the
JUNGLEROOM
🇺🇸  US Market
NYSE
--:--:--
🇦🇺  ASX
ASX
--:--:--
Bubble: 75th pct
Danger zone:
IVV $730 · 21× fwd PE
QQQ $706 · 30× fwd PE
Data: June 24, 2026
Be fearful when others are greedy, and greedy when others are fearful.
— Warren Buffett
Bull markets are born on pessimism, grown on scepticism, mature on optimism and die on euphoria.
— Sir John Templeton
In the short run, the market is a voting machine but in the long run, it is a weighing machine.
— Benjamin Graham
Far more money has been lost by investors preparing for corrections than has been lost in corrections themselves.
— Peter Lynch
When you see headlines like these — do you feel the urge to sell?
🧭
If yes — you're thinking clearly. These are rational reactions to a market where some AI names trade at 80–135× forward earnings. What separates conviction from panic isn't fearlessness — it's a framework. The Jungle Room maps today's valuations against 100 years of bubble history, so the data answers the fear instead of the headlines.
🌿 What is The Jungle Room for?
🧘
Reduce concentration anxiety
  • Sharp swings in AI stocks feel personal — data replaces emotion with reasoning
  • See where valuations sit against 100 years of bubble history
  • Turns "should I panic?" into "what does the evidence say?"
  • Hold with conviction, not fear
✂️
Know when to trim
  • Dalio fwd PE ≥ 60× = Danger zone — priced for flawless execution
  • Any earnings miss triggers outsized drawdowns at these multiples
  • Trim signal before bad news = risk management
  • Trim signal after bad news = panic selling
🌏
Find alternatives to IVV & QQQ
  • Pure US mega-cap bundles currency, concentration & valuation risk in one trade
  • VHY: Australian income layer with dividends + franking credits
  • AINF / PAVE / IFRA: AI infrastructure exposure at lower multiples
  • Absolute valuations well below US equivalents
Bubble barometer
75th pct
High Risk zone · Dalio 6-factor
Stocks in danger zone
fwd PE ≥ 60× (trim signal)
IVV · S&P 500
$730
Fwd PE 21× · Reasonable
ETF base case (10yr)
~9% p.a.
VHY 55% + AI infrastructure
📡 AI Bubble Cycle Barometer
Where are we in the AI stock cycle? — Ray Dalio's 6-factor bubble indicator applied to June 2026 data. Shaded band = 95% confidence interval.
0% 50% 100% 62 88 75th
75th percentile
⚠️ High Risk Zone
95% CI: 62nd–88th percentile  ·  Dalio: "~80% of 1929/2000 euphoria"
Safe (0–40) Elevated (40–55) Caution (55–70) High Risk (70–85) Mania (85–100)
Dalio's 6 Indicators — June 2026
① Prices vs. historical norms 70/100
Nasdaq trailing PE ~36×; US tech EV/EBITDA 25× near historical extremes. S&P 500 fwd PE 21×. Elevated — but half the 80–100× of the 2000 dot-com peak.
② Unsustainable conditions priced in 68/100
Amazon FCF −95% YoY, Google FCF −47% YoY from AI capex. Market prices imply a decade of perfect execution across all hyperscalers simultaneously.
③ New buyers entered 75/100
AI ETF proliferation globally, record retail FOMO inflows, sovereign AI fund formations. "AI" mentioned on >70% of S&P 500 earnings calls.
④ Broad bullish sentiment 78/100
AAII and NAAIM at historically concerning levels. AI optimism pervasive across retail and institutional investors with minimal scepticism.
⑤ Leverage financing purchases 72/100
US margin debt at record highs, surpassing the 2021 peak. Corporate debt for AI capex: $650B committed by 4 hyperscalers in 2026 alone.
⑥ Extended forward purchases 70/100
Multi-year AI supply contracts locked in (NVIDIA backlog), elevated options positioning, sovereign cloud commitments stretching into 2028–2030.
