configure-trade-execution

Configure open-xquant strategy execution parameters including fees, slippage, and lot size.

116|38|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/xingwudao/open-xquant --skill configure-trade-execution
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: configure-trade-execution
Source: https://github.com/xingwudao/open-xquant/tree/main/agent/skills/configure-trade-execution
Command: npx skills add https://github.com/xingwudao/open-xquant --skill configure-trade-execution

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Unstated or inconsistent trade execution assumptions (including fees, slippage, timing, and lot size) produce non-reproducible backtest results that cannot be trusted for real trading decisions.

Core Features & Use Cases

  • Execution Parameter Configuration: Set auditable timing, fill price mode, fees, slippage, lot size, and market calendar settings for open-xquant strategy backtests.
  • Validator Enforcement: Applies built-in constraint checks to prevent fatal execution mismatches that would invalidate backtest results.
  • Use Case: When building a US equity or A-share quant strategy, use this skill to assign realistic trading costs and execution rules to ensure your backtest results are reproducible and comparable across different strategy variants.

Quick Start

Use the configure-trade-execution skill to set appropriate trading fees, slippage, and lot size rules for your open-xquant stock trading strategy backtest.

Frequently Asked Questions about configure-trade-execution

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set trade execution rules for reliable quant backtests?

To set trade execution rules for reliable quant backtests, configure timing, fill price mode, trading fees, slippage, and lot size parameters for your open-xquant strategy to ensure results are reproducible and comparable across variants.

Why do my backtest results change every time I run them?

Backtest results change when trade execution assumptions like fees, slippage, timing, and lot size are unstated or inconsistent. Applying standardized execution parameter configuration eliminates these non-reproducible variations in your quant strategy testing.

How do I configure trading fees and slippage for an open-xquant strategy?

To configure trading fees and slippage for an open-xquant strategy, apply execution parameter settings that assign realistic trading costs and execution rules, ensuring your US equity or A-share backtest results remain auditable and reproducible.

Does open-xquant support fill price mode and lot size validation for backtesting?

Open-xquant supports fill price mode and lot size validation by applying built-in validator constraints. These checks prevent fatal execution mismatches that would otherwise invalidate your quant backtest results during strategy testing.

What happens if my trade execution parameters don't match the market calendar?

If trade execution parameters don't match the market calendar, built-in validator constraints detect the fatal execution mismatches. Configuring supported market calendar settings prevents these mismatches from invalidating your backtest results.

When should I use trade execution configuration for quant research?

Use trade execution configuration for quant research when building US equity or A-share strategies. It enforces validator constraints and ensures comparable cost assumptions across different strategy variants during open-xquant backtesting.