Nasdaq Data Link provides a modern and efficient method of delivery for realtime exchange data and other financial information. Data is made available through a suite of APIs, allowing for effortless integration of data from disparate sources, and a dramatic reduction in time to market for customer-designed applications. The API is highly scalable, and robust enough to support the delivery of real-time exchange data. Read our latest case study: Nasdaq Data Link Provides Real-Time Data with Efficiency and Scale to Fintech Newcomer Unhedged
This repository provides an SDK for developing applications to access Nasdaq Data Link's Streaming API. While the SDK is open source, connecting to the API does require credentials, which are provided by Nasdaq during an on-boarding process.
- Nasdaq Basic (real-time & delayed)
- Nasdaq Last Sale+ (real-time & delayed)
- Nasdaq TotalView
- Nasdaq Consolidated Quotes and Trades (real-time & delayed)
- OTC Markets (real-time & delayed)
- OpenJDK 8
- Maven 3
Clone the repository: git clone https://github.com/Nasdaq/CloudDataService
- Run
mvn install
to build the library, test, javadoc and source jars and install to your local Maven repository. - Run
mvn javadoc:javadoc
to build the documentation.
=======
Replace example stream properties in the file kafka-config.properties (https://github.com/Nasdaq/CloudDataService/blob/master/ncdssdk-client/src/main/resources/kafka-config.properties) with provided values during on-boarding.
Required kafka configuration
bootstrap.servers={streams_endpoint_url}:9094
For optional consumer configurations see: https://kafka.apache.org/0100/javadoc/org/apache/kafka/clients/consumer/ConsumerConfig.html
For example:
request.timeout.ms=20000
retry.backoff.ms=500
max.poll.records=2000
The consumer configuration gives the ability to fix a consumer group id which is important for production usage. Setting the consumer group id explicitly allows the kafka administrator to add protections around your production feed. The following is an example of a fixed consumer group id convention
group.id: {oauth.client.id}_{environment}_{feedname}
The following is an example of the group id filled in:
group.id: testuser_pro_totalview
Please note that if you fix the consumer group id in your client, you will continue at the last offset that was consumed from kafka. This is a way promote availability for your application as the app will begin where it left off given a disconnection.
Also, if you are using the SDK for interactive query, you will also be consuming from where you last consumed. The consumer group id effectively saves the last offset that you have ingested.
=======
Replace example client authentication properties in the file clientAuthentication-config.properties (https://github.com/Nasdaq/CloudDataService/blob/master/ncdssdk-client/src/main/resources/clientAuthentication-config.properties) with valid credentials provided during on-boarding.
oauth.token.endpoint.uri=https://{auth_endpoint_url}/auth/realms/pro-realm/protocol/openid-connect/token
oauth.client.id=client
oauth.client.secret=client-secret
oauth.username.claim=preferred_username
To enable debug logging, edit the file (https://github.com/Nasdaq/CloudDataService/blob/master/ncdssdk-client/src/main/resources/log4j.xml) and change line 18 to the logging level desired.
For example, to enable debug logging to a file:
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE log4j:configuration SYSTEM "log4j.dtd">
<log4j:configuration debug="false" xmlns:log4j='http://jakarta.apache.org/log4j/'>
<appender name="FILE" class="org.apache.log4j.FileAppender">
<param name="file" value="logs/client/log.out"/>
<param name="immediateFlush" value="true"/>
<param name="threshold" value="debug"/>
<param name="append" value="false"/>
<layout class="org.apache.log4j.PatternLayout">
<param name="conversionPattern" value="%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n"/>
</layout>
</appender>
<root>
<level value="DEBUG"/>
<appender-ref ref="FILE"/>
</root>
</log4j:configuration>
Run mvn clean install
command in ncdssdk-client project (https://github.com/Nasdaq/CloudDataService/tree/master/ncdssdk-client). It will generate the jar file in target file.
