# Quote Staleness > The age of a displayed quote relative to the current state of the market it claims to represent; a stale quote advertises a price that is no longer executable. - Canonical: https://hadalinstruments.com/glossary/quote-staleness/ - Term set: https://hadalinstruments.com/glossary/ --- A price feed is a claim: *this is where the market is now*. Quote staleness measures how far behind "now" that claim runs. Every feed carries some latency — aggregation, transport, and display all take time — so staleness is a spectrum, not a binary. The question is whether a venue's staleness is an unavoidable few milliseconds of plumbing or a structural property that changes what its clients can know. Staleness has several distinct causes. Infrastructure latency delays honest quotes. Throttled update cadence — republishing the feed at a coarser interval than the underlying market moves — leaves each displayed quote representing an increasingly historical state between updates. Aggregation across liquidity providers can hold quotes while a composite is recalculated. And at the deliberate end of the spectrum sits tick suppression during fast markets, which is [censoring](/glossary/censoring/): staleness as policy rather than physics. The consequences run in two directions. For the trader, decisions keyed to a stale quote are decisions about a market that no longer exists; the resulting fills arrive with systematic [slippage](/glossary/slippage/), concentrated in exactly the volatile moments when the displayed price lagged most. In the other direction, a persistently slow venue is exploitable by anyone with a faster view of the same market — the raw material of latency arbitrage — and venues aware of this tend to respond with defensive mechanics such as [last look](/glossary/last-look/), asymmetric rejection, or further throttling, each of which degrades execution for ordinary clients. Staleness is measurable from the feed itself. Inter-tick arrival distributions, update cadence under calm versus volatile regimes, and timestamp comparison against a multi-venue reference during the same windows together characterise how current a feed actually is. None of that requires the venue's cooperation — only a recorded feed and its timestamps. ## Commonly confused with Neighbouring concepts that get used interchangeably, and the distinction that actually separates them. - **[Quote fade](https://hadalinstruments.com/glossary/quote-fade/)** — A stale quote should have moved and did not — it is a price that stopped updating. A faded quote was current and then withdrawn as you reached for it. One is a feed running behind; the other is a feed reacting to you. - **Latency** — Infrastructure latency is one cause of staleness and not the same thing as it. Aggregation delays, throttled update cadence and outright tick suppression produce stale quotes on fast connections. A venue can be quick and stale at once, which is why measuring the network tells you little. - **[Censoring](https://hadalinstruments.com/glossary/censoring/)** — Censoring names the same thinning viewed as a property of the record rather than of the clock: a feed whose updates are dropped or rate-limited through the fastest intervals. Whether any instance is plumbing or policy is not observable from the tape, which is why the honest question is what the feed preserved rather than what anyone intended. - **[Liquidity void](https://hadalinstruments.com/glossary/liquidity-void/)** — A void is real absence of depth — the market genuinely has nothing there. Staleness is a claim about depth that has stopped being updated. A stale feed can display comfortable depth into a void, which is the worst of both. ## How to measure it in your own data A definition you cannot test is a definition you have to take on trust. This is the shortest honest route from the concept to a number you computed yourself. - **Records you need** — A recorded feed with its own timestamps, and a multi-venue reference over the same windows. Neither requires the venue's cooperation, which is what makes this measurable at all. - **What you compute** — Inter-tick arrival distributions; update cadence compared between calm and volatile regimes; and timestamp comparison against the reference during the same windows. The calm-versus-volatile split is the informative one — a single average cadence conceals the behaviour that matters. - **What the answer tells you** — Every feed carries some latency, so staleness is a spectrum rather than a binary, and a few milliseconds of plumbing is not a finding. What is a finding is cadence that coarsens exactly as the market speeds up: a feed republishing at a slower interval than the underlying moves leaves each displayed quote representing an increasingly historical state, precisely when accuracy matters most. ## Questions and answers ### Is quote staleness just a slow internet connection? No, and assuming so is how the question gets dropped. Your connection affects when you receive the feed; staleness is about how current the feed was when it was published. Throttled update cadence, aggregation delays and tick suppression all produce stale quotes that arrive at you instantly. ### How stale is too stale? There is no universal threshold, because the relevant comparison is against the market's own speed rather than against a clock. A cadence that is perfectly adequate in a calm session can be badly behind during a release. That is why the measurement compares regimes rather than reporting a single average. ### Can I detect staleness without the venue's cooperation? Yes. Inter-tick arrival distributions, cadence under calm versus volatile conditions, and