Institutional flow moves prices. XTech shows who is trading.
Our research finds institutional flow explains about 63% of quarterly S&P 500 variance, and each net dollar of institutional buying goes with about $7 of S&P 500 market value. XTech reports that flow by investor type in US equities, ETFs, options and crypto ETFs, and by investor group in global futures.
Our data partners and research clients
Investor Flow by Investor Type
Our flagship, and the data behind our research: net buying and selling by institutional and retail investors in US equities, ETFs, options and crypto ETFs, from 1-minute bars to weekly totals, in real time, 15 minutes delayed or at end of day.
Global Futures Flow by Investor Group
Daily positioning by investor group across global futures, by position size, trade size and turnover rate, with groups aligned to CFTC COT categories. Our research compares it with the weekly COT report.
Factor Library: Ready to Test
Flow turned into ready-to-test factor columns: Institutional Participation Share, Retail Participation Share and the Short Interest Indicator, among others. Our factor guide shows how the two participation factors behaved in testing.
Global Macro Forecasts
US CPI forecasts evaluated against consensus since 2017, the first about 20 days before the print, plus other macro releases.
Reference Data: Security Master and Historical SIP Bars
A point-in-time US security master (221,545 listings, 21 venues, corporate actions) and 1-minute and daily SIP bars from 2016, delivered as files with a Python API.
The same point-in-time data our research uses
Our papers use the same point-in-time data you license: a backtest sees only what was knowable at the time, and history is never revised. Query it through the REST API, ask questions through the MCP service, or explore it in the Tesseract portal, like the CPI chart here.
Where the numbers come from: our published research on institutional flow, 13F filings and futures
The figures above come from our white paper "Decoding Real-Time Order Book Dynamics to Measure Market Inelasticity" (S&P 500, 2007–2025 data). Our other papers show how cumulative institutional flow anticipates 13F filings and how futures flow tracks CFTC positioning between reports.
Each finding below has a short summary on our blog, where you can request the full white paper.
In our 2007–2025 data, institutional flow explains 62.6% of quarterly S&P 500 variance, and each net dollar of institutional buying goes with about $7 of market value (multiplier 7.17).
Institutional Flow Moves the Index
Across S&P 500 stocks (2015–2025), cumulative institutional flow called the direction of the next 13F change with 65.5% average accuracy, rising to 71.1% on the 222 names where the signal is significant.
Access the white paper
13F Filings, Months Before They Are Filed
Daily futures flow anticipates the weekly CFTC report: direction matched about 71% of the time for managed money and 74% for producers, and about 48% in financial futures.
Futures vs the COT
Our first US CPI forecast arrives about 20 days before the release and the last about 5 days before, with forecasts evaluated against consensus since November 2017.
CPI Forecasts, Weeks Ahead
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“XTech’s AI engine, fueled by Prosper’s consumer futures data, is redefining predictive analytics for investors. From accurate CPI forecasts to forward-looking insights, our collaboration proves that understanding what consumers plan to do is the key to staying ahead of the market.”
Gary Drenik
Co-Founder Prosper Insights & Analytics
"Your team adds an incredible amount of value to these Portfolio Managers, it's incredible how you have transformed this data into something they can easily integrate into their models."
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Name Withheld
Head of Data Sourcing, Major Global Hedge Fund
"This is amazing, what you have built is designed exactly the way I would want it designed. I am excited to test this data because you have designed it perfectly. Thank you so much for doing that."
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Name Withheld
Global Macro PM , Major Global Hedge Fund
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