Solutions
Intrinio supports automated investing platforms with high-quality financial data sourced directly from OPRA. Companies like Emporus and CleverAlpha leverage Intrinio’s reliable stock market data to build custom robo-advisory solutions.
Intrinio’s equities and options data packages are the best choices for any automated investing company looking to build or improve their platform. Use Intrinio’s standardized fundamentals to easily find trades and power your platforms algorithms. You can count on our extensive collection of US fundamentals to make sound decisions and quickly compare performance across companies, and we’re dedicated to helping you choose the right data solution for your business.
Our streamlined technology allows you to easily retrieve accurate stock market and real-time stock options data at low-cost prices. We work with dozens of robo-advisory platforms and wealth management companies and supply them with the best tools and financial solutions. Access clean data from Intrinio for your automated strategy without spending thousands of dollars.
Emporus is swiftly revolutionizing how investment decisions are being made worldwide through its unique deep learning and artificial intelligence investment analytics platform. Unlike other platforms that provide an overwhelming amount of analytics, Emporus constructed its machine learning process to minimize the noise and maximize investors' abilities to perform market analysis.
To strengthen their machine learning processes, Emporus's platform needed a way to track volatility across the entirety of the US option's universe – that's where Intrinio's data came into play.
Intrinio provides Emporus with the daily and historical options data they need to strengthen their platform’s algorithms and stock market investing strategies. Using Intrinio’s financial data to power their deep learning models, Emporus can separate the signal from the noise. This separation allows investors to reduce the risk associated with their portfolios and ultimately make more informed investing decisions.
InvestorIQ is an AI-powered equity research and discovery platform that focuses on providing investors with contextualized data and identifying the best risk/reward opportunities based on the investment profiles of their users.
With InvestorIQ, users can invest responsibly, filter out low-quality equities, and gain immediate access to historical top-performing equities.
To power the platform's unique features, InvestorIQ needed a dependable and extensive financial data source for their historical options and equities data needs – that's where Intrinio's data came into play.
Intrinio proudly supplies InvestorIQ with the clean data and tools they need to power their ranking algorithm and RisQCalcuator.
Our vast collection of financial data, standardized data tags, and software development kits (SDKs) saves InvestorIQ development time, securely supports the platform’s feature sets, and allows their team to focus more on improving their algorithms and less on data wrangling.
There are a lot of data providers out there, and it can be overwhelming to sort through them – which is why we already did it and brought you the top providers in the industry.
We’ve worked with these partners hundreds of times and can help you find the right data, estimate your costs upfront, and navigate paperwork and other requirements.
We never mark up third-party financial data feeds – you'll pay the same price than you would if you worked directly with the original provider.
We save you time on research and billing by consolidating multiple sources. Your agreements transfer through to the vendors, so you get the benefit of a single provider without the risk.
If you didn't find what you were looking for, chat with our sales team about what product is right for you.
Our equities data plans include an extensive network of US company fundamentals and stock market data suitable for all types of business needs and budgets.
Get high-quality real-time and delayed options data through advanced access methods without building an expensive in-house infrastructure.