By Shui Pi (水皮)
Wind and Water — Complete Implementation Specification
Based on Shui Pi (水皮), Wind and Water (风生水起) (2019)
Table of Contents
- Overview
- Understanding the A-Share Ecosystem
- Policy-Driven Market Framework
- Market Timing Methodology
- Sector Rotation Strategy
- Investor Psychology in Chinese Markets
- Reading Market Signals
- Bull and Bear Market Anatomy
- Position Management Across Cycles
- Risk Management in a Policy Market
- Common Investor Mistakes in A-Shares
- Complete Market Cycle Example
- Key Quotes / Principles
1. Overview
Shui Pi (pen name of Lv Pinzhong) is one of China's most recognized financial
commentators, with decades of experience observing, analyzing, and publicly
commenting on the Chinese stock market. Wind and Water synthesizes his
philosophy: the A-share market is fundamentally a policy-driven market where
traditional Western technical and fundamental analysis must be layered on top of
a deep understanding of government intentions, regulatory cycles, and the
collective psychology of 200 million retail investors.
The core argument rests on three pillars:
Policy is the primary driver. Unlike mature Western markets where earnings
and interest rates dominate, the Chinese A-share market moves first on policy
signals from the State Council, CSRC, PBOC, and other regulators. The investor
who reads policy correctly has a structural edge over the investor who only
reads financial statements.
Sentiment amplifies everything. China's market is dominated by retail
participants who trade on narrative, momentum, and herd behavior. This creates
extreme swings — both in euphoria and in panic — that offer opportunity for
the disciplined observer who understands crowd psychology.
Sector rotation follows a predictable sequence. As each market cycle
unfolds, capital flows through sectors in a roughly repeatable order driven by
policy emphasis, economic cycle positioning, and speculative appetite. The
investor who understands this rotation can position ahead of the crowd.
Shui Pi writes not as an academic but as a practitioner and commentator who has
lived through every major A-share cycle since the market's inception. His
perspective is grounded in observed patterns rather than theoretical models. The
book bridges macro-level policy analysis with actionable market timing, providing
a framework unique to the Chinese market's characteristics.
The operational goal: understand where you are in the policy cycle, identify which
sectors will benefit next, manage position size based on market phase, and avoid
the behavioral traps that destroy retail capital in China's volatile market.
2. Understanding the A-Share Ecosystem
2.1 The Players and Their Motivations
Shui Pi emphasizes that understanding the A-share market begins with understanding
its participants, who differ fundamentally from those in Western markets:
| Player |
Share of Trading |
Primary Motivation |
Behavior Pattern |
| Retail investors |
~80% of daily volume |
Quick profits, speculation |
Herding, momentum chasing, panic selling |
| Domestic institutions |
~10% of daily volume |
Relative performance vs benchmarks |
Window dressing, quarter-end positioning |
| Foreign capital (QFII/Connect) |
~5% of daily volume |
Long-term value, global allocation |
Contrarian buying, quality focus |
| Market makers / prop desks |
~5% of daily volume |
Spread capture, information edge |
Liquidity provision, momentum ignition |
The overwhelming retail participation creates a market that behaves differently
from institutional-dominated markets. Price discovery is less efficient, momentum
persists longer, and reversals are sharper.
2.2 The Regulatory Architecture
The A-share market operates within a regulatory framework that actively intervenes
in market outcomes:
- CSRC (China Securities Regulatory Commission): Controls IPO pacing, short
selling rules, margin requirements, trading halts, and can directly restrict
selling by major shareholders during downturns.
- PBOC (People's Bank of China): Sets monetary policy that directly flows to
equity liquidity — reserve requirement ratios, interest rates, open market
operations.
- State Council: Issues high-level policy directives that signal which
industries will receive favorable treatment (subsidies, tax breaks, preferential
lending).
- National Team (国家队): State-controlled entities (Central Huijin, China
Securities Finance Corp) that directly buy equities during severe downturns to
stabilize the market.
