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OptionsDepth vs QuantedOptions: Signed Index Data, Replay and Integrations

OFFICIAL WEBSITES

Visit the official OptionsDepth website →
Visit the official QuantedOptions website →

ALTERNATIVE WEBSITE

Visit Option Group Buy Trading →

ALTERNATIVE WEBSITE

Visit NomadVault →

The short answer depends on the required dataset

Choose OptionsDepth first for a focused SPX/VIX research process centered on participant books, contract filtering and exposure changes. Choose QuantedOptions first when that index research needs to extend into a coordinated replay workspace, broad stock/ETF analytics or its documented chart-plugin ecosystem.

The most important distinction is not that one uses dealer data and the other does not. Both describe exchange-linked participant information for their specialized SPX/VIX products. The larger difference is how the analysis is packaged and which additional products sit around it.

QuantedOptions also has a separate consolidated-data offering. Comparing that broad-ticker product with OptionsDepth’s participant-tagged index analysis would mix different data models. Decide whether the requirement is signed index positioning, stock-specific gamma or an overlay inside an execution platform before comparing subscriptions.

At a glance

Decision pointOptionsDepthQuantedOptions
Core index dataExchange participant-tagged SPX/VIX analyticsLicensed participant-signed SPX/VIX products
Broader universeCurrent platform focus is SPX and VIXSeparate consolidated-data stock and ETF products
Main research layoutDepthView, participant breakdowns and exposure surfacesCoordinated profiles, surfaces, flow and session replay
Comparing timeNet state versus a selected Flow intervalSnapshot replay and exposure timelines
Documented cadenceOne-minute intraday visualization snapshotsOne-minute licensed index snapshots and broad-ticker updates
Chart routeDashboard and separately metered API workflowsDedicated Orderflow Plugin and TradingView browser extension
Cost structureModel tier plus optional paid API unitsTrader, licensed dashboard, plugin and API entitlements differ

Table of contents

Browse sections

What participant-tagged data contributes

OptionsDepth’s FAQ identifies SPX and VIX as its current supported instruments and describes analytics based on exchange participant tags rather than bid/ask classification alone.

QuantedOptions describes licensed Cboe C1 participant-signed data for its SPX/VIX dashboard. The data supports a market-maker perspective on exposures and premium activity, distinct from its open-interest-based stock tools.

Participant identity is useful because outstanding contract count by itself does not tell you which category owns which side. A signed participant framework can support more specific questions about a selected book than a conventional call-positive, put-negative profile.

That does not make the finished charts identical. Greek calculations, selected expirations, snapshot timing, aggregation and display conventions still matter. Similar data categories are a starting point for comparison, not a guarantee that every modeled value will match.

A productive evaluation selects the same index, participant category, expiration cohort and reference time, then investigates a particular exposure rather than comparing unmatched headline totals.

QuantedOptions has two distinct product families

The quantedTrader page explicitly separates its broad stock and ETF analysis from the licensed SPX/VIX dealer dashboard. Its broader tools include gamma levels, net delta, premium activity, unusual volume, volatility views and an options-flow scanner.

SPX appearing in that broader interface does not make its open-interest gamma equivalent to the signed SPX product. The symbol can be the same while the underlying methodology differs.

OptionsDepth’s narrower stated universe makes the initial scope easier to define: the research is about SPX or VIX. That focus can suit an index specialist who has no need for a large equity watchlist.

The broader QuantedOptions family becomes relevant when a trader also researches names such as stocks and ETFs. Its benefit is convenience and an additional universe, not proof that the broad-ticker data has the same participant identification as its licensed index book.

DepthView versus a coordinated dashboard

DepthView lets users inspect positions and sensitivities by participant, strike and expiration. Calls, puts, selected contracts and ranges can be isolated. Net mode displays the selected book’s total exposure; Flow mode compares two selected times.

That arrangement suits an investigative question: which contracts and participant category account for a change? It encourages narrowing the selected universe before interpreting the aggregate.

QuantedOptions organizes the licensed dashboard around a strike ladder, gamma curve, surfaces, cumulative exposures and premium-flow views. Its replay controls coordinate the widgets around a selected historical minute.

This suits a different research habit: pause the session at a point, inspect several dimensions of the same book, then advance the clock. The advantage is consistency across the workspace, provided the reader also checks the scope of each widget.

Neither layout resolves the interpretation automatically. DepthView’s filters help isolate a question; coordinated replay helps reconstruct the sequence. Test which operation is more central to the work you repeatedly perform.

Read the participant and the metric before the color

The QuantedOptions walkthrough makes an important interface distinction: changing the participant selector on Strike Profile does not necessarily switch every other widget. Other components can remain on the market-maker perspective.

That means two panels on one screen may be answering different participant questions. Verify each view before treating agreement or disagreement as economic evidence.

For OptionsDepth, the same discipline applies when switching participants, exposure metrics or contract filters. A chart change caused by selecting a different book is different from a change inside an unchanged book.

Gamma, charm and vanna also address separate drivers. Gamma concerns price sensitivity of delta; charm concerns time; vanna concerns implied volatility. A surface’s color only becomes meaningful after its metric, sign convention and reference conditions are identified.

The useful comparison is whether the workspace makes those settings easy to retain and review. A familiar color palette is not a substitute for a consistent definition.

