← Back to Blog · 2026-08-31 · 6 min read · Strategy Case Study

Imagine watching a market go parabolic. It doubles, then triples in a matter of months, driven by a genuine global supply crunch. Then, within a few short weeks, it loses half its value in a violent, policy-driven crash. If you were trading China futures in late 2021, you didn’t have to imagine it—you lived it through the Chinese thermal coal market.

For global retail traders, the 2021 thermal coal squeeze is a masterclass in both the power and the peril of trading Chinese commodity futures. It’s a textbook example of why predicting markets is a fool's errand, but reacting to them with a robust trend-following system can yield exceptional results—provided you manage your risk. Let’s break down how a classic trend-following strategy navigated this historic squeeze, and what practical lessons you can apply to your own trading today.

The Anatomy of the 2021 Thermal Coal Squeeze

In 2021, as the global economy roared back to life post-COVID, energy demand skyrocketed. China, heavily reliant on coal for power generation, faced severe supply constraints. Domestic production struggled to keep up, and import hurdles exacerbated the shortage. The result was a relentless, parabolic rally in thermal coal prices. We saw the market move from historically average levels to unprecedented, staggering highs in a matter of months.

But the defining characteristic of the Chinese commodity markets is the heavy hand of exchange intervention. When prices become socially or economically destabilizing, exchanges step in. They hike margins, widen daily price limits, and sometimes restrict opening new positions altogether. When the government signaled an all-out push to stabilize coal prices and secure winter heating supplies, the market collapsed. We saw consecutive limit-down moves—price drops so severe that trading effectively halted for the day.

If you were holding a short position into the rally, you were obliterated. If you were holding a long position into the crash, you were trapped. This is exactly the environment where trend-following systems shine: they don’t care about the news, they only care about price action and risk management.

Contract Specs & The Reality of Trading Chinese Commodities

Before we look at the strategy, let’s talk mechanics. You can’t trade a system if you don’t know the instrument. The benchmark thermal coal futures contract in China is traded on the Zhengzhou Commodity Exchange (ZCE). The ticker is ZC.

Why does this matter? Because a tick value of 20 RMB means a 10-point move equals 1,000 RMB per lot. During the 2021 squeeze, daily ranges expanded massively. A system that ignores volatility and trades standard lot sizes would have blown up an account during a single limit-down day. While thermal coal is now heavily restricted for speculative retail trading, the exact same mechanics apply when you trade rebar/iron ore or other highly liquid Chinese industrial commodities.

How a Classic Trend-Following System Handled the Chaos

A standard trend-following system doesn’t try to pick the top or bottom. It waits for the market to prove itself, gets on board, and uses trailing stops to ride the wave. Here is how a Donchian channel breakout system combined with ATR (Average True Range) position sizing would have handled the 2021 thermal coal market.

1. Entry: Riding the Breakout

The system uses a 20-day Donchian channel for entries. When the price closes above the highest high of the previous 20 days, you go long. During the early stages of the 2021 rally, the market was consistently making higher highs. The system would have triggered a long entry early in the trend.

The beauty of this approach is that it completely ignores the “this market is overbought” noise. As a trader, your job isn’t to assess fair value; it’s to assess momentum. The system stayed long because the price kept breaking out.

2. Position Sizing: Surviving the Volatility

This is where retail traders usually fail. They trade one lot because their account size dictates it, or worse, they max out their leverage. A professional trend-following system uses volatility-adjusted position sizing.

Here is the concrete logic:

• Account Risk: 1% of total account equity.
• Volatility Metric: 14-day ATR (Average True Range). Let’s say the ATR was 30 RMB.
• Stop Distance: 2x ATR = 60 RMB.
• Stop Value per Lot: 60 RMB * 100 tons = 6,000 RMB.
• Position Size: (1% Account Equity) / 6,000 RMB.

As the thermal coal market went parabolic, the ATR exploded. A 30 RMB ATR might have become a 100 RMB ATR. Because the position sizing formula divides your risk by the ATR, the system automatically reduces the number of lots you trade as volatility spikes. You trade fewer lots, but your dollar risk remains exactly the same. This is how you survive the massive expansion in daily ranges without blowing your account.

3. Exits: The Trailing Stop Dilemma

For exits, the system uses a trailing stop, such as a 10-day Donchian channel low or a Chandelier exit (highest high since entry minus 3x ATR). As the market rocketed higher, the trailing stop trailed up.

When the policy intervention hit and the market crashed, it fell fast. It didn’t slowly bleed lower; it gapped down and hit limit-down moves. A trend follower would not have exited at the exact top. The trailing stop would have been triggered somewhere in the middle of the crash. You would have given back a portion of your open profits, but you would have locked in the majority of the trend.

The goal of a trend follower isn’t to maximize profit on every trade. It’s to minimize regret and survive the inevitable whipsaws and limit-down moves.

Practical Application: Adapting to Today's Markets

You might be thinking, “That’s a great history lesson, but thermal coal is heavily restricted now. How does this help me today?” The exact same framework applies to any highly liquid, trending Chinese commodity futures market. Let’s look at how you apply this to trade rebar/iron ore, which are the lifeblood of Chinese infrastructure and offer massive liquidity.

Rebar (traded on the Shanghai Futures Exchange, SHFE) and Iron Ore (Dalian Commodity Exchange, DCE) both feature contract multipliers of 10 tons/lot. They are notoriously volatile and highly responsive to macroeconomic policy shifts from Beijing.

If you are deploying a trend-following system on these markets today, the rules are identical:

• Wait for the breakout: Don't anticipate the trend. Wait for the 20-day high/low to trigger.
• Size for the volatility: Calculate your ATR. If iron ore is swinging 20 points a day, your lot size must be smaller than if it’s swinging 5 points a day. Never use static lot sizing.
• Respect the exchange risk: Always check exchange notices. If margins are being hiked, it’s a sign that volatility is expected to surge. Your ATR sizing will handle this naturally, but you must be aware that gap risks (limit up/down) are higher.

The Takeaway for Global Traders

The 2021 thermal coal squeeze proved once again that markets can stay irrational longer than you can stay solvent—if you are fighting the trend. By using mechanical breakout entries, volatility-based position sizing, and unemotional trailing stops, a trend-following system navigates the chaos for you. It removes the panic of the rally and the fear of the crash.

Trading China futures offers incredible opportunities for momentum and trend, but it demands strict discipline. You need a system that can handle the violent expansions in volatility without breaking your equity curve.

If you have a trend-following system or any mechanical strategy you want to put to the test, theory only gets you so far. You need to run it against real market conditions. You can test your system on a real-data China futures evaluation at XS Select, with challenges starting from $29. We are a new platform, so we don't have a hall of fame full of millionaires yet—but we offer the objective, simulated environment you need to prove your edge before you put real capital on the line. Build your track record, refine your risk management, and let the data do the talking.