Shui Pi argues that ignoring any of these is like navigating without a compass.
The market cannot be understood purely through supply and demand — it must be
understood through the lens of managed supply and directed demand.
2.3 Structural Characteristics of A-Shares
- Daily price limits: ±10% for main board stocks, ±20% for ChiNext/STAR
Market. This creates artificial bottlenecks during sharp moves.
- T+1 settlement: Shares bought today cannot be sold until tomorrow, limiting
intraday risk management.
- No meaningful short selling for retail. Most retail investors can only go
long, creating a structural upside bias in bull markets and a liquidity vacuum in
bear markets when the only option is to sell or hold.
- IPO lottery system. New share allocation is lottery-based, creating a
first-day pop culture and distorting new listing price discovery.
- Suspension culture. Companies can halt trading for extended periods for
"major events," trapping investor capital.
3. Policy-Driven Market Framework
3.1 The Policy Cycle Model
Shui Pi's central analytical framework is the policy cycle, which he describes as
the dominant force behind major A-share moves:
Phase 1: Policy Loosening Signal (政策宽松信号)
The government signals a shift toward economic stimulus through interest rate cuts,
reserve requirement ratio (RRR) reductions, infrastructure spending announcements,
or explicit statements supporting the stock market. This is the earliest signal of
a potential market bottom.
Phase 2: Liquidity Transmission (流动性传导)
Monetary easing begins flowing through the financial system. Interbank rates
decline, credit growth accelerates, and money supply (M2) growth ticks upward.
The market begins to form a bottom as "smart money" (institutions, foreign capital)
starts accumulating.
Phase 3: Market Recovery (市场回暖)
Prices start rising, initially in policy-favored sectors (infrastructure, banking,
real estate in past cycles; technology, new energy in recent cycles). Retail
investors remain skeptical — volume is moderate.
Phase 4: Broad Rally (全面上涨)
Policy benefits become visible in economic data. Retail investors enter en masse.
Volume surges. Momentum dominates stock selection. This is the phase where most
money is made — and where the seeds of the next decline are planted.
Phase 5: Policy Tightening Signal (政策收紧信号)
The government becomes concerned about speculative excess — asset bubbles, shadow
banking risk, capital misallocation. Signals include: tightening language in State
Council meetings, CSRC warnings about speculation, targeted tightening measures.
Phase 6: Market Distribution (市场派发)
Smart money begins exiting. Retail investors, intoxicated by recent gains,
continue buying. Volume remains high but breadth narrows. Leading sectors roll over
while speculative small-caps may still rally.
Phase 7: Decline (下跌)
Liquidity contraction hits prices. Retail investors panic. Margin calls accelerate
selling. The market overshoots to the downside just as it overshot to the upside.
3.2 Policy Signal Classification
Shui Pi classifies policy signals by strength and clarity:
| Signal Strength |
Examples |
Expected Market Impact |
| Level 1 (Strongest) |
State Council explicit support for stock market; CSRC halting IPOs; National Team direct buying |
Immediate reversal signal; bottom likely within weeks |
| Level 2 (Strong) |
RRR cuts + interest rate cuts in combination; major infrastructure package announced |
Bottom forming over 1-3 months |
| Level 3 (Moderate) |
Single rate cut; targeted easing for specific sectors; verbal guidance from officials |
Supportive but insufficient alone; watch for escalation |
| Level 4 (Weak) |
State media editorials praising market value; minor regulatory relaxation |
Noise unless confirmed by higher-level signals |
3.3 Reading the People's Daily and Xinhua
Shui Pi devotes significant attention to reading official media as a policy
indicator — a skill unique to investing in China:
- Front-page People's Daily articles on the economy signal the government's
framing of economic conditions. Optimistic framing during a downturn often
precedes stimulus measures.
- Xinhua "authorized person" (权威人士) articles are direct messages from
senior leadership. These must be taken at face value — they signal genuine policy
direction.
- CSRC spokesperson language shifts from "healthy development" (tightening
bias) to "protecting investor interests" (loosening bias) provide directional
clues.
