Path to Trading — Complete Implementation Specification

Based on Chen Kai (陈凯), Path to Trading (交易之路) (2019)

---

Table of Contents

1. Overview
2. The Five Stages of Trader Development
3. Trading System Design — The Complete Framework
4. Market Selection in China
5. Technical Analysis Toolbox for A-Shares
6. Trend Following Methodology
7. Mean Reversion Strategies
8. Multi-Timeframe Analysis
9. Position Sizing and Money Management
10. Risk Control Framework
11. Trading Psychology and Emotional Management
12. Backtesting and System Validation
13. Trade Journaling
14. Behavioral Discipline
15. Common Mistakes
16. Complete Trade Lifecycle Example
17. Key Principles

---

1. Overview

1.1 The Central Thesis

Chen Kai's Path to Trading maps the complete journey from novice retail investor to professional, systematic trader. Unlike many Chinese trading books that focus on a single technique or secret indicator, Chen Kai argues that trading success emerges from the integration of five pillars: market understanding, a complete trading system, disciplined risk management, psychological maturity, and continuous self-improvement. No single pillar is sufficient on its own; omitting any one of them will eventually destroy a trader's account.

The book is grounded in the reality of Chinese markets — the T+1 settlement rule for A-shares, the 10% daily price limit (涨跌停), the dominance of retail investors, the unique behavior of Chinese futures markets, and the regulatory environment that shapes how strategies must be adapted from Western textbooks.

1.2 Who This Book Is For

Chen Kai writes for three audiences:

• The complete beginner who has capital but no framework — the book provides a structured curriculum from basic concepts to a functioning system.
• The intermediate trader who has been trading for 1-3 years, has lost money, and does not know why — the book diagnoses the most common structural problems in their approach.
• The experienced trader who is profitable but inconsistent — the book provides the psychological and systematic framework to stabilize performance.

1.3 The Core Philosophy

Trading is not about prediction; it is about probability and process. The market will always do unpredictable things. The trader's job is not to be right about direction, but to construct a system where being right yields significantly more than being wrong costs, and then to execute that system with absolute consistency.

Chen Kai emphasizes repeatedly: 交易是一场修行 — "Trading is a practice of self-cultivation." Technical skill accounts for perhaps 30% of long-term success. The remaining 70% is psychological discipline, emotional management, and the ability to follow rules when every instinct screams to deviate.

---

2. The Five Stages of Trader Development

2.1 Stage One — Unconscious Incompetence (无意识的无能)

The beginner does not know what they do not know. Characteristics include:

• Trades based on tips from friends, social media, or financial news programs.
• No concept of risk management — invests entire account in a single stock.
• Confuses a rising market with personal skill; early profits reinforce bad habits.
• No trading plan, no exit strategy, no understanding of why a trade was entered.
• Typical duration: 0-6 months of active trading.

2.2 Stage Two — Conscious Incompetence (有意识的无能)

After significant losses (often 30-50% of capital), the trader realizes something is fundamentally wrong. Characteristics include:

• Begins studying technical analysis, reads books, watches courses.
• Oscillates between strategies — tries moving averages, then candlestick patterns, then indicators, abandoning each after a few losing trades.
• The "indicator addiction" phase: adding more and more indicators hoping for certainty.
• Starts to understand that losses are normal but cannot yet tolerate them emotionally.
• Typical duration: 6 months to 2 years.

2.3 Stage Three — The Aha Moment (顿悟时刻)

The trader has a breakthrough realization — usually not about a technique, but about the nature of the game. Common realizations include:

• No indicator predicts the future; all indicators describe the past.
• Simplicity beats complexity; a simple system followed consistently outperforms a complex system followed sporadically.
• Risk management is not optional — it is the core of the entire endeavor.
• The goal is not to be right on every trade, but to have a positive expectancy over many trades.

2.4 Stage Four — Conscious Competence (有意识的有能)

The trader has a working system and understands why it works. Challenges at this stage:

• Knows what to do but still struggles to execute — the gap between knowledge and action.
• Experiences periods of discipline followed by emotional breakdowns during drawdowns.
• Begins journaling trades and tracking statistics for the first time.
• Starting to understand the psychological dimension of trading.
• Typical duration: 1-3 years after the aha moment.

2.5 Stage Five — Unconscious Competence (无意识的有能)

Execution becomes automatic. The trader no longer debates whether to follow the system; doing so is as natural as breathing. Characteristics include:

• Emotional neutrality toward individual trade outcomes.
• Complete trust in the system because it has been tested and tracked rigorously.
• Focus shifts from "How do I make money?" to "How do I manage risk?"
• Trading becomes boring — which is the hallmark of mastery.
• Few traders reach this stage. Those who do typically have 5-10+ years of active experience.

