Rebuilt Explore the new options flow dashboard

Options flow analysis.
See the whole order.

Turn the US options tape into research you can act on and review. Group multi-leg orders, find activity that is unusual for each symbol, and follow the evidence from the market to the contracts to your own trading journal.

Included in Platinum · Daily OPRA data · Each session available the following morning

THE MARKET, IN CONTEXT Actual TradesViz dashboard
TradesViz Market tab with a session summary, historical premium chart and unusual options activity ranked against each symbol's own normal
Start with the whole session: premium, breadth, call/put mix and activity versus normal. Select any screenshot to view it at full size.
StructureGrouped orders & net premium
ContextEach symbol against its own history
ContinuityResearch, trade plans & journal review

01 / Understand the order

A big options print is only part of the story.

A premium-sorted feed can make each leg of a spread look like a separate bet. Turn on Group multi-leg orders to see the package, its leg count and signed net premium. Expand a row to inspect the underlying legs.

MSFT example from the guide$126M gross premium
Across the package7 legs · 2 expiries
After bought and sold legs offset+$57M signed net premium
Grouped options flow table showing MSFT as a seven-leg package with $126M gross and +$57M net premium, with expandable order rows
Gross premium measures turnover across legs. Net premium describes the package's cash debit or credit; it does not measure maximum risk or prove direction.

02 / Find what stands out

Unusual options activity, measured against its own history.

A billion dollars in a busy index can be an ordinary day. A smaller name trading far above its recent normal deserves a closer look. The Market tab makes that distinction visible.

  • Unusual Today: rank symbols relative to their own 60-day normal.
  • Largest Books: keep raw size in view, with its historical context beside it.
  • Market breadth and concentration: see how widely activity is distributed.
  • Expiry and execution mix: explore where the premium went and how it traded.
What makes options activity unusual?
Unusual Today rankings with CBTX at 119 times its own normal and GS at 17 times normal despite its larger gross premium
In this historical example, CBTX traded at 119× its normal across six contracts. The ranking highlights unusualness, while net premium and contract counts add context.

Market research / Time horizon & structure

See which expiries are attracting the premium.

A call/put ratio compresses an entire market into one number. TradesViz shows where the session's premium landed across expiries, then compares the time-to-expiry and execution mix with what the market normally does.

Market options premium by expiry with call and put components and a January 2027 tooltip showing $1.39B across 601 symbols
In this example, the January 15, 2027 expiry carried $1.39B, or 5.6% of the session, with 67% in calls across 601 symbols. The expiry view makes that longer-dated concentration visible.

What you see

Premium grouped by the expiry it traded into, split into calls and puts. The tooltip adds days to expiry, the session share and the number of symbols involved.

How to use it

Find an expiry that stands out, then investigate the names and contracts behind it. Check whether the activity sits near your research timeframe or much further out.

Why it helps

A short-dated burst and a long-dated package can have similar premium. Seeing their time horizons gives you a more useful starting point than a dollar leaderboard alone.

Separate a busy expiry from an unusual change in behavior.

The next view measures differences from the market's usual mix in percentage points. In this example, 31–90 day expiries were 8.9 points light, while block/negotiated activity was 9.3 points heavy. Those observations help explain the session before you select a symbol.

Market charts comparing time-to-expiry buckets and spread, block and multi-leg premium with their normal shares
Read the baseline as well as the bar: block/negotiated premium was 36.2% versus its usual 26.9%. The chart shows the 9.3-point difference, not a 9.3% share.

Market research / Breadth & concentration

Know when one name is driving the headline.

The concentration treemap shows the relative weight of the largest symbols. Switch between Net, Total, Bought and Sold to ask different questions of the same session. In the Net view, green represents net buying and red represents net selling.

In the guide's example, NEE dominates the net-premium map. Its large call premium also appears on the outflow leaderboard. Seeing those views together tells you to inspect the package before treating “large calls” as a directional conclusion.

  • Start with proportion: decide whether the session is broad or dominated by a few names.
  • Compare the sides: a symbol can appear on both call-premium and outflow rankings.
  • Follow the evidence: inspect its largest prints and grouped legs in the flow table.
Follow the NEE example across four screens
Options flow concentration treemap on the Net setting with NEE dominating in red beside green MSFT, NVDA and TSLA blocks
A ranked list shows order. A treemap shows proportion, making a concentrated session much easier to recognize.

03 / Follow the contracts

Go from a ticker to the shape of its options activity.

Symbol Summary connects the session's gross and net premium, signal history and multi-session footprint with the contracts behind them. Inspect strike, expiry and open interest alongside price.