4. Market Timing Methodology
4.1 Composite Timing Indicators
Shui Pi does not rely on a single timing tool. Instead, he uses a composite of
policy, liquidity, sentiment, and technical indicators:
Policy Layer:
- Direction of monetary policy (loosening / neutral / tightening)
- Fiscal policy stance (expansionary / contractionary)
- Regulatory tone toward stock market (supportive / neutral / restrictive)
Liquidity Layer:
- M2 growth rate vs nominal GDP growth (excess liquidity = bullish)
- Shanghai Interbank Offered Rate (SHIBOR) trends
- Net inflows through Stock Connect (northbound = foreign buying)
- New fund issuance pace (proxy for retail demand)
Sentiment Layer:
- Number of new brokerage account openings per week
- Margin balance levels (absolute and rate of change)
- Average daily turnover as percentage of total market cap
- Search index for "how to buy stocks" on Baidu
Technical Layer:
- Shanghai Composite relative to its 200-day moving average
- Market breadth — percentage of stocks above their 60-day MA
- Volume profile — is rising price accompanied by rising volume?
- ChiNext / Shanghai Composite ratio — risk appetite proxy
4.2 The Scoring Framework
Shui Pi implicitly uses a scoring approach where each layer contributes to an
overall market stance:
| Layer |
Bullish |
Neutral |
Bearish |
| Policy |
+2 |
0 |
-2 |
| Liquidity |
+2 |
0 |
-2 |
| Sentiment |
+1 |
0 |
-1 |
| Technical |
+1 |
0 |
-1 |
Total Score Range: -6 to +6
| Score |
Market Stance |
Position Guidance |
| +4 to +6 |
Strongly Bullish |
80-100% invested |
| +2 to +3 |
Moderately Bullish |
50-80% invested |
| 0 to +1 |
Neutral |
30-50% invested |
| -1 to -2 |
Moderately Bearish |
10-30% invested |
| -3 to -6 |
Strongly Bearish |
0-10% invested (capital preservation mode) |
4.3 Timing Discipline
Shui Pi stresses that timing is about phases, not days. The goal is to be
broadly right about the market phase, not precisely right about exact turning
points. He distinguishes:
- Phase timing: Identify whether you are in a bull phase, bear phase, or
transition. This is achievable and valuable. Accuracy expectation: 70-80%.
- Inflection timing: Identify the exact week or month of a market turn. This
is difficult but sometimes possible with strong policy signals. Accuracy
expectation: 40-50%.
- Day timing: Identify the exact day of a bottom or top. This is impossible
and should not be attempted. Accuracy expectation: near zero.
5. Sector Rotation Strategy
5.1 The A-Share Rotation Sequence
Shui Pi identifies a characteristic rotation pattern that repeats across most
A-share cycles, driven by the interaction of policy, liquidity, and speculation:
Early Recovery (政策底 → 市场底):
- Financial sector (banks, brokers, insurance) leads. Banks benefit from rate
cuts directly; brokers benefit from anticipated volume increase.
- Infrastructure / construction benefits from fiscal stimulus announcements.
Mid Recovery (市场底 → 确认上涨):
- Real estate and building materials recover as easing reaches the property
sector.
- Consumer staples begin their steady climb as economic confidence returns.
- Blue-chip technology names start attracting institutional capital.
Acceleration Phase (主升浪):
- Technology / growth stocks outperform as risk appetite expands.
- Policy-theme stocks (whichever sector the government is promoting: new energy,
AI, semiconductors, etc.) become momentum leaders.
- Small and mid-cap stocks begin outperforming large-caps.
Late Bull / Distribution (牛市末期):
- Speculative small-caps and concept stocks surge on pure narrative (no
earnings support).
- ST stocks (special treatment, near-delisting) rally on restructuring hopes.
- IPO first-day premiums reach extreme levels.
- The sectors that led the early rally begin underperforming.
Bear Market (熊市):
- Everything declines, but defensive sectors (utilities, consumer staples,
dividend plays) decline least.
