Liquidity-Wall and Concentration Detection
Install and import
npm install fintech-algorithmsimport { liquidityWallConcentration } from "fintech-algorithms/market-microstructure/market-depth-analytics/liquidity-wall-and-concentration-detection";Signature
liquidityWallConcentration(levelsRaw, multipleRaw, minShareRaw, thresholdRaw)Finds levels holding disproportionate size — the 'walls' that act as short-term barriers. Worth treating with suspicion: a wall that disappears the moment price approaches it was never liquidity.
Parameters
| Name | Type | Notes |
|---|---|---|
levelsRaw | Level[] | Book levels to examine. |
multipleRaw | number | How many times the average level size counts as a wall. min: 0 |
minShareRaw | number | Minimum share of total depth a level must hold. min: 0 · max: 1 |
thresholdRaw | number | Concentration threshold above which the book is flagged as concentrated. min: 0 |
Returns
{ walls, concentration, flagged, … }
Detected walls with the concentration measure for the book as a whole.
Errors
- When minShareRaw falls outside 0…1 — throws
Complexity: time O(levels),
space O(walls).
Worked example
executed Captured by running this function on the input its own test provides. Real output of real code — but not asserted against a published figure.
Input
[
{
"price": 100.01,
"quantity": 100
},
{
"price": 100.02,
"quantity": 110
},
{
"price": 100.03,
"quantity": 450
}
]Showing 3 of 5 elements.
2.50.30.3Call
liquidityWallConcentration(levelsRaw, multipleRaw, minShareRaw, thresholdRaw)Returns
object with 13 fields: model, level_count, total_depth, median_level_quantity, hhi_fraction, effective_level_count, largest_level_index, largest_level_share, …
{
"model": "level-share-concentration-and-wall-screen",
"level_count": 5,
"total_depth": 900,
"median_level_quantity": 120,
"hhi_fraction": 0.3128395061728395,
"effective_level_count": 3.196527229676401,
"largest_level_index": 2,
"largest_level_share": 0.5,
"walls": [
{
"level_index": 2,
"price": 100.03,
"quantity": 450,
"depth_share": 0.5,
"median_multiple": 3.75
}
],
"wall_multiple": 2.5,
"minimum_share": 0.3,
"concentration_threshold": 0.3,
"state": "wall-detected"
}Other exports
This module also exports
cumulativeDepth, topNDepthImbalance, depthAtDistanceProfile, expectedFillPrice, sweepCostAndSlippage, depthDepletionReplenishment, marketDepthHeatmap, calculate. Every module additionally exports run as an alias of its
primary function, and a meta object carrying its catalog id, domain, family,
shape and article URL.
Diagrams
How it works
This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.
References
- NYSE Integrated Feed — New York Stock Exchange
- Nasdaq TotalView-ITCH 5.0 Specification — Nasdaq
- Herfindahl-Hirschman Index — U.S. Department of Justice, Antitrust Division
- Evidence boundary