Documentation
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Getting Started
Introduction
Our API provides access to market news for global exchanges, and trading data for US stocks, sourced from IEX. We also provide near real-time and historical crypto and forex data.
Business + stock market news and analysis APIs can be used to create news feeds. News feed APIs can be filtered with numerous criteria, including symbol, type, exchange, industry, country and much more.
Our news data allow us to identify which stocks are trending (i.e. mentioned more frequently than normal) and identify best and worst performing stocks based on sentiment, all of which is available from our market news analysis endpoints.
We support over 5,000 news sources globally in over 30 languages, tracking over 150,000 entities every minute from over 70 markets worldwide.
Data provided by this API and website is indicative and not appropriate for trading purposes.
To get started simply sign up and use your API token in any of the available API endpoints documented below for instant access.
If you have any questions or concerns, feel free to contact us.
Authentication
When you sign up for free you will find your API token on your dashboard. Simply add this to any of our API endpoints as a GET parameter to gain access. Examples of how this is done can be found below.
API Endpoints
Stock Data Prices
Stock prices Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/data/quote HTTP/1.1
Get prices for US-listed stocks using this endpoint, updated from trade reports from IEX. Also includes pre and post market data (see extended_hours
parameter).
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
true | Specify symbol(s) to return data for. See limits on symbols per request on our pricing page. Example: symbols=AAPL,TSLA,MSFT
|
extended_hours |
false | Include pre and post market data when set to true. |
key_by_ticker |
false | Key each quote by the ticker/symbol. |
Response Objects
name | description |
---|---|
meta > requested |
The number of symbols requested. |
meta > returned |
The number of symbols returned. |
data > ticker |
The symbol/ticker of the quote. |
data > name |
The name of the stock. |
data > exchange_short |
The listing exchange of the stock (short code). |
data > exchange_long |
The listing exchange of the stock (full name). |
data > mic_code |
The exchanges ISO 10383 market identifier code. |
data > currency |
Currency of the stock. |
data > price |
Last trade price. |
data > day_high |
Highest trade price that day. |
data > day_low |
Lowest trade price that day. |
data > day_open |
Opening price. |
data > 52_week_high |
Highest trade price in the past 52 weeks. |
data > 52_week_low |
Lowest trade price in the past 52 weeks. |
data > market_cap |
Market cap of the stock. |
data > previous_close_price |
Previous close price. |
data > previous_close_price_time |
Time of the previous close price (local time). |
data > day_change |
Percentage difference between price and previous_close_price. |
data > volume |
Total of all trades for the stock. |
data > is_extended_hours_price |
Boolean to identify if the quote is provided from extended hours data. |
data > last_trade_time |
The time the last trade was identified (local time). |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/data/quote?symbols=AAPL%2CTSLA%2CMSFT&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"requested": 3,
"returned": 3
},
"data": [
{
"ticker": "TSLA",
"name": "Tesla Inc",
"exchange_short": null,
"exchange_long": null,
"mic_code": "IEXG",
"currency": "USD",
"price": 267.46,
"day_high": 278.32,
"day_low": 266.72,
"day_open": 270.75,
"52_week_high": 314.67,
"52_week_low": 101.81,
"market_cap": null,
"previous_close_price": 273.63,
"previous_close_price_time": "2023-09-11T16:00:00.000000",
"day_change": -2.31,
"volume": 796531,
"is_extended_hours_price": false,
"last_trade_time": "2023-09-12T16:00:00.000000"
},
{
"ticker": "AAPL",
"name": "Apple Inc",
"exchange_short": null,
"exchange_long": null,
"mic_code": "IEXG",
"currency": "USD",
"price": 176.29,
"day_high": 180.11,
"day_low": 174.84,
"day_open": 179.46,
"52_week_high": 186.51,
"52_week_low": 124.17,
"market_cap": null,
"previous_close_price": 179.4,
"previous_close_price_time": "2023-09-11T15:59:59.000000",
"day_change": -1.76,
"volume": 1454605,
"is_extended_hours_price": false,
"last_trade_time": "2023-09-12T16:00:00.000000"
},
{
"ticker": "V",
"name": "Visa Inc",
"exchange_short": null,
"exchange_long": null,
"mic_code": "IEXG",
"currency": "USD",
"price": 247.31,
"day_high": 247.74,
"day_low": 246.14,
"day_open": 246.66,
"52_week_high": 235.57,
"52_week_low": 174.6,
"market_cap": null,
"previous_close_price": 247.24,
"previous_close_price_time": "2023-09-11T15:59:59.000000",
"day_change": 0.03,
"volume": 119599,
"is_extended_hours_price": false,
"last_trade_time": "2023-09-12T15:59:56.000000"
}
]
}
Intraday data (adjusted) Available on: Standard plan and above
Endpoint
GET https://api.stockdata.org/v1/data/intraday/adjusted HTTP/1.1
Get intraday data for US-listed stocks using this endpoint, updated from trade reports from IEX. Also includes pre and post market data (see extended_hours
parameter).
