← Back to Blog · 2026-10-19 · 7 min read · Market Preview

Most global retail traders approach China's commodity markets with a directional bias. They look at the Shanghai Futures Exchange (SHFE) or the Dalian Commodity Exchange (DCE) and ask, "Is crude oil going up or down?" "Will thermal coal rally again?" While directional trading has its place, it exposes you to the full volatility of a market driven by policy shifts, supply chain bottlenecks, and macroeconomic swings that often defy Western technical analysis patterns.

There is a more nuanced, often more consistent way to engage with Chinese energy markets: basis trading. By trading the spread between the spot price and the futures price, or between two different futures contracts, you neutralize a significant portion of directional risk. You are no longer betting on the absolute price of oil or gas; you are betting on the relationship between them. This article breaks down how to navigate spot vs. futures spreads in China's energy sector, providing concrete rules, contract specifications, and the logic behind the strategies.

Understanding the Basis: Why It Matters in China

The "basis" is simply the difference between the spot price of a commodity and the price of its futures contract. In efficient markets, this spread converges as the futures contract approaches expiration. However, in China, this spread is often distorted by structural factors that global traders frequently overlook.

Unlike US markets, where the basis is largely driven by interest rates and storage costs, the Chinese basis is heavily influenced by government policy, regional logistics, and state-owned enterprise (SOE) inventory behavior. For example, in the energy sector, particularly with crude oil and fuel oil, the local spot prices in Shandong (a major refining hub) can diverge significantly from the international Brent/WTI benchmarks due to import quotas and domestic refining margins.

When you trade the basis, you are essentially trading these structural inefficiencies. If the futures price is too high relative to the spot price (a condition known as contango), you might sell the futures and buy the spot (if you have physical access) or sell the near-month and buy the far-month. If the futures are too low (backwardation), you do the opposite. The key is identifying when the spread has deviated from its historical mean due to temporary shocks rather than fundamental structural changes.

Key Energy Contracts and Specifications

To trade basis effectively, you must know the instrument you are trading. Precision is non-negotiable. Here are the critical specs for the primary energy contracts on Chinese exchanges that are relevant to basis strategies.

Crude Oil (INE - Shanghai International Energy Exchange)

Contract Code: SC

Trading Unit: 1,000 barrels per lot

Minimum Tick: 0.1 CNY/barrel (100 CNY per tick)

Margin Requirements: Vary by volatility, typically 10-15% of contract value.

Note: This is an internationalized contract, meaning it can be traded by foreign investors, but it is priced in Chinese Yuan (CNY). This adds a currency risk layer that must be hedged or accounted for in your P&L.

Fuel Oil (SHFE)

Contract Code: FU

Trading Unit: 10 metric tons per lot

Minimum Tick: 1 CNY/ton (10 CNY per tick)

Note: Fuel oil is highly correlated with crude oil but often moves differently due to shipping demand and specific refining outputs. The basis here is sensitive to global shipping cycles.

Shale Gas/LNG (Not directly traded as a spot-futures pair for retail, but relevant via proxy)

While there is no direct retail LNG futures contract for global traders, the energy complex is interconnected. Traders often use the correlation between Crude Oil (SC) and Fuel Oil (FU) or even Asphalt (BU) to gauge the health of the refining crack spread, which indirectly informs the basis on energy inputs.

Strategy 1: The Mean-Reversion Spread

This is the bread and butter of basis trading. The logic is simple: spreads tend to revert to their historical average. However, "historical average" is a lazy term. You need to calculate the z-score of the current spread relative to a rolling 60-day or 90-day window.

Let's look at the spread between the nearest-month Crude Oil futures (SC near) and the second-nearest month (SC next). In times of stable supply, this spread might hover around a small contango due to storage costs. If a sudden supply disruption hits the Middle East, the near-month might spike, widening the spread. If your analysis suggests the disruption is temporary (e.g., a short-term geopolitical scare rather than a long-term infrastructure failure), you might sell the near-month and buy the next-month, betting the spread will narrow.

• Entry Rule: Enter when the spread z-score exceeds +2.0 or -2.0 standard deviations from the 90-day mean.
• Stop Loss: Set a stop loss at 2.5 standard deviations. If the spread keeps widening, your thesis is wrong.
• Target: Exit when the spread returns to the mean (z-score of 0).

This strategy works best in range-bound markets. It struggles during regime changes. How do you know if a regime change is happening? Look at inventory data from the National Bureau of Statistics (NBS) and shipping manifests. If inventories are critically low across all months, the backwardation may persist, and mean reversion will fail.

