TOTLState Street DoubleLine Total Return Tactical ETF·AMEX
38.00-0.50%
TA
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Fund Snapshot
Category—Asset TypeFixed IncomeTagsincomeReturn% 1Y-3.06%Total Holdings1,687Perf Week0.16%
SponsorSPDRETF TypeTagscorporateReturn% 3Y4.97%AUM$3.74BPerf Month1.90%
Fund FamilyBond TypeTagsmanaged-futuresReturn% 5Y-0.04%NAV/shPerf Quarter-2.14%
Index—Average MaturityTags—Return% 10Y52W High40.78 -6.82%Perf Half Y-3.77%
Index WeightingCommodity TypeTags—Return% SI52W Low37.09 2.45%Perf YTD-5.59%
Active/PassiveQuant TypeTags—Flows% 1M-9.00%Volatility0.32% 0.36%Perf Year-6.27%
Dividend TTM2.26 (5.94%)ESG TypeTags—Flows% 3M-8.69%ATR (14)0.16Perf 3Y0.53%
Dividend Ex-DateNov 02, 2026Dividend TypeSector/ThemeFlows% YTD-7.32%RSI (14)57.08Perf 5Y-20.49%
Dividend Gr. 3/5Y—Structure TypeRegionFlows% 1YBeta0.24Perf 10Y-23.97%
Expense0.55%Growth/ValueSMA200.73%Flows% 3YRel Volume1.13Prev Close38.19
Inverse/LeveragedMarket CapSMA500.09%Flows% 5YAvg Volume689.60KPrice38.00
IPO DateFeb 23, 2015Option/ShortYes / YesSMA200-3.05%52W Range %25%Volume777,557Change-0.50%
Assets Under Management
01.50B3.00B4.50B6.00BAprJunAugOct'25MarMayJulSepNov'26MarMayJulSepNov
● Assets Under Management
Latest News· Times ET
Oct-29-26
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Oct-14-2606:15AM
Oct-07-26
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Aug-28-26
Aug-28-2610:00PM
Aug-13-26
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Jul-07-26
Fund

This actively managed ETF, the State Street DoubleLine Total Return Tactical ETF, aims to achieve the best possible overall return. It focuses on core fixed income investments, with its performance measured against the Bloomberg US Aggregate Bond Index. The fund employs a strategy of combining both conventional and alternative fixed income assets, using active sector allocation and specific security selection to maximize returns throughout various market cycles. Its goal is to outperform its benchmark by identifying and capitalizing on mispriced opportunities within the bond market, and by investing in asset classes outside the benchmark, such as high-yield bonds and emerging markets debt.

Ownership

Per-holder 13F data isn't yet ingested for ETFs — coming with the next data layer expansion.