- Stocks with high foreign ownership may decline less as northbound flow
provides support.
5.2 Identifying the Current Rotation Phase
Shui Pi recommends monitoring:
- Sector relative strength rankings — which sectors have outperformed the
Shanghai Composite over the past 20, 60, and 120 trading days.
- Leader/laggard divergence — when former leaders stall and former laggards
begin moving, a rotation is underway.
- Volume migration — when daily volume shifts from financial to technology
sectors, the rotation is transitioning from early to mid-phase.
- Concept stock activity — a surge in "concept stock" (概念股) trading volume
signals the late / speculative phase.
6. Investor Psychology in Chinese Markets
6.1 The Retail Mind
Shui Pi, having addressed millions of retail investors through his media
commentary, understands the retail investor mindset deeply:
- "Stocks should make me rich quickly." The average Chinese retail investor
enters the market expecting returns of 30-50%+ per year. This unrealistic
expectation drives excessive risk-taking.
- Herd validation. Decisions are validated by agreement from peers. When
"everyone" is buying a stock, it feels safe. When "everyone" is selling, selling
feels urgent. The herd creates its own momentum.
- Recency bias on steroids. Whatever happened in the last two weeks dominates
the investor's outlook. A two-week rally creates unshakeable bullishness; a
two-week decline creates terminal despair.
- Government dependency. Many retail investors believe the government will
protect them from losses (the "policy bottom" mentality). This creates moral
hazard and delayed panic — retail holds too long expecting a rescue, then
capitulates violently when the rescue does not materialize.
6.2 Sentiment Cycle Model
Shui Pi maps investor sentiment through the market cycle:
| Market Phase |
Dominant Emotion |
Retail Behavior |
Correct Action |
| Late Bear |
Despair, capitulation |
Closing accounts, swearing off stocks |
Begin accumulating quality names |
| Early Recovery |
Disbelief, skepticism |
Staying on sidelines, "dead cat bounce" calls |
Continue building positions |
| Mid Bull |
Cautious optimism |
Re-entering market, buying familiar names |
Hold, rotate toward momentum sectors |
| Late Bull |
Euphoria, greed |
All-in, using margin, recommending stocks to taxi drivers |
Begin reducing exposure |
| Early Bear |
Denial |
Buying the dip, "it's just a correction" |
Accelerate selling |
| Mid Bear |
Fear, anger |
Selling at a loss, blaming regulators |
Hold remaining quality positions, wait |
6.3 Contrarian Indicators
Shui Pi identifies practical contrarian signals specific to the Chinese market:
- Brokerage account openings surge past 2 million per week: Market is late-stage
euphoria. Begin reducing exposure.
- Your taxi driver / barber asks about stock tips: Classic peak indicator.
- State media publishes articles warning about speculation: The government sees
excess and will act. Treat as a strong caution signal.
- Margin balance exceeds 2.5% of total market capitalization: Leverage is
extended. A correction will be amplified.
- Nobody wants to talk about stocks at dinner parties: Approaching a bottom.
- IPO subscription rate falls below 100%: Market sentiment is at or near
maximum pessimism.
7. Reading Market Signals
7.1 Volume-Price Relationships
Shui Pi places particular emphasis on volume analysis in the A-share context:
- Rising price + rising volume: Healthy advance, likely to continue.
- Rising price + declining volume: Advance losing momentum. If persistent,
signals distribution.
- Falling price + rising volume: Panic selling or forced liquidation. Watch for
capitulation volume spikes that mark bottoms.
- Falling price + declining volume: Selling pressure exhausting. Potential base
formation.
The critical volume signal in A-shares is the "tian liang" (天量) — an extreme
volume day that exceeds the previous 60-day average by 3x or more. This almost
always marks either a major top or bottom. If it occurs after a sustained advance,
it signals distribution and a likely top. If it occurs after a sustained decline,
it signals capitulation and a likely bottom.
