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On this page

  • 1. How New Tracks Emerge: Three Drivers
  • 2. The Theme-Investing Life Cycle: Four Phases
  • Concept phase → Fermentation phase → Delivery phase → Falsification phase
  • Signals for identifying each of the four phases
  • 3. "Selling the Story vs. Selling the Numbers"
  • Every theme must eventually pass the earnings test
  • Two tests of the earnings gate
  • Three endings
  • 4. New Track Research Checklist
  • 5. A-Share Theme-Pumping Patterns
  • The policy-signal-driven timeline
  • Telling how far this round has run
  • Risks unique to policy themes
  • 6. Beware "Fake Tracks"
  • Identification checklist for fake tracks
  • Three tests for fake tracks
  • 7. The Right Way for Individuals to Join New Tracks
  • Four principles
  • Three self-check questions before participating
  • Reference participation cadence (conservative)
  • 8. New Tracks vs. Old Industries: Allocating Position Size
  • ⚠️ Risk Warning

Chapter progress

19 · Industry Research

Before you understand a company, first understand the industry it operates in.

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20 · Classic Reading List (Reading Guide)→

The first 19 chapters of this knowledge base have already explained the "methods" thoroughly: how to read candlesticks,

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Lesson 05/5 / 5 lessons

05 · New Tracks & Theme Investing

Every era has its 'sexiest' track — from the internet and new energy to AI and robotics — and retail investors are most easily drawn in there

📖 ~10 min read
On this page▾
  • 1. How New Tracks Emerge: Three Drivers
  • 2. The Theme-Investing Life Cycle: Four Phases
  • Concept phase → Fermentation phase → Delivery phase → Falsification phase
  • Signals for identifying each of the four phases
  • 3. "Selling the Story vs. Selling the Numbers"
  • Every theme must eventually pass the earnings test
  • Two tests of the earnings gate
  • Three endings
  • 4. New Track Research Checklist
  • 5. A-Share Theme-Pumping Patterns
  • The policy-signal-driven timeline
  • Telling how far this round has run
  • Risks unique to policy themes
  • 6. Beware "Fake Tracks"
  • Identification checklist for fake tracks
  • Three tests for fake tracks
  • 7. The Right Way for Individuals to Join New Tracks
  • Four principles
  • Three self-check questions before participating
  • Reference participation cadence (conservative)
  • 8. New Tracks vs. Old Industries: Allocating Position Size
  • ⚠️ Risk Warning

Every era has its "sexiest" track — from the internet and new energy to AI and robotics — and nowhere draws retail investors in, or hurts them more. New tracks aren't off-limits; you just have to understand their life cycle: who is pumping it, how far along the pump is, when earnings will be delivered, and what the falsification signals are. This article covers the three drivers of new tracks, theme investing's four phases, earnings verification, A-share theme-pumping patterns, fake-track identification, and the safest way for individuals to participate.


1. How New Tracks Emerge: Three Drivers

DriverMechanismHistorical ExamplesTraits
Technology breakthroughUnderlying technology matures to usability (cost/performance crosses a threshold), spawning a new industryInternet, smartphones, large AI models, humanoid robotsStrongest cyclicality, longest delivery window (5-10 years); early prices lead earnings
Policy pushGovernment planning, subsidies, licenses, standards catalyze demand and supplyEV subsidies, solar PV, low-altitude economy, data elementsFast tempo, big force, but policy can reverse
Demand explosionNatural demand from rising incomes or lifestyle shiftsConsumption upgrades, pet economy, elder care, cross-border e-commerceMost solid, but typically the gentlest slope

💡 The dominant driver sets the delivery rhythm

In reality new tracks combine all three drivers: e.g., EVs = battery breakthroughs (technology) + purchase-tax exemptions and subsidies (policy) + consumption upgrade (demand). Identify the dominant driver first — it sets the delivery rhythm: for policy-driven tracks watch the policy calendar, for technology-driven ones watch product launches, for demand-driven ones watch penetration rate data.


2. The Theme-Investing Life Cycle: Four Phases

Concept phase → Fermentation phase → Delivery phase → Falsification phase

PhaseTraitsPrice BehaviorRisk
Concept phaseA concept just appears: prototypes exist but no scaled revenue; research notes and media coverage intensifyRapid rise, huge volatility; "leaders" rally on association, not earningsConcepts hard to verify; most die here
Fermentation phaseOrders, capacity, policy details start landing; some companies book "first revenue"Main advance; leadership rotates to companies with real progressGains pre-spend years of future earnings; chasing highs traps you
Delivery phaseHead companies' earnings genuinely scale; business models validatedDivergence: real deliverers keep running, failures drop outMissed expectations = Davis double-kill
Falsification phasePenetration disappoints, price wars erupt, policy turns; narrative collapsesBroad deep correction; leaders suffer both valuation and earnings compressionDeep entrapment; early concept stocks can fall 70%+