Strategy 2: The Event-Driven Basis Adjustment

China's energy market is heavily influenced by regulatory announcements. A prime example is the environmental crackdowns that have periodically slowed industrial production, reducing energy demand. Conversely, stimulus packages aimed at infrastructure can boost demand for energy-intensive commodities.

Consider the 2021 energy crisis, where coal prices surged due to supply constraints and demand recovery. While coal is not strictly "energy" in the same sense as oil, the ripple effects were felt across the entire energy complex. Traders who understood the basis dynamics could have hedged their exposure to crude oil by adjusting their positions in related energy products or by trading the calendar spreads within the crude oil complex itself.

When a major policy announcement is imminent—such as a potential adjustment to VAT rates on energy imports or a new cap on refining margins—the basis often widens in anticipation. Smart traders use this volatility to enter spread positions. If the policy is expected to increase immediate supply (e.g., releasing strategic reserves), the near-month spot price might drop relative to the far-month. You would sell the spot-equivalent (or near-month futures) and buy the far-month.

The key here is timing. Policy shocks are sharp but often short-lived. The basis adjusts quickly, then stabilizes. Trading the basis during these events requires faster execution and tighter risk management than mean-reversion strategies.

Execution Challenges and Risk Management

Trading basis in China comes with unique operational challenges. First, liquidity varies significantly across contract months. The front-month contract is usually highly liquid, but the second, third, and fourth months can have thin order books. Slippage can eat into your spread profits. Always check the open interest and volume before entering a spread trade. If the combined open interest of the two legs is low, stay out.

Second, margin requirements for spread trades may differ from outright positions. Some brokers offer margin reductions for offsetting positions (e.g., long one month, short another), but this is not universal. You must confirm with your broker whether you can utilize spread margin relief. If not, your capital efficiency will drop, and you may need more capital to hold the position.

Third, currency risk. Since Chinese futures are priced in CNY, a sudden depreciation of the Yuan can impact your P&L when converted back to your base currency. While this affects all China futures traders, it is particularly relevant for spread traders who might be running smaller nominal profits per lot. You can hedge this with CNY/USD forwards, but for most retail traders, it is simply a risk factor to monitor.

Practical Application: A Step-by-Step Workflow

Here is a practical workflow for implementing a basis trading strategy in China's energy sector:

1. Data Collection: Gather daily closing prices for spot benchmarks (e.g., Shandong fuel oil spot, NE Asia LNG spot) and futures contracts (SC, FU). Calculate the current spread.
2. Historical Analysis: Plot the 1-year spread chart. Identify the mean, standard deviation, and seasonal patterns. Note that energy spreads often have seasonal components (e.g., higher demand in winter).
3. Signal Generation: Wait for the spread to deviate significantly from the mean. Use a z-score filter. Ensure the deviation is not caused by a fundamental shift (check news, inventory data).
4. Position Sizing: Calculate the value of one tick for both legs. Ensure your position size is balanced so that a 10% move in either leg doesn't blow up your account. For example, if SC and FU have different multipliers, adjust your lot sizes to be delta-neutral or beta-neutral.
5. Execution: Use limit orders to enter both legs. Do not use market orders for illiquid months. Try to execute both legs simultaneously to avoid legging risk.
6. Monitoring: Track the spread daily. If the spread moves against you by 1.5 standard deviations, reassess. If it hits your stop, exit both legs immediately.

Why You Should Test Your System Before Going Live

Basis trading is not a "set and forget" strategy. It requires constant monitoring of spreads, inventory data, and policy news. The margin for error is smaller than in directional trading because the profit per lot is often smaller, requiring higher volume or leverage to achieve meaningful returns. This increases the risk if your risk management is flawed.

Before deploying real capital into China's energy markets, you need to validate your system under real market conditions. Data backtesting is useful, but it often fails to capture slippage, liquidity gaps, and execution errors. You need a platform that provides real data, real-time spreads, and realistic margin requirements.

This is where a rigorous evaluation process becomes essential. You can test your basis trading logic on a real-data China futures evaluation at XS Select (from $29). This allows you to trade with virtual capital but under strict rules that mimic real market constraints, helping you identify weaknesses in your spread strategy before you risk your own money. In the volatile world of Chinese commodity futures, preparation is not just a virtue; it is your primary defense.

Remember, the goal of basis trading is not to predict the market, but to exploit the inefficiencies within it. By focusing on the relationship between prices rather than the absolute level, you can navigate China's energy sector with greater precision and less stress. Keep your rules strict, your data clean, and your risk management tight.