Order Execution Management Systems (EMS)

Learn commodities trading in China

## Outline

1. What “commodities trading in China” actually means

1.1 Spot, futures, and paper profits—what you’re really trading

1.2 Why China matters for global commodity prices

1.3 The main Chinese exchanges you’ll hear about

2. The structure of commodity markets in China

2.1 Exchange trading, OTC, and how prices get discovered

2.2 Daily settlement, margins, and the “cash flow” part of futures

2.3 Contracts, tick size, and contract roll basics

3. Products you’ll most often trade

3.1 Energy: oil, refined products, and related contracts

2. Precious and base metals: how liquidity tends to behave

3.3 Agricultural and soft commodities: seasonality and storage realities

3.4 Industrial inputs: what drives moves besides the weather

4. The mechanics: account setup, trading permissions, and funding

4.1 Domestic versus international participation

4.2 Choosing a broker/FX path without getting lost

4.3 Margin, risk limits, and what happens on limit days

5. Risk management that fits Chinese futures

5.1 Margin calls, forced liquidations, and practical buffers

5.2 Position sizing and contract selection

5.3 Roll risk, gap risk, and event risk

6. Learning path: from basics to actually placing trades

6.1 Study order: market structure → products → execution

6.2 Backtesting in a market with contract changes

6.3 Journaling and measuring errors cheaply

7. Trading strategies people use in China (and where they go wrong)

7.1 Trend and range approaches

7.2 Spread trading and calendar effects

7.3 Seasonal patterns in agricultural contracts

7.4 News and macro: how to avoid reacting late

8. Data and tools: what matters and what’s mostly noise

8.1 Price, volume, open interest, and depth

8.2 Funds flow signals versus “headline noise”

8.3 Order book realities and slippage

8.4 Currency and conversion issues for international traders

9. Regulations, compliance, and common gotchas

9.1 Exchange rules you should read (yes, read them)

9.2 Position limits, risk controls, and reporting

9.3 Take care with tax, residency, and recordkeeping

10. Costs, fees, and the long game

10.1 Commission, exchange fees, and margin-related costs

10.2 The bid-ask tax: slippage and roll execution

10.3 Keeping performance records that survive scrutiny

11. Real-world learning scenarios

11.1 A beginner’s first 30 days plan

11.2 What changes after your first losing streak

11.3 How a small protected strategy might look

12. Choosing a learning approach: classroom, simulation, or mentor

12.1 Demo accounts and paper trading that actually help

12.2 Coaching without falling for “signals”

12.3 Building competence independently

13. A practical checklist before your first trade

13.1 You understand contract specs and settlement

13.2 Your plan covers entry, risk, and exit

13.3 You know the fee and margin impact

13.4 You can explain why you’re trading

## Article

What “commodities trading in China” actually means

When people say they want to “learn commodities trading in China,” they usually mean one of two things: they want to trade Chinese commodity futures, or they want to understand how commodities are priced and sold through Chinese market channels. In practice, most retail learners end up focusing on exchange-traded futures, because that’s where the price discovery happens in a standardized format and where liquidity shows up in a way you can track.

Chinese commodity trading also has a particular vibe: lots of contracts, frequent activity, and a system that runs on exchange rules rather than informal agreements. Even if you’re experienced elsewhere, you’ll still need to get used to local contract specs, margin routines, and the way trading holidays and settlement work. Think of it less like learning a new sport and more like switching stadiums—same game, different rules for the sidelines.

Spot, futures, and paper profits—what you’re really trading

Spot trading is about immediate delivery and payment. Futures trading is about agreeing to buy or sell an asset at a set price on a future date. For learners, the important part is that most people don’t take delivery. They close or roll positions before expiration. That means your real performance is driven by price changes, contract specifications, and execution costs—not by whether you can physically receive copper or store soybeans in a warehouse.

Paper profits can be seductive, especially when you see a chart move in your favor. But in futures, “profit” can also mean you’re currently above your margin requirement. If price swings the other way, your account may shrink fast, and you may need to add funds. You can be right directionally and still lose through timing and risk control. That’s the unglamorous part learners often meet on day one.

Why China matters for global commodity prices

China is a major consumer and importer for many commodities: industrial metals, energy products, and several agricultural inputs. Because of that scale, Chinese demand patterns can move global expectations. Even if you trade Chinese exchange contracts, you’ll still be influenced by broader global factors—shipping rates, geopolitical supply disruptions, U.S. dollar moves, and global manufacturing surveys.

