Data Buyers
Datasets backed by published research
Every dataset we sell is backed by research we publish: how much institutional flow moves the S&P 500, how early it shows up in 13F filings, how futures flow tracks the weekly CFTC report, and how our CPI forecasts compare with consensus. The flagship is investor flow: net buying and selling by institutional and retail investors in US equities, ETFs, options and crypto ETFs, and by investor group in global futures, from 1-minute bars to weekly totals. Factors turn it into ready-to-test columns. Global Macro Forecasts cover US CPI and other releases before the print, and we turn them into signals for rates and FX futures. Reference data completes the set. Every dataset is point-in-time and delivered by API, MCP or the Tesseract portal.
Flow
The data behind our market-impact and 13F research. Net buying and selling by investor type: institutional and retail in US equities, ETFs, options and crypto ETFs; investor groups in global futures. 1-minute, hourly, daily and weekly data, delivered in real time, 15 minutes delayed or at end of day. US equity history from 2007.
Factor Library
Our factor guide shows how Institutional and Retail Participation Share behaved in testing. With the Short Interest Indicator, they turn flow into factor columns: pre-normalized, comparable across stocks, scored and ready to test, so your team skips the pipeline and goes straight to research.
Macro
Forecasts beat consensus since November 2017. Global Macro Forecasts cover US CPI (headline, core and categories), PCE, payrolls, ISM, retail sales and sentiment, the first CPI forecast about 20 days before the release. The Macro Factor Library turns them into signals for rates and FX futures.
Reference Data
A point-in-time US security master (221,545 listings, 59,682 issuers, 21 venues, with corporate actions) and historical SIP bars at 1-minute and daily frequency from 2016, delivered daily.
Investor Flow Analytics
In our research, institutional flow explains 62.6% of quarterly S&P 500 variance. See who is buying and selling every US-listed stock, ETF, option and crypto ETF, split into institutional and retail, and how each investor group is positioned in global futures. Read the research.
1-minute to weekly data, in real time, 15 minutes delayed or at end of day
Point-in-time history from 2007 in US equities, never revised
Futures by investor group, position size, trade size and turnover
Macro Data
Our first CPI forecast arrives about 20 days before the print, with forecasts evaluated against consensus since November 2017. Global Macro Forecasts also cover PCE, payrolls, ISM, retail sales and sentiment, and the Macro Factor Library turns them into signals for rates and FX futures. Read the research
Position before major releases with forecasts published weeks ahead
Forecasts evaluated against consensus since November 2017
Signals for Treasury, dollar and yen futures around each release
How You Get It
Every dataset comes through one delivery layer. Pipelines use our Unifier REST API, AI agents use the MCP service, and discretionary desks use the Tesseract portal to explore flow and forecasts in charts, without writing code. Deploy in the cloud or on-premise, on AWS, Azure, GCP or Oracle. Documentation: https://docs.exponential-tech.ai/
REST API for pipelines, MCP service for AI agents
Tesseract portal for desks, with no code needed
Cloud or on-premise: AWS, Azure, GCP or Oracle
Unifier Portal Technology
System Features
Cost
Low
High
Medium
Medium-High
Year Born
2024
1993
2005
2013
Native Programming Language
Python, C++, R, Java, Javascript, C#, Rust, Go or Any Other Language
Proprietary Q Language
Proprietary OTQ Language
Phyton, C++, R, Java, Javascript, C#, Rust, Go or Any Other Language
Native File Format
Any File Format
Proprietary KX Binary Columnar Format
Proprietary OneTick Binary Columnar Format
Any File Format
On-Prem Support
Yes
Yes
Yes
No
Point-In-Time Support
Yes
No
No
No
Horizontal Scalability
Yes
No
No
Yes
Realtime Streaming Support
Yes
Yes
Yes
Yes
SQL Bridge Technology
Yes
No
No
No
Natively Use Open Source Data Formats (parquet, hdf5, etc)
Yes
No
No
Yes
Deployed as Infrastructure As Code
Yes
Yes
No
Yes




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