Signals for identifying each of the four phases

SignalConcept PhaseFermentation PhaseDelivery PhaseFalsification Phase
Leader revenueNear zeroFirst orders / small revenueRevenue scaling, profits turning positiveGrowth slowing or falling
Industry penetration< 2%2%-10%10%-30%Growth markedly slowing
PolicyPlans, pilotsDetails, subsidies landingPolicy normalizationSubsidy rollbacks / reversals
Market attentionResearch-note floodLimit-up waves, record turnoverInstitutional deep coverageNobody talks about it anymore
ValuationPrice-to-dream ratioDreams → price-to-salesP/S → P/EEven P/E can't hold

3. "Selling the Story vs. Selling the Numbers"

Every theme must eventually pass the earnings test

Phase Valuation AnchorWhat You Value WithLogic
Concept phaseNo anchor ("price-to-dream ratio")Storytelling: size × share × ticket — any number can be justified
Fermentation phasePrice-to-sales (P/S)Pricing "future revenue"
Delivery phasePrice-to-earnings (P/E, PEG)Pricing "real profit"

💡 The life cycle is fundamentally a rotation of valuation anchors

The cycle is essentially the anchor switching from "dreams" to "earnings": dream ratio → P/S → P/E. Each switch makes valuation "repay debt" — prices propped up by imagination early on must later be backfilled with hard cash profits.

Two tests of the earnings gate

  1. Revenue test: when does promised revenue actually land? If it never lands, the narrative is just a slide deck.
  2. Profit test: once revenue lands, does profit follow? "Revenue without profit" (subsidy-fueled, discount-driven volume) means the business model isn't validated.

Three endings

EndingBehaviorMajority?
Real trackEarnings keep delivering; after digesting valuation, prices make new highsFew (e.g., winners among smartphones and EVs)
Fake trackNo earnings throughout; price returns to originMost
Real track, fake playersThe industry is real but most companies fail to deliver (cleared out)Most common — the track survives; the company you chased dies

💀 Iron rule: the track survives; the company you chased dies

"Real track, fake players" is the most common ending — the industry lives on while your company gets eliminated. The sector is real, but most participants can't deliver and get cleared. So when joining a new track, separate the real track from the real players: usually the track itself survives, but the company you bet on was long gone from the market's shortlist.


4. New Track Research Checklist

Score each dimension 1-5 (total 25):

DimensionQuestion to AnswerFull-Score Look
Technology maturityIs the technology mass-producible/usable? Yield? Cost curve?In mass production; costs falling fast
Policy support strengthPlan, details, subsidy, or normalized policy? Any reversal risk?Details landed + long-term subsidies
Penetration & growthCurrent penetration? Introduction/takeoff/maturity stage?10%-30% takeoff zone
Profit model clarityWill customers pay? Does the margin math work? Profitable without subsidies?Profitable even ex-subsidy
Competitive landscapeWhere's the bottleneck? Who leads? Price war risk?Landscape converging to leaders

How to use the score:

  • Total > 20: worth deep research; add to tracking pool.
  • 15-20: observe; wait for one or two key variables to move (policy details, product launches).
  • < 15: file under "story shelf" — watch the show, keep your wallet closed.

5. A-Share Theme-Pumping Patterns

The policy-signal-driven timeline

The most common A-share theme script is "policy-driven":

text
Policy rumor/plan → Sector stirs (expectation speculation)
   ↓
Policy details land → Main advance (good news delivered; strongest leg)
   ↓
Orders/subsidies executed → Divergence (companies with earnings keep rising)
   ↓
Earnings verified/falsified → Reversion (theme ends or value repriced)
NodeTraitsCommon Retail Mistake
Rumor periodLimit-ups scattered; "any association rallies"; volume expandsChasing limit-ups with no logic you understand
Details landLeaders confirmed; broad sector rally; institutions enterBuying full size at the climax
Execution periodDivergence begins; true beneficiaries surfaceHolding "association stocks" to the death
Verification periodEarnings speak; deliverers trade on fundamentalsIgnoring earnings, holding by theme alone

Telling how far this round has run

  • Watch persistence of volume and gains: record turnover is normal during fermentation; shrinking volume + plunging count of limit-ups = sentiment ebbing.
  • Watch leader vs. followers: when the true-business leader flips to leading declines, the top is usually near; late-stage "junk-stock catch-up rallies" (cheap laggards surging randomly) are the classic closing signal.
  • Watch report density and social-media saturation: once "everyone is discussing it" becomes reality, the move is likely well past halfway.

Risks unique to policy themes

  • Good news delivered is bad news: the day details land often marks the stage high ("sell the news").
  • Policy can turn: subsidy rollbacks, tightened standards, industry crackdowns can arrive anytime (PV subsidy rollbacks, tutoring crackdowns taught that lesson).
  • Expectations always run ahead: markets price the anticipated policy; by the time it lands, the excess return has usually been taken.