One example that shows up every year: agricultural markets can react to weather headlines, but the follow-through depends on import demand and storage dynamics. China’s policy and consumption patterns can change the tempo of expectations quickly.

The main Chinese exchanges you’ll hear about

In China, the most commonly referenced futures venues include the Dalian Commodity Exchange (DCE), Shanghai Futures Exchange (SHFE), and Zhengzhou Commodity Exchange (CZCE). Each tends to have a focus area. DCE is often associated with certain agricultural and industrial commodities; SHFE is frequently discussed for metals; and CZCE is known for grains and related products.

You’ll also hear the China Financial Futures Exchange (CFFEX) for financial futures, but if your goal is “commodities trading,” you’ll mostly live in the first three. Even then, it helps to understand cross-asset impacts, because a move in energy can feed into freight costs and industrial demand, which then shows up in other markets.

The structure of commodity markets in China

Commodity futures trading in China runs through a clear infrastructure: contracts are listed on exchanges, trades occur through trading systems, and daily pricing is handled via settlement processes. That matters for learners because it shapes what you see on your screen and how your account behaves.

Unlike some retail-friendly markets overseas where you can “set and forget,” futures trading is closer to managing cash flow and risk on a clock. You don’t just decide your trade idea; you decide whether your account can survive the next wobble.

Exchange trading, OTC, and how prices get discovered

Most visible commodity futures are exchange-traded, meaning standard contract terms, centralized trading, and transparent price references. OTC (over-the-counter) deals exist in many markets, but they’re usually less convenient for learners. OTC also adds counterparty risk and less transparent pricing.

In exchange trading, price discovery comes from the auction process and the fact that participants—producers, traders, hedgers, and speculators—are all competing for execution. That’s why you can’t treat prices like purely “technical chart lines.” When many participants believe volatility will rise, spreads widen, liquidity can change fast, and small news can generate disproportionate moves.

Daily settlement, margins, and the “cash flow” part of futures

Futures accounts usually operate on margin, which is collateral required to hold positions. In many systems, profits and losses are adjusted daily. That means you might see your equity move each trading day based on the settlement price, not simply based on the point you entered.

So the learning point is practical: you can’t manage the trade only with “entry and exit price.” You also manage your margin buffers, because a sudden adverse move can trigger additional margin requirements. If you can’t meet them, positions can be reduced or closed automatically, regardless of your original thesis.

Contracts, tick size, and contract roll basics

Each futures contract has specs: contract size, tick size (the smallest price move), trading hours, last trading day, and settlement method. The tick size changes how “value per tick” behaves, which affects your stop distance and the probability of being stopped out due to normal noise.

A second recurring concept is the roll. You’ll often start a trade using a near-month contract, then later shift exposure to a later maturity as expiration approaches. That creates roll yield effects if your positions earn or lose value when you switch contracts due to the shape of the futures curve. Learners frequently ignore this and then wonder why their P&L doesn’t match their chart.

Products you’ll most often trade

Commodity futures in China are best learned by categories. If you try to learn everything at once, you’ll end up memorizing contract names without understanding what actually drives them.

Let’s sort the common buckets and highlight what tends to move each one. This isn’t a guarantee of behavior—markets love surprising people—but it helps you form better hypotheses.

Energy: oil, refined products, and related contracts

Energy contracts often track global crude dynamics, refined product demand, and supply conditions. Indicators include crude inventory trends, refinery utilization, shipping and logistics constraints, and sometimes government policy signals that affect domestic supply.

However, energy is also tightly linked to the broader macro environment. When the U.S. dollar strengthens, commodities can struggle; when industrial activity improves globally, demand expectations rise. For learners, the temptation is to react to one headline. More useful is to check whether the market already “priced in” that headline. If it did, you can see a market move briefly and then reverse, like it never heard the news.

Precious and base metals: how liquidity tends to behave

Metals—both base and precious—are popular because liquidity can be strong and because these markets attract hedgers and speculators consistently. SHFE-associated metal contracts often require attention to contract rolls, because metals can have significant carrying costs and curve structures that vary over time.

Metal prices are influenced by mine supply, scrap supply, construction and manufacturing demand, and financing conditions. Industrial metals in particular also respond to credit and infrastructure expectations. Learners who only watch weather or one-time supply shocks without considering demand cycles tend to get whipsawed.

