Senior Trader's Account: How to Trade the Market's Wrong Expectations?
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Senior Trader's Account: How to Trade the Market's Wrong Expectations?
Don't just look at the data itself; look at how the market expects the data to transmit, and then check if the transmission mechanism is still effective.
Navigating Web3 tides with focused insightsAuthor: Benjamin Usachi
TechFlow Editor's Note: This is a textbook "wrong expectation" trade. The market saw weak CPI and thought all was well, the Nasdaq hit 30060, but the 30-year real rate broke a 20-year high that night—short-end relaxed, long-end refused, tech stocks couldn't borrow cheap long-term funds, valuation cap locked. Traders used five batches of short orders to capture the drop from 30060 to 28768, the core methodology is: don't just look at the data itself, look at how the market expects the data to transmit, then see if the transmission mechanism is still valid.
Case File
- Case Number: 002
- Trade Prototype: Transmission Expectation Error / Old Reaction Function Failure
- Market State: Duration pressure tightens again at high levels; short-end relaxes, long-end refuses; credit stable; non-liquidity crisis
- Market Implied Causal Chain: Weak CPI → Policy Relaxation → Long-term Fund Price Decline → NQ Valuation Expansion
- Break Point: Between policy path and long-term fund price
- Veto Variables: 10-year and 30-year real rates
- Cross-sectional Confirmation: NQ relative to ES turned weak after being too strong; ASML, TSM prices fell after good earnings
- Cleanest Expression: Short NQ, rather than indiscriminately shorting ES
- Entry Structure: Fast variables repair price, slow variables refuse to repair pricing conditions
- Falsification Conditions: Long-end real rates continue to decline; USD and funding environment relax simultaneously; credit stable and breadth diffuses; NQ regains relative strength
- Realization Conditions: Wrong expectation has been corrected, while credit has not deteriorated enough to support comprehensive risk-off
- Execution Flaws: External opinions did not change evidence but interfered with confirmation positions; target adjustments need to be defined as new decisions
- Case Status: Phased archiving, final statistics to be supplemented after remaining positions are closed
- One-sentence Experience: Trade wrong expectations, wait for market price to conflict with its own implied causal chain.
The trade that best demonstrated my strategy recently was shorting NQ starting from early morning Tuesday to Wednesday.
First batch of short orders entered at 30060. Second batch at 30040, expected price to reach 29700. Within two hours price went to around 29880, then the market rebounded with PPI data, all the way to 29990. At this point, influenced by some opinions, my conviction started to waver, afraid I bet too big and would get buried, so closed the 30040 short at 29992 for profit. Observed for ten minutes, confirmed downward trend, re-entered short at 29950, part NQ long hold, part MNQ for batched profit taking, simultaneously set MNQ auto profit take at 29700. Wednesday night changed view, thought this wave could drop to around 29000, so placed new MNQ short probe position at 29000. Total five batches of short orders, earliest 30060 batch not profit taken yet, 30040 failed due to wavering conviction, 29950 NQ manually closed at 28500, 29950 MNQ auto profit taken at 29700, 29000 new MNQ short not profit taken yet. Friday NQ closed at 28768.25.
This trade might look very messy in the eyes of many experts, back and forth, but for me it is obvious progress. First lies in timing. In the past I only looked at direction, timing and points were very poor, I comforted myself saying play to strengths and avoid weaknesses. But this wave from entry time, entry point and profit point, was more efficient and less risky than before, this is progress. Secondly, because doing typical "valuation revision" and "wrong expectation", so the market gave me sufficient time window, gradually verify my macro framework, verify indicators, condition assumptions are all correct, so price moved towards my prediction period.
Looking back, as I said, this trade was a very typical expectation error. Some people in the market had benign expectations for new data, price started to rise, but the market's true pricers did not approve this expectation, so finally price big dive. I do this review and share because I feel this trade can be decomposed into typical expectation trade strategy, and can be reused, so archiving here.
What is Market Wrong Expectation?
What we usually see most often, or discuss most often, is data expectation, also including event expectation. Non-farm payrolls how much, CPI how much, earnings EPS how much. Or some time Fed tone soft or hard, US and Iran whether temporarily cease fire. After data or event result announced, actual value and consensus value between may produce a difference, a surprise. Many trades revolve around this layer, so will see many voices arguing, whether will cut rates, whether will cut AI spending, to seek a reversal. Doing actually the most introductory but also hardest piece.
But what truly determines price is the latter two layers of expectation.
