# Slippage Analysis

> Ingest reference market data and execute a supplied strategy via paper trading with freqtrade to capture its own fill/slippage report. Use when a researcher wants evidence of execution slippage against reference prices for a candidate strategy; this workflow only paper-trades and never places live orders.

- Skill: `knuckles-team/slippage-analysis` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/slippage-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/slippage-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- License: MIT
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/slippage-analysis

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# Slippage Analysis Workflow

Compose the named atomic skills without adding new slippage math here.

## Inputs

Provide the strategy definition, asset universe, and execution window.

## Steps

### Step 0: quant-data-ingest [skill: quant-data-ingest]

Invoke `$quant-data-ingest` with the workflow inputs to ingest
reference market prices for the universe and window.

Expected: `normalized_market_dataset`

### Step 1: freqtrade-executor [skill: freqtrade-executor] [depends_on: Step 0]

Invoke `$freqtrade-executor` with `normalized_market_dataset` and the
strategy definition to paper-trade and capture the fill/slippage report.

Expected: `execution_report`

## Output

Return `normalized_market_dataset` and `execution_report`, whose fills carry the
slippage evidence. Only paper-trades; never places live orders.

## Execution

- **Run first:** Step 0 — `$quant-data-ingest`.
- **After level 0:** Step 1 — `$freqtrade-executor`.

**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.