Agricultural and soft commodities: seasonality and storage realities

Agricultural commodities come with seasonality and logistical constraints. Crop yields, planting timelines, harvest prospects, and weather risks matter, but there’s more. Storage costs, import policy, and processing margins can swing the market even if the crop yield story stays unchanged.

Soft commodity prices often show patterns that appear “technical” on charts, but those patterns reflect real-world storage and demand timing. That’s why it helps to keep a simple calendar. If you trade soy-related contracts, you should know when major harvest risks typically hit the conversation and when downstream demand tends to roll forward.

Industrial inputs: what drives moves besides the weather

Beyond the common buckets, there are industrial inputs like chemicals and building-material-related contracts. These can be tied to manufacturing output, construction cycles, and commodity input costs.

A mistake learners make here is assuming industrial contracts behave like metals or like agriculture. They don’t. The drivers can be closer to production and processing margins, policy-driven demand, and feedstock substitution. If your strategy is built for one behavior (say, trend-like movement), but the market is moving in spreads due to processing constraints, your results will look oddly random.

The mechanics: account setup, trading permissions, and funding

Before you trade in China, you’ll need to figure out how you’ll access the market. This is less glamorous than chart setup, but it’s the part that can eat weeks if you guess wrong.

Most learners can’t personally access every exchange directly. They rely on brokers or trading access providers. If you’re international, you also need a clear plan for currency conversion and compliance with your local financial rules.

Domestic versus international participation

Domestic participants may use local brokerage accounts connected to Chinese exchange systems. International participation often works through brokers that offer access to Chinese futures, which may involve additional steps like account approval, risk disclosures, and margin funding in a supported currency.

The practical point: the market is standardized, but access isn’t. Your ability to trade certain contracts, your margin requirements, and your order handling can differ depending on the access route you take.

Choosing a broker/FX path without getting lost

When picking an access path, you should focus on what affects day-to-day trading: platform stability, order routing quality, fee transparency, margin handling, and whether you can get timely statements and settlement reports.

For FX conversion, aim for predictable costs. If you repeatedly convert currency at unfavorable spreads or encounter delays that affect margin calls, your strategy can get sabotaged by plumbing.

Also, watch for “promised simplicity.” Trading access isn’t free of friction. If someone tells you it’s effortless, they’re either selling something or ignoring the paperwork.

Margin, risk limits, and what happens on limit days

Margin levels and risk limits can shift based on volatility and exchange rules. In many systems, there are also trading limits such as daily price limit bands. When price moves hit those bands, trading may behave differently: fewer trades happen within the band, volatility may compress then expand later, and your order execution can become tricky.

If you’re learning, your best habit is to know what would happen to your positions during a sharp move. Do you have enough margin buffer? Can you add margin quickly if required? What’s the broker’s process for forced liquidation or risk-reducing actions?

It’s not paranoia—it’s just running the scenario so you don’t meet it blind.

Risk management that fits Chinese futures

Risk management is where most beginners either become disciplined or drift into chaos. China’s commodity futures can be fast. Spreads widen, liquidity can shift, and weekend gaps can be a thing for international traders using different data windows.

If you only learn one concept from the start, learn how losses happen in futures. It’s usually not the “big bad moment” you saw in a volatility poster. It’s the slow accumulation of small mistakes: wrong contract choice, too-tight stops, ignoring roll costs, or adding risk after a trade goes your way.

Margin calls, forced liquidations, and practical buffers

Margin calls happen when your equity falls below a required level. In many systems, position reduction or closure can occur if you can’t meet requirements. The important part is that these actions may happen quickly, and they may occur at unfavorable prices due to market conditions.

So, instead of thinking of margin as “enough,” think of margin as a safety budget. A practical buffer means you can survive an adverse move without immediately hitting risk controls.

Position sizing and contract selection

Position sizing in futures should reflect contract size and tick value. A stop that looks reasonable on a price chart can translate into a larger dollar risk once you multiply by contract size.

Contract selection also matters. Some contracts are more liquid; others can have wider spreads or more erratic order book behavior. Liquidity affects execution quality, which affects your realized risk. If you trade a lightly traded contract with a strategy designed for smoother price action, your fill quality can ruin your math.

Roll risk, gap risk, and event risk

Roll risk is the uncertainty you take when you shift from one maturity contract to another. If the curve shape changes, you can experience gains or losses simply from rolling, even if the underlying commodity price didn’t move as much as expected.

Gap risk is the risk of price moving between your last close and your next open. If you depend on tight intraday stops, gaps can jump over your level.