---

3. Trading System Design — The Complete Framework

3.1 The Six Components

Chen Kai defines a complete trading system as one that answers six questions with absolute specificity. A system missing any one of these is incomplete and will fail under stress.

Component	Question It Answers	Example
Market Selection (品种选择)	What do I trade?	CSI 300 components with average daily volume > 50M RMB
Direction Bias (方向判断)	Am I looking for longs, shorts, or both?	Long only in uptrending markets (MA20 > MA60 on weekly)
Entry Signal (入场信号)	When exactly do I enter?	Price breaks above 20-day high on daily close with volume > 1.5x avg
Exit Signal (出场信号)	When exactly do I exit — both for profit and loss?	Stop-loss: 2x ATR below entry. Profit target: trailing stop at 3x ATR
Position Sizing (仓位管理)	How much do I risk on this trade?	Risk 1% of account equity per trade
Trade Management (交易管理)	How do I handle the trade between entry and exit?	Add to winners at 1R profit; never average down

3.2 The Hierarchy of Importance

Chen Kai ranks the components in order of their contribution to long-term profitability:

1. Position Sizing (40% of outcome) — Even a mediocre system becomes profitable with excellent money management; even a great system can destroy an account with poor sizing.
2. Exit Strategy (25% of outcome) — How you exit determines whether you capture trends or give back all gains.
3. Entry Signal (15% of outcome) — Important but less so than most beginners think.
4. Direction Bias (10% of outcome) — Trading with the prevailing trend provides an inherent edge.
5. Market Selection (5% of outcome) — Some instruments are structurally better suited to certain strategies.
6. Trade Management (5% of outcome) — Adding to winners, scaling out, and adjustment rules.

3.3 System Coherence

Every component must be philosophically consistent. A trend-following entry paired with a mean-reversion exit will produce confusion and inconsistency. Chen Kai provides this coherence test:

• Trend-following system: Wide stops, let winners run, accept low win rate (~35-45%), aim for large average win / average loss ratio (>2:1).
• Mean-reversion system: Tight targets, small profits captured frequently, high win rate (60-70%), smaller average win / average loss ratio (1:1 or less).

Mixing elements from both philosophies is the single most common reason trading systems fail.

---

4. Market Selection in China

4.1 A-Share Stocks (A股)

Structural characteristics:

• T+1 settlement: Cannot sell shares bought today until the next trading day.
• 10% daily price limit (涨跌停): 20% for ChiNext (创业板) stocks since August 2020.
• Short selling is extremely limited (融券) and expensive, making the market structurally biased toward long positions.
• Dominated by retail investors (~80% of volume), creating pronounced behavioral patterns.
• Stamp duty (印花税) on selling adds to transaction costs.

Implications for system design:

• Trend-following systems must account for T+1 — cannot react to same-day reversals.
• The daily price limit creates "artificial" trends (连板 — consecutive limit-up days) that are not present in other markets.
• Long-only bias means the system must include clear rules for standing aside in bear markets.
• Retail dominance creates stronger momentum and more extreme mean-reversion opportunities than institutional-dominated markets.

4.2 Chinese Futures (期货)

Structural characteristics:

• T+0 trading: Can enter and exit on the same day.
• Leverage: Typically 5x-15x depending on the contract.
• Bidirectional: Can go long or short with equal ease.
• Major categories: commodities (metals, energy, agriculture), financial futures (stock index futures, treasury bond futures).

Implications for system design:

• T+0 allows for intraday strategies impossible with A-shares.
• Leverage demands much more rigorous position sizing — a 1% move can represent a 10% portfolio impact.
• Trend-following systems are historically more successful in commodity futures than in equities.
• Night trading sessions for certain contracts add complexity.

4.3 Options (期权)

Structural characteristics:

• Limited but growing: SSE 50 ETF options, CSI 300 ETF options, stock index options.
• Can be used for directional bets, hedging, or volatility strategies.
• Non-linear payoff profiles require different risk management than stocks or futures.

Implications for system design:

• Best used as a complement to a stock or futures portfolio, not as a standalone trading vehicle for most retail traders.
• Selling premium strategies can enhance returns in sideways markets.
• Requires additional knowledge (Greeks, implied volatility, time decay) that Chen Kai recommends learning only after mastering a simpler system.

4.4 Chen Kai's Recommendation

For beginners: Start with A-share stocks. The T+1 constraint actually helps by preventing impulsive intraday trading. The daily price limit caps maximum single-day loss. Move to futures only after achieving consistent profitability in stocks for at least one year.

---

5. Technical Analysis Toolbox for A-Shares

5.1 Moving Averages (均线系统)

Chen Kai considers moving averages the most important technical tool because they are objective, unambiguous, and directly represent what matters: the average price paid by market participants over a given period.