Composite (equal-weighted avg) 72/100 → 75th pct*
*Calibrated upward from 72 raw to 75th percentile using Dalio's own reference: "~80% of the euphoria of 1929 or 2000" (Jan 2026). Bridgewater CIO Greg Jensen updated to "more dangerous phase" in June 2026. The June 2026 Nasdaq selloff (−2.2% in a single session) suggests early-stage reality-checking has begun, preventing a push toward 85th+.
"All great technology changes produce bubbles." — Ray Dalio, Bloomberg Television, June 3, 2026
🏦 Why should investors pay attention to Dalio's framework?
Bridgewater Associates is the world's largest hedge fund (~$150B AUM), founded in 1975 by Ray Dalio. Its primary clients are sovereign wealth funds, central banks, pension funds, and endowments — institutions that collectively manage trillions in long-term capital and cannot afford speculative losses.

Track record: Bridgewater's Pure Alpha fund gained approximately +9.5% in 2008 while the S&P 500 fell 38% — one of the very few major funds to navigate the GFC profitably. Over four decades of market cycles, they have generated consistent risk-adjusted returns where most active managers have failed.

Why the bubble methodology is different: Rather than relying on a single valuation metric (P/E, P/S, etc.), Dalio's framework is a composite of six independently measured factors calibrated against 100+ years of bubble history — including 1929, 1989 Japan, 2000 dot-com, and 2008 US housing. Each factor captures a different aspect of speculative excess. Multi-factor composite models are significantly harder to fool with "this time is different" narratives because any single factor anomaly is diluted by five others.

Key caveat: Dalio himself holds significant AI stock positions despite his bubble warnings — Bridgewater's top six holdings at Q1 2026 were all major AI names. The framework identifies risk probability and cycle positioning, not a precise timing signal. Bubbles regularly extend further and longer than rational analysis suggests. The correct response is risk management — trimming oversized positions, diversifying into defensive exposures — not wholesale exit.
📋 Weekly change log
▲ = increased risk  ·  ▼ = decreased risk  ·  Scores 0–100 per factor (higher = more bubble risk). Updated every Monday.
Last updated
June 24, 2026
Prices as of prior close · Click any row for Dalio analysis
IVV — iShares Core S&P 500 ETF (USD)
Fwd PE21x
TTM PE28x
Price$730
Top 10 holdings: 37.8% of fund — heavily concentrated in mega-caps
AAPL 7.2% · MSFT 6.5% · NVDA 6.1% · AMZN 3.9% · META 3.0%
GOOGL-C 2.6% · GOOGL 2.4% · BRK.B 1.9% · AVGO 1.9% · TSLA 1.8%
QQQ — Invesco Nasdaq 100 ETF (USD)
Fwd PE30x
TTM PE38x
Price$706
Top 10 holdings: 56.4% of fund — extreme mega-cap concentration
AAPL 9.2% · MSFT 8.4% · NVDA 8.1% · AMZN 5.3% · META 5.0%
GOOGL-C 4.0% · GOOGL 3.5% · TSLA 3.0% · AVGO 2.5% · COST 2.2%
Trailing P/E — S&P 500 vs Nasdaq 100 · 2016–2026 annual · Note the 2020 spike from COVID earnings collapse and current re-compression
Loading market commentary…
Danger zone
Caution
Reasonable
Stocks tracked
Dalio identifies asset bubbles using 6 metrics. This dashboard directly measures Metrics 1, 2 and 4. Metrics highlighted in green are quantitatively applied per stock.
METRIC 1 ✓
Price vs. traditional measures
Forward PE and TTM PE vs. historical norms. The primary verdict signal: >60x = Danger, 38–60x = Caution, ≤38x = Reasonable.
METRIC 2 ✓
Unsustainable growth baked in
When TTM PE is significantly above Forward PE, it reveals aggressive analyst extrapolation — prices assume perfect execution for years ahead.
METRIC 3
New buyers entering
Surge of retail or institutional first-time buyers, measurable via options flow, Reddit/social sentiment, or fund exposure data.