Event risk includes policy announcements, inventory releases, and major global macro data. The remedy isn’t to stop trading around everything. The remedy is to adjust position size, widen stops if appropriate, or reduce exposure to events you don’t understand.

Learning path: from basics to actually placing trades

Learning commodities trading in China is easiest when you don’t try to learn everything at once. You need a sequence that builds from market structure to execution.

Most people get stuck because they jump immediately into charts and indicators. Charts are useful, but futures markets behave according to contract mechanics and settlement routines. Ignore those and you end up trading a “chart fantasy,” not real contracts.

Study order: market structure → products → execution

Start with market structure: how exchanges operate, how settlement works, and why margins exist. Then learn product categories: what drives energy versus metals versus agriculture. Finally, study execution: order types, trading hours, tick size, and contract roll timelines.

A simple way to pace yourself is to spend several sessions reading the contract specs and trading rules before you place a single order. It’s not exciting, but it’s the part that prevents expensive misunderstandings.

Backtesting in a market with contract changes

Backtesting is tricky in futures because the contract you would have traded in the past may not exist today in the same form, and because your strategy must include roll logic. Data vendors often provide continuous contracts, but continuous contracts can be built using different roll methodologies.

If you backtest without specifying roll rules, you can end up measuring a strategy that only works because the continuous series “smoothed” the reality. Be consistent: pick a roll method, document it, and treat the results as directional evidence, not proof.

Journaling and measuring errors cheaply

Journaling doesn’t have to be a fancy spreadsheet with colors like a school project. It needs to answer a few questions: what you traded, why you entered, where your risk was, what invalidated the trade, and how you handled it.

Over time, journaling shows you patterns. Maybe you always chase breakouts after a big rally. Maybe you ignore liquidity and trade during low volume. Maybe you roll too late and pay a heavy spread. Fixing these errors is usually more profitable than finding the perfect indicator.

Trading strategies people use in China (and where they go wrong)

People trade Chinese commodity futures with several common approaches: trend-following, mean reversion, spread strategies, and seasonal effects. None of these are magic. Each works best under certain market conditions and fails when conditions change.

A good learning goal is to understand not only how a strategy is supposed to work, but also what would contradict it. That’s how you avoid “strategy roulette.”

Trend and range approaches

Trend strategies assume that once the market moves, it often continues moving due to positioning and expectations. Range strategies assume the market oscillates around a mean because participants buy dips and sell rallies around a perceived fair value.

Where learners go wrong is treating trend and range signals as universal. In commodities, regimes shift: a market can trend after supply shocks, then fade when expectations normalize. If your strategy can’t handle regime change, you’ll feel like the market is “random,” even though it’s just not doing what your model expects.

Spread trading and calendar effects

Spread trading involves taking positions in two related contracts, often different maturities of the same commodity. The idea is to profit from relative value shifts rather than absolute price movements.

This approach can be attractive in China because curve shapes and costs-to-carry can create measurable effects. But learners must understand carry dynamics and roll costs; otherwise the spread P&L can mislead you about the underlying exposure you’re actually taking. Spread trades also need liquidity in both legs. If one leg becomes illiquid, your execution costs can erase your expected edge.

Seasonal patterns in agricultural contracts

Agriculture often has seasonal supply and demand cycles. Seasonality can influence planting and harvest timing, storage drawdowns, and downstream processing demand.

Still, the season doesn’t write the trade plan for you. Weather forecasts can be wrong, policy can shift import demand, and crop quality can vary. Seasonal strategies work best when they’re combined with risk controls and when you treat seasonal timing as a bias, not a guarantee.

News and macro: how to avoid reacting late

Commodity markets respond to news, but the market often reprices quickly. Learners tend to react late by chasing the move. Better behavior is to watch how prices and spreads respond to news. If the market already moved and then stalls, it may signal a lack of conviction. If the move expands with liquidity, there may be follow-through.

A practical habit is to decide in advance what would make you change your bias. If you don’t have that, you end up trading the emotional version of the headline.

Data and tools: what matters and what’s mostly noise

Data selection is where learners either get sharp fast or drown. You do not need fifty indicators. You need clean market data, contract specs, and a few metrics that explain what the market is doing.

In futures, the market’s “health” shows up in liquidity and open interest, not just in the latest candle.

Price, volume, open interest, and depth

Price tells you the obvious.
Volume can show whether moves attract participation.
Open interest often reflects the creation or closing of positions. Rising open interest alongside rising price can suggest new positioning; falling open interest can suggest positions are being closed.
Order book depth (where accessible) can help you estimate slippage and execution risk.