You can obtain 6+ years of historical intraday data using this endpoint. This endpoint provides historical intraday data adjusted for splits.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
true | Specify symbol(s) to return data for. See limits on symbols per request on our pricing page. Example: symbols=AAPL
|
interval |
false | Specify the interval at which you want to retrieve data. Options: minute | hour Default interval=minute IMPORTANT: the max range for minute interval is 7 days and 180 days for the hour interval due to these intervals retrieving a lot of data. If the range from the date_from and date_to parameters is larger than these limits, the max interval will be applied starting at the
date_from parameter. If the date parameters are omitted the max range will be applied.
|
sort |
false | Specify the sort order by date. Options: asc | desc Default desc
|
date_from |
false | Find all data after the specified date. Supported formats include:
Y-m-d | Y-m | Y .
Examples: 2024-10-14 |
2024-10 |
2024
|
date_to |
false | Find all data before the specified date. Supported formats include:
Y-m-d | Y-m | Y .
Examples: 2024-10-14 |
2024-10 |
2024
|
date |
false | Find all data on the specified date. Supported formats include:
Y-m-d .
Example: 2024-10-14
|
extended_hours |
false | Include pre and post market data when set to true. |
key_by_date |
false | Key each result by date/time. |
key_by_ticker |
false | Key each quote by the ticker/symbol. |
format |
false | Get result as CSV. Default is JSON.
Example: format=csv
|
Response Objects
name | description |
---|---|
meta > date_from |
Date that data was collected from. |
meta > date_to |
Date that data was collected to. This will be overridden if the interval max period is exceeded. |
meta > max_period_days |
Max period in days depending on the interval . Will return null if no max period is specified for the interval. |
data > date |
Date of the related data (local time). |
data > ticker |
The symbol/ticker of the quote. |
data > data > open |
Open price for the specified date/time range. |
data > data > high |
Highest price for the specified date/time range. |
data > data > low |
Lowest price for the specified date/time range. |
data > data > close |
Close price for the specified date/time range. |
data > data > volume |
Trading volume for the specified date/time range. |
data > data > is_extended_hours |
Specifies if the open price in the time frame is a pre/post trading hours price. Mainly useful for the minute interval. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/data/intraday/adjusted?symbols=AAPL&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"date_from": "2023-09-11",
"date_to": "2023-09-14",
"max_period_days": 7
},
"data": [
{
"date": "2023-09-12T16:00:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.29,
"high": 176.29,
"low": 176.29,
"close": 176.29,
"volume": 300,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:59:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.31,
"high": 176.46,
"low": 176.22,
"close": 176.41,
"volume": 22946,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:58:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.3,
"high": 176.32,
"low": 176.25,
"close": 176.3,
"volume": 9442,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:57:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.29,
"high": 176.33,
"low": 176.25,
"close": 176.31,
"volume": 11994,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:56:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.27,
"high": 176.29,
"low": 176.24,
"close": 176.29,
"volume": 11966,
"is_extended_hours": false
}
},
...
]
}
Intraday data (unadjusted) Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/data/intraday HTTP/1.1
Get intraday data for US-listed stocks using this endpoint, updated from trade reports from IEX. Also includes pre and post market data (see extended_hours
parameter).
