Custom Trading Bot: Write trading rules into the system's "Strategy Execution Engine"

Basic Principles

A custom trading robot is a strategy tool that allows users to define their own trading rules and have the system automatically execute them. The core idea is simple: break down the strategy into “Trigger Conditions” and “Execution Actions”. When the conditions are met, the robot automatically places orders and manages positions according to preset actions. It can meet the needs of beginners for automation with simple rules (e.g., triggering buy/sell at a certain price) and also support more complex multi-condition logic and cross-market execution.

Structurally, a single rule consists of two parts:

• Condition: Used to determine when to trigger execution logic. It can combine market data, funds/position data, and mathematical functions provided by the platform to express more complex judgments.
• Action: The order actions to execute once the condition is triggered. Supports spot and contract trading, with various order types (such as limit, market, take profit, stop loss). A single rule can be configured with multiple execution logics, supporting up to 20 market/execution logic combinations.

Additionally, custom strategies support a Variable mechanism: you can store calculation results as variables and reference them in subsequent conditions (e.g., using get_value()), enabling strategies to have “state memory” and “multi-step logic” expression capabilities.

Regarding how strategies run, the system executes rules and variables in a loop according to the set order (noted as every 10 seconds). Therefore, when there are reference relationships between rules and variables, the order design will directly affect the final outcome.

Use Cases

1. Turning “Ideas” into “Stable Executable Actions”
   Many strategy issues are not about the idea itself but about execution: whether signals can be disciplined in order placement, and whether they are interrupted by emotions. Custom robots solidify execution into a process, reducing on-the-spot wavering.

2. A Set of Rules Covering Both Spot and Contracts for Structured Strategies
   When your logic involves not just single buy/sell actions but also spot/contract positions, margin constraints, or even multi-market coordination, custom strategies can combine these conditions and actions into a unified execution framework.

3. Strategies Need to Be “Iterative” Rather Than “Fixed Templates”
   Unlike fixed-template robots, the advantage of custom strategies lies in their expressive freedom: you can continuously adjust conditions, variables, and actions, turning strategy iteration into “modify rules, system executes accordingly.”

Usage Tips

• First, write rules into “implementable” execution chains: whether they can execute smoothly after trigger depends on whether your preset trading markets, order types, leverage/margin constraints, order quantities, etc., match.
• Pay attention to the execution order of rules and variables: the system executes in sequence. When there are reference relationships, define the referenced variables/rules first; otherwise, you may not get the expected results.
• Strategies support saving for reuse and online adjustment: strategies can be saved to the strategy library and run repeatedly; during operation, rules or variables can be enabled/disabled, and changes take effect immediately, directly affecting ongoing strategies.

Investment Tips

Custom trading robots are rule-based execution tools and do not guarantee profits. Strategy performance depends on the validity of the rule logic, market volatility structure, transaction and trading costs, etc.; when involving contracts, leverage and margin risks are also added. Please participate cautiously based on a thorough understanding of the rules and risks, according to your own risk tolerance.