Expected Market-Order Fill Price
Install and import
npm install fintech-algorithmsimport { expectedFillPrice } from "fintech-algorithms/market-microstructure/market-depth-analytics/expected-market-order-fill-price";Signature
expectedFillPrice(bids, asks, side, quantity, limitPrice)Walks a market order through the book and returns the volume-weighted price it would pay. The honest answer to 'what will this cost' — and it can be a partial fill, which a naive estimate silently ignores.
Parameters
| Name | Type | Notes |
|---|---|---|
bids | Level[] | Bid levels, best first. |
asks | Level[] | Ask levels, best first. |
side | "buy" | "sell" | Order direction, which selects the side consumed. |
quantity | number | Order quantity. min: 0 |
limitPrice | number | Optional limit beyond which the order stops consuming levels. optional |
Returns
{ average_price, filled_quantity, unfilled_quantity, levels_consumed, … }
The average price with the filled and **unfilled** quantities stated separately — a book too thin to fill the order is the case that matters.
Errors
- When quantity is not positive, or side is unrecognised — throws
Complexity: time O(levels),
space O(1).
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": 99.99,
"quantity": 500
},
{
"price": 99.98,
"quantity": 800
},
{
"price": 99.97,
"quantity": 1200
}
]Showing 3 of 5 elements.
[
{
"price": 100.01,
"quantity": 300
},
{
"price": 100.02,
"quantity": 600
},
{
"price": 100.03,
"quantity": 1000
}
]Showing 3 of 5 elements.
"buy"1500nullCall
expectedFillPrice(bids, asks, side, quantity, limitPrice)Returns
object with 15 fields: model, side, requested_quantity, filled_quantity, unfilled_quantity, full_fill, fills, fill_notional, …
{
"model": "deterministic-visible-book-fill-estimate",
"side": "buy",
"requested_quantity": 1500,
"filled_quantity": 1500,
"unfilled_quantity": 0,
"full_fill": true,
"fills": [
{
"level_index": 0,
"price": 100.01,
"quantity": 300,
"notional": 30003
},
{
"level_index": 1,
"price": 100.02,
"quantity": 600,
"notional": 60012
},
{
"level_index": 2,
"price": 100.03,
"quantity": 600,
"notional": 60018
}
],
"fill_notional": 150033,
"partial_vwap": 100.022,
"worst_fill_price": 100.03,
"best_bid": 99.99,
"best_ask": 100.01,
"midpoint": 100,
"expected_fill_price": 100.022
}Showing 14 of 15 fields.
Other exports
This module also exports
cumulativeDepth, topNDepthImbalance, depthAtDistanceProfile, sweepCostAndSlippage, liquidityWallConcentration, 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
- Evidence boundary