Institutions hold about 67 percent of US stock market value and drive an estimated 70 to 90 percent of daily trading volume. Their edge comes partly from data most retail never sees: proprietary research teams, premium real-time feeds, and alternative data. But one institutional-grade input is public and free, and most retail traders simply never read it: scheduled macro data.
What institutions actually have that most retail does not
- Proprietary research teams — Large funds employ analysts producing continuous research on sectors and individual securities, so a reading is ready before most retail even sees the headline.
- Premium feeds and execution access — Institutions pay for real-time institutional-grade data feeds and use execution advantages such as co-location and off-exchange venues that retail platforms do not offer.
- Alternative data — Funds increasingly use unconventional sources such as satellite imagery, card-transaction data, web traffic, and social sentiment to read demand before it becomes public.
- Early market intelligence — Through expert networks and paid research relationships, institutions often process developing information faster than the broader public.
- Systematic macro context — Institutions frame decisions inside the broader economic regime of growth, inflation, and rates. Unlike the items above, this input is built from public data that anyone can read, and it is free.
Can retail traders access any of the same data?
Some of it, yes. The most exclusive institutional inputs, alternative data and private feeds, are out of reach. But the macro layer is public. A Taiwan Stock Exchange audit-trail study found that while institutions hold an information advantage over individuals, that disadvantage narrows around prescheduled public releases, exactly the scheduled macro data anyone can read.
What institutional-grade data is actually public?
Economic data. Inflation, employment, interest rates, and consumer sentiment are released on a public calendar by agencies such as the Bureau of Labor Statistics, the Federal Reserve, the Treasury, and the University of Michigan. Institutions build macro context from these releases. They are free to everyone, shown below with their sources and dates.
Why does retail still lose to institutions if some data is public?
Two reasons. First, execution and scale advantages remain: SEBI found that 96 to 97 percent of proprietary and foreign-investor gains in Indian derivatives came from algorithmic trading. Second, most retail traders never actually read the free public macro data, so the one leveler available to them goes unused.
How can I start using institutional-style macro context?
Read the public macro data the way institutions do, framed in plain English. Given Analytics publishes a daily read of the same public releases, free, so the macro context that is usually reserved for professionals is available to anyone who wants it.
The public macro data institutions build on
This is the one institutional-grade input that is genuinely public and free. Here are several of the underlying releases, each with its original source and release date, alongside the reading Given Analytics publishes from them every trading day.
The current numbers behind this reading
The macro regime above is read from public economic data. Here are several of the underlying releases, each shown with its original source and release date:
- According to the U.S. Bureau of Labor Statistics, consumer price inflation was 3.3% year over year as of July 2026.
- According to the U.S. Bureau of Labor Statistics, the unemployment rate was 4.1% as of July 2026.
- According to the Federal Reserve, the federal funds rate was 3.63% as of July 2026.
- According to the University of Michigan, consumer sentiment was 49.5 as of June 2026.
- According to the U.S. Treasury, the 10-year Treasury yield was 4.65% as of August 19, 2026.
- According to the Federal Reserve (ICE BofA U.S. High Yield index), the high-yield credit spread was 273 basis points as of August 19, 2026.
- According to the Federal Reserve Bank of Atlanta, the Atlanta Fed's real-time GDP growth estimate was 4% annualized as of July 1, 2026.
Given Analytics reads this combination of published conditions as acceleration mild — 14 of 21 tracked economic series agree with that reading. That is a description of the environment already visible in the data, updated every trading day. It says nothing about what happens next.
What was actually missing
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Related questions
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How current is this page?
This page was last reviewed on August 21, 2026; the economic figures above each carry their own official source and release date and are refreshed on a recurring cadence. The daily Morning Brief and the daily video, both free, carry the current reading in plain English. Founding access is free to try — no credit card — for the first 500 members.
Educational and informational only. Not investment advice. Given Analytics is not a registered investment adviser. Past mathematical conditions are not indicative of future results.