The Narrative Cycle

Introduction: markets run on stories

A market narrative is not merely a topic such as “energy” or “housing”. A topic names a subject. A collective economic narrative is a socially shared, sense-making story that explains an economic phenomenon and suggests what participants should do about it. It spreads through conversation and media, shows up in trading behaviour, and gives people a usable map of the future ^{1, 2}.

Narrative economics studies this mechanism: prices and investment flows can be shaped by stories circulating among market participants, sometimes ahead of the fundamentals ¹. The topics the business press gives its attention to track economic activity and help to forecast it ¹⁷. The story becomes part of the demand curve, because beliefs change participation and the willingness to buy. Price moves are then not only reactions to data but self-reinforcing arguments: the stronger the story, the more it reshapes the crowd that believes it, and therefore the trade. Media reach, social virality and the feedback between story and price are not details; they are the engine that moves a narrative from rumour to trend.

A narrative has a life cycle. The seven stages used here follow the narrative cycle that the macro trader Brent Donnelly sets out in his book Alpha Trader: themes start under the radar, gain momentum and end either in an impulsive climax or in a slow, grinding fade ¹⁸. A weak idea sits under the radar, finds a catalyst, becomes a primary trend, cracks under doubt, surges in a final wave of enthusiasm, peaks and turns, and finally fades or seeds the next story. Each stage changes who is talking, how price behaves and who the marginal buyer is. The sequence is old and well documented: the classic history of financial manias describes the same arc, from a displacement that opens a new opportunity, through boom and euphoria, to distress and revulsion ¹¹. Bearish narratives invert the cycle: the same stages map panic-driven selling, from quiet fear to capitulation and exhaustion.

The reflexivity engine

Reflexivity is the engine behind the cycle: price is not a passive signal, and the story investors tell is not passive commentary. Participants’ views shape the situation they take part in, and the situation shapes their views ³. A rising price makes a narrative seem more plausible, and a stronger narrative draws buyers who push the price higher. The loop can carry an asset from a niche conviction to a consensus trend. It is also a destabiliser: when price becomes the main proof of the story, the relationship turns fragile. That is why the loop matters most at stages 1, 3 and 6.

Formal work makes this concrete. Agent-based models that embed opinion dynamics in simulated traders show that small shifts in belief can produce price runs from within the market, even when fundamentals are weak ⁴. Herding models show how imitation synchronises traders and amplifies trends until liquidity or disagreement breaks the pattern ⁵. Classic finance theory shows the same loop: when some investors buy because prices have risen, informed speculators can rationally buy ahead of them and push prices further from value ¹³. At the level of the whole market, sentiment measures such as new-issue activity, turnover and retail participation track waves of optimism that later help to explain returns ⁶.

The practical consequence: do not blend story and price into one indicator. Track them as two series. Narrative momentum is the change in a story’s salience, media spread and causal language; price momentum is the change in returns, gaps, volatility and buying or selling pressure. The narrative can lead, lag or break away from the price path, and each pattern means something different.

Early in the cycle narrative momentum is sparse but rising and price is choppy. In stages 2 and 3 the media amplify the story and the marginal buyer shifts from specialists to broader fund flows. In stage 4 the two series can separate: price drops while the narrative holds, which creates debate and a shakeout. In stage 5 mainstream attention explodes and price extends on thinner fundamentals. In stage 6 narrative momentum often rolls over first, while price still overshoots before the engine stalls.

Stages 1 and 2: Under the Radar and Momentum Builds

A narrative begins as a small story, not a consensus thesis. In stage 1 it lives in niche communities, specialist research and fund letters, where contrarian positioning is rewarded but proof is thin. Rallies fade, pullbacks are deep and volume stays flat. The main cost is impatience: early holders are shaken out by those who want evidence now.

Stage 1 has clear markers. Who talks? A small, specialised audience with little mainstream coverage. What does price do? Ranges, failed breakouts, low liquidity. Who is the marginal buyer? A contrarian specialist, not a momentum fund or the retail crowd. Artificial intelligence in 2022 is an example: discussed mainly as a research, software and semiconductor theme, technically plausible but unproven, and traded with repeated reversals rather than a clean trend.

Stage 2 starts when a catalyst clears the fog. The story becomes easier to test, to repeat and to sell. In the AI case the catalysts ran from the launch of consumer chat assistants to visible data-centre spending. Financial media adopted familiar labels such as “AI winners” and “AI infrastructure”; analysts followed with initiations, upgrades and higher targets; the leading stocks gapped higher. Gaps are not ordinary drift: they show that the marginal buyer has changed and that sellers are catching up too late.

This is not a mechanical checklist. Narratives can stay quiet for months and then break out within weeks. But the move from niche debate to media-visible momentum is where an idea becomes a tradeable theme, and it sets up stage 3. Theory explains the shape: because news spreads gradually across investors, prices first underreact, and trend-chasing then carries them into overreaction ¹².

Stages 3 and 4: Primary Trend and First Cracks

By stage 3 the narrative is no longer an argument; it is the market’s frame of reference. Wide coverage, portfolio adoption and the habit of buying pullbacks make the theme consensus. Here lies the trap: well known is not the same as exhausted. A narrative can stay powerful simply because it has become the default story through which investors read new data. Once narratives become shared mental models, they coordinate buying and selling even while the underlying facts still hold ². Media framing reinforces the loop: articles do not only report a theme, they package events into causal chains that make one reading easier to act on ⁷. Media tone has a measurable price effect: pessimism in a daily market column of the Wall Street Journal predicts falling prices followed by a reversal ¹⁴.

