Based on éŖēćå²ćē³»å (7 volumes), published by Snowball (xueqiu.com), China's largest investing community
The Snowball Island Series (éŖēćå²ćē³»å) is a collection of seven volumes curated from the best investment discussions on Snowball (xueqiu.com) ā China's equivalent of StockTwits meets Seeking Alpha. The series is designed as a progressive curriculum for Chinese retail investors, covering everything from basic market literacy to advanced portfolio management.
Core philosophy: Investing is not gambling; it is a skill that can be learned through systematic study, disciplined practice, and continuous self-improvement.
The series addresses the unique characteristics of China's A-share market:
Target audience: Chinese retail investors with 0-3 years of experience who want to transition from speculation to systematic investing.
Ten commandments for amateur investors:
| Rule | Description |
|---|---|
| 1. Know your circle of competence | Only invest in businesses you genuinely understand |
| 2. Understand what you own | Read annual reports, know the business model |
| 3. Valuation matters | No stock is good at any price |
| 4. Margin of safety | Buy at a discount to intrinsic value |
| 5. Don't chase hot stocks | By the time everyone knows, the opportunity is gone |
| 6. Hold through volatility | Short-term price moves are noise |
| 7. Diversify appropriately | 5-15 stocks across different sectors |
| 8. Keep learning | Read annual reports, investor letters, financial books |
| 9. Ignore market predictions | Nobody can consistently predict short-term moves |
| 10. Think independently | Form your own views, not broker recommendations |
Covers index funds, active funds, ETFs, LOFs, and systematic investment plans (å®ę) for salaried workers who lack time for individual stock research.
How to read the three financial statements of Chinese listed companies ā income statement, balance sheet, cash flow statement ā with A-share-specific accounting nuances.
Asset allocation for Chinese investors ā stocks, bonds, real estate, gold, cash ā with emphasis on the unique constraints of China's capital markets.
Behavioral biases that destroy retail investor returns ā herding, anchoring, loss aversion, overconfidence, recency bias ā with Chinese market examples.
Practical guide to A-share trading mechanics ā account opening, order types, settlement rules, margin trading, index composition, sector classification.
Applying Buffett/Graham principles in China's unique market ā SOE reform plays, consumer upgrades, technology localization, demographic trends.
The series advocates a layered approach to stock selection:
Filter 1: Business Quality
Filter 2: Financial Health
Filter 3: Management Quality
Filter 4: Valuation
| Factor | What to Look For |
|---|---|
| Policy alignment | Companies benefiting from Five-Year Plan priorities |
| Northbound capital flow | Stocks heavily bought by Hong Kong Connect investors (often signal quality) |
| Institutional ownership | Increasing mutual fund holdings in quarterly 13F-equivalent filings (åŗééä»č”) |
| SOE reform | State-owned enterprises with reform catalysts (mixed ownership, asset injection) |
| Consumer upgrade | Companies serving China's growing middle class |
| Import substitution | Domestic replacements for foreign technology |
The series strongly advocates index fund DCA for most investors:
Recommended Index Funds for Chinese Investors:
| Index | Description | Use Case |
|---|---|---|
| CSI 300 (ę²Ŗę·±300) | Top 300 A-shares by market cap | Core holding, broad market |
| CSI 500 (äøčÆ500) | Mid-cap 500 stocks | Growth tilt, complement to CSI 300 |
| ChiNext Index (åäøęæę) | Growth/tech companies | High-growth allocation |
| STAR 50 (ē§å50) | Innovation/tech on STAR Market | Technology exposure |
| Hang Seng Index | Hong Kong blue chips | Geographic diversification |
| S&P 500 (via QDII) | US large caps | International diversification |
DCA Execution Rules:
IF index_PE < historical_20th_percentile:
monthly_amount = base_amount Ć 2.0
ELIF index_PE < historical_40th_percentile:
monthly_amount = base_amount Ć 1.5
ELIF index_PE < historical_60th_percentile:
monthly_amount = base_amount Ć 1.0
ELIF index_PE < historical_80th_percentile:
monthly_amount = base_amount Ć 0.5
ELSE:
monthly_amount = base_amount Ć 0.25
consider_partial_redemption()
When selecting actively managed funds:
The series recommends a core-satellite approach:
Core (60-70%):
