#976 Alpha Score 15.0

Han Sang-hee

Senior Research Commissioner, Hanwha Investment & Securities
· tracked since Jun 2026
976
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Alpha Score 15.0
Calls
26
Win Rate
65.4%
return
-2.7%
Calls 26 12 Posts tracked · 0.2/day
Calls
7d 4
30d 17
90d 26
Best Calls
MSFT Long +24.8%
NVDA Long +15.2%
OWL Long +12.6%
Worst Calls
000660.KS Long -47.7%
009155.KS Long -46.8%
009150.KS Long -35.1%
Most Mentioned
000660.KS ×4
SMH ×4
005930.KS ×3
Recent Calls
PSP Long 1 day ago
APO Long 2 days ago
BX Long 2 days ago
Win Rate 65% Long 25 Short 1
Win Rate
7d 62%
30d 33%
90d
Average Return -2.7% Long Return -2.6% Short Return -4.1%
Average Return
7d +1.3%
30d -11.9%
90d
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Result
Result
Sort
Theme Stance
Ticker
Side
Mentions
First Call
Call Price
P&L
Thesis
Theme
Source
Long
Aug 03
$512.21
+6.7%
Buy US non-memory semiconductors.
Non-memory semiconductors are preferred over memory. Non-memory stocks held up better during the recent correction and are rebounding. AI demand benefits GPUs, ASICs, and equipment makers, while memory price concerns weigh on memory stocks. Investors with heavy memory exposure should rotate into US non-memory names, using the Philadelphia Semiconductor Index ETF as a straightforward vehicle.
Thematic ETFs
Long
Jun 22
$2880000.00
-47.7%
Long memory semiconductors on prolonged AI cycle.
The AI-driven memory semiconductor cycle is longer and less volatile than past cycles, keeping P/E elevated. Samsung Electronics and SK Hynix are the dominant players benefiting from strong memory demand, and their stocks should continue to perform well.
AI Memory
Long
Jun 22
$352000.00
-27.4%
Long memory semiconductors on prolonged AI cycle.
The AI-driven memory semiconductor cycle is longer and less volatile than past cycles, keeping P/E elevated. Samsung Electronics and SK Hynix are the dominant players benefiting from strong memory demand, and their stocks should continue to perform well.
AI Memory
Long
Aug 10
$720.43
+0.2%
Nasdaq likely rallies after Dow high.
Historically, after the Dow Jones Industrial Average makes a new all-time high, investors rotate from safer large-cap value stocks into riskier growth names, driving a subsequent Nasdaq rally. This pattern has held for nearly 30 years and is likely to repeat now, supported by low event risk until the September FOMC meeting, still-reasonable valuations on major tech names, and ongoing AI monetization progress. The speaker expects the Nasdaq to break its prior high and to sustain upside at least into the September Fed meeting.
Equity Indexes
Long
Aug 04
$47.51
+1.6%
Private equity benefits from liquidity easing expectations.
Private equity firms surged recently due to expectations of liquidity easing and no rate hikes, benefiting from AI investments.
Capital Markets
Long
Aug 04
$103.55
+7.2%
Private equity benefits from liquidity easing expectations.
Private equity firms surged recently due to expectations of liquidity easing and no rate hikes, benefiting from AI investments.
Capital Markets
Long
Jul 27
$1197.25
+2.0%
Eli Lilly a great US pharma pick.
US large‑cap pharma and biotech are performing excellently, with Eli Lilly highlighted as a prime example. The stock is holding up well and the sector remains a preferred area within his coverage.
GLP-1 / Obesity
Long
Jul 27
$56.85
+2.0%
US financials strong earnings, low provisions.
US financials are displaying strong and improving fundamentals: net interest margins are widening for most banks, credit costs remain low, and banks are not building loan loss provisions, signaling confidence in the economy. This contradicts recession fears and makes financials a solid non‑AI barbell allocation.
Thematic ETFs
Long
Jul 14
$937.00
-2.5%
Buy memory stocks on cyclical timing.
Memory semiconductors are a cyclical industry, and the classic investment strategy is to buy at a high PER and sell at a low PER. Based on a valuation method that uses forward earnings estimates from a year prior, the sector is currently in a 'high PER' phase. With earnings estimates now soaring, the PER is set to collapse, marking the classic entry point for the cycle. The July-September period is a good time to start building positions.
AI Memory
Long
Jul 07
$194.04
+15.2%
US hyperscalers are attractively valued
US hyperscaler stocks like NVIDIA, Microsoft, Netflix have become significantly cheaper after recent selloffs. NVIDIA trades under 20x forward P/E, and the rotation from memory to hyperscalers makes sense from a portfolio rebalancing standpoint.
AI Compute
Long
Aug 11
$63.25
+0.7%
Nasdaq and private equity will rise.
The Dow hitting a new high is historically followed by the Nasdaq hitting new highs as risk appetite returns. M7 stocks are still not expensive, and private equity firms are rising because the market believes AI companies can repay their massive debt.
Thematic ETFs
Long
Aug 10
$132.02
+5.0%
Buy private equity from AI capex.
Private equity and alternative asset managers such as Blackstone, Carlyle, KKR, and Apollo are rising because AI-related capital raising is seen as directly benefiting the firms that are funding the AI build-out. Their stock strength also signals that market participants are not in risk-averse mode and are willing to take on exposure to AI infrastructure financiers.
Capital Markets
Long
Aug 10
$141.56
+3.7%
Buy private equity from AI capex.
Private equity and alternative asset managers such as Blackstone, Carlyle, KKR, and Apollo are rising because AI-related capital raising is seen as directly benefiting the firms that are funding the AI build-out. Their stock strength also signals that market participants are not in risk-averse mode and are willing to take on exposure to AI infrastructure financiers.
Capital Markets
Long
Aug 04
$518.21
+5.7%
Buy US non-memory semiconductors before memory.
US non-memory semiconductors should be bought before memory, as they dropped less during the correction and directly benefit from memory usage.
Foundry Equipment
Long
Aug 04
$193.78
+12.5%
Buy US non-memory semiconductors before memory.
US non-memory semiconductors should be bought before memory, as they dropped less during the correction and directly benefit from memory usage.
AI ASIC
Showing 15 of 26 calls · sorted by mentions

Han Sang-hee has 26 trade ideas tracked on Buzzberg across 26 tickers since June 2026. Win rate 65% across 26 evaluated calls, average return -2.7%. Ranked #976 on the Buzzberg Alpha leaderboard. Most covered: 000660.KS, SMH, 005930.KS.