OptionMetrics has launched IvyDB TradeFlow, a new data product that gives institutional clients visibility into buying and selling order flow in the US options market, the vendor announced. The feed is designed to distinguish aggressor direction in listed options and to surface patterns in retail trading behavior and participation in zero-days-to-expiration (0DTE) contracts.

The launch puts OptionMetrics in direct competition with established flow-analytics vendors at a moment when 0DTE volume has become a central preoccupation for both execution desks and risk teams. IvyDB TradeFlow, per the announcement, covers three institutional use cases: order-flow classification, retail-versus-institutional behavior, and measurement of 0DTE participation.

What does the product actually deliver?

According to the announcement, IvyDB TradeFlow provides:

• Insights into buying and selling order flow — identifying which side initiates in individual option series;
• Metrics on retail trading behavior — segmenting activity attributable to retail participants;
• Participation data on 0DTE options trading — quantifying how much same-day-expiry volume comes from which participant categories.

The announcement describes capabilities, not audited performance statistics. OptionMetrics did not publish sample datasets, coverage ratios or classification-methodology figures in the release material, so desks evaluating the feed will need to run their own reconciliation against existing execution records before treating the retail/flow labels as measured facts rather than vendor assertions.

Why flow classification matters now

Aggressor-side data changes the economics of options execution. A desk that can separate buy-to-open from sell-to-open flow, and retail from institutional participation, can recalibrate several workflow inputs at once:

• Best-execution reviews — flow labels give compliance teams an independent benchmark against broker-reported venue statistics;
• Liquidity provisioning — market makers can price tail risk more tightly when they can quantify the share of 0DTE demand that is directional retail rather than delta-hedged institutional flow;
• Signal construction — buy-side quant teams can test whether retail-heavy flow series carry predictive content, without building proprietary classification infrastructure.

The 0DTE component addresses the segment of the US options market that has drawn the most structural scrutiny. Same-day-expiry contracts now account for a substantial share of single-name and index option volume, and exchanges, regulators and internal risk committees have all had to adapt margin, surveillance and stress-testing models accordingly. A standardized vendor dataset for 0DTE participation reduces the build cost for firms that cannot justify internal flow-classification systems.

How does it fit the vendor stack?

IvyDB TradeFlow extends the IvyDB franchise, OptionMetrics' options database line that institutions already use for historical prices, implied volatility surfaces and reference data. For existing IvyDB subscribers, the new feed slots into familiar delivery and licensing structures; for new clients, it bundles flow analytics with the historical depth the vendor has built its reputation on.

The competitive question is classification accuracy. Vendors in this niche differ materially in how they label trades — trade-size heuristics, time-and-sales sequencing, small-trade clustering — and those methodological choices drive every downstream number, from the retail share of 0DTE volume to directional flow ratios. OptionMetrics has not published its methodology in the launch material. Buy-side evaluations should therefore demand:

• Classification-rate backtests against known-origin trades;
• Historical depth for the flow labels, not just recent data;
• Documentation of how the vendor handles split orders, sweeps and multi-leg complexes.

What happens next?

OptionMetrics says IvyDB TradeFlow is available now for institutional subscribers; pricing, historical coverage start dates and per-user licensing terms were not disclosed in the announcement. Desks that depend on 0DTE analytics should expect competitor vendors to respond with their own retail-flow and participation metrics as demand for participant-level options data keeps growing.