1. Contract Trading Is Core to Web3 Volume and Revenue

Spot trading profit is limited, while leveraged contract trading drives high-frequency user activity, trading volume and fee revenue. Most users and new operators lack understanding of leverage, liquidation, funding fees and matching logic, leading to losses, rule misunderstandings and design pitfalls. Mastering contract fundamentals benefits both user education and platform rule design.

2. Core Q&A

Q1: Main difference between spot and contract?

A: Spot only profits from price uptrends; contracts allow leveraged long/short trading to profit from both rising and falling markets with small margin controlling large positions.

Q2: Simple leverage explanation?

A: Use small margin to control multiplied position size; higher leverage amplifies both profit and liquidation risk.

Q3: What triggers forced liquidation?

A: Reverse price movement erodes margin below maintenance level; the system auto-closes positions to avoid platform underwriting losses.

Q4: Purpose of funding fee?

A: Balance long and short costs with periodic settlements, narrowing spot-contract price deviations and stabilizing market trends.

Q5: Contract order book matching logic?

A: Off-chain high-performance engine matches orders by price priority and time priority with high TPS and fast execution.

Q6: How to design reasonable liquidation risk control?

A: Tiered maintenance margin, graded liquidation warnings and balanced funding fees reduce malicious spike liquidation disputes.

Q7: How beginners lower contract risk?

A: Use low leverage, avoid overexposure, set strict take-profit/stop-loss and prevent heavy positions during extreme volatility.

3. Conclusion

Leveraged long/short contract trading underpins Web3 trading volume and revenue. Four core mechanisms: leverage multiples, forced liquidation, funding fees and off-chain order matching. Leverage amplifies both gains and risks; liquidation protects platform liabilities; funding fees balance market deviations; high-performance engines ensure fast transactions. Operators optimize fees and risk rules based on this structure; users trade rationally with clear rule awareness to reduce liquidation losses.