You can also obtain 6+ years of historical intraday data using this endpoint. Note that this endpoint provides unadjusted historical intraday data.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
true | Specify symbol(s) to return data for. See limits on symbols per request on our pricing page. Example: symbols=AAPL
|
interval |
false | Specify the interval at which you want to retrieve data. Options: minute | hour Default interval=minute IMPORTANT: the max range for minute interval is 7 days and 180 days for the hour interval due to these intervals retrieving a lot of data. If the range from the date_from and date_to parameters is larger than these limits, the max interval will be applied starting at the
date_from parameter. If the date parameters are omitted the max range will be applied.
|
sort |
false | Specify the sort order by date. Options: asc | desc Default desc
|
date_from |
false | Find all data after the specified date. Supported formats include:
Y-m-d | Y-m | Y .
Examples: 2024-10-14 |
2024-10 |
2024
|
date_to |
false | Find all data before the specified date. Supported formats include:
Y-m-d | Y-m | Y .
Examples: 2024-10-14 |
2024-10 |
2024
|
date |
false | Find all data on the specified date. Supported formats include:
Y-m-d .
Example: 2024-10-14
|
extended_hours |
false | Include pre and post market data when set to true. |
key_by_date |
false | Key each result by date/time. |
key_by_ticker |
false | Key each quote by the ticker/symbol. |
format |
false | Get result as CSV. Default is JSON.
Example: format=csv
|
Response Objects
name | description |
---|---|
meta > date_from |
Date that data was collected from. |
meta > date_to |
Date that data was collected to. This will be overridden if the interval max period is exceeded. |
meta > max_period_days |
Max period in days depending on the interval . Will return null if no max period is specified for the interval. |
data > date |
Date of the related data (local time). |
data > ticker |
The symbol/ticker of the quote. |
data > data > open |
Open price for the specified date/time range. |
data > data > high |
Highest price for the specified date/time range. |
data > data > low |
Lowest price for the specified date/time range. |
data > data > close |
Close price for the specified date/time range. |
data > data > volume |
Trading volume for the specified date/time range. |
data > data > is_extended_hours |
Specifies if the open price in the time frame is a pre/post trading hours price. Mainly useful for the minute interval. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/data/intraday?symbols=AAPL&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"date_from": "2023-09-11",
"date_to": "2023-09-14",
"max_period_days": 7
},
"data": [
{
"date": "2023-09-12T16:00:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.29,
"high": 176.29,
"low": 176.29,
"close": 176.29,
"volume": 300,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:59:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.31,
"high": 176.46,
"low": 176.22,
"close": 176.41,
"volume": 22946,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:58:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.3,
"high": 176.32,
"low": 176.25,
"close": 176.3,
"volume": 9442,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:57:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.29,
"high": 176.33,
"low": 176.25,
"close": 176.31,
"volume": 11994,
"is_extended_hours": false
}
},
{
"date": "2023-09-12T15:56:00.000Z",
"ticker": "AAPL",
"data": {
"open": 176.27,
"high": 176.29,
"low": 176.24,
"close": 176.29,
"volume": 11966,
"is_extended_hours": false
}
},
...
]
}
End-of-day historical data Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/data/eod HTTP/1.1
Get historical end of day data for US stocks, adjusted for splits.
This endpoint also supports crypto and forex history.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
true | Specify symbol to return data for. Example: symbols=AAPL
|
interval |
false | Specify the interval at which you want to retrieve data. Options: day | week | month | quarter | year Default interval=day
|
sort |
false | Specify the sort order by date. Options: asc | desc Default desc
|
date_from |
false | Find all data after the specified date. Supported formats include:
Y-m-d | Y-m | Y .
Examples: 2024-10-14 |
2024-10 |
2024
|
date_to |
false | Find all data before the specified date. Supported formats include:
Y-m-d | Y-m | Y .
Examples: 2024-10-14 |
2024-10 |
2024
|
date |
false | Find all data on the specified date. Supported formats include:
Y-m-d .
Example: 2024-10-14
|
key_by_date |
false | Key each result by date/time. |
format |
false | Get result as CSV. Default is JSON.