How to run the jar:
-opt -- Provide the operation you want to perform \n" +
" * TOP - View the top nnn records in the Topic/Stream\n"+
" * SCHEMA - Display the Schema for the topic\n"+
" * METRICS - Display the Metrics for the topic\n"+
" * TOPICS - List of streams available on Nasdaq Cloud DataService\n"+
" * GETMSG - Get one example message for the\n"+
" * CONTSTREAM - Retrieve continuous stream \n"+
" * FILTERSTREAM - Retrieve continuous stream filtered by symbols and/or msgtypes \n"+
" * NEWS - Get stream for Pro Global news stream\n"+
" * HELP - help \n"+
"-topic -- Provide topic for selected option --- REQUIRED for TOP,SCHEMA,METRICS,GETMSG,CONTSTREAM,FILTERSTREAM and NEWS \n"+
"-symbols -- Provide symbols comma separated list --- OPTIONAL for FILTERSTREAM"+
"-msgtypes -- Provide msgtypes comma separated list --- OPTIONAL for FILTERSTREAM"+
"-authprops -- Provide Client Properties File path --- For using different set of Client Authentication Properties \n"+
"-kafkaprops -- Provide Kafka Properties File path --- For using different set of Kafka Properties \n"+
"-n -- Provide number of messages to retrieve --- REQUIRED for TOP \n"+
"-msgName -- Provide name of message based on schema --- REQUIRED for GETMSG \n"+
"-timestamp -- Provide timestamp in milliseconds --- OPTIONAL for TOP, CONTSTREAM and FILTERSTREAM\n"
Few examples to use jar:
Get first 100 records for given stream
java -jar ncdssdk-client.jar -opt TOP -n 100 -topic GIDS
Get all available streams
java -jar ncdssdk-client.jar -opt TOPICS
List all available data stream for the user.
// Example1.java
NCDSClient ncdsClient = new NCDSClient();
String[] topics = ncdsClient.ListTopicsForTheClient();
System.out.println("Entitled DataSet Topics:" );
for (String topicEntry : topics) {
System.out.println(topicEntry);
}
Example output:
List of streams available on Nasdaq Cloud DataService:
GIDS
NLSUTP
NLSCTA
This methods returns the schema for the stream in Apache Avro format (https://avro.apache.org/docs/current/spec.html).
// Example2.java
NCDSClient ncdsClient = new NCDSClient();
String topic = "GIDS";
String schema = ncdsClient.getSchemaForTheTopic(topic);
System.out.println(schema);
Example output:
[ {
"type" : "record",
"name" : "SeqCommoditySummary",
"namespace" : "com.nasdaq.marketdata.sequencer.applications.datafeed.gids20feed.messaging",
"fields" : [ {
"name" : "SoupPartition",
"type" : "int"
}, {
"name" : "SoupSequence",
"type" : "long"
}, {
"name" : "msgType",
"type" : "string"
}, {
"name" : "timeStamp",
"type" : "int"
}, {
"name" : "fpType",
"type" : "string"
}, {
"name" : "brand",
"type" : "string"
}, {
"name" : "series",
"type" : "string"
}, {
"name" : "instrumentID",
"type" : "string"
}, {
"name" : "summaryType",
"type" : "string"
}, {
"name" : "sodValue",
"type" : "long"
}, {
"name" : "high",
"type" : "long"
},
}........
....]
This returns the first 10 available messages of the stream.