timestamp comparison against a multi-venue reference all come from a recorded feed and its timestamps. Nothing in that requires access to the venue's systems or its agreement to be measured. ### Why would a venue slow its own feed deliberately? A persistently slow venue is exploitable by anyone with a faster view of the same market, so slowing or throttling can be a defence against being picked off. The difficulty is that the defence is not selective: the same throttling that frustrates a latency arbitrageur also degrades execution for ordinary clients, who were not the threat. ## If this has already cost you How current a feed actually is can be established from its own timestamps against a reference, without the venue’s cooperation. - [Feed Fidelity Assay](https://hadalinstruments.com/assays/#feed-fidelity-assay) “Is the feed my terminal shows me behaving consistently?” Will not establish: A verdict on your broker. One exported log from one terminal measures your feed as you received it — venue-side behaviour, other account tiers and intent are all outside what this data can carry. Intake is not open yet, so none of these can be commissioned today. They are listed here so you know the measurement exists and what it would and would not settle — the [launch list](https://hadalinstruments.com/pricing/#waitlist) hears first. ## Related terms Derived from the links this entry makes and the entries that link back to it. - [Adverse Selection](https://hadalinstruments.com/glossary/adverse-selection/) The systematic tendency to transact precisely when the counterparty knows something you do not — filled when the market is about to move against you, missed when it would have moved in your favour. - [Carry-Forward Artifact](https://hadalinstruments.com/glossary/carry-forward-artifact/) A stretch of a market dataset in which missing values were filled by repeating the last known price, manufacturing bars that look like market stability but actually record the absence of data. - [Censoring](https://hadalinstruments.com/glossary/censoring/) The thinning of a price feed — updates dropped, coalesced or rate-limited — during the intervals in which the underlying market is moving fastest, so that the record understates the spread widening and depth withdrawal that actually occurred. - [Epps Effect](https://hadalinstruments.com/glossary/epps-effect/) The systematic decline of measured correlation between two price series as the sampling interval shrinks; at fine grains the instruments rarely print at the same instant, and the correlation formula reads that asynchrony as independence. - [Last Look](https://hadalinstruments.com/glossary/last-look/) A practice in over-the-counter foreign exchange in which a liquidity provider, after receiving an order against its quoted price, retains a final window in which to accept or reject the trade. - [Non-Farm Payrolls (NFP)](https://hadalinstruments.com/glossary/non-farm-payrolls/) The monthly US employment release — published by the Bureau of Labor Statistics, typically at 8:30 a.m. Eastern on the first Friday of the month — which functions as the largest recurring scheduled volatility event in foreign exchange. - [Order Flow Imbalance (OFI)](https://hadalinstruments.com/glossary/order-flow-imbalance/) A measure of net buying pressure constructed from changes at the top of the order book — additions, cancellations and executions on each side, netted over an interval. - [Quote Fade](https://hadalinstruments.com/glossary/quote-fade/) The withdrawal or repricing of a displayed quote in the moment an order arrives against it, so that the liquidity a trader aimed at is not the liquidity that is there on arrival. ## Where the term is used Instrument pages whose published copy uses this term. Each page states what it measures and what it does not establish. - [Broker Feed Auditor](https://hadalinstruments.com/instruments/broker-feed-auditor/) What does your broker's feed actually do when you measure it instead of trusting it? Feed & Execution - [Data Forensics](https://hadalinstruments.com/instruments/data-forensics/) Your stats can be clean and your data still lying. Backtest Honesty ## In the research Quote Staleness comes up in two research notes on this site. - [Is my broker's feed honest? How to test it](https://hadalinstruments.com/research/is-my-brokers-feed-honest/) Honest is a comparison, and retail traders have nothing to compare against. Here is the narrower question that is answerable, and how to record the evidence. - [Do brokers hunt your stop losses?](https://hadalinstruments.com/research/do-brokers-hunt-your-stop-losses/) Up-side spread tags run 67% at round numbers against a modelled floor of 77%. The claim that stops are hit more often than chance does not survive it. ## Cite This Definition APA BibTeX HTML Hadal Instruments. (2026). Quote Staleness. Hadal Glossary. https://hadalinstruments.com/glossary/quote-staleness/ Version e524a7e, 2026-08-04. @misc{hadal_2026_quote-staleness, author = {Hadal Instruments}, title = {Quote Staleness}, year = {2026}, url = {https://hadalinstruments.com/glossary/quote-staleness/}, howpublished = {Hadal Glossary}, version = {e524a7e}, note = {Pre-launch publication; version dated 2026-08-04} } Source: Hadal Instruments, Quote Staleness. Original Research Copy Citation **Version e524a7e** identifies the commit that last changed this page in Hadal's content repository. That repository is not public, so the identifier does not resolve externally — it is published so a citation pins one specific state rather than a moving page. To obtain the exact version cited, use the [press and research route](https://hadalinstruments.com/press/).