The Worst Panic in 4 Years Just Happened. Here's Why Milton Berg Is VERY BULLISH on Stocks

Finance-Focused Summary (Markets, Investing Approach, Risk, Numbers)

Market View / Positioning (Explicit Recommendations)

• Current stance: “100% long” diversified across equities and sectors, entered/covered around the July 29–30 panic low.
• Portfolio allocations mentioned:
  • KOSPI (EWY): 5% long
  • Russell 2000: nearly 10% long
  • S&P mid caps: 5% long
  • Nasdaq 100: 10% long
  • Philadelphia Semiconductor Index (SOX / SOX index): 20% long
  • S&P 500 via SPY: ~49–50% long

Risk caveat / near-term caution

• Even with a bullish bias, Milton says it’s possible the S&P 500 makes a short-term top this week.
• He suggests SOX and KOSPI may “trade back down toward the lows” within the next 1–2 months.
• “Outside chance” framing: the move could be the first leg of a bear market.
  • He says he currently has no evidence pointing to major recession/dislocation, but the scenario remains possible.

Gold/silver stance

• He says he is not long gold and silver now; he previously sold before the peak (per his story).
• He characterizes gold/silver as potentially in a long-term bear market, expecting:
  • retracement rallies
  • but no new highs

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Macro / Rates / Liquidity Framing

• He repeatedly emphasizes liquidity, leverage, and margin liquidation dynamics as key drivers behind panic lows and “exhaustion gaps.”
• Fed and bonds:
  • Expects tightening could come via rate hikes and/or quantitative tightening (described as a “monetarist” framing).
  • Argues inflation is a monetary phenomenon.
  • Treats oil shocks as not directly “inflationary” in the Fed’s sense:
    • oil consumes spending power,
    • while other prices/economy adjust.
• Notes the 30-year Treasury yield around 5.42% (as stated by the host), and claims long bond yields are “cheap” historically and could normalize toward ~6%–8%.
• He adds: a major bear market usually occurs after Fed tightening, suggesting stocks may not yet have fully peaked.

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Key Market Calls & Technical/Statistical Evidence

July 29 Panic Low (Core Bullish Trigger)

• He highlights a July 29 “Montgomery cycle date” as a turning point.
• Divergence evidence:
  • S&P 500: formed a positive divergence vs the prior low:
    • July 29 low was above the June 9 low.
  • Semiconductor/tech leaders (e.g., Nasdaq 100 and SOX) made new lows, but the S&P did not, supporting his “bottomed” thesis.
• Positioning shift:
  • Was short until July 29–30.
  • Then covered shorts on the low day and went long the next day.

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“Exhaustive Gap” Concept (Risk Management)

He uses gap types to frame forward expectations:

• Upside gap can be exhaustive (panic/forced buying that later fails).
• Exhaustive upside gap: the market gaps up and does not follow through immediately, implying a possible retest of lows or early phase of downside.

Examples cited

• Nasdaq 100 (NDX/NDX 100):
  • Gapped after the low; interpreted as potentially exhaustive.
• KOSPI:
  • Gapped into a “recovery high date,” also framed as potentially exhaustive.

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“Test of the Lows” Expectation (Retest Risk)

• Core caution: markets typically don’t crash then V-bounce straight up; they often test lows.
• Historical parallels:
  • KOSPI dropped 43.93% in 27 days, bottomed again near July 29.
  • SOX dropped 28.73% into the July 29 low (from prior peak context).
  • 1987 example: S&P down 45.94% into the low, then later tested again ~2 months later.

KOSPI Bear-Case vs Bull-Case Level Framework

• He proposes a “crashing” test:
  • If the market is “crashing,” it should not violate the July 29 intraday low.
  • He contrasts intraday low vs closing low.
• Based on his stated math:
  • Intraday low ≈ about 19% below current
  • Closing low ≈ about 12% below current
  • Anything more than 19% would indicate something worse (higher probability of a deeper bear leg).

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Performance / Risk Metrics and Quantified Projections

Buy Signal Framework (April Buy Signals)

He claims multiple buy signals in late March / early April, using historical “median” and minimum/maximum projections for the S&P 500 based on occurrences since 1957.

Key numbers and ranges mentioned

• More than 30 buy signals (late March–April window).
• Example projection ranges discussed:
  • Composite signal around March 31 (initially ignored; later adjusted due to sample size):
    • projection roughly 8,200–10,600
  • Signal on April 10 (based on Nasdaq declines/holding lows):
    • Minimum to ~7,942.59 (+2.38% above current)
    • Up to ~8,953.99 (~+15% above Friday close)
  • Signal on April 13:
    • Minimum area ~8,240–8,300 (~+6.25%)
    • Median gain to about +12.27%
  • Signal on April 14:
    • Minimum ~8,826–8,828 (~+13%)
    • Median about +18%
  • All signals through April 27:
    • Minimum expected return: ~+6.82% to about 8,286? / 8,286.21
    • Median of maximum returns: ~+15.49% to about 8,958.23

Important emphasis

• These are described as signal-based historical outcomes, not moving-average style forecasts.

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Probability-Like Follow-Through

• For a specific upside-gap/breakout pattern, he claims an empirical success rate of about 80% that follow-through is to an upside market.

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Expected Drawdown / Entry-Exit Discipline (Implied)

• Retail model rule-of-thumb: wait for buy signals, move out when down about ~8%.
• Institutional model: more mechanical risk handling:
  • “Get out after X% decline and get back in at the low”
  • (exact X% not provided in the transcript)

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Methods / Frameworks Explicitly Shared

Institutional “Turning-Point / Signal” Methodology (As Described)

Turning points are identified using:

• Cycle dates (including a “Montgomery date” framework)
• Positive/negative divergences between indices (e.g., S&P vs Nasdaq/SOX behavior)
• Exhaustive gap logic:
  • assess whether gaps after turning points appear exhaustive vs impulsive
• Panic/liquidation proxies via volatility measures:
  • VXN deviation from trend
  • where VXN = “VIX for the Nasdaq 100”

Positioning logic:

• Go short until panic/liquidation reversal evidence appears (example: July 29–30), then flip long.
• Maintain longs while monitoring early topping evidence (e.g., gaps/exhaustion/possible short-term top).

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Retail “Milton Berg Edge” Methodology (As Described)

• Invest in S&P 500 total return ETF:
  • SPY (or “the bulls” mentioned for dividend total return)
• Hold until the market declines about ~8%, then:
  • move to Treasury bills
  • re-enter at the first buy signal
• He discloses the approach relies on rarities observed at market bottoms, not typical moving-average backtesting.

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Disclosures / Disclaimers

• No explicit “not financial advice” disclaimer appears in the provided transcript.

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Tickers, ETFs, Indices, Sectors, and Instruments Mentioned

• SPY (S&P 500 ETF)
• EWY (KOSPI ETF)
• KOSPI (index)
• Russell 2000 (index)
• S&P 500 and S&P mid caps
• Nasdaq 100 / NDX
• Nasdaq Composite
• Philadelphia Semiconductor Index (SOX / SOX index)
• VIX / VXN
  • VXN = “VIX for the Nasdaq 100”
• Treasury bills / T-bills
• 10-year and 30-year Treasury yields
• Gold and silver
• Crude oil
• GDX (gold miners ETF)

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Presenters / Sources Mentioned

• Milton Berg — MB Advisors / Milton Berg Edge
• Jack — host of Monetary Matters