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OptionMetrics Ships IvyDB TradeFlow for Order Flow Analytics

OptionMetrics launches IvyDB TradeFlow, offering institutions buy/sell order flow classification, retail behavior tracking and 0DTE participation data in one dataset.

Execution notes

  • OptionMetrics has launched IvyDB TradeFlow, a new institutional dataset covering buying and selling order flow in options.
  • The product targets three use cases: directional buy/sell flow analysis, retail trading behavior, and 0DTE options participation.
  • Pricing, backfill depth, and classification methodology details were not disclosed in the launch announcement.

OptionMetrics has launched IvyDB TradeFlow, a new data product designed to give institutional users visibility into buying and selling order flow in the U.S. options market, according to the vendor's announcement.

The product sits within the company's established IvyDB franchise, which desks already use for historical options pricing, implied volatility and Greeks. TradeFlow extends that dataset in a specific direction: separating demand into buy-side and sell-side components, so analysts and execution teams can interrogate who is initiating risk rather than only observing where prices settle.

Three use cases anchor the release. The first is directional order flow analysis — the ability to classify executed volume by aggressor side, a prerequisite for flow-driven signals and for monitoring how positioning accumulates through a session. The second is retail trading behavior: TradeFlow surfaces order characteristics that let institutions track the footprint of retail participation in listed options. The third is zero-days-to-expiration (0DTE) options activity, where the vendor says users can gauge participation in contracts that open and expire within the same trading day.

The 0DTE angle is the most commercially pointed. Short-dated contracts now account for a substantial share of U.S. single-name and index option volume, and desks that warehouse their own flow data have struggled to benchmark their 0DTE fills and exposure against market-wide participation. A standardized dataset covering that segment addresses a gap between what execution reports show internally and what the broader market is doing externally.

For buy-side desks, the practical question is how the buy/sell classification is constructed and how it performs in expiries with heavy intraday churn. Aggressor-side tagging in options is harder than in equities: quote spreads are wider, multi-leg orders are common, and retail flow often arrives in small clips that default classification models mishandle. OptionMetrics has not yet published methodology detail or coverage figures in the announcement, so prospective users will need to validate classification rates against their own tagged flow before wiring the data into execution analytics.

For sell-side and market-making desks, the value proposition runs the other direction. TradeFlow functions as an input to inventory and skew management — if buy-initiated and sell-initiated volume in, say, short-dated index options can be tracked at the market level, liquidity providers can better attribute changes in positioning to demand rather than to mechanical rehedging.

The retail behavior component is similarly double-edged. Vendors assert that retail footprints can be identified from order-level characteristics — size, timing, exchange routing — and products built on that premise have proliferated across equities and options. What is asserted here is that the dataset offers insight into retail trading behavior; what institutions will need to measure is whether that attribution holds up in validation against known retail flow sources, such as internalizer data or broker-tagged segments.

OptionMetrics positions the launch as an institutional response to structural change in the options market. The listed options complex has grown in both volume and composition shift toward expirations measured in hours, not weeks. Datasets designed for weekly or monthly cycles do not capture intraday flow dynamics, and TradeFlow is the company's attempt to close that gap inside its IvyDB ecosystem rather than leaving the field to specialized flow-data vendors.

Institutional adoption will likely hinge on integration mechanics. OptionMetrics distributes IvyDB products through its standard delivery channels, and desks that already license IvyDB can evaluate TradeFlow against existing volatility datasets without new plumbing — a lower adoption hurdle than onboarding a standalone vendor. Desks without an IvyDB footprint face the usual build-versus-buy question, and 0DTE coverage is the feature most likely to drive that decision.

The company has not disclosed launch pricing, backfill depth, or the exact universe of covered classes in the announcement. Those details will determine whether TradeFlow becomes a core execution-desk input or a research-side add-on. OptionMetrics says the product is available now, and follow-on disclosures on methodology and historical coverage should be the first documents any evaluating desk requests.

via Google News: Order flow & routing (Source)

More from Sophie Lindqvist

Sophie Lindqvist

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Senior reporter covering industry trends and analytics at Order Flow Brief.

49 articles

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