iShares Mortgage Real Estate Capped ETF (REM) Quote & Holdings

The packaged-exposure view of the US mortgage REIT sector: thirteen documented fields describing one tradable fund - iShares Mortgage Real Estate Capped ETF (REM) - that has tracked the FTSE Nareit All Mortgage Capped Index since its May 1, 2007 inception. Where a sector roster counts companies, this record prices the basket they add up to, which makes it the fastest read on what a dollar of mortgage REIT exposure actually owns.

Three layers ride on one instrument key. The session layer carries the quote grid: latest price against previous close, the $20.41-$24.05 fifty-two-week band, volume for the session, and slots for five-year monthly beta and trailing P/E. The economics layer carries the fund facts - $532.81M of net assets, a 0.48% net expense ratio, a 9.00% yield, and a sector weighting that reads Real Estate 100.00% because the wrapper holds nothing else. The holdings layer carries the ten largest constituents with their exact weights: 77.86% of assets combined, opening with Annaly Capital Management at 25.74% and AGNC Investment at 16.67%.

Beneath the summary sits the fund's own bar record - epoch timestamps paired with open, high, low, close and volume - running from intraday windows out to a max range of thousands of sessions, enough to study the basket across its whole life since 2007 rather than in the present tense. Get a sample of this dataset cut to whichever layer you need.

Illustrative rows in the delivered shape - one fund-level record stamped to its capture session, then the top of the holdings array:

# iShares Mortgage Real Estate Capped ETF (REM) - fund record, session of 2026-08-18
symbol                : REM
regularMarketPrice    : 22.00
fiftyTwoWeekLow       : 20.41            fiftyTwoWeekHigh   : 24.05
regularMarketVolume   : 58481
totalNetAssets        : $532.81M         annualReportExpenseRatio : 0.48%
sectorWeightings      : Real Estate 100.00%

# holdings[] - top ten constituents, 77.86% of assets combined
holdings[].symbol     holdings[].company                     holdings[].holdingPercent
NLY                   Annaly Capital Management Inc          25.74%
AGNC                  AGNC Investment Corp                   16.67%
STWD                  Starwood Property Trust Inc            7.63%
RITM                  Rithm Capital Corp                     5.20%
DX                    Dynex Capital Inc                      4.75%

# remaining five: ARMOUR Residential 4.63%, Ellington Financial 3.82%,
# Blackstone Mortgage Trust 3.81%, Orchid Island Capital 3.08%, Ladder Capital 2.53%

Read the pair together. The fund record answers what does owning the basket cost and how has it traded: $532.81M under management at a 0.48% expense ratio, a 9.00% yield, and a year of trading between $20.41 and $24.05 around the $22.00 capture close on 58,481 shares. The holdings block answers what is inside: two agency mREIT giants take 42.41% of the fund between them before the third name even appears, and the top five - Starwood Property Trust, Rithm Capital and Dynex Capital completing the run - already clear sixty percent of assets. Live rows arrive stamped to whatever session you name - get a sample and the same shape lands cut to your dates.

Thirteen fields anchor the delivered record, each verified against the quote page and its holdings table during the August 2026 research pass - nothing inferred from a column name.

One field identifies everything else: symbol, constant at REM on the fund-level row and reused inside the holdings array for each constituent. Five carry the session: regularMarketPrice, chartPreviousClose for the daily-change denominator, fiftyTwoWeekLow, fiftyTwoWeekHigh and regularMarketVolume. Two carry the fund's economics: totalNetAssets and annualReportExpenseRatio, the scale-and-fee pair a holder pays for. One certifies composition: sectorWeightings, reporting Real Estate at 100.00% so the wrapper's boundaries are a fact rather than an assumption. Three form the holdings array - holdings[].symbol, holdings[].company and holdings[].holdingPercent, ten rows deep. The last slot belongs to the chart series itself: timestamp / indicators.quote, epoch timestamps paired with open, high, low, close and volume.

The full dictionary sits in the table above, definition by definition.

Geography - a U.S.-listed wrapper holding U.S. equity mortgage REITs: agency home-financing names such as Annaly Capital Management and AGNC Investment alongside commercial-credit names such as Starwood Property Trust and Blackstone Mortgage Trust. One ticker therefore stands in for the entire national residential-and-commercial mREIT complex, wherever its collateral sits.

