AI to drive your investment and risk management strategies

Transform raw data into supply and demand indicators

Providing powerful solutions for


Equity trading

Futures Trading

Risk Management


Supply Chain Management

Commodity Insights

Browse through hundreds of thousands of time series to find the exact data that fits your strategy.

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Real-Time Fundamental Equity Data

Get structured SEC Filings for all US-traded companies with minimum latency.

Forms 3, 4, 5

Form 4 is a form that discloses a material change in the holdings of company insiders. Insiders consist of directors and officers of the company, as well as any shareholders, owning 10% or more of the company's outstanding stock. Form 3 and Form 5 share the same structure as Form 4.

Form 8-K

Form 8-K is an unscheduled form that discloses important information to shareholders and the SEC, such as mergers, bankruptcy, the resignation of directors, and changes in the fiscal year.

Form 10-Q and 10-K

Form 10-Q is a comprehensive report of a company's performance that must be submitted quarterly by all public companies. Form 10-K is a comprehensive report filed annually by a publicly traded company about its financial performance.

Form 13F

Form 13F is a quarterly report filed by all institutional investment managers with at least $100 million in assets under management, which discloses their holdings.

Start Data Discovery


It is easy to explore and use fundamental and macro time series. Particle.One data is accessible via a Python library or a Rest API

Python lib notebook example

Python code

Jupyter notebook examples

Postman REST API documentation

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Pulse App

Find events companies don't announce in their press releases. Libraries of events and taxonomies tailored to financial markets covering EV, ESG, Crypto, SPAC and over 70 physical commodities.


Particle AutoML is designed to build a predictive model automatically for any time series available on the website.

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Try AutoML Today

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The Team

The founders have over 30 years of combined experience in Quant Finance, High-Performance Computing, Machine Learning, Natural Language Processing (NLP), and Alternative Data Management applied to financial markets

Tanya Lyubimova
Co-Founder & CEO

Paul Smith, PhD
Co-Founder & Chief Scientist

Ilya Nikolskiy
Co-Founder & COO