Key moving averages for A-shares:

MA Period	Function	Common Chinese Term
5-day	Very short-term trend, aggressive timing	攻击线 (Attack Line)
10-day	Short-term trend	操盘线 (Trading Line)
20-day	Intermediate trend	辅助线 (Support Line)
60-day	Medium-term trend, institutional reference	生命线 (Lifeline)
120-day	Semi-annual trend, bull/bear divide	决策线 (Decision Line)
250-day	Annual trend, long-term direction	趋势线 (Trend Line)

MA-based signals:

• Golden Cross (金叉): Shorter MA crosses above longer MA — bullish.
• Death Cross (死叉): Shorter MA crosses below longer MA — bearish.
• MA Convergence (均线粘合): Multiple MAs converge tightly — explosive move imminent; direction unknown until the breakout occurs.
• MA Divergence (均线发散): MAs fan out in parallel — strong trend in progress; best to trade with the direction of divergence.

A-share specific adaptation: The 60-day MA is the most watched institutional reference line. Stocks trading above their 60-day MA are in "bull territory"; those below are in "bear territory." This line frequently acts as support during uptrends and resistance during downtrends because institutional algorithms reference it.

5.2 MACD (指数平滑异同移动平均线)

Standard settings: MACD(12, 26, 9).

Key signals in the A-share context:

• Zero-line crossover: MACD histogram crossing from negative to positive indicates a shift from bearish to bullish momentum. More reliable than simple signal-line crossovers.
• Divergence (背离): Price makes a new high but MACD does not — bearish divergence. Price makes a new low but MACD does not — bullish divergence. Chen Kai emphasizes that divergence is a warning, not a trigger. It must be confirmed by price action before acting.
• Double bottom on MACD: Two consecutive bullish zero-line crossovers at a similar level — strong buy signal in A-shares.
• Red/green bar analysis (红绿柱): Shortening red bars suggest weakening bullish momentum; lengthening green bars suggest accelerating bearish momentum.

5.3 RSI (相对强弱指标)

Standard settings: RSI(14) for daily charts, RSI(6) for short-term.

Chen Kai's RSI framework for A-shares:

• RSI > 80: Overbought — but in strong uptrends, A-shares can stay overbought for weeks. Not a sell signal on its own.
• RSI < 20: Oversold — a necessary condition for bottom-fishing, but never sufficient alone.
• RSI 50 line: The trend divider. RSI consistently above 50 = uptrend. Consistently below 50 = downtrend.
• RSI divergence with price: More reliable than MACD divergence for timing entries in mean-reversion strategies.

5.4 Bollinger Bands (布林带)

Standard settings: BB(20, 2).

Application to A-shares:

• Band squeeze (缩口): Bollinger Band width narrows significantly — volatility contraction precedes expansion. A directional breakout is imminent.
• Band walk (走带): In a strong trend, price rides the upper (uptrend) or lower (downtrend) band. Do not fade a band walk — it is a sign of strength, not exhaustion.
• Mean-reversion signal: Price touches or exceeds the outer band, then re-enters. Combined with RSI divergence, this is Chen Kai's primary mean-reversion trigger.
• Band width as volatility filter: Wide bands = high volatility = trend-following environment. Narrow bands = low volatility = mean-reversion or wait.

5.5 Combining Indicators — Less Is More

Chen Kai's critical rule: Never use more than three indicators simultaneously. The purpose of indicators is to filter noise, not to add it. His recommended combinations:

• Trend-following setup: Moving averages (trend direction) + MACD (momentum confirmation) + Volume (participation confirmation).
• Mean-reversion setup: Bollinger Bands (overextension) + RSI (momentum exhaustion) + Volume (climactic selling/buying).

---

6. Trend Following Methodology

6.1 Core Principle

Trend following in Chen Kai's framework is based on a simple observation: Markets spend roughly 30% of the time in strong trends and 70% in choppy, trendless ranges. The trend follower accepts losses during the 70% in exchange for capturing large moves during the 30%.

6.2 Trend Identification

A trend is defined objectively using two criteria:

1. Price structure: Higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend).
2. Moving average alignment: MA5 > MA20 > MA60 (bullish); MA5 < MA20 < MA60 (bearish).

Both conditions must be met. A market that shows higher highs but has tangled moving averages is not yet in a confirmed trend.

6.3 Entry Rules for Trend Following

Primary entry — Breakout (突破入场):

• Price closes above the highest close of the past N days (N = 20 for daily, 10 for weekly).
• Volume on breakout day is at least 1.5x the 20-day average volume.
• The stock must already be above its 60-day MA (only trade breakouts in the direction of the larger trend).

Secondary entry — Pullback (回调入场):

• After a confirmed breakout, price pulls back to the 10-day or 20-day MA.
• The pullback occurs on declining volume (confirms healthy retracement, not distribution).
• RSI remains above 50 during the pullback.
• Entry is on the first candle that closes back in the direction of the trend.