7.2 The "Limit Board" Signal
Unique to A-shares, the limit-up (涨停) and limit-down (跌停) boards carry
strong information:
- Broad limit-down days (100+ stocks hitting -10%): Panic is extreme. If this
occurs 2-3 times within a week, a short-term bottom is likely imminent.
- Broad limit-up days (100+ stocks hitting +10%): Euphoria is extreme. If
this occurs late in a rally, distribution may follow within days.
- Consecutive limit-ups on new listings: When new IPOs hit limit-up for 10+
consecutive days, speculative appetite is at dangerous levels.
7.3 Stock Connect Flows
The opening of the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect
programs created a valuable signal source. Shui Pi notes:
- Sustained northbound net inflows (foreign buying A-shares) for 10+
consecutive days signal genuine institutional interest, not speculation.
- Sudden northbound net outflows during a rally are a warning signal — foreign
"smart money" is taking profits.
- Sectors receiving the most northbound flow indicate where foreign fundamental
analysis sees the most value, providing a useful cross-check.
8. Bull and Bear Market Anatomy
8.1 Historical Pattern Recognition
Shui Pi analyzes every major A-share cycle from 1996 to the present. His key
observation: A-share bull-bear cycles are shorter and more violent than Western
cycles.
| Cycle |
Bull Duration |
Bull Gain |
Bear Duration |
Bear Loss |
| 1996-1997 / 1997-1999 |
~18 months |
+195% |
~24 months |
-55% |
| 1999-2001 / 2001-2005 |
~24 months |
+115% |
~48 months |
-55% |
| 2005-2007 / 2007-2008 |
~30 months |
+513% |
~12 months |
-72% |
| 2008-2009 / 2009-2013 |
~10 months |
+97% |
~48 months |
-45% |
| 2014-2015 / 2015-2016 |
~12 months |
+155% |
~8 months |
-49% |
Observation: Bull markets gain 100-500% over 10-30 months. Bear markets lose
45-72% over 8-48 months. The asymmetry demands that investors participate in
bulls and avoid bears. Being fully invested during a bear is the single most
destructive outcome.
8.2 The Five Stages of a Bull Market
- Stealth phase: Smart money accumulates. Market climbs a wall of worry.
Most retail investors are absent, burned by the prior bear.
- Awareness phase: Media coverage increases. Early retail investors return.
Breadth expands beyond initial leading sectors.
- Mania phase: Retail floods in. Margin borrowing surges. Valuations
disconnect from fundamentals. Daily volume sets records.
- Distribution phase: Smart money exits while retail buys. Indices may reach
new highs but internal breadth deteriorates.
- Crash phase: A catalyst triggers selling. Margin calls create forced
liquidation. Limit-down boards trap investors. Policy intervention eventually
stabilizes the market at much lower levels.
9. Position Management Across Cycles
9.1 Allocation by Market Phase
Shui Pi advocates dynamic allocation — the A-share market's extreme cyclicality
demands it:
| Market Phase |
Equity Allocation |
Sector Tilt |
Cash / Bonds |
| Late Bear / Capitulation |
20-30% |
Defensive, value, dividends |
70-80% |
| Early Recovery |
40-60% |
Financials, infrastructure |
40-60% |
| Mid Bull |
70-85% |
Growth, policy themes, technology |
15-30% |
| Late Bull / Euphoria |
30-50% |
Reduce all, favor quality |
50-70% |
| Early Bear |
10-20% |
Only the strongest positions |
80-90% |
| Mid Bear |
0-10% |
Capital preservation |
90-100% |
9.2 Adding and Reducing Rules
Adding (加仓):
- Add in increments of 10-20% of target position. Never build a full position
in a single transaction.
- Add only when both the policy and liquidity indicators are supportive.
- Add on pullbacks during confirmed uptrends, not on breakouts (A-share
breakouts have a high failure rate).
Reducing (减仓):
- Reduce in increments of 20-30% of existing position. The first reduction should
be the easiest — it locks in profits and reduces risk.
