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Strategy #0000000116 · Market microstructure and execution

Optimal execution and trading-cost risk
Enter shares, slices, volatility, impact coefficient, risk aversion, urgency and per-share fees.

Almgren–Chriss splits a large order into time slices, balancing temporary market-impact cost against price risk from unexecuted inventory. Higher risk aversion accelerates trading, while faster orders increase impact. This simulator uses simplified exponential slice weights to calculate quadratic impact and remaining-inventory risk; it is not a calibrated solution to the full model.

Beginner-friendlyAbout 8 minutesEvidence and practical analysis

Three ways in

Understand the story. Then inspect the risk.

Start with a familiar situation, check the payoff, then test how the numbers change.

The idea · in two minutes

How does faster execution trade off market impact against inventory price risk?

Almgren–Chriss splits a large order into time slices, balancing temporary market-impact cost against price risk from unexecuted inventory. Higher risk aversion accelerates trading, while faster orders increase impact. This simulator uses simplified exponential slice weights to calculate quadratic impact and remaining-inventory risk; it is not a calibrated solution to the full model.

Enter shares, slices, volatility, impact coefficient, risk aversion, urgency and per-share fees.

No order book, volume curve, permanent impact or alpha signal is loaded; the model only illustrates cost/risk mechanics.

  • Input assumptionsEnter shares, slices, volatility, impact coefficient, risk aversion, urgency and per-share fees.
  • Model outputNo order book, volume curve, permanent impact or alpha signal is loaded; the model only illustrates cost/risk mechanics.

Illustrative research examples only. They are not live signals or a recommendation.

Variants · same family, different risk levers

Model definitions, data splits and implementation costs affect results.

Compare methodology and execution assumptions.

Related strategyRelationshipWhat changesNew cost or risk
Base scenarioManual inputsAlmgren–Chriss splits a large order into time slices, balancing temporary market-impact cost against price risk from unexecuted inventory. Higher risk aversion accelerates trading, while faster orders increase impact. This simulator uses simplified exponential slice weights to calculate quadratic impact and remaining-inventory risk; it is not a calibrated solution to the full model.No order book, volume curve, permanent impact or alpha signal is loaded; the model only illustrates cost/risk mechanics.
Conservative versionLower riskRaise cost assumptions and cap exposure or search space.May reduce model adaptability.
Validation versionOut-of-sample testFreeze rules before evaluating untouched data.Needs more data and governance.

No order book, volume curve, permanent impact or alpha signal is loaded; the model only illustrates cost/risk mechanics.

Read beyond the summary

References

Primary sources and research used to describe the strategy and its limits.

  1. 01Almgren & Chriss (2001), Optimal Execution of Portfolio Transactionsresearch