FINRA Data Portal and TRACE Fixed Income

The regulator's own window onto the US bond market. FINRA Data Portal and TRACE Fixed Income - filed under Diversified Capital Markets, published by FINRA, the broker-dealer regulator itself - centralizes "the abundance of data FINRA makes available to the public, media, researchers and member firms" into eight catalog categories: Equity Data, Fixed Income Data, Mutual Funds, Options Data, Firm Data, Representative Data, Investor Data and Corporate Finance Data.

This record's center of gravity is fixed income. The estate covers corporate and agency bonds - TRACE spans all US corporate and agency bond transactions - together with Treasuries and US Savings Bonds and the securitized stack: ABS, CMOs, MBS and TBAs. Municipal securities are deliberately absent, redirected to MSRB's EMMA site. Content is compiled from several sources, TRACE beside Refinitiv, S&P, Moody's and Black Knight Technologies, which is what lets one shelf carry both regulatory prints and commercial reference detail.

A security lookup searches on TRACE symbol or CUSIP and returns real-time trade history for a single bond, while market statistics run daily, monthly or yearly depending on the product: bond market activity and sentiment end of day, most active corporate bonds, treasury aggregates, structured product activity reports, capped volume and TRACE monthly volume reports.

In Datadory's catalog of 1,744 datasets across 159 viable industries, this record scores 9/10 for quality - a band shared by only 534 records - and anchors the diversified capital markets slice as the cash-bond counterpart to derivatives positioning feeds.

Get a sample of this dataset and we will return real rows shaped like the dictionary below.

Two shapes carry the estate: a security-level spine and an activity-measure layer over it.

# Security resolution -- one row per bond
security_identifier   : <TRACE symbol | CUSIP 9-digit>
instrument_class      : <corporate | agency | treasury |
                         savings bond | ABS | CMO | MBS | TBA>
trade_timestamp       : <execution time, real-time feed>
price                 : <transaction price>
yield                 : <transaction yield where reported>
volume                : <par traded, capped variants flagged>

# Activity statistics -- one row per measure per period
measure               : <bond market activity & sentiment |
                         most active corporates | treasury aggregates |
                         structured product activity | capped volume |
                         TRACE monthly volume>
period                : <daily end-of-day | monthly | yearly>
value                 : <as published>

Slots marked <...> are populated once we cut your sample; the identifier conventions and the two-layer design are the source's own, not a Datadory invention. Read the two layers as answering different questions: the security layer tells you what happened in one bond - the CUSIP is the join key your positions table already holds - and the activity layer tells you how the whole market moved today, this month, this year.

The same rows land identically whether they arrive through an endpoint, as files, or as a table in your warehouse, which is the property that keeps downstream parsers boring.

Six documented entries define the programmatic dictionary, verified against documented behavior during the August 2026 research pass. Together they describe the contract any consumer works against: list what exists, resolve the field definitions, pull filtered rows, page through results, and hand large extracts to asynchronous processing:

Additional fields on request: the dataset-specific column sets behind each fixed income product - trade-print columns for TRACE feeds, aggregate-measure columns for the daily-to-yearly statistics, quarterly order-routing disclosure fields - fold into your delivery once we confirm them against live records while preparing your sample. Ask with the sample and they ship in the same table.

Geography - United States throughout: FINRA-regulated markets and OTC activity, which for TRACE means every US corporate and agency bond transaction wherever executed.

Temporal - cadence varies honestly by product. Rule 606 order-routing reports arrive quarterly as PDFs and XML files for each calendar quarter; fixed income statistics run daily (bond market activity and sentiment land end of day), monthly (TRACE monthly volume reports) or yearly depending on the series. One printed caveat matters for anyone backfilling: trade history for corporate, agency and Treasury bonds prior to April 2025 is currently unavailable pending restoration - confirm restoration status before building on older prints.

Granularity - three grains coexist by design. Trade-level prints through the paid TRACE feeds, security-level lookups resolving one bond at a time on TRACE symbol or CUSIP, and aggregate statistics rolled to daily-to-yearly periods. Pick the grain per question rather than forcing one shape onto all three.

API, files, or your warehouse. Daily, weekly, or hourly.

You choose the channel and the cadence; holding the schema steady across product families is our problem, not your integration backlog. Name the products you want - say, daily most-active corporates beside monthly TRACE volume and quarterly order-routing disclosures - and the delivery splits by cadence automatically, same column names everywhere. Tell us the cut when you request the sample; Get a sample of this dataset and the rows arrive shaped that way, dictionary included.

Bond-transparency data earns its keep in specific jobs:

• Investors & quants - read corporate and agency bond liquidity from TRACE-derived activity, pair treasury aggregates with rates positioning, and screen most-active lists for flow concentration before sizing positions.
• Credit researchers & risk desks - resolve a single bond by CUSIP and attach its trade history to a position record, then roll the security view up into portfolio-level activity without changing schemas mid-way.
• Data scientists & ML engineers - engineer liquidity features from capped-volume and sentiment series whose daily-to-yearly cadences arrive pre-aligned, with a stable documented dictionary underneath.
• Competitive intel & product teams - track who routed which orders quarter by quarter through Rule 606 disclosures, and watch short-interest context around names your clients compete with.
• Market researchers & consultants - size US bond-market activity for client decks using regulator-compiled figures rather than vendor marketing numbers.
• Sales & growth teams - identify broker-dealer counterparties from registration and representative records for outreach grounded in who actually operates where.
• Journalists & academics - cite the primary regulator's own figures on bond trading and short-sale activity, citable without a licensing footnote.

Three things worth knowing upfront. First, this is a transparency estate, not a pricing service: trade prints and activity aggregates describe what traded and how much, while evaluated prices and analytics come from the contributing commercial sources - if your model needs end-of-day valuations, say so when you ask and we will confirm which series travel with the fixed income cut.

Second, mind the restoration gap. Trade history for corporate, agency and Treasury bonds prior to April 2025 is currently unavailable pending restoration, so historical studies built on trade-level prints should verify coverage windows before committing a pipeline; aggregate statistics are unaffected.

Third, respect the caps. Volume above a reporting threshold arrives folded into capped series, and municipal securities never appear here at all - they live on MSRB's EMMA. Name the products, identifiers and cadence you want when you request the sample, and it comes back cut to match.

Five complements cover what a bond-transparency table alone cannot:

• CFTC Commitments of Traders (COT) Reports - weekly futures positioning by trader category; pair it with cash-bond activity and you see both the hedge overlay and the underlying flow. Scored head-to-head in our comparison.
• BIS Debt Securities and Capital Markets Statistics - issuance and outstanding amounts across 50-plus economies from 1946, the supply-side context for everything TRACE prints.
• SIFMA Research and Capital Markets Statistics - industry association tallies of Treasury, MBS and ABS issuance, the round-up companion to transaction-level transparency.
• EOD Historical Data APIs - the price leg most bond strategies join against activity data.
• World Federation of Exchanges Statistics - venue-level volume and open interest context for normalizing activity against market size.

Browse the full set on the best diversified capital markets datasets ranking, the diversified capital markets data hub, or the FINRA source profile. For terminology, start with what TRACE fixed income data means and how short interest works. For workflow framing, see quant backtesting use cases and citation-grade research use cases.