āāā CSI 300 index fund (30-40%)
āāā Bond fund or money market (20-30%)
āāā Balanced fund (10%)
Satellite (30-40%):
āāā Individual quality stocks (15-20%)
āāā Sector/thematic funds (5-10%)
āāā International allocation via QDII (5-10%)
| Age Range | Stocks/Equity Funds | Bonds/Fixed Income | Cash |
|---|---|---|---|
| 20-30 | 70-80% | 15-25% | 5% |
| 30-40 | 60-70% | 25-35% | 5% |
| 40-50 | 50-60% | 30-40% | 10% |
| 50-60 | 30-40% | 45-55% | 15% |
| 60+ | 20-30% | 50-60% | 20% |
| Feature | A-Share Rule |
|---|---|
| Trading hours | 9:30-11:30, 13:00-15:00 (Beijing time) |
| Settlement | T+1 (buy today, can sell tomorrow) |
| Price limit | Ā±10% daily for main board; Ā±20% for ChiNext/STAR; Ā±30% on IPO first 5 days (STAR/ChiNext) |
| Lot size | 100 shares (1 ę) minimum; STAR allows 200+ |
| Short selling | Available via margin account (čåø) but limited and expensive for retail |
| Stamp tax | 0.05% on sell side only (as of recent cuts) |
The series identifies a repeating pattern in A-share market cycles:
Phase 1: Policy Bottom (ęæēåŗ)
ā Government signals support (rate cuts, stamp tax reduction, "confidence" speeches)
ā Smart money starts accumulating
ā Retail investors still fearful
Phase 2: Market Bottom (åøåŗåŗ)
ā Typically 1-3 months after policy bottom
ā Volume dries up, apathy sets in
ā Best time to buy (but hardest psychologically)
Phase 3: Earnings Recovery (ēå©åŗ)
ā Corporate earnings start improving
ā Market has already rallied 20-40%
ā Retail investors start paying attention
Phase 4: Bull Market (ēåø)
ā Broad participation, rising volume
ā Every correction is bought
ā Media coverage intensifies
Phase 5: Euphoria (ēÆē)
ā New account openings surge
ā Taxi drivers discuss stocks
ā PE ratios reach historical extremes
ā "This time is different" narrative
Phase 6: Distribution & Crash (å“©ē)
ā Smart money sells to retail
ā Sharp decline, leverage unwinds
ā Government intervention (but often too late)
| Indicator | Signal |
|---|---|
| New investor account openings | Euphoria when surging |
| Margin balance (äø¤čä½é¢) | Leverage risk when above 1.5T RMB |
| Northbound capital flow (ååčµé) | Institutional sentiment |
| CSI 300 PE percentile | Valuation context |
| M2 money supply growth | Liquidity environment |
| Shibor (interbank rate) | Liquidity tightness |
| IPO pace | Regulator confidence in market |
| Sin | Description | Antidote |
|---|---|---|
| Chasing rises, cutting losses late (čæ½ę¶Øęč·) | Buy when excited, sell when panicked | Pre-set buy/sell rules before emotions take over |
| Herding (ē¾ē¾¤ęåŗ) | Following the crowd into hot stocks | Ask: "Would I buy this if no one else was talking about it?" |
| Anchoring (éå®ęåŗ) | Refusing to sell because "it was higher before" | Judge stocks by current fundamentals, not past prices |
| Loss aversion (ę失åę¶) | Holding losers hoping to break even | Set and honor stop-loss rules; a loss on paper is still a loss |
| Overconfidence (čæåŗ¦čŖäæ”) | Believing you can time the market | Track your actual returns honestly, including all trades |
| Recency bias (čæå ęåŗ) | Extrapolating recent returns into the future | Study long-term market history, not just the last 6 months |
| Information overload (äæ”ęÆčæč½½) | Watching every tick, reading every rumor | Check portfolio weekly at most; daily monitoring causes bad decisions |
Chinese retail investors exhibit an extreme version of the disposition effect:
Corrective framework:
The series prescribes a 90-day habit formation program:
First line: Position sizing
max_loss_amount / (entry_price - stop_loss_price)Second line: Portfolio diversification
Third line: Cash reserve
| Strategy Type | Stop-Loss Method |
|---|---|
| Value investing | Sell if fundamental thesis breaks (earnings miss, competitive position weakens) |
| Growth investing | -15% from entry OR loss of growth trajectory (2 consecutive quarters of deceleration) |
| Technical trading | Below key support level or moving average |
| Index fund DCA | No stop-loss; continue buying through drawdowns |
| Portfolio Drawdown | Action |
|---|---|
| 0-10% | Normal volatility; no action required |
| 10-20% | Review all positions; confirm theses still intact |
| 20-30% | Reduce lowest-conviction positions; increase cash |
| 30%+ | Comprehensive review; consider if market structure has changed |
| Mistake | Why It Happens | Fix |
|---|---|---|
| Trading on WeChat group tips | Social pressure, fear of missing out | Unfollow stock-tip groups; do your own research |
