Mutual Fund & ETF Flow Data
Buy and sell mutual fund & etf flow data data. Inflow/outflow patterns, switching behavior, redemption timing — fund AI needs real investor flow data.
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Find Me This Data →Overview
What Is Mutual Fund & ETF Flow Data?
Mutual Fund & ETF Flow Data tracks the movement of investor capital into and out of funds, measuring inflows, outflows, redemptions, and switching behavior. This data reveals real-time investor sentiment, asset allocation trends, and fund performance momentum. In February 2026, long-term US mutual funds and ETFs gathered $150 billion in inflows, with taxable-bond funds leading at $85 billion, while US equity funds faced outflows. ETF Flows datasets provide comprehensive coverage of over 6,800 global ETFs across the Americas, Europe, and APAC, with more than 30 key financial metrics including percentage allocation, share counts, and position values. This intelligence is essential for portfolio managers, AI-driven fund selection systems, and market strategists tracking capital rotation patterns.
Market Data
$150 billion
US Fund Inflows (Feb 2026)
Source: Morningstar
$85 billion
Taxable Bond Fund Inflows (Feb 2026)
Source: Morningstar
6,800+ ETFs
Global ETF Coverage
Source: Bigdata
$32.07 trillion
Total Mutual Fund Assets (Feb 2026)
Source: Investment Company Institute
$7.385 trillion
Broader Mutual Fund Flows Market: Money Market Mutual Fund Assets
Source: Investment Company Institute
Who Uses This Data
What AI models do with it.do with it.
Portfolio Managers & Fund Strategists
Monitor inflow/outflow patterns to understand investor behavior, identify capital rotation trends, and adjust fund positioning. Track which fund categories attract capital—February 2026 data showed equity funds shedding $5 billion while bond funds collected $33.7 billion.
AI-Driven Investment Systems
Use real-time flow data with 30+ financial metrics to train predictive models on fund performance, redemption timing, and investor switching behavior. Analyze position values, share count adjustments, and market value shifts across 6,800 global ETFs.
Market Researchers & Analysts
Benchmark fund performance against flows, identify emerging investment themes, and track investor preference shifts. Understand how market rallies drive ETF creation—2025 saw record ETF listings with 83% being active ETFs—and anticipate future capital movements.
Risk & Compliance Teams
Monitor fund redemption velocity, detect large investor exits, and assess liquidity risks. Track tax-exempt vs. taxable flows to understand investor tax-planning behavior and regulatory exposure.
What Can You Earn?
What it's worth.worth.
Historical Flow Datasets
Varies
Publicly available via Kaggle (CC0 Public Domain) with 2,310+ ETFs and historical pricing; updated annually or semi-annually.
Real-Time Flow Intelligence
Varies
Commercial subscriptions (e.g., Morningstar Direct, Bigdata ETF Flows) offer 30+ metrics, real-time tracking, and survivorship-bias-free reporting across 6,800+ ETFs.
Fund-Level Analytics
Varies
Detailed position data, allocation percentages, and adjusted share counts available through premium data providers covering Americas, Europe, and APAC regions.
What Buyers Expect
What makes it valuable.valuable.
Survivorship-Bias-Free Reporting
Data must include delisted and closed funds, not just surviving funds. Morningstar and ICI reports are compiled to exclude survivorship bias and provide accurate historical trends.
Complete Flow Attribution
Separate genuine inflows/outflows from market appreciation gains. February 2026 data distinguished between net new cash flow and asset value changes across equity, bond, and money market categories.
Granular Fund Classifications
Data should break down flows by asset class (domestic equity, international equity, taxable bond, tax-exempt money market) and fund strategy (active, passive, index-tracking).
Real-Time & Historical Depth
Combine real-time flow tracking with multi-year historical data for trend analysis. Datasets should include daily pricing, intra-month updates, and month-over-month comparisons.
Companies Active Here
Who's buying.buying.
Publishes official US fund flows reports with monthly data on inflows, redemptions, and fund performance correlation. Morningstar Direct offers real-time analytics for institutional investors.
Compiles official industry survey data on mutual fund assets, net flows, and redemptions. February 2026 report tracked $32.07 trillion in total mutual fund assets with detailed category breakdowns.
Provides ETF Flows dataset covering 6,800+ global ETFs with 30+ financial metrics including allocation percentages, share counts, and position values across Americas, Europe, APAC.
Tracks ETF market trends and publishes analysis of record flows in 2025. Monitors investor behavior shifts including commodity and gold exposure trends.
Maintains comprehensive fund flow data for all US-listed ETFs, including thematic categories like Artificial Intelligence ETFs, with historical returns, flow trends, and expense data.
FAQ
Common questions.questions.
What does mutual fund flow data reveal about investor behavior?
Flow data tracks inflows and outflows to reveal investor sentiment and capital rotation. For example, February 2026 data showed investors favoring bond funds ($85 billion inflow) while pulling $5 billion from US equity funds, indicating a shift toward fixed-income stability amid market headwinds.
How frequently is mutual fund and ETF flow data updated?
Update frequency varies by source. Kaggle datasets are updated annually or semi-annually. Commercial providers like Morningstar and Bigdata offer monthly reports and real-time tracking. Fund-level data is typically reported monthly by the Investment Company Institute, with real-time updates available through premium subscriptions.
What metrics are included in ETF flow datasets?
Comprehensive ETF flow datasets include over 30 metrics: daily prices, fund symbols, percentage allocation within funds, adjusted share counts, position values reflecting market value shifts, total fund flows, expense ratios, holdings, and performance data. Coverage spans 6,800+ global ETFs across Americas, Europe, and APAC.
Who should buy this data?
Portfolio managers, AI-driven investment systems, market researchers, fund strategists, compliance teams, and risk managers use flow data to track investor behavior, predict redemptions, identify capital rotation trends, and benchmark fund performance. Fund managers rely on real-time flows to adjust positioning and understand market sentiment.
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