"Catch the conditions for a top faster than anyone, and first." A field monitoring dashboard cross-checked against historical cycles, leading indicators, and credible research.
SK Hynix is living through its strongest quarter ever. HBM is effectively sold out, and conventional DRAM contract prices jump double digits every quarter. Yet the most dangerous moment for a memory investor has always arrived when the numbers look their best, because the stock turns before the fundamentals do.
This radar is a tool for catching that turn before the crowd. It puts the common script of four cycles across forty-nine years, the eight leading indicators worth watching daily and weekly, and a map that splits "when, why, and how far" the stock falls, all on a single screen. The starting premise is simple: if you wait for the earnings release, you are already late.
In all four historical cycles (1995, 2010, 2014, 2018), the five leading indicators turned negative just before the peak. Today, five of the eight are still green, a combination not seen ahead of any prior peak. The key, though, is this: "strongest fundamentals now" does not equal "the stock is safe."
The mechanism running from "ROI doubt" to "peak-out." Here is the current status of each stage.
Depreciation > profit. The five Big Tech names plan ~$2T in AI assets by 2030, implying ~$400B in annual depreciation (above their combined 2025 profit). Amazon FCF is projected negative for 2026.
OpenAI's IPO pushed to 2027 (ROI and market-volatility reasons). Despite a Q4'25 earnings beat, the absence of estimate upgrades signals a perceived profitability ceiling. AI and chip stocks fell together.
None so far. HBM is sold out for 2026, with new 16-Hi HBM4 orders running into Q4'26. Nvidia demand is, if anything, accelerating.
The opposite. HBM4 is priced 50%+ above HBM3E (mid-$500 per stack). Q1'26 DRAM contract prices rose +90–95% QoQ (a record). Even Apple gave up resisting the pass-through.
SK Hynix's conventional DRAM operating margin is in the high-70s% (an all-time high). Most institutions forecast the earnings peak for Q4 2027.
Memory has repeated the same script for 49 years. These are the common features of a peak-out.
| Cycle | Up-leg | Price collapse | Stock drawdown |
|---|---|---|---|
| 1995 (1st supercycle) | ~2 yrs | -51% → -65% | -60 to -80% |
| 2018 (pre-HBM supercycle) | ~30 months | margin 59% → 27% | Micron -56% |
| 2021–22 (COVID) | ~14 months | SK '23 net margin -28% | Micron -50% |
| 2024– (AI/now) | ~30 months+ | none yet | none yet |
Three recurring lessons
① Capex is announced 12–18 months into the up-leg, and that capacity creates a glut 2–3 years later that ends the cycle. (In 1995, 50 fabs announced → prices collapsed 60%+.)
② The stock turns about two quarters before the fundamental peak. The market prices the turn in before it shows up in the numbers.
③ "This time is different" is dangerous, yet AI is price-insensitive demand, so the argument that the structure differs from past (consumer-led) cycles also holds. That is why we split it into scenarios.
Watch just these, daily and weekly. The moment three or more turn red is the real peak alarm.
When, why, and how far it falls. Each scenario's trigger and expected drawdown. Probabilities are a synthesized judgment as of now.
New fabs (Micron Idaho and others) come online mid-2027 and supply gradually catches up. Hyperscalers digest the inventory they bought, and demand normalizes. Prices ease gently instead of crashing.
Big Tech ROI doubt crosses a threshold. After the OpenAI delay come further blows (a depreciation shock, AI-revenue disappointment, asset write-downs). Hyperscalers abruptly cut capex guidance → orders shrink → HBM pricing power reverses.
The three makers race to expand aggressively in 2026–27 (especially conventional DRAM) → new fabs come online together in 2027–28 just as AI demand slows. The 1995 and 2018 script plays out: glut → price crash.
AI inference demand offsets the slowdown in training. Servers become "memory machines" and the HBM TAM hits $100B by 2028. Price-insensitive AI demand structurally breaks the cycle, and new supply still cannot keep up.
Strengths and weaknesses unique to SK Hynix, apart from the whole market.
Strengths
Dual-generation HBM3E and HBM4 supply at once, packaging partnership with TSMC, primary-supplier status to Nvidia. Cheongju M15X fab online May 2026. Record margins.
Weaknesses / risks
① Samsung's HBM4 catch-up — Nvidia brought Samsung to the table a week after the SK deal. If Samsung supplies early in Q2 2026, SK's H1 HBM4 near-monopoly breaks → weaker pricing power.
② China's CXMT — racing to build HBM3E capability; export-control wildcard.
③ Nvidia concentration — single-customer reliance is a double-edged sword.
Check at these cadences and you will know before almost anyone.
Key tracking keywords
DRAM spot DXI supplier inventory weeks HBM4 contract price hyperscaler capex guidance AI capex ROI depreciation write-down double ordering Samsung HBM4 Nvidia share book-to-bill