Direct Answer
The trade-through rate is the share of trades that executed at a price worse than the best protected quote available on another venue. In the US, Rule 611 of Regulation NMS (the Order Protection Rule) restricts such trade-throughs, with exceptions. A lower rate means orders are mostly executed at prices no worse than the best available quote across venues, and a higher rate suggests fragmented or poorly routed execution.
Trade Through Rate: Formula, Meaning, Signals, Examples and How to Use It
How Is Trade Through Rate Calculated?
The trade-through rate is the share of trades that executed at a price worse than the best protected quote available on another venue. In the US, Rule 611 of Regulation NMS (the Order Protection Rule) restricts such trade-throughs, with exceptions.
Formula: Trade-Through Rate = trades (or volume) executed through a better protected quote / total trades (or volume)
Inputs:
- Trade prints with price, size and timestamp
- Consolidated best bid and offer at trade time
- Applicable exception flags
Worked example. 35 trade-throughs out of 10,000 trades give a trade-through rate of 0.35%. The inputs are illustrative numbers, not market data.
Reading it. A lower rate means orders are mostly executed at prices no worse than the best available quote across venues, and a higher rate suggests fragmented or poorly routed execution. Many apparent trade-throughs are legal exceptions or timing artifacts.
Limits. Quote and trade timestamps across venues are not perfectly synchronized, which creates false positives, and exceptions (such as intermarket sweep orders) are legal. Computing it needs consolidated quote data, and the figure applies only where a trade-through rule exists.
What is Trade Through Rate?
The trade-through rate is the share of trades that executed at a price worse than the best protected quote available on another venue. In the US, Rule 611 of Regulation NMS (the Order Protection Rule) restricts such trade-throughs, with exceptions.
How to use Trade Through Rate
A lower rate means orders are mostly executed at prices no worse than the best available quote across venues, and a higher rate suggests fragmented or poorly routed execution. Many apparent trade-throughs are legal exceptions or timing artifacts. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime.
Strengths
- Comparing each print with the consolidated best quote at that moment tests a concrete rule, instead of a general liquidity impression.
- It reports a share of trades or volume, so rates can be compared between venues, stocks and months.
- Reproducible when the formula and data convention are fixed.
Weaknesses and limitations
- Prints in the opening, closing and other auctions follow separate mechanics, so they need to be filtered before computing the rate.
- A small share of trades is large in volume terms, so the trade-count rate and the volume rate can differ substantially.
- Correlated indicators can create false confidence by repeating the same underlying information.
Editorial and risk note
This page is educational content, not individualized investment advice. It should not imply guaranteed prediction, accuracy or outperformance.
Frequently Asked Questions
Is Trade Through Rate a buy or sell signal?
No. A lower rate means orders are mostly executed at prices no worse than the best available quote across venues, and a higher rate suggests fragmented or poorly routed execution. Quote and trade timestamps across venues are not perfectly synchronized, which creates false positives, and exceptions (such as intermarket sweep orders) are legal. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions.
What is the best setting for Trade Through Rate?
Trade Through Rate is computed from trade prints with price, size and timestamp; consolidated best bid and offer at trade time; applicable exception flags, so the choices that matter are the data convention and the window it is read over. Test those across instruments, regimes and out-of-sample periods instead of fitting one historical winner.
Can Trade Through Rate be used by itself?
Quote and trade timestamps across venues are not perfectly synchronized, which creates false positives, and exceptions (such as intermarket sweep orders) are legal. Computing it needs consolidated quote data, and the figure applies only where a trade-through rule exists. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone.
Does Trade Through Rate work on every timeframe?
The calculation (Trade-Through Rate = trades (or volume) executed through a better protected quote / total trades (or volume)) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it.
Why does Trade Through Rate give false signals?
Prints in the opening, closing and other auctions follow separate mechanics, so they need to be filtered before computing the rate. A small share of trades is large in volume terms, so the trade-count rate and the volume rate can differ substantially. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated.
How should Trade Through Rate be backtested?
Rebuild Trade Through Rate from trade prints with price, size and timestamp using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline.