After bench-marking APIs we’ve published to the Streamdata.io API Gallery we go through each of the individual API paths and identify the ones that have a high potential for turning into real-time streams, for use in dashboards, mobile applications, training machine learning models, and other applications. After we’ve StreamRanked them, we publish to a special listing of APIs, and make sure we profile individually here on the blog—next on the list of valuable data APIs is the open financial trading market IEX API.
IEX was created in response to questionable trading practices that had become widely used across traditional public Wall Street exchanges, as well as dark pools and other alternative trading systems. The IEX exchange aims to attract investors by promising to “play fair” by operating in a transparent and straightforward manner, while also helping to level the playing field for traders. Strategies to achieve those goals include:
– Publishing the matching rules used in the exchange’s computerized order matching engine.
– Offering a limited number of simple and familiar order types.
– Charging fixed fees on most orders (or a flat percentage rate on small orders).
– Ensuring market pricing data arrives at external points of presence simultaneously.
– Slightly delaying market pricing data for all customers (no colocation).
– Refusing to pay for order flow.
These strategies are intended to ensure the trustworthiness of the exchange. A few dark pools are owned by trading companies that pay for certain types of orders to allow them to fill orders within the pool, rather than routing orders to public exchanges. IEX offers no rebates for orders, and only charges a flat fee of $0.0009 per share on trades executed within the dark pool (or 0.30% with shares worth less than $1.00). Trades forwarded to other trading venues are charged a lower rate.
– Blog RSS
– Change Log
– Road Map
High-Value API Paths:
– Auction (GET) – For an example of an app that’s using stats, see our IEX mobile app
– Book (GET) – Subscribe to the book channel
– Operational Halt Status (GET) – Subscribe to the ophaltstatus channel
– Security Event (GET) – Subscribe to the security event channel
– HIST (GET) – HIST will provide the output of IEX data products for download on a T+1 basis
– Chart (GET) – The above example will return JSON with the following keys
– Market (GET) – This endpoint returns near real-time traded volume on the markets
– Corporate Actions (GET) – Refer to the Daily list specification for further details
– Historical Summary (GET) – See our stats page for a reference of the keys
– Recent (GET) – This call will return a minimum of the last five trading days up to all trading days of the current month
– Delayed Quote (GET) – This returns the 15 minutes delayed market quote
– News (GET) – The above example will return JSON with the following keys
– Previous (GET) – This returns previous day adjusted price data for a single stock or an object keyed by symbol of price data for the whole market
– Quote (GET) – Pulls a stock quote using any ticker symbol
– Short Interest List (GET) – Refer to the Short Interest specification for further details
– Splits (GET) – Returns stock splits for any date range using the ticker symbol
– TOPS (GET) – Our eligible symbol reference is updated daily
IEX is a unique player in the market data and trading arena. They are small but fast-growing, and different from the other players in the game. They provide a specialized look at a very volatile, dark, and often out of reach market for many average traders. Making it an honest and valuable source of data when it comes to streaming market data and working to develop an understanding of how things are moving. Their API is free and publicly accessible, something you can’t say of other providers and exchanges.
You can find more high-value APIs in the StreamRank portion of the API Gallery, and access IEX and the hundreds of other API providers we’ve profiled as part of the Streamdata.io API Gallery. Everything runs as individual Github repositories, driven by OpenAPI definitions, which makes it all forkable and integratable into your own applications and systems.