Macro Dashboard
| Indicator | Level | 5-Day Change | Signal |
|---|---|---|---|
| KOSPI | 6,803.9 | −0.5% | → Flat |
| KOSDAQ | 898.4 | +5.0% | 📈 Strong |
| VIX | 15.7 | −4.0% | 🟢 Stable |
| US 10Y | 5.27% | −0.02pp | → Flat |
| USD/KRW | 1,339 | −1.4% | 🟢 KRW firm |
| Brent | $101.9 | −0.3% | → Stable |
Regime: KR Neutral · US Bull · Stance: Selective US Expansion
The KR-US divergence is the defining macro fact right now. Korea’s breadth sits in no-man’s-land (50-day MA breadth: 57.8%, 200-day: 26.9%), while the US remains in bull territory. The KRW has firmed nearly 1.4% over five days, and Brent is flat — no macro headwind from oil or currency. Passive flows are the pressure point: ₩1.877 trillion in market program selling hit the tape today, offsetting ₩156.5 billion in ETF net creations. Basis remains positive at +5.12, open interest fell 5,412 contracts — the derivatives complex leans cautious.
Market Wrap
Note: A same-day full close briefing was not available. This section draws from the Oct 7 Research OS local DB snapshot.
Today’s session was selectively weak with a small-cap offset. Of 2,591 listed names, 883 rose and 1,438 declined — a skewed tape despite an average daily return of +0.38%. KOSPI’s 5-day lag versus KOSDAQ’s +5% surge says it plainly: liquidity rotated away from large-cap exporters and toward domestic-demand mid/small caps.
Sector divergence was sharp. The steepest foreign and institutional selling landed on names tied to global cycle exposure: LG전자 (066570.KS) dropped 10.54% on heavy foreign net selling; LG이노텍 (011070.KS) fell 8.23% with institutional distribution; 풍산 (103140.KS) lost 9.81%; 현대차 (005380.KS) shed 3.45% as both foreigners and institutions sold. POSCO홀딩스 (005490.KS), 현대제철 (004020.KS), and LS (006260.KS) all declined on dual selling pressure. The message: global cycle names — autos, copper, steel, large electronics — are seeing active position reduction by sophisticated capital.
On the other side, the session had identifiable pockets of two-sided institutional and foreign conviction. 에이피알 (278470.KQ, +4.99%) attracted both foreign net buying and institutional accumulation — a clean signal in K-beauty/consumer. SK이노베이션 (096770.KS, +1.01%) saw the same dual-buying pattern. 케이씨텍 (281820.KQ) surged 14.53% on institutional buying. 하이브 (352820.KS, +6.37%) and NC소프트 (036570.KS, +6.03%) showed institutional buying with price follow-through. 코스맥스 (192820.KS, +3.52%) was a notable split — institutional buying but foreign selling, worth monitoring for resolution.
Flow summary: Program selling dominated (-₩1.877T), with non-arb the overwhelming driver (-₩1.899T vs. arb +₩20.9B). Individual investors absorbed foreign and institutional distribution in Samsung Electronics (005930.KS) and SK하이닉스 (000660.KS). The character of the day: rotation away from Korea’s traditional export-cycle core and toward domestic consumer, entertainment, and select battery names.
Today’s Quality Re-Rating Candidates
Source: KR Meta Screener (2026-10-07), KR PEAD (2026-10-07). All data fresh. No multi-screener overlap candidates surfaced from the PEAD-only intersection check; candidates below are ranked by Meta Screener family score, which integrates quality, flow, cycle, earnings, and official catalyst layers.
