Presenting the Tiingo API

Presenting the Tiingo API

It’s here, it’s finally here.

The Official Tiingo API has launched after months and months of people requesting this, followed by months and months of dev time. The reason it took so long? We didn’t just do standard-API stuff, but we built infrastructure in exchange data centers to help significantly reduce to costs to everyday users to financial technology firms and Institutional players.

For example, EOD data is included in the Tiingo price, whereas for financial technology firms: real-time data is $500/month instead of $4200/month.

In summary: the entire API was built with the idea, “how much can we give and get away with it?” instead of, “how much can we charge and get away with it.”

And with that here’s the lowdown:

Our technological approach:
The origin story:

There exist a few limitations:

  1. Every user is entitled to 40GB of bandwidth a month. Yes we realize that’s insane – it’s why we did it.
  2. Every user gets 10k requests an hour and 100k requests a day. We plan to increase these as more datasets come online and as we phase out of beta. You can monitor your usage at:
  3. In order for us to track these limitations, we will need you to create an account (hope that’s ok!)

We’ve worked hard to make the documentation super simple to use. You can view them here:

Here are our datasets:

Included in

  • EOD Data 
    • End of Day price data for over 37,000 tickers including ADRs and Chinese stocks
  • Mutual Fund Data
    • Getting ready for launch
  • Technicals
    • Getting ready for launch

Additional (for Financial Technology)

  • IEX Price Data
    • Tiingo is the first Financial Technology company to bring IEX Real-time data to the mainstream public
    • IEX Real-time data for $500/month versus $4200+/month for other services
    • Websockets and REST implementation

2 thoughts on “Presenting the Tiingo API

  1. Yahoo stopped their ichart API last week which made me switch to the Tiingo EOD data. The JSON format is great and is better than Yahoo because the precision of the adjusted prices is much higher (many decimals). This is needed especially for stocks having had many splits because the older adjusted prices are then getting very small. Also, every column has an associated adjusted field so the corrections are explicit and easy to check for consistency. Big thanks.

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