Stage 4 begins when the first meaningful pullback forces the market to choose between two readings. Crowding rises, the tone of coverage becomes balanced and profit-taking appears. The question is not how deep the drop is, but whether the core premise survives the data. A healthy shakeout happens when price falls and sentiment cools while the story’s central causal claim still matches the evidence. A fatal crack appears when the data contradict the premise: revenue no longer supports the growth story, savings disappear, regulatory risk materialises. Then the story is not being corrected; it is being reclassified.

The three lenses decide. In a healthy shakeout the audience broadens, price holds support or retests a prior breakout, and the marginal buyer is still an investor seeking quality within a valid theme. In a fatal crack commentary shifts from “pullback” to “crack in the story”, price loses the level that justified the thesis, and the marginal buyer becomes a last-conviction holder rather than a new accumulator. The structure of news coverage helps to detect the turn ⁸, and so do causal micro-narratives: when sentence-level cause and effect changes from “demand drives price” to “inflation erodes margins”, the story is no longer amplified, it is revised ⁹.

The lesson for stages 3 and 4: the first crack is a test, not a sell signal. If the premise survives, the pullback resets the trend. If it fails, a more dangerous phase begins: the narrative is familiar, but its facts no longer confirm it.

Stages 5 and 6: Final Hype Wave and Peak and Turn

In the final hype wave a story becomes a social identity. Retail investors arrive with urgency, not valuation; mainstream media stop asking whether the asset is justified and start asking how far it can run. Price and narrative amplify each other: every new high becomes proof, every headline a demand shock ^{2, 4, 15}. The marginal buyer is no longer buying for expected cash flows but because missing the move feels riskier than owning it.

The turn is hard to see because it hides inside strength. Early warning signs appear while price still makes new highs: heavy volume on bad news, repeated failed breakouts, a widening gap between headline enthusiasm and order flow, and informed sellers distributing into retail demand. After the first cracks many participants already believe the thesis, so every new high is read as validation rather than warning.

Detecting the turn takes a view that runs against the dominant narrative. Watch who is buying: if the marginal buyer is retail chasing headlines and the marginal seller is informed money, the balance of risk has inverted even if the chart looks strong. Bubble models that combine price patterns, sentiment and hype measures formalise what experienced investors notice: extreme overpricing and distribution often coexist before the break ¹⁰. Across decades of industry data, a sharp price run-up raises the probability of a crash, and rising volatility, new share issuance and an accelerating price help to tell which run-ups end in one ¹⁶. Text analysis adds a layer: when media language shifts from explaining to superlatives, the causal narratives become thinner, more repetitive and more emotional ⁹, a sign that the story is running out of new believers.

The highest-quality exit signal often arrives before the peak, when new highs still exist but the flow beneath them has changed. When the market is no longer debating the story but performing it, the turn is under way.

Stage 7: The End, and the rebirth

Stage 7 is where the story stops sounding plausible. The asset that explained itself through confidence and adoption now needs excuses: delays are “temporary”, weak data are “one-off”, heavy selling is “positioning”. Credibility collapses when insiders stop explaining and start selling, and the marginal buyer is no longer a believer but an anxious latecomer. Coverage goes quiet, not because the news has improved, but because the narrative no longer has a clear protagonist ⁸.

Price usually falls further than the story justifies, sentiment turns ugly and even careful investors admit they were late. Yet the bottom is also where contrarian opportunity becomes visible. When selling is aggressive and attention low, the last seller is often forced, not convinced. Dead narratives do not disappear; they mutate and return ¹. “Growth” becomes “resilience”, “disruption” becomes “cash flow”, “adoption” becomes “margin repair”. The next cycle often starts in the debris of the old one, with a smaller and quieter set of believers.

The bearish mirror is the same cycle inverted. A short thesis also needs under-the-radar scepticism, momentum, consensus, cracks, a final rush, distribution and an end. Shorts fail when they become crowded and complacent, and a new cycle begins when the old bearish story is exhausted and a new one is only faintly visible.

Practical playbook: locating yourself on the cycle

The fastest way to lose an edge is to mistake one stage for another. Before sizing a position, ask three questions. Who is talking: niche forums, specialist research, financial media or mainstream outlets? What is price doing: choppy, gapping, trending, cracking, making erratic highs or fading? Who is the marginal buyer: a specialist, an early allocator, a trend follower, late retail or a forced buyer?

Table 1. The seven stages through the three lenses. A general illustration, not a recommendation.

Narratives travel from niche to financial to mainstream media, and sentiment along the way is measurable. Niche discussion tests credibility, financial coverage widens the audience, and mainstream coverage often marks exhaustion. Positioning should be asymmetric: small risk early, larger only after confirmation, defensive at the extremes. The three lenses are most useful at the transitions, above all under the radar, at the first cracks and at the turn.

Common pitfalls corrupt the diagnosis. Impatience pushes entries in stage 1 before the narrative has cleared the fog, or chases stage 5 after the mainstream has priced it. Confirmation bias makes every headline look like evidence for the preferred stage. Anchoring to an old valuation or a previous high hides the moment a narrative mutates. Write the three answers down every week; if two lenses point to different stages, assume you are misreading.

Modern tools reduce the vagueness. Sentiment indices track search volume, social mentions, fear and greed and the breadth of coverage. Language models can extract causal micro-narratives from news and classify whether a story is cause, effect or denial ⁹; event-centric methods show how media package a topic into a persuasive story ⁷; agent-based platforms test how opinion and price feed back ⁴. Narrative tracking should be paired with price behaviour, not replace it.

Narratives do not merely describe prices; prices change who believes the narrative. A narrative can be true and still be a bad reason to buy late. The task is not to predict the story but to locate yourself on the cycle, keep your position consistent with the evidence, and update when the marginal buyer changes.