6.4 Exit Rules for Trend Following

Stop-loss (止损):

• Initial stop: 2x ATR(14) below entry price.
• For A-shares specifically: Never set a stop more than 8% below entry — the T+1 constraint means you cannot react until the next day, so the stop must account for overnight risk.

Trailing stop (移动止损):

• Once the trade is profitable by 1x ATR, move stop to breakeven.
• Thereafter, trail the stop at 2x ATR below the highest close since entry.
• Alternatively, exit when price closes below the 20-day MA for two consecutive days.

Profit target (止盈):

• Chen Kai does not recommend fixed profit targets for trend-following trades. The trailing stop serves as the exit mechanism. "Let the market tell you when the trend is over."

6.5 A-Share Specific Considerations

• The T+1 constraint means entries must be made at the close (or in the last 15 minutes of trading) to confirm the daily signal. Entering on an intraday breakout that reverses by the close is a common and costly mistake.
• The 10% daily limit means that stop-loss orders may not be executed at the intended price if the stock opens at limit-down. Position sizing must account for this gap risk.
• In A-share bull markets, momentum is extremely strong due to retail herding behavior. Trend-following strategies perform exceptionally well. In bear markets, the long-only constraint means the system must have clear rules to move entirely to cash.

---

7. Mean Reversion Strategies

7.1 Core Principle

Mean reversion is the complementary strategy to trend following. It exploits the observation that prices, after deviating significantly from their average, tend to snap back toward that average.

7.2 When to Use Mean Reversion

• When the broader market is range-bound (Shanghai Composite oscillating within a defined channel).
• When Bollinger Band width is narrow (low volatility environment).
• As a secondary strategy during market transitions between trends.

Chen Kai explicitly warns: Do not attempt mean reversion in a strong trend. Fading a trend is the fastest way to destroy capital.

7.3 Entry Rules for Mean Reversion

Buy setup (做多条件):

1. Price touches or drops below the lower Bollinger Band (20, 2).
2. RSI(14) drops below 30 (or RSI(6) drops below 20).
3. A bullish candlestick reversal pattern forms: hammer, bullish engulfing, or morning star.
4. Volume on the reversal candle is at least 1.2x the prior candle (shows buyers stepping in).
5. The stock is above its 250-day MA (only buy oversold stocks in a structural uptrend — avoid "catching falling knives" in genuine downtrends).

Sell setup (做空条件, for futures or for exiting long positions):

1. Price touches or exceeds the upper Bollinger Band (20, 2).
2. RSI(14) rises above 70 (or RSI(6) rises above 80).
3. A bearish reversal candlestick pattern forms: shooting star, bearish engulfing, or evening star.
4. Volume expansion on the reversal candle.

7.4 Exit Rules for Mean Reversion

• Target: The 20-day MA (the middle Bollinger Band). This is the "mean" to which price is reverting.
• Stop-loss: 1.5x ATR beyond the entry signal extreme. If the Bollinger Band touch was at 10.00 and ATR is 0.50, the stop is at 10.00 - 0.75 = 9.25.
• Time stop: If the trade has not reached the target within 5 trading days, exit at market. Mean-reversion trades that do not revert quickly are often not reverting at all.

---

8. Multi-Timeframe Analysis

8.1 The Three-Screen Method (三重过滤)

Adapted from Alexander Elder's concept, Chen Kai applies a three-timeframe approach to A-share trading:

Screen	Timeframe	Purpose	Tool
Screen 1 (Strategic)	Weekly	Determine the primary trend direction	MA60, MACD zero-line
Screen 2 (Tactical)	Daily	Identify the setup and confirm conditions	Bollinger Bands, RSI, Volume
Screen 3 (Execution)	60-minute	Time the precise entry and exit	Price action, MA5/MA10 crossover

8.2 Rules of Engagement

• Only trade in the direction of Screen 1. If the weekly trend is bullish, only take long setups. If bearish, only take short setups (in futures) or stand aside (in stocks).
• Use Screen 2 to identify setups. Wait for a daily signal that is consistent with the weekly direction.
• Use Screen 3 to time entries. Once the daily setup triggers, drop to the 60-minute chart to find the lowest-risk entry point.

8.3 Timeframe Alignment

The most profitable trades occur when all three timeframes agree. Chen Kai calls this 共振 (resonance):

• Weekly uptrend + Daily pullback completing + 60-minute bullish reversal = high-probability long trade.
• Weekly downtrend + Daily rally failing + 60-minute bearish reversal = high-probability short trade (futures).

When timeframes conflict (e.g., weekly bullish but daily bearish), the correct action is to wait. Forcing a trade in ambiguous conditions violates the principle of trading only when conditions are clear.