| Buying IPOs blindly | "IPOs always go up" myth from pre-reform era | Evaluate IPOs like any other stock ā on fundamentals |
| Ignoring fees and taxes | Focus on gross returns | Track net returns after all costs |
| Using margin in bear markets | Desperate attempt to recover losses | Never use margin unless portfolio is profitable |
| Sector rotation chasing | Last month's hot sector feels like free money | By the time a sector is hot, the easy money is made |
| Holding > 30 positions | "Diversification" that is actually confusion | Concentrate in 5-15 high-conviction positions |
| Checking prices hourly | Creates anxiety and impulsive trading | Set price alerts; check no more than once per day |
| Confusing investing with gambling | Treating the market as a casino | Study business fundamentals; invest, don't bet |
| Ignoring opportunity cost | Holding dead money in stagnant stocks | If a stock has done nothing for 2 years, rotate capital |
| Borrowing to invest | Using consumer loans or mortgages for stocks | Only invest money you will not need for 3+ years |
The series normalizes early losses as "tuition fees" (å¦č“¹) but emphasizes:
Based on the series' recommended approach for a quality stock investment:
Source: Reading annual reports of consumer staples companies
Company: Leading Chinese condiment maker (e.g., soy sauce industry leader)
Initial impression: Dominant market share, strong brand, pricing power
Action: Add to research watchlist
Financial analysis:
Revenue CAGR (3yr): 15% ā
Net margin: 28% (stable) ā
ROE: 32% (consistently > 20%) ā
Operating cash flow / Net income: 1.2x ā
Debt-to-equity: 0.15 ā
Free cash flow: positive 5 consecutive years ā
Business quality:
Moat: Brand + distribution network + scale advantages ā
Industry: Consumer staples, stable demand ā
Market share: #1 with 18% share, #2 has 8% ā
Management:
Founder-led, 15+ year track record ā
Clear strategic communication ā
Insider buying in recent quarter ā
Current PE: 45x
5-year PE range: 35x - 70x
Current PE percentile: 25th (relatively cheap)
PEG ratio: 45 / 20 = 2.25 (not cheap, but quality premium)
Dividend yield: 1.8%
Peer comparison: At low end of quality consumer names
Assessment: Fair to slightly undervalued for this quality level
Portfolio allocation: Target 8% of equity portfolio
Initial buy: 4% position (pilot buy)
Entry price: Ā„85
Stop-loss: Fundamental ā will sell if ROE drops below 20% or
competitive position deteriorates
Price-based alert: Set alert at Ā„72 (-15%) for review
Month 2: Q1 earnings ā revenue +18%, profit +22%, in line with thesis
Action: Add to full 8% position at Ā„90
Month 6: Stock drops to Ā„78 with broad market correction
Check: Fundamentals unchanged, operating metrics strong
Action: Add 2% more (now 10% position) ā buying on weakness
Month 12: Annual report confirms continued execution
Action: Hold; adjust stop-loss to fundamental triggers only
Scenario A ā Thesis intact: Continue holding indefinitely
Scenario B ā Overvaluation: PE reaches 70x+ (historical 95th percentile)
ā Trim 30-50% of position, retain core holding
Scenario C ā Thesis breaks: New competitor gains share, margins compress
ā Sell entire position regardless of profit/loss
"ęčµęÆ认ē„ēåē°ć" ā Investment returns are the monetization of your understanding.
"å„½å ¬åøäøēäŗ儽č”ē„Øļ¼å„½č”ē„Øäøēäŗ儽ēęčµę¶ęŗć" ā A good company is not always a good stock, and a good stock is not always bought at the right time.
"å«äŗŗč“Ŗå©Ŗę¶ęę§ļ¼å«äŗŗęę§ę¶č“Ŗå©Ŗāāä½åØAč”ļ¼ä½ éč¦å äøę”ļ¼å«äŗŗēÆēę¶ē¦»åŗć" ā Be fearful when others are greedy, greedy when others are fearful ā but in A-shares, add one more: leave when others go insane.
"å®ęęÆę®éäŗŗęę„čæę£ē”®ēęčµę¹å¼ć" ā Dollar-cost averaging is the closest thing to a correct investment approach for ordinary people.
"äøč¦ēØä½ ēęæč“·é±å»åäøäøŖę¶Øåęæć" ā Do not gamble your mortgage payment on a daily limit-up.
"ę儽ēé£ę§ęÆåØä¹°å „ä¹åå®ęēć" ā The best risk management is completed before the buy order is placed.
"ęčµę„č®°ęÆä½ ęčÆå®ēčåøć" ā Your investment journal is your most honest teacher.
"Ač”ä»ę„äøē¼ŗęŗä¼ļ¼ē¼ŗēęÆč½ęæä½å„½č”ē„Øēčåæć" ā The A-share market never lacks opportunities; what is lacking is the patience to hold good stocks.
"å¦č“¹äŗ¤äŗå°±č¦å¦å°äøč„æļ¼å¦åå°±ęÆē½äŗć" ā If you have paid tuition, you must learn the lesson ā otherwise you have lost money for nothing.
"ä»ä½ē®”ēęÆéč”ę“éč¦ć" ā Position sizing is more important than stock selection.