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

  1. Overview
  2. Understanding the A-Share Ecosystem
  3. Policy-Driven Market Framework
  4. Market Timing Methodology
  5. Sector Rotation Strategy
  6. Investor Psychology in Chinese Markets
  7. Reading Market Signals
  8. Bull and Bear Market Anatomy
  9. Position Management Across Cycles
  10. Risk Management in a Policy Market
  11. Common Investor Mistakes in A-Shares
  12. Complete Market Cycle Example
  13. 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:

  1. 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.

  2. 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.

  3. 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:

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


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:


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:

Liquidity Layer:

Sentiment Layer:

Technical Layer:

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:


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):

Mid Recovery (市场底 → 确认上涨):

Acceleration Phase (主升浪):

Late Bull / Distribution (牛市末期):

Bear Market (熊市):

5.2 Identifying the Current Rotation Phase

Shui Pi recommends monitoring:


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:

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:


7. Reading Market Signals

7.1 Volume-Price Relationships

Shui Pi places particular emphasis on volume analysis in the A-share context:

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:

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:


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

  1. Stealth phase: Smart money accumulates. Market climbs a wall of worry. Most retail investors are absent, burned by the prior bear.
  2. Awareness phase: Media coverage increases. Early retail investors return. Breadth expands beyond initial leading sectors.
  3. Mania phase: Retail floods in. Margin borrowing surges. Valuations disconnect from fundamentals. Daily volume sets records.
  4. Distribution phase: Smart money exits while retail buys. Indices may reach new highs but internal breadth deteriorates.
  5. 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):

Reducing (减仓):

9.3 The Cash Rule

Shui Pi insists on maintaining a minimum cash buffer at all times:


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

10.3 Stop-Loss Philosophy

Shui Pi takes a nuanced position on stop-losses in the A-share market:


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:

  1. 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.
  2. Averaging down on a declining stock without thesis review. Catching a falling knife is the fastest path to portfolio destruction.
  3. Selling winners and holding losers. The disposition effect is amplified in China's retail market. Investors lock in small gains and nurse large losses.
  4. Ignoring policy signals. Trading A-shares without reading policy is like sailing without checking the weather.
  5. Full position at all times. The refusal to hold cash means full exposure to every decline.
  6. 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.
  7. 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.
  8. 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.
  9. Trading every day. Overtrading generates commissions and taxes that compound against the investor over time.
  10. 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:

Q1 2015 — Acceleration Phase:

May-June 2015 — Euphoria Peak:

June-August 2015 — Crash:

August 2015 — Policy Rescue:

12.2 Lessons from the Case Study

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."