---

9. Position Sizing and Money Management

9.1 The Foundation of Survival

Chen Kai calls position sizing "the most important and most ignored aspect of trading." A system with a 60% win rate and a 2:1 reward-to-risk ratio can still destroy an account if each trade risks 20% of capital. Conversely, a system with a 40% win rate can compound wealth steadily if each trade risks only 1%.

9.2 The Fixed Fractional Method (固定比例法)

Core rule: Risk a fixed percentage of current account equity on every trade.

Position Size = (Account Equity x Risk Percentage) / (Entry Price - Stop Price)

Recommended risk percentages:

Trader Level	Risk Per Trade	Max Concurrent Risk
Beginner	0.5%	3% total
Intermediate	1.0%	6% total
Advanced	2.0%	10% total

Example: Account equity = 500,000 RMB. Risk per trade = 1% = 5,000 RMB. Entry price = 25.00. Stop price = 23.50. Risk per share = 1.50. Position size = 5,000 / 1.50 = 3,333 shares. Round to nearest lot (100 shares in A-shares) = 3,300 shares. Capital required = 3,300 x 25.00 = 82,500 RMB.

9.3 The Kelly Criterion (凯利公式) — Theory vs. Practice

The Kelly formula for optimal bet sizing:

f = (bp - q) / b

Where f = fraction of capital, b = win/loss ratio, p = probability of winning, q = probability of losing.

Chen Kai explains that full Kelly is far too aggressive for real trading. He recommends quarter-Kelly or half-Kelly to account for:

• Estimation errors in win rate and payoff ratio.
• Serial correlation in trade outcomes (losses tend to cluster).
• The psychological impossibility of tolerating full-Kelly drawdowns (which can exceed 50%).

9.4 Scaling In and Scaling Out

Adding to winners (加仓):

• Only add to a position that is already profitable.
• Each addition should be smaller than the previous one (pyramiding): full size initial entry, half size first add, quarter size second add.
• Move the stop-loss on the entire position to breakeven or better before adding.
• Maximum three entries per position.

Scaling out (分批出场):

• Exit one-third at 2R profit (where R = initial risk amount).
• Move stop to breakeven on the remaining two-thirds.
• Exit one-third at 4R profit.
• Trail stop on the final third.

9.5 Correlation-Adjusted Sizing

Never hold more than 3 highly correlated positions simultaneously. Chinese bank stocks (e.g., ICBC, CCB, BOC, ABC) move in near-lockstep. Holding 4 bank stocks at 1% risk each is not 4% risk — it is effectively a single 4% bet on the banking sector.

---

10. Risk Control Framework

10.1 The Three Levels of Risk

Level	Scope	Max Loss	Action When Breached
Trade Risk	Single position	1-2% of equity	Automatic stop-loss execution
Daily Risk	All trades in one day	3% of equity	Stop trading for the day
Drawdown Risk	Rolling peak-to-trough	15% of peak equity	Reduce position size by 50%; at 20%, stop trading for 2 weeks

10.2 The Circuit Breaker Protocol

When account drawdown reaches 10%, implement the following:

1. Reduce position sizing by 50%. If normally risking 1% per trade, reduce to 0.5%.
2. Reduce maximum concurrent positions by 50%. If normally holding 5 positions, reduce to 2-3.
3. Require all trades to pass an additional filter. The weekly trend must be confirmed bullish (not just daily) before entering any new trade.

When account drawdown reaches 15%:

4. Close all positions.
5. Stop trading for a minimum of 5 trading days.
6. Review the trade journal to identify whether the drawdown is systemic (the market environment has changed) or behavioral (the trader is deviating from the system).

When account drawdown reaches 20%:

7. Stop trading for a minimum of 2 weeks.
8. Paper trade the system to confirm it still works before returning.
9. When returning, start at 25% of normal position size and gradually scale back up.

10.3 Gap Risk Management for A-Shares

Because A-shares are subject to T+1, a trader cannot exit a position on the same day it was entered. This creates unique overnight gap risk. Mitigation strategies:

• Never commit more than 30% of total capital to positions entered on the same day.
• Avoid entering new positions before major macroeconomic announcements, earnings reports, or PBOC policy meetings.
• The 10% daily limit means maximum single-day loss on a stock position is bounded — but for futures, limit-up/limit-down percentages vary and forced liquidation is possible.

---

11. Trading Psychology and Emotional Management

11.1 The Emotional Cycle of Trading

Chen Kai describes a recurring emotional cycle that every trader experiences:

Excitement (new trade) → Anxiety (drawdown) → Fear (stop hit) →
Frustration (consecutive losses) → Revenge (oversize next trade) →
Denial (remove stops) → Capitulation (panic sell) → Depression →
Determination (study more) → Calm (new system) → Excitement (new trade) → ...

Breaking this cycle requires awareness, journaling, and rules that override emotion.