- Reduce when any two of the four timing layers (policy, liquidity, sentiment,
technical) flip from bullish to neutral or bearish.
- Reduce aggressively (50%+ of remaining position) when the policy layer
explicitly shifts to tightening.
9.3 The Cash Rule
Shui Pi insists on maintaining a minimum cash buffer at all times:
- Bull market minimum: 15% cash. This provides ammunition for pullback buying
and psychological comfort during corrections.
- Bear market minimum: 70% cash. Capital preservation is the primary
objective. The compounding benefit of avoiding a 50% drawdown (which requires a
100% gain to recover) far exceeds anything lost by missing the first 10-15% of
the next rally.
10. Risk Management in a Policy Market
10.1 Policy Risk Hierarchy
| Risk Level |
Description |
Mitigation |
| 1 (Highest) |
Systemic policy shift — fundamental change in economic model |
Reduce to minimum equity exposure immediately |
| 2 |
Sector-specific crackdown — targeted regulation |
Exit affected sectors; monitor for spillover |
| 3 |
Monetary tightening cycle |
Reduce gradually, increase cash allocation |
| 4 |
CSRC trading rule changes |
Adapt trading approach; rarely requires position change |
| 5 (Lowest) |
Routine regulatory fine or investigation |
Individual stock risk; manageable through diversification |
10.2 Concentration Limits
- No single stock: more than 15% of portfolio.
- No single sector: more than 30% of portfolio.
- No single policy theme: more than 40% of portfolio.
- Minimum positions: 6 stocks (enough to diversify, few enough to monitor).
- Maximum positions: 15 stocks (beyond this, dilution reduces returns to index).
10.3 Stop-Loss Philosophy
Shui Pi takes a nuanced position on stop-losses in the A-share market:
- Hard stop-losses (sell at -8% automatically) are too rigid for a market with
±10% daily limits and frequent gap moves. A stock can gap through your stop.
- Conditional stop-losses are preferred: sell if the stock declines 15%+ AND the
policy/liquidity layer has turned negative. If the stock declines 15% but the
policy layer is supportive, it may be a buying opportunity rather than a sell
signal.
- Time-based stops: if a position shows no meaningful appreciation after 3 months
in a rising market, the thesis may be wrong. Review and consider reallocation.
11. Common Investor Mistakes in A-Shares
11.1 The Ten Deadly Mistakes
Shui Pi catalogs the mistakes he has observed most frequently among the retail
investors he interacts with:
- Buying on tips without research. The WeChat group recommendation or "insider
information" is almost always wrong or already priced in by the time retail
receives it.
- Averaging down on a declining stock without thesis review. Catching a
falling knife is the fastest path to portfolio destruction.
- Selling winners and holding losers. The disposition effect is amplified in
China's retail market. Investors lock in small gains and nurse large losses.
- Ignoring policy signals. Trading A-shares without reading policy is like
sailing without checking the weather.
- Full position at all times. The refusal to hold cash means full exposure to
every decline.
- Chasing daily limit-up stocks. By the time a stock hits limit-up, the easy
money has been made. Buying at limit-up is high-risk, low-reward.
- Confusing a bull market with skill. In a broad A-share rally, 90% of stocks
go up. This is not evidence of stock-picking ability.
- Using margin in a late-stage rally. Leverage amplifies the decline just as
it amplified the rise. Margin calls create forced selling at the worst time.
- Trading every day. Overtrading generates commissions and taxes that compound
against the investor over time.
- Ignoring the exit. Every entry should have a pre-defined exit condition.
Entering without an exit plan is gambling, not investing.
12. Complete Market Cycle Example
12.1 Scenario: 2014-2016 Bull and Bear
Shui Pi walks through the 2014-2015 bull market and subsequent crash as a case
study in his framework:
Late 2014 — Policy Bottom:
- PBOC cut interest rates on November 21, 2014 — the first cut in two years.
- Scoring: Policy +2, Liquidity +1, Sentiment -1, Technical 0 = +2 (Moderately
Bullish).
