ETF Fund Flows as of October 30, 2023

ETF Fund Flows as of October 30, 2023

Here are the daily ETF fund flows for Oct. 30, 2023.

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Reviewed by: etf.com Staff
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Edited by: etf.com Staff

Top 10 Creations (All ETFs)

TickerNameNet Flows ($, mm)AUM ($, mm)AUM % Change
SPYSPDR S&P 500 ETF Trust2,021.76384,250.740.53%
TQQQProShares UltraPro QQQ794.0314,841.375.35%
SQQQProShares UltraPro Short QQQ361.394,179.688.65%
IWMiShares Russell 2000 ETF352.9247,340.890.75%
IVViShares Core S&P 500 ETF352.25336,484.210.10%
RSPInvesco S&P 500 Equal Weight ETF321.9437,846.200.85%
SPDNDirexion Daily S&P 500 Bear 1X Shares293.32503.2858.28%
IUSBiShares Core Total USD Bond Market ETF288.0621,350.771.35%
SPTSSPDR Portfolio Short Term Treasury ETF275.675,857.984.71%
PSQProShares Short QQQ271.951,117.5924.33%



 

Top 10 Redemptions (All ETFs)

TickerNameNet Flows ($, mm)AUM ($, mm)AUM % Change
QQQInvesco QQQ Trust-1,391.74190,410.38-0.73%
TLTiShares 20+ Year Treasury Bond ETF-1,099.8140,109.29-2.74%
PNOVInnovator U.S. Equity Power Buffer ETF - November-592.74592.74-100.00%
SUSAiShares MSCI USA ESG Select ETF-270.564,213.02-6.42%
XLFFinancial Select Sector SPDR Fund-200.3228,549.83-0.70%
BNDVanguard Total Bond Market ETF-199.1494,361.03-0.21%
XLEEnergy Select Sector SPDR Fund-186.4839,011.43-0.48%
SCZiShares MSCI EAFE Small-Cap ETF-167.868,991.01-1.87%
HYGiShares iBoxx USD High Yield Corporate Bond ETF-166.0610,865.95-1.53%
DIASPDR Dow Jones Industrial Average ETF Trust-147.5226,944.55-0.55%



 

ETF Daily Flows by Asset Class

 Net Flows ($, mm)AUM ($, mm)% of AUM
Alternatives-6.527,569.94-0.09%
Asset Allocation-16.0714,355.55-0.11%
Commodities151.62128,196.910.12%
Currency6.573,125.740.21%
International Equity190.471,190,268.400.02%
International Fixed Income74.81152,433.500.05%
Inverse2,219.2719,936.1511.13%
Leveraged778.4458,900.421.32%
U.S. Equity1,510.014,146,159.450.04%
U.S. Fixed Income227.981,242,937.420.02%
Total:5,136.596,963,883.490.07%



 

Disclaimer: All data as of 6 a.m. Eastern time the date the article is published. Data is believed to be accurate; however, transient market data is often subject to subsequent revision and correction by the exchanges.

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