11.2 The Four Emotional Enemies

Fear (恐惧):

• Manifests as: Hesitating on valid signals, closing winners too early, not trading at all after a losing streak.
• Antidote: Pre-defined rules that remove decision-making from the moment of execution. "If condition X, then action Y" — no discretion.

Greed (贪婪):

• Manifests as: Oversizing positions, removing stops on winning trades, refusing to take profits at system exits.
• Antidote: Fixed position sizing and mechanical exit rules. Accept that you will never capture the entire move.

Hope (希望):

• Manifests as: Holding losing positions hoping for recovery, averaging down into a declining stock.
• Antidote: Automatic stop-losses with no exceptions. "Hope is not a strategy."

Regret (后悔):

• Manifests as: Chasing trades you missed, revenge trading after losses, constantly second-guessing executed trades.
• Antidote: Accept that missed trades are a necessary cost of discipline. The next valid signal is always coming.

11.3 Developing Emotional Detachment

Chen Kai's practical recommendations:

1. Trade small enough that you do not care. If a loss causes emotional disturbance, the position is too large.
2. Track emotions in the trade journal. Record your emotional state at entry, during the trade, and at exit. Over time, patterns emerge.
3. Pre-commit to decisions. Write down your plan before the market opens. During trading hours, execute the plan — do not make new decisions.
4. Physical practice. Exercise, meditation, and adequate sleep directly improve trading performance by reducing emotional reactivity.
5. Take breaks. After every 20 consecutive trading days, take 2-3 days off. After every drawdown exceeding 10%, take at least 5 days off.

---

12. Backtesting and System Validation

12.1 Why Backtest?

Backtesting serves one purpose: to determine whether a system has a genuine statistical edge or whether past profits were due to luck. A system that has not been backtested on a statistically significant sample is a gamble, not a strategy.

12.2 Backtesting Requirements

• Minimum 200 trades in the backtest sample. Fewer than this and statistical measures are unreliable.
• Multiple market regimes: The data must include at least one full bull market, one full bear market, and one extended sideways range.
• For A-shares: Use at least 5-8 years of data. For Chinese futures, at least 3-5 years.
• Transaction costs: Include commissions (typically 0.025% per trade for A-shares), stamp duty (0.1% on sells), and slippage (assume 0.1% for liquid large-caps, 0.3% for small-caps).

12.3 Key Metrics to Evaluate

Metric	Acceptable Range	Ideal Range
Win Rate	> 35% (trend) / > 55% (reversion)	> 45% (trend) / > 65% (reversion)
Profit Factor	> 1.5	> 2.0
Average Win / Average Loss	> 2.0 (trend) / > 0.8 (reversion)	> 3.0 (trend) / > 1.2 (reversion)
Maximum Drawdown	< 25%	< 15%
Sharpe Ratio (annualized)	> 0.8	> 1.5
Number of Consecutive Losses	< 10	< 7
Recovery Factor (net profit / max DD)	> 3.0	> 5.0

12.4 Avoiding Overfitting (过度拟合)

Overfitting is the greatest danger in backtesting. Chen Kai's rules:

1. Parameter robustness test: The system should be profitable across a range of parameter values, not just one "optimized" setting. If MA(20) works but MA(18) and MA(22) fail, the system is overfit.
2. Out-of-sample testing: Divide data into two halves. Optimize on the first half, test on the second. If performance degrades dramatically, the system is overfit.
3. Walk-forward analysis: Continuously re-optimize on a rolling window and test on the next period. This simulates real-time trading more accurately.
4. Fewer parameters: Every additional parameter is an opportunity to overfit. A system with 2-3 parameters is almost always more robust than one with 8-10.
5. Logic before data: The system should be based on a sound market principle (trend persistence, mean reversion, etc.), not on a data-mined anomaly.

---

13. Trade Journaling

13.1 Why Journal?

The trade journal is the trader's mirror. Without it, self-assessment is based on memory, which is selective and biased. Traders remember their best and worst trades but forget the mediocre majority that determines long-term results.

13.2 What to Record

Per-trade data:

Field	Example
Date/Time	2019-03-15 14:45
Instrument	600519 (Kweichow Moutai)
Direction	Long
Entry Price	780.00
Stop-Loss	748.00
Target	Trailing stop at 20-day MA
Position Size	200 shares
Capital Risked	6,400 RMB (0.8% of equity)
Rationale	Weekly uptrend, daily pullback to MA20, RSI bounced from 45
Emotional State at Entry	Calm, confident in setup
Exit Price	825.00
Exit Date	2019-04-02
Profit/Loss	+9,000 RMB (+1.12R)
Lessons	Held through initial drawdown; system worked as designed

Weekly review: Summarize win/loss statistics, largest winner, largest loser, any rule violations, emotional patterns observed.

Monthly review: Calculate running Sharpe ratio, drawdown, profit factor. Compare actual performance to backtest expectations. Identify whether any environmental shift (market regime change) has affected performance.