Candidate Table — Top 10
| Rank | Ticker | Name | Family Score | Evidence Layers | Key Metrics | Angle |
|---|---|---|---|---|---|---|
| 1 | 005930.KS | Samsung Electronics | 67.9 | 7 (Cycle, PEAD, Quality, RS80, Flow, Market, Official) | ROE 10.7%, OP YoY +33.2%, Δmargin +2.2pp | Earnings leverage → re-pricing |
| 2 | 005935.KS | Samsung Electronics Pref | 63.0 | 6 (Cycle, PEAD, Quality, RS80, Flow, Market) | ROE 10.8%, OP YoY +33.2%, Δmargin +2.2pp | Same as common; pref discount plays |
| 3 | 096530.KQ | Seegene | 55.7 | 5 (Cycle, Quality, Smart Money Q, Smart Money E, Market) | ROE 4.8%, OP YoY +309.7%, Δmargin +11.3pp | Quality + smart money + cycle simultaneously |
| 4 | 028670.KS | Pan Ocean | 54.9 | 6 (Flow, RS80, Smart Money Q, Smart Money E, Market, Official) | F+QI +₩16.2B/5d, RS80 Focus Candidate, 2 DART catalysts | Smart money absorbing retail supply |
| 5 | 080220.KQ | Jeju Semiconductor | 51.4 | 5 (Cycle, Quality, Flow, Market, Official) | ROE 17.4%, OP YoY +274.4%, Δmargin +6.0pp | Fundamental confirmed on market surface |
| 6 | 252990.KQ | SEM CNS | 49.0 | 3 (Cycle, Quality, Market) | ROE 9.7%, OP YoY +182.7%, Δmargin +9.1pp | Fundamental candidate confirmed |
| 7 | 098120.KQ | Microcontact Sol. | 47.7 | 3 (Cycle, Quality, Market) | ROE 23.1%, OP YoY +73.5%, Δmargin +3.0pp | High-ROE, cycle re-pricing underway |
| 8 | 000660.KS | SK Hynix | 46.9 | 5 (Cycle, Quality, Flow, Market, Official) | ROE 35.6%, OP YoY +101.2%, Δmargin +13.1pp | Best margins in group; flow headwind |
| 9 | 402340.KS | SK Square | 44.5 | 4 (Consensus Up, Quality, Flow, Market) | ROE 31.9%, OP YoY +124.8%, consensus z +4.07 | Consensus revision driving re-price |
| 10 | 003350.KS | Korea Cosmetics Mfg | 39.4 | 5 (Cycle, Quality, Smart Money Q, Smart Money E, Market) | ROE 30.6%, OP YoY +24.2%, F+QI +₩4.8B/5d | Quality + smart money; watch DART risk |
Top 3 Deep Context
1. Seegene (096530.KQ) — Quality + Smart Money + Cycle: the full three-layer signal
Seegene is a molecular diagnostics company, best known globally for its COVID-era PCR kits. Post-pandemic, the narrative had collapsed — and that’s the re-rating setup. Operating profit is up 309.7% year-over-year, and operating margins have expanded by 11.3 percentage points, suggesting the cost structure has been reset while revenue is recovering. The smart money flow data sharpens the story: foreign and quality institutional investors absorbed ₩21.5 billion in net retail supply over the past five days (retail: −₩21.7B). That is exactly the flow pattern that precedes a market re-pricing event — insiders and professionals accumulating while retail distributes. A DART catalyst filing (dividend record date) dated Sep 28 adds a near-term event flag. What to verify next: whether the OP recovery is durable beyond base effects from the COVID trough, and whether the margin improvement reflects structural cost discipline or one-time items.
2. Samsung Electronics (005930.KS) — Maximum evidence, maximum tension
Samsung scores the highest composite family score (67.9) with seven independent evidence families: earnings cycle, PEAD drift, fundamental quality, investor flow, market activity, official filings, and price leadership. The earnings fundamentals are intact — ROE 10.7%, operating profit +33.2% YoY, margin expansion of +2.2pp, PEAD score confirms post-earnings drift signal. But the flow data creates a clear caution: foreigners and quality institutions net sold ₩1.829 trillion over five days, with individual investors absorbing the supply (+₩295.9 billion). This is a contested name. The re-rating thesis is structurally valid; the timing question is whether institutional distribution has run its course. It belongs in a watchlist alongside the flow data rather than as a conviction entry point today. DART filings (Oct 2: major shareholder changes) are routine.
3. Pan Ocean (028670.KS) — Smart money with a contract catalyst
Pan Ocean is one of Korea’s major dry bulk shipping companies. It scores on Smart Money Quality and Smart Money Earnings simultaneously — foreign and quality institutional investors net bought ₩16.2 billion over five days while retail sold ₩15.2 billion. The RS80 screen classifies it as a “Focus Candidate” with a pivot gap of +2.3% and 20-day supply/demand ratio running positive (+6.01%). Two DART catalyst filings in the past 10 days (single sales/supply contracts, Oct 1 and Sep 28) confirm operational news flow. The setup here is a business with improving earnings generating real smart-money accumulation backed by public contract announcements. What to verify: the specific contract values relative to Pan Ocean’s revenue base, and whether dry bulk rate trends support margin continuation.
This is a screener-based research queue, not investment advice. All screener signals require independent verification against current market conditions, financial statements, and official DART disclosures before drawing conclusions.