Stocks ‘Can Collapse At Any Time’ If The Fed Does This Warns Analyst | Milton Berg

Market & Macro Setup (FOMC Risk Window)

• Recording time: Wed, July 29, around 12:30 p.m. ET, just before the FOMC.
• Risk-on / risk-off snapshot:
  • NASDAQ: -1.4% intraday (as of ~12:30 p.m. ET)
  • S&P 500: down about -1.1% intraday
  • Gold: down about 60 bps (~-0.60%)
  • Treasury yields: slightly up
  • WTI oil: holding around $85/bbl
• Core question: why markets are sliding ahead of the FOMC—and what markets expect not only for this meeting, but long-term.

What Milton Berg Expects the Fed to Do

Presenter’s claims (contrarian vs consensus)

• Consensus: no rate hike today.
• Berg’s view:
  • More than 50% likely the Fed raises rates at this meeting.
  • “Definitely likely 100%” something will be done (with the caveat that the Fed can’t literally say 100%).

Mechanisms cited

• Balance sheet tightening (QT):
  • Likely announcement/reduction in the balance sheet.
  • Framed as selling bonds / quantitative tightening.
• Rates:
  • Likely hikes, driven by the idea that the Fed follows the 2-year yield.
  • Berg claims the Fed “historically has always followed the two-year yield” and won’t let it get ahead.

Inflation policy stance

• Berg characterizes the proposed Fed chair (Kevin Walsh, per transcript) as highly action-oriented on inflation.
• He speculates the Fed may ultimately accept a lower inflation target of 1% or lower during the chair’s reign.

Policy Scenarios & “How Much Tightening”

Prediction market referenced (Koshi)

“Number of Fed rate changes before 2027”:

• 0 changes: 30%
• 1 change: 41%
• 2 changes: 19%

Host caution / implied context

• The wording is “rate changes,” so it could mean hikes or cuts.
• The host states that no one predicts cuts this year.

Berg’s framing: hikes vs balance sheet size

• Berg downplays the importance of the number of rate hikes versus the size of the balance sheet:
  • Says the balance sheet is “way, way, way too large.”
  • Argues QT reduces money supply directly and may be more impactful for inflation than hikes alone.

Bear/Bull Debate: “Is this a Bear Market like 2022?”

Berg’s stance

• He says markets look “corrective,” not necessarily a bear market yet.
• He is tactically short.

Key historical points about 2022

• He argues the bear market began before Fed tightening, linked to a geopolitical shock in his narrative (Putin/Ukraine “war” timeline).
• He claims later Fed tightening did not prevent a continued rally and suggests people misattributed causality to Fed timing.

“Bear market” doesn’t require a recession

• He argues a bear market can occur without recession—slowdown + overvaluation may be enough.

Technical / Timing Framework (Step-by-Step Elements)

Montgomery cycles (Paul Montgomery)

• Berg uses Montgomery cycles:
  • Belief: there are two reversal periods each year that can signal tops/bottoms (not directional certainty).
• He claims the method helped call gold’s top earlier.
  • He says they got out around Jan 30.
• He argues the current period aligns with a spike-low / reversal window.

“Exhaustion” and gap behavior

• A bottom is more credible when:
  • price declines are orderly
  • there’s exhaustive behavior
  • downside gaps/panic selling are limited until the low
• He contrasts “minor gaps” with “panic spikes.”

Confirmation requirement (not instant bottoming)

• Berg says bottoms often appear 1–4 days after the low once reversal action appears.

Model-based confirmation for whether to call a bear market

• He references “buy signal” history and says he won’t declare a bear market unless projections fail.
• For his retail model:
  • he tracks performance vs historical return bands
  • stays invested unless signals show material underperformance.

Positions & Recommendations (Explicit)

Short-term positioning (Berg says he is short)

• Semiconductors
• NASDAQ (NDX)
• S&P 100 (OEX)

Tactical long trial (about a 1% position)

• Caspi(a) is mentioned (ticker spelled/garbled in transcript).
• Berg says they took a +1% long because price action suggested a short-term bottom aligned with a Montgomery cycle date.
• Stated drawdown reference: the asset had declined about 43.93% to that morning’s low.
• Risk rule: if lows don’t hold, they “probably” exit; if turnaround evidence appears, they may add.