NVDA options contract table beside a bubble map of strike and days to expiry, with bubble size showing premium and color showing net buying or selling
The table ranks contracts; the map reveals their relationship. Explore paired strikes and expiries, then check the order structure before drawing a conclusion.
01

Read the session in context

Compare a symbol with its own history. See gross versus net, spread-leg share, contract concentration and past signals with their confirmation status.

02

Explore strike & expiry

Use contract maps, treemaps and volume/premium heatmaps to locate activity. Quantile color scales keep one oversized contract from hiding the rest.

03

Check open interest & price

Compare flow with the existing options book and the underlying price. A cumulative premium line shows turnover; open-interest changes add context about contracts remaining open.

Symbol research / A baseline for every headline

Is $423 million actually unusual for this stock?

Symbol Summary answers that question immediately. The session header places gross and net premium beside the symbol's own history, contract count, expiry count, spread-leg share and concentration. Signal history then shows the previous sessions that cleared a detector.

NVDA Symbol Summary with $423.6M gross, negative $26.2M net, 0.8 times its own median and historical signals with price-confirmation caveats
The NVDA example looks large in dollars but sits below its usual activity. Signal history keeps the earlier exceptional sessions and their confirmation caveats in view.
Versus its recent median0.8× below its usual activity
Net as a share of gross6% substantial offsetting turnover
Premium in spread legs42% structure matters

How to read it: compare the baseline first, inspect how much of the gross remains as net, then open the contracts and relevant signal dates. This puts a premium headline into context before it becomes a trade idea. Figures shown are historical examples from the guide.

Contract research / Strike & expiry heatmaps

Find where contract volume and premium agree.

Explore activity across two dimensions at once: strike price and expiration date. Read the volume and premium heatmaps together to distinguish high contract counts from high dollar turnover.

Side-by-side strike and expiry heatmaps for volume and premium with selectable strikes, expiries and a quantile color legend
The highlighted 220 strike into August 31, 2026 shows about $11.9M of premium. Read the actual range in the legend and the value in the tooltip, then investigate the contract.

Find the cluster

Choose the strikes, expiries and period you want to examine. Look for neighboring cells or a particular expiration carrying concentrated activity.

Compare both measures

A cell strong on volume but lighter on premium can reflect lower-priced contracts. A cell strong on both has substantial contract activity and premium turnover.

Keep smaller patterns visible

Quantile color bands keep a single enormous contract from washing out the rest of the grid. The legend exposes the actual ranges behind the colors.

Positioning / The existing options book

See the open interest that the day's flow lands on.

Flow describes what traded. The positioning map adds the outstanding contracts from the displayed open-interest snapshot, organized by strike and expiry, with puts extending left and calls right.

  • Select an expiry to inspect its strike distribution.
  • Use the spot reference to locate concentrations above and below the underlying.
  • Hover a strike to examine open interest and the session's net premium.
  • Check the snapshot date so you know which settled book you are comparing with the flow.

The map also displays max pain with its stated assumption. Treat it as a description of the selected book, rather than a price target. A later open-interest change adds evidence about the series, without identifying who holds a particular print.

Options positioning map with puts extending left, calls right, expiry selectors, a spot reference at 220.66 and max pain at 210
Compare the selected expiry's existing book with fresh activity. The snapshot date, spot reference and contract-level detail make the comparison checkable.

Time-based research / Premium against price

Follow the activity across sessions, then zoom into its timing.

Start with daily premium and the underlying price to locate the sessions worth inspecting. Then use the intraday cumulative view to see where in those sessions the selected flow arrived.

Daily gross premium bars colored by net sign alongside the underlying price and multi-session moneyness and expiry breakdowns
Bar height is gross premium; color is the sign of net. The blue price line has its own scale. The two footprint breakdowns are separate views of the same premium, not a combined contract filter.

Locate the change

Compare like-for-like sessions. Identify premium spikes, quiet periods or a mismatch between the selected flow measure and price.

Inspect the mix

Read the moneyness and expiry distributions separately, then use the contract list to check which strikes and expirations actually traded together.

Test an interpretation

Write down why that activity matters for your timeframe. Use subsequent price behavior and available open-interest evidence to revisit the hypothesis.

Intraday cumulative options premium over underlying price candles with bullish flow, bearish flow and volume toggles
Toggle the component series to understand the shape. In this example, $192M of aggregate flow splits into $158M and $34M in the displayed bullish and bearish classifications.

The advantage over a cumulative line alone: you can inspect the component flows, price candles and the underlying contracts. Cumulative premium measures turnover; repeated buying and selling can increase it without proving that a position was accumulated.

Execution research / Sweeps, blocks & splits

Understand how the premium arrived.

The daily execution breakdown reveals whether a spike came mainly through sweeps, blocks or splits. Compare the unusual session with the surrounding days before deciding how to interpret it.