// Example2.java
NCDSClient ncdsClient = new NCDSClient();
String topic="NLSCTA";
ConsumerRecords<String, GenericRecord> records = ncdsClient.topMessages(topic);
for (ConsumerRecord<String, GenericRecord> record : records) {
System.out.println("key:" + record.key());
System.out.println("value:" + record.value().toString());
}
Example output:
key:1
value:{"SoupPartition": 0, "SoupSequence": 1, "trackingID": 7238625218217, "msgType": "S", "event": "O"}
key:2
value:{"SoupPartition": 0, "SoupSequence": 2, "trackingID": 11231714567789, "msgType": "R", "symbol": "A ", "marketClass": "N", "fsi": " ", "roundLotSize": 100, "roundLotOnly": "N", "issueClass": "C", "issueSubtype": "Z ", "authenticity": "P", "shortThreshold": "N", "ipo": " ", "luldTier": "1", "etf": "N", "etfFactor": 0, "inverseETF": "N", "compositeId": "BBG000C2V3D6"}
key:3
value:{"SoupPartition": 0, "SoupSequence": 3, "trackingID": 11231714567789, "msgType": "G", "symbol": "A ", "securityClass": "N", "adjClosingPrice": 766400}
key:4
value:{"SoupPartition": 0, "SoupSequence": 4, "trackingID": 11231714628669, "msgType": "R", "symbol": "AA ", "marketClass": "N", "fsi": " ", "roundLotSize": 100, "roundLotOnly": "N", "issueClass": "C", "issueSubtype": "Z ", "authenticity": "P", "shortThreshold": "N", "ipo": " ", "luldTier": "1", "etf": "N", "etfFactor": 1, "inverseETF": "N", "compositeId": "BBG00B3T3HD3"}
key:5
value:{"SoupPartition": 0, "SoupSequence": 5, "trackingID": 11231714628669, "msgType": "G", "symbol": "AA ", "securityClass": "N", "adjClosingPrice": 225300}
key:6
value:{"SoupPartition": 0, "SoupSequence": 6, "trackingID": 11231714675278, "msgType": "R", "symbol": "AAAU ", "marketClass": "P", "fsi": " ", "roundLotSize": 100, "roundLotOnly": "N", "issueClass": "Q", "issueSubtype": "I ", "authenticity": "P", "shortThreshold": "N", "ipo": " ", "luldTier": "2", "etf": "Y", "etfFactor": 1, "inverseETF": "N", "compositeId": "BBG00LPXX872"}
key:7
value:{"SoupPartition": 0, "SoupSequence": 7, "trackingID": 11231714675278, "msgType": "G", "symbol": "AAAU ", "securityClass": "P", "adjClosingPrice": 145600}
key:8
value:{"SoupPartition": 0, "SoupSequence": 8, "trackingID": 11231714764805, "msgType": "R", "symbol": "AADR ", "marketClass": "P", "fsi": " ", "roundLotSize": 100, "roundLotOnly": "N", "issueClass": "Q", "issueSubtype": "I ", "authenticity": "P", "shortThreshold": "N", "ipo": " ", "luldTier": "2", "etf": "Y", "etfFactor": 0, "inverseETF": "N", "compositeId": "BBG000BDYRW6"}
key:9
value:{"SoupPartition": 0, "SoupSequence": 9, "trackingID": 11231714764805, "msgType": "G", "symbol": "AADR ", "securityClass": "P", "adjClosingPrice": 499000}
key:10
value:{"SoupPartition": 0, "SoupSequence": 10, "trackingID": 11231714853049, "msgType": "R", "symbol": "AAMC ", "marketClass": "A", "fsi": " ", "roundLotSize": 100, "roundLotOnly": "N", "issueClass": "C", "issueSubtype": "Z ", "authenticity": "P", "shortThreshold": "N", "ipo": " ", "luldTier": "2", "etf": "N", "etfFactor": 0, "inverseETF": "N", "compositeId": "BBG003PNL136"}
This returns the first 10 available messages of the stream from given timestamp in milliseconds since the UNIX epoch.