6. Beware "Fake Tracks"

Identification checklist for fake tracks

TraitDescription
All deck, no productGrand launch-event narratives but no prototypes, no mass-production timeline
Earnings unverifiable for years"Turning profitable soon" every year; revenue always next quarter
Rebranding/buzzword-ridingCore business unchanged; AI/metaverse/compute buzzwords suddenly appear in announcements
Insiders selling at highsStock runs up, and insiders rush for the exit faster than anyone — they know the truth
Related-party orders self-certifyingBig orders come from related parties — a left-hand-to-right-hand loop
Profits propped by subsidies/one-offsAdjusted net profit negative for years; annual reports assembled from subsidies
Valuation powered by imaginationUnexplainable by any standard method; only "to the stars" narratives remain

Three tests for fake tracks

  1. Revenue test: delete the buzzword from the company name — does the business still stand? Can it explain where revenue comes from?
  2. Rival test: who is the most genuine player in the industry? If even they don't make money, why would this one?
  3. Time test: was this story told three years ago? If nothing delivered in three years, why believe it now?

A fake track usually isn't "nothing is happening" — it's "the thing is real but the company is fake," or "the thing is small but the story is huge." Never let an industry's authenticity vouchsafe an individual company's earnings.

💀 Iron rule: never let an industry's authenticity backstop one company's earnings

Fake tracks are rarely total fabrications — more often the trend is real and the company fake, or the trend small and the story enormous. Don't let a sexy industry certify a specific company's profits — however glamorous the sector, the company may be a mere concept-riding shell; undelivered earnings mean paper wealth only.


7. The Right Way for Individuals to Join New Tracks

Four principles

PrinciplePracticeRationale
Small positionCap new-track exposure at a fixed fraction of total capital (e.g., 10%-15%)New tracks carry the lowest certainty; buy survival with sizing
Only touch what you understandCan't read the technology? Then look at the chain's "shovel sellers" (see Article 02); understand no link at all → stay outIn a segment you don't grasp, no volatility is holdable
Exit before deliverySet an "exit on delivery" discipline: whether earnings deliver or falsify, exit as plannedTheme-investing profits accrue mostly before delivery; after delivery it's a different game
Never chase extended movesFor themes already up hugely, watch instead of joining; wait for pullbacks or new logicEntering after the main advance hands money to the early birds

✅ Takeaway: theme profits are mostly made before delivery

Exit before earnings land. Theme-investing profits accrue mostly prior to delivery; afterward it's another game entirely — when a company's story finally gets "validated," that is precisely a selling point, not a buying one. So set the discipline: deliver or falsify either way, exit per plan.

Three self-check questions before participating

  1. If this track falsifies within three years, can I absorb losing my entire stake? (No → don't participate)
  2. Can I state where this company's revenue comes from, who pays, and how it profits? (No → don't participate)
  3. Is my reason for buying "everyone else is buying" or "I verified the data"? (The former → don't participate)

Reference participation cadence (conservative)

text
Concept phase: do not participate; only track (log key companies, research notes, policies)
   ↓
Fermentation phase: join with a small position in the leader; set a stop-loss line (e.g., -15%)
   ↓
Delivery phase: hold or take profit based on how earnings actually deliver
   ↓
Falsification phase: exit unconditionally — no lingering, no bottom-fishing "new lows in a new track"

8. New Tracks vs. Old Industries: Allocating Position Size

BucketSuggested AllocationLogic
Old-industry leaders (core)60%-70%High certainty with moats (see Article 03) — the portfolio's ballast
Growth-industry leaders (satellite)20%-30%The sweet penetration zone of 10%-30% (see Article 04); medium certainty
New tracks/themes (probe)≤ 10%Maximum elasticity, minimum certainty; total loss wouldn't dent the whole

💡 Position structure matters more than stock-picking skill

Structure beats selection: put 90% of your money where you "understand the business and see the earnings," and spend ≤10% chasing dreams — the only formula by which retail investors survive new tracks.


⚠️ Risk Warning

⚠️ Risk Warning

New tracks and theme investing rank among the highest loss-probability areas in the entire market — statistically, most themes return to their starting point during falsification, and most "concept stocks" never see their earnings delivered; policy themes can collapse overnight on a policy reversal (full precedents exist historically), and retail investors who chase highs are usually holding the last baton. Participation is permissible only if all conditions hold simultaneously: small position, understood logic, stop losses set, unconditional exit on earnings falsification. This is educational methodology content, not investment advice; if you treat new tracks as lottery tickets, follow lottery-sized rules.

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Related lessons

  • →01 · Industry Research Methodology
  • →02 · Value Chain Analysis
  • →03 · Competitive Landscape & Economic Moats
  • →04 · Sector Prosperity & Cycles

Next chapter

20 · Classic Reading List (Reading Guide)

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