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Strategy #0000000144 · Arbitrage and relative value

Latency-arbitrage quote scenario
Enter hypothetical stale-quote edge bp, fill fraction, notional, fees and adverse-selection bp.

When venues update at different speeds, stale quotes risk being selected by faster traders. Latency races involve costly infrastructure, failed fills, adverse selection and market-design concerns; trading against stale quotes may also be restricted by venue rules and fair-dealing requirements. This scenario only nets a manually entered hypothetical edge against costs; it gives no speed or quote-capture methods.

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

If part of a hypothetical stale-quote edge is filled, what remains after fees and adverse selection?

When venues update at different speeds, stale quotes risk being selected by faster traders. Latency races involve costly infrastructure, failed fills, adverse selection and market-design concerns; trading against stale quotes may also be restricted by venue rules and fair-dealing requirements. This scenario only nets a manually entered hypothetical edge against costs; it gives no speed or quote-capture methods.

Enter hypothetical stale-quote edge bp, fill fraction, notional, fees and adverse-selection bp.

No live quotes, venue latency or execution interface is provided; this does not teach quote-sniping or rule evasion.

  • Input assumptionsEnter hypothetical stale-quote edge bp, fill fraction, notional, fees and adverse-selection bp.
  • Model outputNo live quotes, venue latency or execution interface is provided; this does not teach quote-sniping or rule evasion.

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

Variants · same family, different risk levers

Models, contract terms and implementation can change results.

Compare relevant mechanisms and execution assumptions.

Related strategyRelationshipWhat changesNew cost or risk
Base scenarioManual inputsWhen venues update at different speeds, stale quotes risk being selected by faster traders. Latency races involve costly infrastructure, failed fills, adverse selection and market-design concerns; trading against stale quotes may also be restricted by venue rules and fair-dealing requirements. This scenario only nets a manually entered hypothetical edge against costs; it gives no speed or quote-capture methods.No live quotes, venue latency or execution interface is provided; this does not teach quote-sniping or rule evasion.
Conservative versionHigher cost/lossStress higher costs, larger losses or lower liquidity.May lower scenario returns.
Validation versionData reviewTest model inputs with consistent contracts and timestamps.Needs licensed, representative data.

No live quotes, venue latency or execution interface is provided; this does not teach quote-sniping or rule evasion.

Read beyond the summary

References

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

  1. 01Aquilina, Budish & O’Neill (2021), Quantifying the High-Frequency Trading Arms Raceresearch