Second layer, I named transmission expectation. After data appears, how will market change policy path, real rates, USD, credit and risk premium? Weak CPI whether only affects 2-year, or enough to suppress 10-year, 30-year long-term fund price? After a company beats, whether only raise current quarter profit, or can improve future cash flow and capital return rate? Data will have impact on market's different sides, some parts benign, some parts malignant, some places might not have any fluctuation. So we also will see many what good earnings but fall, weak data but rise, because transmission mechanism will affect different various faces.
Third layer is asset expectation. After first two layers change, how much price should market give a certain asset? Is raise valuation multiple, or only raise earnings expectation? Is buy NQ, or buy ES? Is buy long bonds, or buy gold?
So-called expectation error, either is first layer directly estimated wrong, for example last year all thought would cut rates all the way, but suddenly rate cut stopped. Or, is what makes people carry into most the second layer: an expectation was not fully interpreted, market did not reasonably judge this new event or new data will in market's different parts how transmit, directly skipped second layer, trying to price third layer. Thus market produced a wrong price completely unsuitable with actual situation. Arbitrage time arrived.
Or in one word: Traders correctly understood a fact, but mistakenly thought old transmission mechanism still valid.
In last week's weekly report, I wrote to observe this week's two important data: Tuesday's CPI will determine market's pricing for rate hike trade, also will determine whether rates possible to relax from here on, changing the trend of fund prices breaking 20-year highs consecutively 4-5 times two weeks ago; Thursday's retail data then helps explain market's revenue side and sentiment side, see consumers after passing through previous period price shock, whether have ability continue maintain consumption strength, provide cash flow for companies.
After CPI data came out, sure enough rates plummeted, price rose, Nasdaq led rise. Market breathed a sigh of relief, I also breathed a sigh of relief. But for me, observation window did not end here, because I deeply know market still needs to actually walk through transmission layer, temporary price change cannot determine final direction. Sure enough, that night, just before my talk show program started more than an hour, 30-year real rate rebounded, once again broke 20-year high, I knew shorting timing approximately came. Morning's weak CPI made market produce wrong expectation, thought weak data will fully support market, but actually market's narrative already changed, transmission mechanism also changed, so that day's comprehensive rise was a wrong pricing.
This indicator's rebound has two points of meaning. First, under a lower than expected CPI data, market generally will trade fund's comprehensive relaxation, rates should all line decline. But that night we saw is short-end rates relax, far-end duration rates, 10-year 20-year 30-year, all are rebounding. This proves market's reaction to weak CPI, only relaxed relatively recent rate hike expectation, but for duration rates, that is defining fund price and future risk this part, completely did not relax. This confirms my past one month's main line: because written various macro factors influence, duration fund price is just high, just won't come down. Second point meaning lies in shorting target and points. Duration fund price still high, most negatively affected is tech stocks, because tech companies need largely borrow 10-year 20-year 30-year later money. If weak CPI brings is short-end rates fall but long-end rates still high, then Nasdaq will bear the brunt of backlash; conversely, S&P because companies multi-sector broad, not all companies need largely borrow money, so short-end rates fall for S&P instead is a support, and long-end rise will not same level kill to S&P. These two points conclusions I in that night's program all real-time said, one is say Nasdaq led rise, rose too much, I will be careful; second is about new market mechanism, good news no longer will like past一样 (same) to tech sector have that good support effect.
Regarding point selection, there are two verification layers. NQ's previous round previous high was at 30060. Because duration rates again broke previous high, equivalent to entire market's valuation again contracting, so I judge unless numerator side appears good news, otherwise price should not easily break previous high's 30060. So I at 30060 and 30040 respectively placed two batches orders, latter is afraid limit order not hit.
Second verification layer, lies in that night ASML's earnings. Good earnings, but fall, is a significant numerator side press over denominator side performance, that is although earnings expectation strong, but in price formula, high rates good earnings hard pulled down. This numerator side secondary confirmation made me more assured bold shorting.
In this actually still has a little bit funny component. According to reason, I from trade narrative layer, transmission mechanism layer, indicator trend layer and earnings performance layer all already passed confirmation, already have big win probability. But I inexplicably produced a direct feeling, that is, PPI data impossible again let stock price rise. First, yesterday's weak CPI, basically already priced a part of weak PPI, if even like this let long-end rates new high, then weak PPI's actual confirmation won't bring actual good news. If price short line rise, instead is best shorting timing. Secondly, "Saints are not defeated by the same move twice." Market already because data let retail investors earned one day money, how possible let retail investors again in second day use same way earn once money?
So went to do article opening that wave operation. Afterward, TSM's earnings after fall more made me confirm downward trend, thinking also same reason, so I moved profit take point down, moved big order profit take point from 29700 first down to 29000. This number's selection then comes from past one plus month to rates and Nasdaq observation, will rates high point correspond few days inside Nasdaq low point, observe absolute position, change slope, finally decide first look 29000.
