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Strategy #0000000120 · Market microstructure and order flow

Order-book imbalance and short-horizon price scenarios
Enter bid/ask sizes, depth, price sensitivity, spread and trading costs.

Limit-order-book imbalance compares bid and ask depth; order-flow imbalance tracks how submissions, cancellations and trades affect supply/demand around the midpoint. Cont, Kukanov and Stoikov find short-horizon price changes are approximately linear in order-flow imbalance and depend on market depth. Results are highly sensitive to latency, queue position, fees and spread; this tool illustrates only an entered signal.

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

What remains of the depth-scaled bid/ask signal after spread and costs?

Limit-order-book imbalance compares bid and ask depth; order-flow imbalance tracks how submissions, cancellations and trades affect supply/demand around the midpoint. Cont, Kukanov and Stoikov find short-horizon price changes are approximately linear in order-flow imbalance and depend on market depth. Results are highly sensitive to latency, queue position, fees and spread; this tool illustrates only an entered signal.

Enter bid/ask sizes, depth, price sensitivity, spread and trading costs.

No live order book, queue or tick data are connected; latency, price jumps and fill probability are omitted.

  • Input assumptionsEnter bid/ask sizes, depth, price sensitivity, spread and trading costs.
  • Model outputNo live order book, queue or tick data are connected; latency, price jumps and fill probability are omitted.

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

Variants · same family, different risk levers

Data quality, constraints and implementation costs affect results.

Compare modelling and execution assumptions.

Related strategyRelationshipWhat changesNew cost or risk
Base scenarioManual inputsLimit-order-book imbalance compares bid and ask depth; order-flow imbalance tracks how submissions, cancellations and trades affect supply/demand around the midpoint. Cont, Kukanov and Stoikov find short-horizon price changes are approximately linear in order-flow imbalance and depend on market depth. Results are highly sensitive to latency, queue position, fees and spread; this tool illustrates only an entered signal.No live order book, queue or tick data are connected; latency, price jumps and fill probability are omitted.
Conservative versionLower exposureRaise cost/risk assumptions and constrain positions.May reduce participation.
Validation versionOut-of-sample testFreeze the method before evaluation on untouched data.Needs more clean data.

No live order book, queue or tick data are connected; latency, price jumps and fill probability are omitted.

Read beyond the summary

References

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

  1. 01Cont, Kukanov & Stoikov (2014), The Price Impact of Order Book Eventsresearch