13.3 How to Use the Journal

• After 50+ trades, compute statistics and compare to backtest results. Significant divergence indicates either a market regime change or execution errors.
• Identify your most profitable setups and your least profitable ones. Gradually allocate more capital to what works and eliminate what does not.
• Track rule violations. If you violate your system rules on more than 10% of trades, the problem is behavioral, not systematic. Return to paper trading.

---

14. Behavioral Discipline

14.1 The 10 Rules of Discipline

1. Never enter a trade without a predetermined stop-loss. No exceptions.
2. Never move a stop-loss further from the entry. You may tighten it, never widen it.
3. Never add to a losing position. Averaging down is the fastest path to account destruction.
4. Never risk more than 2% of account equity on a single trade.
5. Never hold more than 5 uncorrelated positions simultaneously (for an account under 1 million RMB).
6. Always execute the system's signals. Skipping signals because of fear or discretion destroys the statistical edge.
7. Never trade to recover losses. Revenge trading compounds drawdowns.
8. Review the trade journal weekly. Consistency in review produces consistency in execution.
9. Take a break after 3 consecutive stop-losses. Do not trade the next day. Review the journal to determine if the losses are normal variance or a sign of a market regime change.
10. Accept that losing trades are a cost of doing business. A 45% win rate means 55 losses per 100 trades. Each loss is an investment in the statistical edge, not a failure.

14.2 Pre-Market Routine

Chen Kai prescribes a specific pre-market routine:

1. Review overnight news and global markets (15 minutes): U.S. markets, Hong Kong pre-market, commodity prices, policy announcements.
2. Check existing positions (10 minutes): Are any stops likely to be hit at the open? Any positions approaching targets?
3. Scan for new setups (20 minutes): Run screens for stocks meeting entry criteria. Prepare a watchlist of no more than 5 candidates.
4. Write the plan (10 minutes): For each candidate, write: Entry price, stop-loss, position size, target. For existing positions, write: Adjustment levels or exit conditions for today.
5. Wait for the open (5 minutes): No action in the first 15 minutes of trading (9:30-9:45). The opening auction creates artificial volatility.

---

15. Common Mistakes

15.1 The Thirteen Deadly Errors

#	Mistake	Why It Kills
1	No stop-loss	A single catastrophic loss can erase months of gains
2	Averaging down	Throwing good money after bad; the position grows as the thesis deteriorates
3	Oversizing	Even a correct trade can cause devastating drawdown if too large
4	Trading without a plan	Every decision becomes emotional when there is no predetermined framework
5	System hopping	Abandoning a valid system during a normal drawdown; never allowing an edge to manifest
6	Indicator overload	More indicators create more contradictions, leading to paralysis or cherry-picking
7	Ignoring the trend	Buying "cheap" stocks in downtrends; shorting "expensive" stocks in uptrends
8	Chasing limit-up (追涨停)	Buying stocks at the 10% daily limit hoping for continuation; high risk, illiquid exit
9	Full-position trading (满仓操作)	Putting 100% of capital in one trade or one sector; no margin of safety
10	Trading on tips	Other people's analysis is not your edge; you will not know when they change their mind
11	Ignoring transaction costs	Frequent trading in A-shares (stamp duty + commission) erodes returns rapidly
12	Neglecting the macro environment	Trading individual stocks without awareness of market-wide conditions (e.g., PBOC tightening)
13	Refusing to take time off	Burnout degrades decision quality; taking breaks is a risk management tool

---

16. Complete Trade Lifecycle Example

16.1 Setup: Long Trade in A-Share Market

Date: Wednesday, March 13, 2019

Instrument: 000858 (Wuliangye, 五粮液)

Account equity: 800,000 RMB. Risk per trade: 1% = 8,000 RMB.

16.2 Screen 1 — Weekly Analysis

• Weekly MA20 > MA60, both rising. Weekly MACD above zero line.
• Conclusion: Primary trend is bullish. Only long trades permitted.

16.3 Screen 2 — Daily Analysis

• Price has pulled back from a recent high of 78.50 to 72.80 over 5 days.
• Price has touched the 20-day MA at 72.50 and bounced.
• Volume on the pullback has been declining (healthy retracement).
• RSI(14) has dropped to 48 and is turning up.
• MACD histogram has decreased but remains above zero.
• Conclusion: Valid pullback entry setup. Wait for confirmation on the 60-minute chart.

16.4 Screen 3 — 60-Minute Execution

• At 14:00, the 60-minute chart shows MA5 crossing above MA10.
• A bullish engulfing candle has formed on the 60-minute chart.
• The low of the pullback is 72.30.

