Our API's Origin Story

Ten years ago we formed Tiingo.com with the mission of making high-end tools accessible to all; however, in order to make those tools, we needed good, complete, and clean data.

We found existing institutional solutions did not offer the support we desired, especially when we gave feedback on data errors. In order to make our tools more accurate, we built a data processing engine prioritizing performance, cleanliness, completeness, and responsive support.

We believe you should feel joy with data, so we created the firm to do just that.

Data Going Further

With the foundation of our stack established to ensure consistent reliability, the next thing we focus on is how we can expand and improve existing datasets.

This means we only create our datasets if we believe we can innovate, disrupt, improve, create, or further unique datasets.

For example, our news feeds were developed from over a decade of natural language processing research, our end-of-day data was improved by our proprietary error-checking framework, and we expose our cross-connect at the exchange data centers, giving you access to a raw firehose of data. There is a reason our clients trust us with their production data.

A High-Performance Stack

Each part of our stack is constantly refined and selected to ensure we offer optimal speed, reliability, accuracy, and support.

Our process starts with ourselves. We constantly work and journal to improve ourselves outside of Tiingo. Our culture, promotes happiness, experiences, and joy - not to optimize our workselves, but because the experiential shapes us.

From a material aspect, we work constantly to ensure our hardware is running at peak performance. Our stack is powered by the fastest NVME drives, RAM, and 20 gbps bonded networks to ensure consistent network thoroughput. This is why we Equinix Metal as our cloud provider. Read about our comparison here: AWS vs. Packet

The final part of our stack is a team that prioritizes data quality. Each of our datapoints is run through a suite of error checks, that allows us to monitor why datapoints may be incorrect and learns when there is conflict. We also keep redundancy by creating End-of-Day price composites to ensure that we catch all missing corporate actions, dividends, and splits. Should we ever have to override any point, we document the change, the reason for the change, and provide proof the change is valid. And finally, if users report any data errors, we work to resolve them immediately,

Premium Support Included

We know great products come from listening, implementing, fixing, and growing. This is why we give every user premium support because we want to hear from you. After all, user feedback is the reason we've been able to build a better product, so please reach out to us at support@tiingo.com.

Need phone support? All of our redistribution plan members get phone support to ensure you can keep your systems compliant and know we are just a phone call away.

Love

Tiingo was formed with the mission that Love is the ideal way to conduct ourselves and our businesses.

We believe that money itself does not lead to fulfillment, but it helps facilitate creation, and creation in all sorts of fields and concepts (creating families, businesses, initiatives, projects, jobs) leads to beautiful feeling of fulfillment. Therefore those who are in the business of managing money or teaching about money have a monk-like responsibility to this world as they help educate about a facilitator of creation.

We at Tiingo uphold that we have a responsibility to our community and this world at large to teach others about financial education and also make tools accessible, so people may have more resources to create a better reality for themselves and others.

Why Accessibility Matters

While we can make financial education available, it does not solve the problem of expensive financial tools and data. By making tools and data accessible, we hope to encourage positive financial outcomes so you may have the resources to better your financial selves and have freedom to pursue the things you love.

Beyond financial outcomes, the reason we care so much about data in the financial literacy equation is that we've seen over and over again that finance tends to recruit math and science Ph.Ds under the idea that the scientific mindset, and sometimes mathematical sophistication, can result in profitable strategies.

But as former scientists, we can't help but wonder - what if financial data could lead to the pioneering of new scientific and mathematical methods? After all, financial data is a fantastic test data set as you can instantly know the results of whether your scientific methods works out-of-sample. So our goal in expanding financial data access is more than just the financial well-being of our users, but also to encourage scientific and technological innovation in data and the computational sciences.