Depth won’t solve your problems, but it’s useful during volatile periods when spreads widen.

Funds flow signals versus “headline noise”

Some learners track “funds flow” or position data from various sources. These can be helpful, but they can also be delayed or incomplete. If a signal arrives after the market already reacted, it becomes a story, not a tool.

If you use these signals, pair them with price and spread behavior. The market’s immediate behavior is usually more actionable than slow data releases.

Order book realities and slippage

Slippage is the difference between your intended trade price and your actual fill. It happens due to spread, fast price moves, and order book thinness. In commodities, slippage can spike around news, contract roll periods, and near limit moves.

If your strategy assumes near-perfect fills, it’s not ready for live trading. You should simulate execution assumptions in backtesting and treat real fills like a tax you plan for.

Currency and conversion issues for international traders

If you’re outside China, your P&L reporting may involve currency conversion. Some brokers quote contracts in RMB or convert margins to another currency. The conversion rate can add noise to performance.

Keep a consistent reporting currency. Document the conversion method if your system supports it. Otherwise you might blame your strategy for performance changes caused by FX rates.

Regulations, compliance, and common gotchas

You don’t need to become a compliance lawyer, but you need to respect exchange rules and your broker’s terms. China’s markets can have strict risk controls and position limits, and brokers enforce them differently depending on jurisdiction.

Most “gotchas” aren’t dramatic. They’re annoying: account requirements, trading permissions, and contract-specific restrictions. The good news is that you can reduce the odds of pain by doing the boring homework upfront.

Exchange rules you should read (yes, read them)

Exchanges publish rules about contract specs, trading hours, position limits, and margin maintenance. Brokers also publish risk disclosures and operational details.

You should read the contract rules for every product you plan to trade. It’s tedious, but it prevents the classic beginner mistake: misunderstanding last trading day, settlement method, or what happens if your position remains open during certain periods.

Position limits, risk controls, and reporting

Position limits restrict how large you can trade in certain contracts. Risk controls can tighten margin requirements during high volatility. Reporting requirements may apply depending on your broker and account type.

If you grow beyond tiny size, your risk limits matter more. Even then, the best behavior is to design your strategy to fit within limits rather than trying to “push right up to them.”

Take care with tax, residency, and recordkeeping

Tax rules vary by country of residency. Futures trading can create taxable events differently than spot trading. Keep trading statements, settlement records, and conversion details. If you later decide to optimize your tax reporting, you’ll be grateful you didn’t treat records as trash.

If you don’t know the tax implications, ask a qualified professional. This is one of those times where “I’ll figure it out later” tends to become a mess later.

Costs, fees, and the long game

Beginners often focus on expected returns and forget costs. In futures, the cost structure includes commissions, exchange-related fees, and the indirect cost of slippage. Add in roll and you find that cost matters more than you expect—especially if your strategy isn’t built for high edge per trade.

Long game thinking means: you don’t just want to win trades. You want your winning strategy to hold up after fees and execution realities.

Commission, exchange fees, and margin-related costs

Commission rates vary by broker and account type. Exchange fees and other charges depend on the contract. Some costs are straightforward. Others show up indirectly through margin interest or funding costs depending on how your broker manages collateral.

Before going live, examine your broker’s fee schedule and estimate the cost per trade based on your planned contract size. If you can’t estimate it, it might be time to ask.

The bid-ask tax: slippage and roll execution

Bid-ask spreads widen during volatility and can be wider in less liquid contracts. If your strategy requires frequent entries, spread cost becomes a big chunk of your performance.

Roll execution costs can also be significant since you’re closing one month and opening another under time pressure. If you roll poorly—late, with low liquidity, or with market stress—you can end up paying a “roll tax” that your backtest didn’t include.

Keeping performance records that survive scrutiny

Performance tracking in futures should include realized P&L, fees, and contract-specific details such as which maturity you traded and when you rolled. If you don’t track this, you’ll struggle to answer why results changed when strategies were “the same.”

Keep records in a way that supports questions. Questions are the point. Without them, you’re just collecting numbers, which is a hobby, not a trading practice.

Real-world learning scenarios

It’s easier to learn when you can picture how the process plays out. Here are a few realistic scenarios that learners often experience while building competency in China commodities futures.

These aren’t fantasy stories where every trade becomes a lesson. They’re more like what tends to happen when you actually test a plan while dealing with margin, execution, and market surprises.