METRIC 4 ✓
Broadly bullish sentiment
Analyst upgrade/downgrade trends, ATH proximity, and media narrative — covered in per-stock notes and macro commentary boxes above.
METRIC 5
Leverage-financed purchases
High margin debt, leveraged ETF inflows, or corporate debt used for buybacks at inflated prices — amplifies downside when sentiment turns.
METRIC 6
Extended forward purchases
Unusually long inventory commitments or capex pre-orders (e.g. AI chip lead times) that lock in spending beyond what organic demand supports.
Danger — Fwd PE >60x · Metrics 1+2 both firing · extreme growth extrapolation
Caution — Fwd PE 38–60x · elevated but not bubble-level · monitor guidance delivery
Reasonable — Fwd PE ≤38x · within historical norms · no valuation bubble signal
P/E Ratio
Price-to-Earnings. How many years of current profits you're paying for. A P/E of 25 means you'd wait 25 years to "earn back" the price — assuming profits never change.
Forward P/E
Same as P/E but using next year's predicted earnings. More forward-looking — but relies on analyst forecasts being accurate. This is the primary Dalio Metric 1 signal on this dashboard.
TTM P/E
Trailing Twelve Months — uses the last 12 months of actual profits. If TTM is much higher than Forward P/E, analysts expect big earnings growth ahead. A large gap triggers Dalio Metric 2.
52-Week Return
How much the stock price has moved (%) over the past year. Very high returns (+100%+) suggest a lot of good news is already priced in — the easy gains may be behind you.
Dalio Bubble
Ray Dalio's checklist: prices far above historical norms, unsustainable growth assumptions, broad optimism, leveraged buying, and extended forward commitments. The more boxes checked, the higher the bubble risk.
Danger / Caution / Reasonable
This dashboard's verdicts. Danger = Fwd PE >60x (priced for perfection). Caution = 38–60x (elevated, watch guidance delivery). Reasonable = ≤38x (within historical norms).
AI Infra
Companies physically building or powering AI: GPU makers (NVDA), chip architects (ARM), networking (ANET), foundries (TSM, AVGO), memory (MU), equipment (AMAT). Revenues tied to AI data centre capex.
ETF
Exchange Traded Fund — a basket of stocks you buy as a single unit. IVV gives you a slice of the entire S&P 500; VHY gives you Australia's highest-dividend payers. Built-in diversification.
AUD vs USD
ASX-listed ETFs (VHY, AINF, PAVE, IFRA) are priced in Australian dollars. US stocks and ETFs (IVV, QQQ) are priced in US dollars. Currency moves affect AUD returns from US-denominated holdings.
🌿 ASX ETF Portfolio Analyser
VHY / AINF / PAVE / IFRA  ·  55 / 15 / 15 / 15 weighting  ·  AUD
VHY
55%
Vanguard High Yield — Australian dividend income
AINF
15%
GlobalX AI Infrastructure — data centres, power, AI enablers
PAVE
15%
GlobalX US Infrastructure Development — construction, engineering
IFRA
15%
VanEck Global Infrastructure — utilities, toll roads, airports
Invest:
Projected Growth — 10 year
Bear (~4% p.a.) / Base (~9% p.a.) / Bull (~13% p.a.) — Goldman Sachs + Dell'Oro capex research, Jun 2026
Scenario returns are blended portfolio estimates. AINF/PAVE assumptions anchored to Goldman Sachs AI CapEx baseline ($765B in 2026 → $1.6T by 2031) and Dell'Oro data centre capex research. Bear: recession + AI capex disappointment. Base: continued AI buildout + moderate dividend growth. Bull: AI supercycle + rate cuts + commodity recovery. Not financial advice.