// Example3.java
NCDSClient ncdsClient = new NCDSClient();
String topic="NLSCTA";
Long timestamp = 1590084445610L; // This is timestamp in millseconds from UNIX epoch. (https://currentmillis.com/)
ConsumerRecords<String, GenericRecord> records = ncdsClient.topMessages(topic, timestamp);
for (ConsumerRecord<String, GenericRecord> record : records) {
System.out.println("key:" + record.key());
System.out.println("value:" + record.value().toString());
}
Example output:
Offset: 105834100
Top 10 Records for the Topic:NLSCTA
key:9362630
value :{"SoupPartition": 0, "SoupSequence": 9362630, "trackingID": 50845551492208, "msgType": "T", "marketCenter": "L", "symbol": "SIVR ", "securityClass": "P", "controlNumber": "0000A2MLOB", "price": 164797, "size": 1, "saleCondition": "@ o", "cosolidatedVolume": 520174}
key:9362631
value :{"SoupPartition": 0, "SoupSequence": 9362631, "trackingID": 50845557908136, "msgType": "T", "marketCenter": "Q", "symbol": "TJX ", "securityClass": "N", "controlNumber": " 8358213", "price": 540300, "size": 100, "saleCondition": "@ ", "cosolidatedVolume": 16278768}
key:9362632
value :{"SoupPartition": 0, "SoupSequence": 9362632, "trackingID": 50845565203932, "msgType": "T", "marketCenter": "L", "symbol": "CMI ", "securityClass": "N", "controlNumber": "0000A2MLOC", "price": 1579900, "size": 100, "saleCondition": "@ ", "cosolidatedVolume": 568622}
key:9362633
value :{"SoupPartition": 0, "SoupSequence": 9362633, "trackingID": 50845565791061, "msgType": "T", "marketCenter": "L", "symbol": "UTI ", "securityClass": "N", "controlNumber": "0000A2MLOD", "price": 70150, "size": 64, "saleCondition": "@ o", "cosolidatedVolume": 151359}
key:9362634
value :{"SoupPartition": 0, "SoupSequence": 9362634, "trackingID": 50845566628604, "msgType": "T", "marketCenter": "L", "symbol": "UFS ", "securityClass": "N", "controlNumber": "0000A2MLOE", "price": 203660, "size": 24, "saleCondition": "@ o", "cosolidatedVolume": 664962}
key:9362635
value :{"SoupPartition": 0, "SoupSequence": 9362635, "trackingID": 50845569154140, "msgType": "T", "marketCenter": "L", "symbol": "KR ", "securityClass": "N", "controlNumber": "0000A2MLOF", "price": 320350, "size": 100, "saleCondition": "@ ", "cosolidatedVolume": 4054473}
key:9362636
value :{"SoupPartition": 0, "SoupSequence": 9362636, "trackingID": 50845577944984, "msgType": "T", "marketCenter": "L", "symbol": "PAGP ", "securityClass": "N", "controlNumber": "0000A2MLOG", "price": 98350, "size": 100, "saleCondition": "@ ", "cosolidatedVolume": 1557084}
key:9362637
value :{"SoupPartition": 0, "SoupSequence": 9362637, "trackingID": 50845588007117, "msgType": "T", "marketCenter": "L", "symbol": "LUV ", "securityClass": "N", "controlNumber": "0000A2MLOH", "price": 297413, "size": 4, "saleCondition": "@ o", "cosolidatedVolume": 16791899}
key:9362638
value :{"SoupPartition": 0, "SoupSequence": 9362638, "trackingID": 50845596356365, "msgType": "T", "marketCenter": "L", "symbol": "M ", "securityClass": "N", "controlNumber": "0000A2MLOI", "price": 54000, "size": 10, "saleCondition": "@ o", "cosolidatedVolume": 39273663}
key:9362639
value :{"SoupPartition": 0, "SoupSequence": 9362639, "trackingID": 50845600594567, "msgType": "T", "marketCenter": "L", "symbol": "TTM ", "securityClass": "N", "controlNumber": "0000A2MLOJ", "price": 56000, "size": 400, "saleCondition": "@ ", "cosolidatedVolume": 1293244}
Print message to the console for given message name.