A beginner’s first 30 days plan

In the first month, the goal should be competence, not “a return.” If you can spend time understanding contract specs, trading hours, and order types, you’ll build a foundation that reduces the number of expensive mistakes.

A sensible plan usually looks like:
– Learn contract specs and settlement steps for one or two commodities.
– Paper trade or use a simulator with realistic order assumptions.
– If you must trade small, trade tiny sizes that won’t stress your margin buffer.
– Build a journal that tracks entry reasons and whether the market invalidated your thesis.

If you do this right, your month one result might be flat or slightly negative. That’s fine. What you want is evidence that you can execute without misunderstanding the mechanics.

What changes after your first losing streak

The first losing streak is where most learners reveal what they actually learned. Some realize they used too-tight stops. Others realize they rolled too late. Some notice they consistently enter after the market already made the move.

You won’t fix all issues right away, but you can usually diagnose the pattern quickly if you journal properly. The biggest trap is to change strategies every time the market turns against you. Better is to update one parameter: risk size, contract selection, entry timing, or roll process.

How a small protected strategy might look

A “protected” small strategy is less about fancy protection and more about basic risk control that fits the contract. For example, you might trade a liquid contract with a wider stop that accounts for typical volatility, and you take fewer trades.

You also might avoid trading right into major scheduled news until you’ve seen how that contract behaves historically. The point isn’t to predict the news. The point is to stop getting blindsided by the exact event type you didn’t account for.

Choosing a learning approach: classroom, simulation, or mentor

Learning methods matter because they shape what you repeat. If your method trains you to place trades impulsively, you’ll repeat the same mistakes. If it forces you to understand contract mechanics and risk, you’ll improve faster.

There’s no single best method. In practice, good learners combine approaches: some reading, some simulated execution, and at least one feedback loop.

Demo accounts and paper trading that actually help

Demo trading can be useful, but only if your paper fills approximate real execution. If the simulator fills you at perfect mid-price and never slips, your backtested edge may evaporate in live trading.

Try to practice realistic order types and realistic timing. If you plan to place limit orders in live trading, practice that with paper orders. If your plan uses market orders during liquid hours, keep your assumptions consistent.

Coaching without falling for “signals”

Some people pay for “signal” services that promise consistent returns. Commodity futures don’t cooperate that easily. If a service can’t explain the logic behind risk control, contract selection, and execution expectations, treat it as entertainment.

A better coaching approach focuses on how you think: decision process, market understanding, risk management, and learning from mistakes.

Building competence independently

Independent learning works if you follow a structured process. Choose a small set of contracts, learn their behavior, track your decisions, and review your journal weekly.

If you keep changing markets every week, you’ll never build stable knowledge. You also won’t learn how spreads and liquidity behave during roll periods, which in futures is where frustration often shows up.

A practical checklist before your first trade

Before you place your first live trade (even a small one), you want a checklist that covers mechanics, risk, and execution. This is where you stop guessing.

If you can’t answer these questions, you’re not ready, even if you’re “confident” about the chart.

You understand contract specs and settlement

You should know the contract size, tick size, trading hours, last trading day, and settlement method. You should also know where the contract you trade sits in the maturity structure and how you plan to handle the roll.

If you don’t understand what happens near expiration, don’t trade yet. That’s not a moral judgment—just physics.

Your plan covers entry, risk, and exit

A plan should specify entry logic, your invalidation point, and how you’ll exit. “I’ll exit when it feels better” is not a plan. Decide whether your exit is time-based, price-based, or thesis-based.

Also decide what you’ll do if your entry doesn’t work immediately. In futures, delays cost money and can increase stress if your margin buffer is thin.

You know the fee and margin impact

Estimate your round-trip costs: commissions plus expected slippage. Confirm your margin requirement and your buffer. If you can’t estimate it, reduce your position size until you can.

This is where beginners often underestimate because they focus only on potential profit. You’re better off calculating potential max loss first.

You can explain why you’re trading

If you can’t explain why you’re trading in one or two clear sentences, you’re probably trading a mood. Commodities can move for many reasons, and without a decision framework, you’ll blame the market for behaving like a market.

A simple “because I expect X driver to affect Y contract’s price/sentiment, and risk is controlled at Z” is enough. Don’t overcomplicate it.

If you want a starting point, focus learning on one exchange focus area, one or two commodities, and a single strategy style. In China futures, consistency beats heroics.