Can This Strategy Be Migrated to Next Market Situation?
Probably can. I summarized five points can follow methods and thinking.
I wrote in past, I on numerator side and denominator side's relative relationship ate loss, caused missing out. That is, denominator side's tightening, to what extent delay or hinder numerator side's growth, so that overall price can't go up? A relative high position numerator side in price has how much "thickness"? Numerator side want rise to what degree, can this valuation upper limit break through? In final price behavior, these two play a what relative change relationship?
First, absolute position determines valuation upper limit, change slope determines short-term impact, relative position determines who has problem first. Absolute position and change speed need separate look. A very high but stable rate, market can gradually adapt; an absolute level not necessarily extreme, but rise speed very fast rate, instead easier create short-term impact. Former determines long-term constraint, latter determines current whether need fast re-pricing.
At my shorting moment, fund price's absolute position already locked valuation upper limit, slope again very steep. At same time, NQ close to 30k points, market still trading AI earnings strong, risk preference recover, and weak CPI brought valuation repair. This formed a very asymmetric price, downward risk very big, very encourage profit take and shorting.
Secondly, if expectation will have fast kill down, one side look previous high previous low, one side look position structure.
Trade wrong expectation, but not encourage discover market wrong after immediately rush in. Wrong expectation can maintain long time. Market can than you imagine more optimistic, can also continue rely on position, options and sentiment towards one direction go. If just think market wrong, but no good price, no catalyst, also no clear falsification conditions, then you might just be early correct, then first by market beat dead.
Still return to fast variables and slow variables. Best entry point, is price repaired, pricing conditions did not repair. Or say, fast variables put price re-push back high position, but slow variables constraint did not change.
Return to place short order moment. At that time longs want continue establish, need two conditions simultaneously satisfy: First, AI earnings and growth expectation continue upward; Second, long-term fund price cannot continue tighten. First condition at that time had negative news, second condition did not exist. And shorts no need prove AI is bubble, also no need prove US economy recession. Shorts only need one of conditions fail: long-end real rates continue stay at high position, or continue rise.
How to do transmission layer and pricing layer wrong expectation? My answer and many big shorts answer same, go judge expectation whether all build on a key assumption, then look this key assumption whether correct be priced.
First, write out market current implied causal chain. Don't just say market look long or market look short, but must clear: market thinks A happen after, why will cause B, B again why will cause C. This time's chain is: Weak CPI → Policy Relaxation → Long-term Fund Price Decline → Tech Valuation Expansion.
Second, find this chain inside have veto power variables. Every narrative has a final must confirm market. For long duration tech stocks, long-term real rates and required return rate only have veto power.
Third, observe this variable whether refuse confirm. Market between fight not necessarily opportunity, because different assets might trading different themes. Only when certain asset's rise must rely on this variable, and this variable clearly refuse cooperate, contradiction can trade.
Fourth, wait price still according to old script run. Wrong expectation already fully corrected after, then correct also no profit. Best opportunity, is underlying variables already change, price because inertia, fast money and old reaction function, still use past script.
Fifth, choose to this error most sensitive, impurities least expression. Don't because macro look short fund price, just indiscriminate short all assets. Want find which one asset most rely on that already invalid causal chain.
Sixth, ahead define two exit conditions. One kind is falsification: veto variables re-confirmed market narrative, explain self wrong; other kind is realization: wrong expectation already corrected, price completed should have return. Many people only will at wrong time exit, but won't at logic already realized time exit.
In these six steps, hardest is distinguish "market really wrong", or "market just temporarily not according to I want way run".
Alpha Not Necessarily Comes from Information Gap, May Also Come from Reaction Function Gap
Market's information more and more sufficient. CPI, earnings, position, fund flow, all people almost simultaneously see. Independent investors hard long term rely than large institutions earlier know a fact to get advantage.
But all people simultaneously see same fact, not represent all people will use correct way understand it.
Market will form habits. Bad data equals rate cut, rate cut equals tech rise; Gold equals safe haven; Long bonds equals stock hedge; AI demand strong equals all AI assets should rise. These causal chains once long term valid, will become auto reaction. And macro state change after, data no change, assets no change, old reaction function but might already invalid.
This is wrong expectation truly valuable place.
Market's biggest opportunity, not necessarily comes from others don't know information, but may come from others still according to old world trade, and you already realized world changed.
This time, market correctly understood CPI, but wrongly understood CPI to long-term fund price meaning. Stock market according to old reaction function rise, long-end bond market refuse confirm, NQ put a non-existent "denominator relaxation" put into price.
So, if this article finally only leaves one question, I hope is this sentence:
Market's first reaction, exactly relied on which one causal chain; and that causal chain, today still valid?
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