NCDSClient ncdsClient = new NCDSClient();
String topic="GIDS"
ncdsClient.getSampleMessages(topic, "SeqIndexDirectory");
Example output:
{"SoupPartition": 0, "SoupSequence": 193, "msgType": "R", "timeStamp": 224140137, "instrumentID": "NQJP3700LMCAD ", "disseminationFlag": "Y", "fpType": "I", "brand": "NQ", "series": "NQG", "strategy": "SEC", "assetType": "EQ", "marketCapSize": "X", "currency": "CAD", "geography": "JP ", "settlementType": " ", "calculationMethod": "PR ", "state": "A", "indexUsage": "L", "schedule": "ASI", "frequency": "ODCL", "numberOfIssueParticipation": 23, "baseValue": 100000000000000, "baseDate": 20140111, "instrumentName": "NASDAQ Japan Psnl & Hhld Goods Lg Md Cap CAD"}
NCDSClient ncdsClient = new NCDSClient();
String topic="GIDS"
Consumer consumer = ncdsClient.NCDSKafkaConsumer(topic);
while (true) {
ConsumerRecords<String, GenericRecord> records = consumer.poll(Duration.ofMinutes(Integer.parseInt("1")));
if (records.count() == 0) {
System.out.println("No Records Found for the Topic:" + topic);
}
for (ConsumerRecord<String, GenericRecord> record : records) {
System.out.println("value :" + record.value().toString());
}
}
NCDSClient ncdsClient = new NCDSClient();
String topic="NEWS-PRO-GLOBAL"
Consumer consumer = ncdsClient.NCDSNewsKafkaConsumer(topic);
while (true) {
ConsumerRecords<String, GenericRecord> records = consumer.poll(Duration.ofMinutes(Integer.parseInt("1")));
if (records.count() == 0) {
System.out.println("No Records Found for the News");
}
for (ConsumerRecord<String, GenericRecord> record : records) {
System.out.println("News :" + News.newsBuilder(record.value()).toString());
}
}
Example output:
News :ReleaseTime: 2020/04/03 14:40:00
TransmissionID: A2136726
RevisionID: 0
Retract: FALSE
StoryType:
TechnicalStory: FALSE
metaDataNode:
STOK.MN
EARN.MN
USUS.MN
NOAM.MN
INBY.MN
INSL.MN
FOR4.MN
EECH.MN
HeadLine: {Headlines}
Body:
{Body}
Tickers: {tickers}
CopyRight: Copyright © 2020 MT Newswires, All Rights reserved. Data provided by UpTick Data Technologies.
ISIN: null
ArticleImage: null
-----------------------------------------------------------------------------------------------
- To list of streams available on Nasdaq Cloud DataService
java -jar ncdssdk-client.jar -opt TOPICS
- To display the schema for the given topic
java -jar ncdssdk-client.jar -opt SCHEMA -topic NLSUTP
- To dump top n records from the given topic
java -jar ncdssdk-client.jar -opt TOP -n 10 -topic NLSUTP
- To use client based specific authorization file instead of using from the resources of client code base
java -jar ncdssdk-client.jar -opt TOP -n 10 -topic NLSUTP -authprops clntauth.properties
- To use the specific kafka properties instead of using the kafka properties from the resources of the client base code
java -jar ncdssdk-client.jar -opt TOP -n 10 -topic NLSUTP -kafkaprops kafkaprops.properties
- To use the specific client based authorization file and specific kafka properties file
java -jar ncdssdk-client.jar -opt TOP -n 10 -topic NLSUTP -authprops clntauth.properties -kafkaprops kafkaprops.properties
- To display a specific message type
java -jar ncdssdk-client.jar -opt GETMSG -topic UTPBIN-UF30 -msgName SeqTradeLong
- To dump top n records from the given topic from given timestamp in milliseconds since the UNIX epoch
java -jar ncdssdk-client.jar -opt TOP -n 10 -topic NLSUTP -timestamp 1590084445610
- To get filtered stream by symbols or/and message-types
java -jar ncdssdk-client.jar -opt FILTERSTREAM -topic NLSUTP -symbols AAPL,NDAQ -msgtypes SeqTradeReportMessage
- To get all messages for given type messagtype
java -jar ncdssdk-client.jar -opt GETALLMSGS -topic NLSUTP -msgName SeqTradeReportMessage
An addition to the example application, there is extra documentation at the package and class level within the JavaDocs, which are located in project https://github.com/Nasdaq/CloudDataService/tree/master/ncds-sdk/docs
If you make an update, you can run mvn javadocs:javadocs
to update documents.
Docker images are already configured to run the SDK. View the instructions (https://github.com/Nasdaq/CloudDataService/blob/master/docker/README.md)
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Code and documentation released under the Apache License, Version 2.0