Skip to main content
AI Fin Hub

Checklist, in Backtesting & Validation

Execution Cost Audit Checklist

Execution cost is where backtested edges quietly disappear. This checklist audits the real cost of getting in and out, both for validating a backtest's cost assumptions and for monitoring a live strategy.

12 items. Published May 26, 2026. By AI Fin Hub Research.

Your progress

Move item by item and keep your place

Progress saves locally, so you can work through the page over multiple sessions without resetting your checklist.

0/12 complete

Sections

Work in focused batches instead of one long wall

Section 1

Phase 1: Cost decomposition

3 items

Use the Execution Simulator: Estimate execution cost in closed form — square-root permanent impact, linear temporary impact, half-spread, and a latency-drift band. See the slippage a naive backtest hides.

Use the Broker API Comparator: Alpaca vs IBKR vs Tradier vs Schwab vs Robinhood — compare auth, rate limits, order types, market data, MCP, and fees before wiring a line of code.

Section 2

Phase 2: Benchmarking

3 items

Section 3

Phase 3: Edge survival

3 items

Use the Statistical Arbitrage Capacity Calculator: Maximum strategy AUM from alpha, slippage, fees, daily volume and volatility, and signal half-life. Square-root impact closed-form.

Section 4

Phase 4: Execution improvement

3 items

Tips

Small moves that make the checklist easier to finish

Plot the equity curve before and after audited costs. For high-frequency strategies the gap is often the entire result, which is why pre-cost backtests are so seductive and so wrong.
The mean cost lies. A strategy that pays a fair price most days and gets run over occasionally will show a tolerable average and an intolerable tail.
Cost sets a floor on trade frequency. If the expected per-trade return does not clear the round-trip cost, no amount of signal quality will save the strategy.

Run the numbers next

  • Playgrounds Order Book Replay Visualizer

    Drop a Level-2 snapshot CSV and replay the book snapshot by snapshot. Animated depth bars, best bid/ask, spread and imbalance. Understand microstructure before.

Sources

  1. Direct Estimation of Equity Market Impact , Almgren, Thum, Hauptmann, Li, Risk (2005)
  2. Trading and Exchanges: Market Microstructure for Practitioners , Larry Harris, Oxford University Press (2003)

Keep the topic connected

  • Checklist Backtest Hygiene Checklist

    Backtest hygiene checklist: point-in-time data, realistic costs, no look-ahead, aligned returns, and a reproducible run before you trust a number.

  • Learn Slippage

    Slippage as the gap between expected and executed price: the components (spread, market impact, latency), and how to model each in a backtest.

  • Learn Bid-Ask Spread

    Bid-ask spread defined: quoted vs effective vs realized spread, why the touch isn't the cost you actually pay, and how to measure each.

  • Learn Maker-Taker

    Maker-taker fee model: makers get a rebate, takers pay. Why the model exists, what it incentivizes, and how to size up real net cost.