- Action: Increase equity to 50-60%. Focus on financials (direct beneficiaries of
rate cuts). Brokerages (中信证券, 海通证券) led the initial advance.
Q1 2015 — Acceleration Phase:
- Government signaled support for "Internet Plus" initiative and mass
entrepreneurship.
- Technology and small-cap stocks surged. ChiNext index massively outperformed.
- Scoring: Policy +2, Liquidity +2, Sentiment +1, Technical +1 = +6 (Strongly
Bullish).
- Action: 80-85% invested. Rotate from financials toward technology / growth.
May-June 2015 — Euphoria Peak:
- New brokerage accounts exceeded 4 million per week. Margin balance hit 2.27
trillion yuan.
- Shui Pi's contrarian signals fired: taxi drivers asking about stocks, margin at
extreme, concept stocks doubling on no news.
- Scoring: Policy 0 (CSRC began warning), Liquidity +1, Sentiment -1 (extreme
euphoria is bearish), Technical +1 = +1 (Neutral).
- Action: Reduce to 30-40% invested. Sell speculative positions entirely.
June-August 2015 — Crash:
- CSRC tightened margin lending rules on June 12. Market collapsed.
- Shanghai Composite fell from 5,178 to 2,850 — a 45% decline in 10 weeks.
- Scoring: Policy -1, Liquidity -2, Sentiment -1, Technical -1 = -5 (Strongly
Bearish).
- Action: 0-10% invested. Full capital preservation mode.
August 2015 — Policy Rescue:
- National Team entered with direct buying. CSRC halted IPOs. Short selling
restricted.
- Scoring: Policy +2 (Level 1 signal), Liquidity -1, Sentiment -1, Technical -1
= -1 (Moderately Bearish despite policy support).
- Action: Cautiously increase to 15-20%. The policy rescue prevents further crash
but does not create a new bull market.
12.2 Lessons from the Case Study
- Policy signals correctly identified both the start and the warning signs.
- The sentiment extremes in May-June were visible to anyone monitoring the
contrarian indicators.
- The crash phase moved too fast for traditional stop-losses — position sizing
and cash management were the true risk management tools.
- The policy rescue created a floor but not a recovery — patience was required
for another 12+ months.
14. Key Quotes / Principles
"The A-share market is a policy market. If you do not understand the government's
intentions, you do not understand the market. Technical analysis without policy
analysis is a compass without a map."
"When the People's Daily publishes an editorial urging rational investment, it
means the government is worried about speculation. When it publishes an editorial
celebrating the stock market's contribution to economic reform, it means the
government wants prices higher. Learn to read between the lines."
"The retail investor's greatest advantage is the ability to hold cash. Unlike a
fund manager who must be invested, you can sit out an entire bear market. This
option is worth more than any stock-picking skill."
"In the A-share market, wind (风) is the policy direction, and water (水) is the
flow of capital. Where the wind blows, the water follows. Your job is to observe
the wind before it reaches the water."
"Every bull market in China has ended the same way: with taxi drivers giving stock
tips and farmers taking out loans to trade. When everyone you meet has a stock
recommendation, you should have nothing left to sell."
"The 2015 crash taught a generation of investors an expensive lesson: leverage is
a one-way door. It is easy to add margin when prices are rising. It is impossible
to manage margin when prices are falling at the daily limit."
"Sector rotation is not a prediction — it is an observation. You do not need to
predict which sector will lead next. You need to observe where volume and capital
are migrating today and position yourself accordingly."
"The difference between a good A-share investor and a mediocre one is not stock
selection. It is position sizing. Being 30% invested during a crash matters more
than which stocks you own."
"Do not fight the National Team. When state capital enters the market to buy, a
floor is being set. It may not mean the bottom is in, but it means the government
has drawn a line. Respect that line — but do not assume it means a new bull
market has begun."
"The three most dangerous words in the Chinese stock market are 'this time is
different.' Every cycle brings a new narrative for why the old rules no longer
apply. They always apply."