transaction-cost-modeling

Community

Stop small-cap backtests from lying

Authorjefrnc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill prevents unrealistic transaction-cost assumptions from fabricating small-cap backtest profits, especially when slippage, commission, borrow APR, locate failures, bid-ask spread, or fees are set near zero.

Core Features & Use Cases

  • Realistic friction floors by universe: Enforces minimum credible slippage per side and spread-driven round-trip costs for mega-, mid-, small-, and micro/penny caps.
  • Short-side realism checks: Flags borrow APR defaults that ignore hard-to-borrow risk and treats locate failure as a binary “trade doesn’t happen” event instead of slippage.
  • Backtest bug detection for common modeling errors: Catches constant-fraction slippage, constant borrow rates, PFOF/“free commission” treated as zero, and market-impact models applied to retail-size orders.

Quick Start

Ask the AI to review your backtest configuration and flag any transaction-cost parameters below the credible floors for your universe and side, including borrow and locate modeling assumptions.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: transaction-cost-modeling
Download link: https://github.com/jefrnc/quant-llm-skills/archive/main.zip#transaction-cost-modeling

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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