In the guide's August 27 example, sweep premium reaches $2.07B, alongside $831M in blocks and $491M in splits. That is a very different execution mix from a day dominated by negotiated blocks.

Use the chart to choose the session to investigate, then filter the table and inspect the packages. A sweep describes rapid multi-venue execution; it does not establish the participant's identity or whether the trade was right.

Understand options sweep orders
Daily options premium chart comparing blocks, sweeps and splits with an August 27 spike led by sweeps
Execution labels become more useful when you can compare their premium across sessions and investigate the actual orders.

04 / Look across sessions

Find the names you were not already watching.

The Footprint tab organizes multi-session activity by behavior: rotation toward nearer or later expiries, concentration in one contract, rolls, and volume with or without open-interest support.

Open a card to see the contracts carrying the window and how many sessions each appeared in. Separate persistent activity from a single oversized event.

Footprint research cards with premium-by-session charts, contract ladders, session counts and a lumpy tag identifying concentrated activity
Contract ladders make each pattern inspectable. Open-interest verdicts are available only for the window lengths processed by the nightly analysis.

Track a change in time horizon, not just a change in size.

The expiry-rotation presets show whether the premium-weighted center of activity moved nearer or further out. Choose the behavior, open a symbol, then check the contracts and session counts that produced the shift.

Rotating toward nearer expiries

NTNX moved 571 days nearer across five sessions in this example. Inspect whether several contracts contributed or one event drove the change.

Footprint rotating into the front preset showing NTNX moving 571 days nearer with contract ladders and expiry distributions
Nearer-expiry rotation describes a change in the activity. The contract ladder lets you investigate its possible explanation.

Rotating toward later expiries

VOYG moved 560 days later, with one contract carrying 74% of the premium. That concentration changes how you should read the aggregate.

Footprint rotating out in time preset showing VOYG moving 560 days later and one contract carrying 74 percent of premium
Later-expiry rotation can be concentrated in one contract. Check persistence, strike and expiry together in the actual contract rows.

05 / Make the research your own

Your watchlist. Your filters. Your definition of a sweep.

Apply research filters across the dashboard and save combinations as presets. Narrow the market by symbol, group, sector, premium, quantity, strike, expiry, open interest, implied volatility, moneyness and execution type.

Go deeper with custom sweep and split definitions. Set execution duration, exchange count for sweeps, number of executions and whether to use the OPRA condition code.

Explore the complete filter walkthrough
Custom sweep settings for trade duration, exchange count, execution count and the OPRA code filter
Choose the execution criteria that matter to your research.

Build a research preset you can use again tomorrow.

Start with your universe, narrow the activity and set the contract criteria. Saving that combination makes it easier to compare sessions using the same research rules.

Read faster. Keep the reasoning.

AI summaries grounded in the data you are viewing.

Every tab includes an AI Summary. On the flow table, it reads the visible rows with your filters applied, highlights premium leaders and contract clusters, and suggests what to investigate next. Use it to navigate the evidence and check the contracts yourself.

Options flow AI Summary describing call dominance, premium leaders, NEE strike and expiry clusters, and multi-leg structures in the selected rows
A reading aid for the selected data. Your strategy, timeframe and risk still determine what matters.

Why TradesViz / More questions answered

Go further than a premium-only options flow feed.

A feed is useful for finding prints. Research requires understanding the package, the baseline and the contracts—and having a way to review what you did with that information. Here is what you gain when those steps live together.

Compare the research workflow: individual prints versus contextual options flow analysis.
Your research questionIf your tool stops at individual printsWhat TradesViz adds
Is this one trade or several legs?A premium ranking can scatter related legs across the feed.Grouped multi-leg packages with leg counts, gross/net premium and expandable contracts.
Is this actually unusual?A fixed premium threshold favors frequently traded, high-turnover names.A baseline for each symbol and Unusual Today rankings against its own 60-day normal.
Where is the activity concentrated?Separate rows make strike, expiry and market concentration harder to see.Contract maps, heatmaps and treemaps that reveal distribution and relationships.
Was this repeated across sessions?Individual alerts do not show how the whole window was distributed.Footprint and contract ladders with session counts, rotation and lumpy-event context.
What remained open?Traded volume alone cannot answer a question about outstanding contracts.Open-interest positioning and supported Footprint verdicts, with snapshot and window context.
Can I inspect the classification?A fixed sweep/split label limits how you define your research universe.Configurable execution criteria for duration, exchanges, execution count and OPRA-code handling.
Did this research improve my decisions?The feed ends with the market data; your own trading results live elsewhere.Trade plans, tags and journal analytics to review the outcomes of your flow-related trades.

Built for completed-session research and preparation.