Historical Backtest
Simulated portfolio value if invested on a past date
Start date: Min: Jan 2024 (AINF listing limit)
📅 Actual Portfolio Performance — Real Recorded Data
Daily snapshots recorded by the 9:30am scheduled task · Enter a past date and investment amount to see real performance
If I invested on:
Amount:
How it works: The scheduled task records each ETF's closing price daily and calculates a blended portfolio index (base 100 at first run). If you invested on a day the index was at 105 and it's now at 112, your $100k has grown to $106,667. Data recorded from 27 May 2026, updated daily — the further into the future, the richer this chart becomes.
AINF listed on ASX ~Dec 2023, so Jan 2024 is the practical minimum for blended backtesting. For actual recorded data, tracking begins today (27 Jun 2026).  ·  Storage: local portfolio-history.json — versioned alongside the project, no cloud dependency.
🌿 Why This Portfolio? — The Investment Thesis
A defensive equity allocation that still captures AI infrastructure growth · Not financial advice
This Portfolio
55% VHY · 15% AINF · 15% PAVE · 15% IFRA
IVV
S&P 500
QQQ
Nasdaq 100
Fwd P/E~17×21×30×
Dividend yield~3–4% p.a.~1.3%~0.6%
1-yr return (real)loading…+20%+25%
Top-10 concentration<5% any single stock37.8%56.4%
CurrencyAUDUSDUSD
AI exposure✓ Physical layer (AINF)IndirectIndirect — software heavy
Franking credits✓ VHY distributions (AU residents)
🛡️
More Defensive
  • VHY's ~4–5% dividend yield creates a return floor even in flat or falling markets — income keeps arriving regardless of price movement
  • Infrastructure (PAVE/IFRA) earns regulated, contracted revenues tied to usage not sentiment — far less exposed to earnings surprises
  • Blended Fwd PE ~17× vs QQQ's 29.1× — significantly more margin of safety if growth expectations reset or multiples compress
  • No single stock exceeds ~5% — eliminates individual company blow-up risk entirely
📡
Still Captures AI Upside
  • AINF targets the physical layer of AI: data centres, power grids, semiconductor fabs — the infrastructure all AI companies must use
  • Hyperscalers (Microsoft, Amazon, Google, Meta) have committed $200B+ p.a. in AI infrastructure capex — this spending flows to AINF holdings regardless of which AI software product wins
  • AI infrastructure holdings have real earnings (utilities, REITs, equipment manufacturers) — lower and more justified multiples than pure AI software
  • "Picks and shovels" approach: own the infrastructure, not the speculation on which LLM wins
🌏
Built for Australian Investors
  • IVV/QQQ are pure USD exposure — AUD/USD fluctuations add 10–15% return variance annually for Australian holders, a risk most don't price in
  • VHY/AINF/PAVE/IFRA are AUD-denominated — no currency conversion, no forex friction on distributions
  • VHY dividends frequently carry Australian franking credits — a tax offset worth up to 30% of the dividend, available only to Australian residents
  • PAVE benefits structurally from the US Infrastructure Investment and Jobs Act ($1.2T committed through 2030)
⚖️ Honest Trade-offs — Important for Any Investment Decision
What you give up vs pure IVV / QQQ
  • In a strong US tech bull run (e.g. 2023–2024), QQQ will significantly outperform — that's the direct cost of defensiveness and you need to be comfortable with it
  • Lower daily trading liquidity than IVV/QQQ — ASX ETF spreads can be wider on volatile days
  • AINF launched Dec 2023 — a shorter track record than comparable US-listed infrastructure ETFs
  • Less global diversification — this portfolio is Australia-centric by design
This portfolio suits investors who want
  • AI growth exposure without betting on which AI software product wins — own the infrastructure layer instead
  • Dividend income as a real return buffer — getting paid to wait during volatile periods
  • Reduced AUD/USD currency risk on the equity portion of their portfolio
  • A Dalio-style tilt — all-weather equity that is not fully correlated to US tech sentiment or Fed rate cycle
This is not financial advice. Past performance is not indicative of future returns. All figures are approximate, sourced from publicly available ETF factsheets and market data. Consult a licensed financial adviser before making investment decisions.  ·  ASIC MoneySmart — ETF Guide ↗
Share ticker card