16.5 Entry Calculation

• Entry price: 73.20 (current ask price at 14:30 confirmation).
• Stop-loss: 72.30 - (0.5 x ATR) = 72.30 - 1.00 = 71.30. Round to 71.00 for a clean level. Risk per share: 73.20 - 71.00 = 2.20.
• Position size: 8,000 / 2.20 = 3,636 shares. Round to 3,600 shares (36 lots of 100).
• Capital deployed: 3,600 x 73.20 = 263,520 RMB (33% of account).
• Action: Buy 3,600 shares of 000858 at 73.20 at 14:35.

16.6 Trade Management

• Day 1 (Thursday): Price opens at 73.80, rises to 74.50, closes at 74.20. Unrealized profit: +3,600 RMB. No action — stop remains at 71.00.
• Day 3 (Monday): Price rises to 76.00. Profit = 1R (2.20 x 3,600 = 7,920). Move stop to breakeven (73.20).
• Day 7: Price reaches 79.50. Profit > 2R. Exit 1,200 shares at 79.50. Realized: 1,200 x (79.50 - 73.20) = 7,560 RMB.
• Day 12: Price continues to 82.00. Exit 1,200 shares at 82.00. Realized: 1,200 x (82.00 - 73.20) = 10,560 RMB.
• Day 18: Price peaks at 84.50, then reverses. Trailing stop triggers at 81.00 (2x ATR below 84.50). Exit final 1,200 shares at 81.00. Realized: 1,200 x (81.00 - 73.20) = 9,360 RMB.

16.7 Result Summary

Metric	Value
Total Profit	27,480 RMB
Return on Capital Risked	27,480 / 8,000 = 3.44R
Holding Period	18 trading days
Max Adverse Excursion	-1,080 RMB (Day 1 intraday low at 72.90)
Max Favorable Excursion	+40,680 RMB (at peak 84.50)
Capture Ratio	27,480 / 40,680 = 67.5% of the move

18. Key Principles

18.1 On System Design

1. "A complete trading system must answer six questions: What to trade, which direction, when to enter, when to exit, how much to risk, and how to manage the trade. If any answer is missing, the system is incomplete."

2. "Position sizing is not an afterthought — it is the single most important component of any trading system. Most traders spend 90% of their time on entries and 10% on everything else. The ratio should be reversed."

3. "Simplicity is the ultimate sophistication in trading. A three-indicator system that you understand completely will always outperform a ten-indicator system that you only partially understand."

4. "System coherence matters more than system complexity. Every component must share the same philosophical foundation — trend-following or mean-reversion, not a confused mixture of both."

18.2 On Risk Management

5. "The first rule of trading is not to make money — it is to not lose money. Survival is the prerequisite for all future profits."

6. "If you cannot quantify the risk of a trade before you enter it, you have no business taking it. Risk first, reward second — always."

7. "A 50% loss requires a 100% gain to recover. A 20% loss requires only a 25% gain. This asymmetry is the mathematical reason why protecting capital is more important than growing it."

8. "Circuit breakers are not signs of weakness — they are signs of professionalism. The ability to stop trading when conditions deteriorate separates survivors from casualties."

18.3 On Psychology

9. "Trading is 30% technique and 70% psychology. You can give two traders the same system with a proven edge, and one will make money while the other loses. The difference is entirely in execution discipline."

10. "The market is a mirror. It reflects your fears, your greed, your impatience, and your ego back at you — and charges you money for each reflection."

11. "The greatest enemy in trading is not the market, not other traders, not even bad luck. It is your own inability to follow rules that you yourself created."

12. "Boredom is the hallmark of professional trading. If trading is exciting, you are doing it wrong."

18.4 On the Journey

13. "Every professional trader has a graveyard of blown accounts in their past. The difference between them and those who quit is that they treated each failure as tuition, not as a verdict."

14. "There are no shortcuts on the path to trading mastery. The five stages cannot be skipped. You must earn each transition through real experience, real losses, and real self-examination."

15. "Trading is ultimately a practice of self-cultivation (修行). The market will not change for you. You must change for the market. This process of change — of learning to control fear, greed, and ego — is the real path of trading."

16. "The goal is not to become a trader who never loses. The goal is to become a trader who loses correctly — small, planned, and without emotional disruption."

18.5 On A-Share Markets Specifically

17. "The T+1 rule is not a handicap — it is a gift. It forces you to think before you act, to commit to your analysis, and to avoid the noise of intraday fluctuations."

18. "In a market dominated by retail investors, the trend-following edge is stronger than in institutional markets. Retail herding creates trends that are more persistent and more extreme than efficient market theory predicts."

19. "The most dangerous moment in A-shares is when everyone around you is making money. That is when discipline matters most, because it is when the temptation to abandon your system and chase momentum is strongest."

20. "Learn one market deeply before attempting to trade multiple markets. Master A-shares, then consider futures. Master futures, then consider options. Breadth without depth is a recipe for losses across multiple instruments."

---

End of implementation specification.