Temporal - three depths from one key. Session snapshots carry the quote grid as of a capture moment you name. Chart ranges run from intraday windows out to a max range of thousands of bars, reaching back toward the May 1, 2007 inception - roughly two decades of the basket's own trading life in one series. Holdings and fund economics travel as filed by the sponsor, so the weights always reconcile to the portfolio the prospectus describes.

Granularity - deliberately narrow. One aggregate instrument per pull plus its ten largest constituent weights; no full constituent list, no bond-level collateral detail, no per-company fundamentals. That narrowness is the design point: the record answers exposure questions, not company questions, and the neighboring records in the slice answer the rest.

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

Your cadence is decoupled from the market's clock: load the fund's full chart history once, then keep a session-stamped record current so each new close appends forward and each holdings update diffs cleanly against the last array. Deliveries arrive normalised to the field dictionary above - weights as percentages or decimals, timestamps in epoch or ISO, your call - keyed on symbol and capture session, in JSON, CSV, spreadsheet-ready Excel tables or XML. And because the record is small, extending the sweep to sibling wrappers or individual mREIT tickers costs little more than the single-fund pull.

• Exposure and attribution analysis - the ten weights turn “I own mortgage REITs” into a vector: 42.41% in two agency names, 77.86% accounted for before the tail begins, fee drag of 0.48% on top.
• Concentration monitoring - Annaly alone at 25.74% makes single-name risk a measurable quantity rather than an anecdote, trackable as the array shifts period over period.
• Income modelling - a 9.00% fund yield read against its expense ratio and the dividends each constituent actually declares separates pass-through income from packaging.
• Benchmarking an active book - managers and analysts price their own mREIT selections against the cap-weighted basket to see what the passive alternative owns that they do not.
• Relative-value checks - the fund's 9.00% yield set against the sector aggregate published in the neighboring roster record shows what concentration costs or pays.
• Commentary and citation - one instrument, one index, one inception date: the cleanest single sentence ever written about the mortgage REIT sector starts here.

Investors and quant researchers (relevance 2/3) get the exposure vector and the fee drag behind any mortgage REIT allocation decision, at whatever session granularity they name; see investors quants use cases. Journalists, academics and students (1/3) get a citable one-line description of the sector through its most-watched wrapper - sharp for a lede, thin for a research design that needs per-company depth; see journalists academics use cases. Data scientists and ML engineers (1/3) get a compact, stable feature source for sector-regime flags rather than a modelling corpus; see data scientists use cases. Developers building data products (1/3) get a tiny thirteen-column schema that renders cleanly in dashboards and widgets; see developers builders use cases. The narrowness is the honesty: a proxy's job is exposure, and this record does that job with thirteen tidy fields.

Within the mortgage REITs slice, this record owns the packaged-exposure view: no other cataloged set prices the sector as a single tradable instrument. The Nareit Mortgage REIT Sector Overview is the census - roughly 22 listed companies per pull under FTSE Russell aggregates of 30 tracked vehicles yielding 13.14% as of month-end 7/31/2026 - and the two meet head-on in the roster versus the basket, where AGNC plays both sides: +28.88% as a roster row, 16.67% as a fund weight. Member-level history lives next door in the Nareit Monthly Index Values & Returns workbook, 665 monthly observations back to December 1971 with a dedicated mortgage REIT block - deeper than the fund's own chart, because it describes the members rather than just the wrapper. The macro frame belongs to the Federal Reserve: the H.15 daily yield curve supplies the funding costs mREIT spreads live on, and the Z.1 Financial Accounts says who holds the debt. If the question is what does a dollar of mortgage REIT exposure own and cost, this is the record.

Three things worth settling upfront. First, pick the layer: a session-stamped fund record, the ten-row holdings array and a chart series over a named range are different cuts of the same key, and a sample scoped to the one you need arrives faster than all three bundled. Second, respect the top-ten boundary - the weights stop at ten constituents covering 77.86% of assets, and full index membership with its capped-sampling methodology belongs to the index provider rather than to this record. Third, mind the vintages: quote grids move every session while holdings shift only when the portfolio does, so name your capture dates and every delivered row will be stamped to them - the difference between a reproducible extract and a screenshot.