Trade Republic Coding Challenge
Your task is to build a system that enables users to view price histories. It will receive updates from a partner service, transform these updates and provide the aggregated data through an endpoint.
Intro and terminology
Instruments and Quotes
Every asset that can be traded is represented by an “instrument”, which has a unique identifier (ISIN). Each time the instrument price changes, an update message called “quote” is broadcasted for this instrument to inform about the change.
What is a candlestick?
While a candlestick “contains” all prices where the timestamp of the price update is higher than the openTimestamp (timstamp >= openTimestamp) and lower than the closeTimestamp (timstamp < closeTimestamp) of the candle, the basic idea is that we don’t need to know about all price changes during that time. We are only interested in a few specific data points: the first price that was received (openPrice) during that duration, the last price that was received (closePrice) and the highest and lowest price that was observed.
The input data is received through a websocket stream from a partner service. The code provides handles connecting and consuming the stream (
Streams.kt). There are two types of input messages:
- Instrument additions/deletions, which adds or removes an instrument from our catalogue
- Instrument price updates, giving the most recent price for a specific instrument
Output (Aggregated-Price History)
The output (and the main point of this challenge) is the aggregated price history endpoint. It should provide the history in form of candlesticks (check information below).
End-users of the service are interested in a specific instruments price history. They want to see the last 30 minutes in a form that is easy to read, hence we provide a candlestick chart.
To display this chart, the system needs to return the candlesticks for the last 30 minutes.
The endpoint for fetching candlesticks is already provided (
Server.kt). Consumers of the endpoint need to provide the instrument id (ISIN) as a query parameter (e.g.
Your task is to implement a service that will consume the stream data and make it reachable through the API in the format mentioned above
JVM running on your local machine Gradle Any IDE
Running partner service
To run a partner service you can either use docker-compose
docker-compose up -d
java -jar partner-service-1.0-all.jar
Running the app
To run the app you can use the following gradle commands
./gradlew build -> compiles project ./gradlew test -> run tests ./gradlew run -> run on port 8080
Once the server is running you can check the results at
Note: if you don’t implement your service you might see the exception there