discussion includes investor guidance and a recommendation to consult a professional financial adviser.
  • No explicit “not financial advice” line was present in the provided subtitles, but adviser consultation promotion is mentioned.

Presenters / sources mentioned

  • Adam Teegert (host; “Thoughtful Money founder and host”)
  • Michael Lebowitz (guest; referenced with minor spelling variations in subtitles)
  • Lance Roberts (normally a co-presenter; absent for this segment)
  • Thoughtful Money (show/channel)
  • Lacy Hunt
  • Darius Dale (upcoming video referenced)
  • Jeff Curry
  • K.berg (referenced regarding equity expected returns, per subtitles)

Additional narrative references

  • FTX (Sam Bankman-Fried)
  • OpenAI
  • Citadel
  • Samsung / SK hynix (mentioned in relation to KOSPI references)

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