TradesViz options flow is available the following morning. Its strength is the depth of the research and the connection to your journal. If your workflow requires live options execution alerts, account for that timing when choosing your tools.

From research to review

The flow that gave you the idea.
The journal that tells you how it worked.

Keep your research, trade plans and performance analysis in the same platform. Build a review process around the decisions you actually made.

  1. 01

    Write the hypothesis

    Use a trade plan to record the structure you observed, your reasoning and what would invalidate the idea.

  2. 02

    Tag the trade

    Add a tag such as flow:unusual or flow:sweep-cluster so you can find those decisions later.

  3. 03

    Review your results

    Filter your journal by those tags to compare win rate and expectancy, then refine your process using your own trades.

A clearer starting point

Options flow, explained.

Learn the data, understand the limitations, and build a repeatable research workflow.

Read the full guide
What is options flow data?

Options flow organizes options trades reported through OPRA by contract, premium, execution type and likely aggressor side. TradesViz connects that tape to market context, symbol history and contract-level research. The public tape does not identify the account behind a trade or its purpose.

Is TradesViz options flow real-time?

TradesViz options flow is daily research data. Each completed session is available the following morning. Use it to review the market, investigate historical activity and prepare your next trading session.

How does grouping multi-leg options orders help?

Grouping brings related legs into a package so you can inspect the leg count, strike and expiry range, gross premium and signed net premium together. Expand the row to inspect its legs. Net premium is the package cash debit or credit; it does not by itself establish maximum risk or direction.

How do I find unusual options activity?

Start with Unusual Today in the Market tab, which ranks symbols against their own 60-day normal. Then check net versus gross premium, contract concentration and the underlying legs. The Footprint tab adds multi-session research into expiry rotation, repeated activity and open-interest support where available.

Does cumulative premium prove accumulation?

No. Cumulative premium records turnover over time. The same contracts can trade repeatedly without increasing outstanding positions. A next-day rise in open interest shows that net new contracts remained open in that series, but does not identify who holds them or prove that a particular print opened a position.

How do options heatmaps and open-interest maps work together?

Strike and expiry heatmaps show where volume and premium traded. The positioning map adds outstanding contracts from the displayed open-interest snapshot, organized by strike and selected expiry. Compare the traded activity with the existing book, then inspect the individual contracts and grouped packages before forming an interpretation.

What does TradesViz add beyond a premium-only options feed?

TradesViz adds grouped order structure, each symbol's historical baseline, contract maps, heatmaps, positioning, signal history and multi-session Footprint research. Shared filters and AI summaries help investigate the data. Trade plans, tags and journal analytics then let you review the results of the trades you took for flow-related reasons.

Can I customize options flow filters and AI summaries?

You can filter by dates, symbols, groups, sectors, premium, quantity, strike, expiry, open interest, implied volatility, moneyness and execution type, then save presets. Custom sweep and split definitions let you adjust execution criteria. On the flow table, AI Summary describes the visible rows with your filters applied.

Is the new Options Flow Screener included in this update?

The Options Flow Screener is being rebuilt separately. The current walkthrough covers the flow table, Market, Symbol Summary, Footprint, shared filters and AI summaries. Use Market and Footprint to discover names and investigate their contracts.

Which plan includes options flow, and how does it connect to my journal?

Options flow is included in TradesViz Platinum. Start a free trial to explore it alongside your journal. Record a hypothesis in a trade plan, tag trades taken for flow-related reasons, then filter your journal by those tags to review win rate and expectancy.

What can I do with the TradesViz REST API?

Use Python, scripts or your own applications to read and search your TradesViz accounts, trades and executions, build custom reports, and manage notes and tags. With the required permissions, you can import supported executions, edit journal entries, update trade risk settings, split or merge trades, and delete selected journal data. Execution imports currently support eligible USD US stocks and fixed-multiplier USD futures, not every asset supported by the website.

Can I connect ChatGPT or Claude to my TradesViz journal using MCP?

Yes. Connect a compatible ChatGPT, Claude or other MCP client to the hosted TradesViz MCP server using browser sign-in; no local MCP server or REST API key is needed. Ask your assistant to summarize recent trades, compare results from retrieved trades, find trades by symbol or tag, or save a review note. Editing and other journal changes require the matching permissions. Connector availability depends on your AI client and workspace settings.

How do API and MCP permissions protect my trading journal?

You select the trading accounts and permissions each API key or MCP connection can use. Start with read access and grant editing or deletion separately when needed. Day notes, day tags and general journal notes require a separate opt-in. You can revoke access from the API/MCP dashboard. These tools manage your journal; they cannot place, change or cancel broker orders. AI responses can contain mistakes, so review proposed changes before approving them.

API & MCP overview · REST API documentation · MCP connection guide · API/MCP dashboard

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