Performance Metrics & Levels Cited

• S&P 500 correction depth (referenced): down 5.03% to June 9.
• New highs vs NASDAQ weakness:
  • Host: on a low day, >50% of S&P 500 stocks made new highs (example cited: 54 stocks).
  • Yet NASDAQ fell 8 of 9 days (Berg calls it “negative divergence”).
• Analogies used:
  • 1985: decline another 4.5% before bottoming
  • Jan 7, 2022: negative divergence; NASDAQ peaked in Oct 2021; S&P later declined ~24% (estimate from transcript)
• Equal-weight / unweighted divergence theme:
  • Berg claims equal-weight S&P made new highs while major tech/semis were weak, which can be misleading.
  • He cites the 2000 historical pattern.

Sector/Asset Calls & Risk Considerations

Semiconductors “bear-market-ish”

• SMH (VanEck Semiconductor ETF):
  • peaked in late June
  • down about 25%
• Company declines mentioned:
  • Intel: down 40%+
  • SK Hynix: cited as down 50% (ticker garbled)
  • ASML / Sandex: garbled mentions; one number reads down 14% (unclear)

Gold view

• Berg claims he sold personal gold on Jan 29, 2026.
• He argues gold is “ahead of itself” versus inflation using ratios such as:
  • gold/crude
  • gold vs CPI
  • gold vs housing prices (median home sales price)
• His prior holdings cited:
  • +5% gold
  • +5% silver
  • +5% GDX (Gold Miners ETF)
• Longer-term stance (via miners): bearish gold, bearish silver, bearish gold stocks.

“When rates rise, what sectors do well?”

• Berg says there’s no single sector he would “pound the table” as a winner in rising-rate environments.
• He states:
  • Gold should not do well when rates rise.
  • Technology should not do well when rates rise.
  • He adds that “big tech” did better historically in low-debt regimes, but argues that’s changing.
• Tech thesis:
  • AI/hyperscalers are borrowing heavily (“trillions” in borrowing, debt financed).
  • As rates rise, borrowing costs rise, creating a stronger negative impact than prior cycles.

Valuation / P-E Discussion

• Host references “NASDAQ P.”
• Berg discusses blended forward 12-month P/E:
  • around 24x
• He argues valuation alone shouldn’t be used as a timing rule:
  • P/E at past peaks varied significantly
  • markets can remain overvalued for long periods.

Margin Debt / Systemic Risk Warning

• Berg highlights a risk management point:
  • Margin debt relative to cash is at the lowest level in history (his claim).
• Warning logic:
  • If markets correct, investors may need to cover margin.
  • Rising rates make margin harder because margin rates increase.
• Rate levels referenced:
  • “natural rates” rising
  • 30-year, 10-year, and 2-year at one-year highs (no exact yields provided beyond that framing)

Retail Model / Performance Framework (Step-Based)

Instrument

• S&P 500 exposure for retail via “VU” or “SPY” (transcript ambiguous; SPY referenced clearly).

Rules

• Buy after “buy signals” near bear-market lows.
• Avoid buying immediately before/at bear-market onset; “get out” after bear market likelihood becomes high.
• Uses model projections from historical signal behavior.

Performance metrics stated

• Historically gained about 18%–18.5% per annum
• Typically 0–3 trades per year

Recent signal timing

• A “buy signal in 2026” around April 8 / April 10:
  • about 8 days after the low (“late” vs usual).
• Signals generally occur within 1–5 days of the low.

Disclosures / Disclaimers

• The transcript does not explicitly include a “not financial advice” disclaimer.
• The discussion is framed as speculative in parts (e.g., cycle work), and bottom/forecasting models are not guaranteed.

Tickers / Instruments Mentioned (As Clearly As Possible)

• Indices (short): NDX, OEX
• ETFs / funds: SMH, GDX, SPY
• Commodities: gold, silver, WTI crude oil
• Stocks mentioned: Intel, SK Hynix (ticker garbled), plus other unclear names due to subtitle/ticker errors.

Key Presenters / Sources

• Milton Berg — founder of MB Advisors / miltonberg.com (also referenced as Miltonberg Edge/Edge.com in transcript)
• Host: “Val” (only appears as “Val”)
• Paul Montgomery — source for cycle method mentioned
• Koshi — prediction market sponsor referenced in the intro (a referenced platform, not a financial institution in this context)