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Use a Bayesian intrinsic-growth valuation model to evaluate whether a company's market value…
Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications. Use when the user provides a ticker/company or asks about 朱格拉周期, Juglar cycle, capex
$ npx -y skills add haskaomni/serenity-skill --skill juglar-cycle-stock-stage --agent claude-codeHow it fires
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Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications. Use when the user provides a ticker/company or asks about 朱格拉周期, Juglar cycle, capex
name: juglar-cycle-stock-stage description: Classify a listed company and its core industry into Juglar fixed-asset investment cycle stages with probabilities, evidence, counter-evidence, migration signals, and investment implications. Use when the user provides a ticker/company or asks about 朱格拉周期, Juglar cycle, capex cycle, fixed-asset investment cycle, industry cycle phase, recovery, expansion, overheating, downturn, clearing, inventory cycle, capacity cycle, ASP, or supply-demand cycle positioning.
Judge the company's Juglar cycle position from the industry fixed-asset investment cycle first, then the company's own operating phase second. Do not classify from share price, PE, or narrative alone.
Use the framework to answer:
Where are the company and its core industry in the fixed-asset investment cycle, and what evidence would move the judgment to the next phase?
Treat outputs as research analysis, not personalized investment advice. For latest/current scoring, verify market price, filings, earnings, guidance, industry supply-demand, capex plans, inventory, ASP, backlog, and estimate revisions from current sources before making time-sensitive claims.
Required input: a ticker or clearly identifiable listed company.
Optional user inputs:
If the ticker is ambiguous, identify the most likely listed company and state the assumption. Ask only when multiple candidates are genuinely plausible and the wrong choice would change the analysis.
Collect and separate industry-cycle evidence from company-specific evidence:
For U.S.-listed companies, SEC filings can anchor reported revenue, margins, capex, inventory, backlog/order language, capacity plans, customer concentration, and risk factors. Use current market and industry sources for ASP, consensus estimates, stock trend, and competitive capex.
| Stage | Phase | Typical Signal | | --- | --- | --- | | Stage 1 | 复苏期 | Demand improves, prices stop falling, inventory declines, margins repair, capex has not yet surged. | | Stage 2 | 扩张期 | Orders are strong, revenue/profit accelerate, utilization rises, capex starts increasing. | | Stage 3 | 过热期 | Prices and margins are high, optimism is broad, companies expand aggressively, future supply risk accumulates. | | Stage 4 | 衰退期 | Demand growth slows, prices soften, inventory rises, margins fall, capex begins to be cut. | | Stage 5 | 出清期 | Industry losses or weak profits force capex cuts, destocking, shutdowns, consolidation, layoffs, or restructuring. |
Always distinguish:
These can diverge. Example: industry Stage 3, company Stage 2, stock already priced as Stage 3.
Score each dimension from `-2` to `+2` and explain the evidence.
| Dimension | +2 | +1 | 0 | -1 | -2 | | --- | --- | --- | --- | --- | --- | | Demand cycle | demand surge | demand improving | stable | slowing | sharply declining | | Price / ASP cycle | sustained price rises | prices bottoming/rebounding | stable | beginning to fall | rapid decline | | Margin cycle | margins expanding fast | margins repairing | stable | pressured | sharply worse or loss-making | | Capex cycle | broad aggressive expansion | capex revised up / expansion starts | stable | slowing | sharply cut | | Inventory cycle | extremely low / tight supply | declining | normal | rising | high / channel clogged | | Capacity-release pressure | little new supply / bottleneck | manageable new supply | balanced | clear new supply in 6-18 months | concentrated supply release / overcapacity risk | | Customer behavior | rush orders, LTAs, accepts price hikes | restocking | normal purchasing | delays or price pressure | order cuts or cancellations | | Capital-market reaction | estimates rising and trend healthy | valuation repair | divided | price weakens ahead of fundamentals | derating and estimate cuts |
Do not mechanically map the total score to a stage. Use the four core variables first: margin, capex, inventory, and price.
Use these patterns as anchors:
| Stage | Pattern | | --- | --- | | Stage 1 复苏期 | demand +1, price +1, margin +1, capex 0/+1, inventory +1, market starts repairing | | Stage 2 扩张期 | demand +2, price +1/+2, margin +2, capex +1, inventory +1/+2, estimates rising | | Stage 3 过热期 | demand +2, price +2, margin +2, capex +2, inventory still low, future supply pressure rising, valuation/story very optimistic | | Stage 4 衰退期 | demand -1/-2, price -1/-2, margin -1/-2, inventory -1/-2, capex rolls over, customers pressure prices or cut orders | | Stage 5 出清期 | demand weak, prices low, margins poor or loss-making, inventory begins falling, capex -2, industry consolidation or shutdowns appear |
Output stage probabilities across all five stages
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