Snapshot frequency and historical access

OptionsDepth’s current FAQ describes one-minute visualization snapshots and a thirty-day intraday lookback. Its pricing page includes both newer one-minute information and older ten-minute sections, so the displayed timestamp and the selected model tier deserve attention.

QuantedClassic currently advertises one-minute delivery and recomputation, with live and historical session review. Its product documentation describes a broad daily delivery window and distinguishes licensed index data from the separately computed broad-ticker snapshots.

The comparison is therefore not a simple one-minute-versus-ten-minute contest. Verify which current model and page are being discussed, and inspect the actual delivered snapshot when using an integration.

Historical depth is another separate decision. OptionsDepth states a specific rolling intraday window and offers Data Shop datasets beyond it. QuantedOptions advertises historical-session replay, but a backtest should still confirm the earliest available dates, fields and export permissions required. A replay calendar alone does not establish every dataset needed for programmatic research.

The chart-integration decision

QuantedOptions has a published Orderflow Plugin route for platforms including Bookmap, MotiveWave, NinjaTrader, ATAS, Quantower and Sierra Chart, with additional supported platforms listed on the current product page.

There are material platform differences. The Bookmap build has a narrower current instrument set than the other builds, and requires a compatible Bookmap subscription. TradingView uses a browser extension in Chrome or Edge, so the desktop application is a separate compatibility question.

For ES, the plugin describes signed SPX data converted onto the futures chart. That is a coordinate conversion, not evidence that the input is the native ES options chain. Check the on-chart source label for other supported instruments instead of assuming every symbol uses the same dataset.

If a native overlay is essential, verify the exact installer, instrument and platform entitlement before buying. If browser research is sufficient, compare the analytical views directly. An API and a maintained chart plugin solve different implementation problems and can have very different setup costs.

A worked SPX comparison

Suppose an index trader sees a large aggregate gamma concentration near the current market. The research question is whether that reference belongs mainly to today’s expiration or remains substantial after those contracts disappear.

In OptionsDepth, the trader can select SPX, the intended participant and a gamma view in DepthView. Compare the full expiration range with the current expiry, then inspect a defined interval in Flow mode. Keep the units and book constant while changing only the intended dimension.

In QuantedOptions, the trader can inspect the licensed SPX strike profile, examine the per-expiry composition and compare coordinated exposure views at the same replay minute. Before mixing panels, confirm whether the participant selection carries across them.

Now assume the near-expiry concentration weakens as time passes while the all-expiry picture stays substantial. That observation refines the question: the short-term reference is changing differently from the broader book. It does not require declaring either platform’s original level wrong.

For a fair evaluation, save the selected dataset, time, participant, expiration cohort and metric. Compare how efficiently each platform let you isolate that change before looking at the final price path.

Learning effort and total cost

OptionsDepth concentrates the learning task around participant books, filtering and exposure projections. Its Market Makers’ Exposure views add heatmaps and three-dimensional gamma, charm and vanna scenarios. Learning to separate a projected sensitivity from an observed transaction is central to using those views well.

QuantedOptions adds another learning requirement: distinguishing the licensed index family from the broad-ticker family and the plugin. The wider environment can reduce switching between services, but the product names and access boundaries need attention.

For costs, compare the minimum complete workflow. OptionsDepth distinguishes a legacy daily model from its intraday offering; API requests are a separate paid add-on for Pro Max and consume units.

QuantedOptions offers standalone broad-ticker access, licensed dashboard subscriptions and a standalone plugin route. Ultra includes API credits and plugin access, while the standalone plugin has platform-selection terms. A higher bundle may simplify access, but only when its additional components are actually needed.

Include the execution platform’s own subscription, API consumption and setup time. Avoid paying twice for overlapping SPX dashboards merely because the interfaces differ.

How to choose

Choose OptionsDepth if the recurring task is detailed SPX/VIX participant research and selected-interval exposure analysis inside a focused dashboard.

Choose QuantedOptions if signed index research must sit beside broad equity analytics, coordinated replay or a specifically supported chart overlay.

Combine them only when a defined research operation remains materially easier in one and a separate delivery requirement is met by the other. Two sources of similar signed-index analytics may overlap more than they diversify the process.

Common questions

Does quantedTrader alone replace OptionsDepth’s index dataset?

No. Its documentation separates open-interest-based SPX analysis from the licensed participant-signed SPX/VIX dashboard. Compare the relevant QuantedOptions product, not just the brand.

Are the platforms’ gamma values supposed to be identical?

Not without matching participant scope, expirations, units, timing and model definitions. Investigate those settings before interpreting a numerical difference.

Does a dashboard subscription automatically include API access?

No. OptionsDepth describes a paid Pro Max API add-on. QuantedOptions assigns API entitlements by product tier. Check current credits, fields and historical access separately.

How should I compare historical review and replay?

Start with the session, participant scope and time you need to revisit. OptionsDepth’s DepthView can isolate contracts and compare two selected times; QuantedOptions’ replay coordinates dashboard widgets around a historical minute. Confirm available dates, fields and export permissions separately if the goal is a backtest rather than visual review.

Read the OptionsDepth guide and the QuantedOptions guide for their terminology and first-use steps.

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