#订单类型解析 Binance offers various order types to meet different trading strategy needs, the main types include:

Market Order

Executed immediately at the current best price, suitable for quick market entry and exit, but there is a risk of slippage. Market orders directly consume order book liquidity, have relatively high fees, and are usually used in markets with low volatility or ample liquidity.

Limit Order

Allows users to set a specific execution price, only executed when the market price reaches that price, suitable for precise cost control. For example, if the current BTC price is $30,000, the user can set a limit buy order at $29,500, which will execute automatically when the price falls. However, if the price does not reach the set value, the order may not be fulfilled.

Stop-Limit Order

Combines stop price and limit order features. When the market price triggers the stop price, the system places a preset limit order. For example, a user can place a limit sell order at $27,800 when the BTC price drops to $28,000 (stop price) for risk control. This type is often used to avoid unexpected executions in extreme market conditions.

Trailing Stop Order

Dynamically adjusts the trigger price, automatically placing orders based on market pullback ratios. For example, after setting a BTC buy trailing stop order, if the price continues to drop, the order price will move down accordingly, triggering execution upon a rebound, suitable for capturing trend reversal opportunities.

Conditional Order (Plan Order)

Sets preset trigger conditions (such as time or price) for automatic execution of subsequent actions. For example, setting "Buy at market price when ETH breaks $3,500" is suitable for event-driven trading.

In addition, Binance contract trading supports Maker (Post Only) orders, obtaining lower fees by providing liquidity, as well as time-sensitive orders like FOK/IOC (requiring immediate full execution or cancellation). Users can flexibly choose order types based on liquidity needs, risk preferences, and market conditions, balancing execution efficiency and cost control.