Example: format=csv
|
Response Objects
name | description |
---|---|
meta > date_from |
Date that data was collected from. |
meta > date_to |
Date that data was collected to. This will be overridden if the interval max period is exceeded. |
meta > max_period_days |
Max period in days depending on the interval . Will return null if no max period is specified for the interval. |
data > date |
Date of the related data (local time). |
data > ticker |
The symbol/ticker of the quote. |
data > data > open |
Open price for the specified date/time range. |
data > data > high |
Highest price for the specified date/time range. |
data > data > low |
Lowest price for the specified date/time range. |
data > data > close |
Close price for the specified date/time range. |
data > data > volume |
Trading volume for the specified date/time range. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/data/eod?symbols=AAPL&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"date_from": "2023-03-18",
"date_to": "2023-09-14",
"max_period_days": 180
},
"data": [
{
"date": "2023-09-12T00:00:00.000Z",
"open": 179.49,
"high": 180.11,
"low": 174.84,
"close": 176.29,
"volume": 1454605
},
{
"date": "2023-09-11T00:00:00.000Z",
"open": 180.08,
"high": 180.3,
"low": 177.35,
"close": 179.39,
"volume": 909570
},
{
"date": "2023-09-08T00:00:00.000Z",
"open": 178.33,
"high": 180.23,
"low": 177.82,
"close": 178.2,
"volume": 1135994
},
{
"date": "2023-09-07T00:00:00.000Z",
"open": 175.22,
"high": 178.21,
"low": 173.55,
"close": 177.6,
"volume": 2195944
},
{
"date": "2023-09-06T00:00:00.000Z",
"open": 188.39,
"high": 188.7,
"low": 181.47,
"close": 182.89,
"volume": 2116076
},
...
]
}
Stock Splits and Dividends
Stock splits Available on: Standard plan and above
Endpoint
GET https://api.stockdata.org/v1/data/splits HTTP/1.1
Get stock splits.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
true | Specify symbol to return data for. Example: symbols=AAPL
|
Response Objects
name | description |
---|---|
data > ticker |
The symbol/ticker of the split. |
data > date |
Date of the related data (local time). |
data > numerator |
The split numerator. |
data > denominator |
The split denominator. |
data > ratio |
The split numerator to denominator ratio. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/data/splits?symbols=AAPL&api_token=YOUR_API_TOKEN
Example Response
{
"data": [
{
"ticker": "AAPL",
"date": "1987-06-16",
"numerator": 2,
"denominator": 1,
"ratio": "2:1"
},
{
"ticker": "AAPL",
"date": "2000-06-21",
"numerator": 2,
"denominator": 1,
"ratio": "2:1"
},
{
"ticker": "AAPL",
"date": "2005-02-28",
"numerator": 2,
"denominator": 1,
"ratio": "2:1"
},
...
]
}
Stock dividends Available on: Standard plan and above
Endpoint
GET https://api.stockdata.org/v1/data/dividends HTTP/1.1
Get stock dividends.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
true | Specify symbol to return data for. Example: symbols=AAPL
|
Response Objects
name | description |
---|---|
data > ticker |
The symbol/ticker of the split. |
data > date |
Date of the related data (local time). |
data > amount |
The dividend amount. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/data/dividends?symbols=AAPL&api_token=YOUR_API_TOKEN
Example Response
{
"data": [
{
"ticker": "AAPL",
"date": "1987-05-11",
"amount": 0.00054
},
{
"ticker": "AAPL",
"date": "1987-08-10",
"amount": 0.00054
},
{
"ticker": "AAPL",
"date": "1987-11-17",
"amount": 0.00071
},
...
]
}
Crypto and Forex Data
EOD crypto and forex data Available on: All plans
End of day crypto and forex data is available from the stock end-of-day data endpoint.
News Feeds
Finance & Market News Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/news/all HTTP/1.1
Get all the latest global financial news and filter by entities identified within articles to build concise news feeds. Also provided is analysis of each entity identified in articles.
Note that not every article may have entities identified. To retrieve all news for articles with identified entities, use the parameter must_have_entities
,
or specify any of the entity params such as symbols
or exchanges
as defined below to produce more concise results.
All news dates are returned as UTC +0.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
false | Specify entity symbol(s) which have been identified within the article. Find entity symbols in our entity search endpoint. Example: symbols=TSLA,AMZN,MSFT
|
entity_types |
false | Specify the type of entities which have been identified within the article. Find entity types in our entity type metadata endpoint. Example: entity_types=index,equity
|
industries |
false | Specify the industries of entities which have been identified within the article. Find entity types in our entity industry metadata endpoint. Example: industries=Technology,Industrials
|
countries |
false | Specify the country of the exchange of which entities have been identified within the article. Find countries as part of our entity exchanges metadata endpoint. Example: countries=us,ca
|
sentiment_gte |
false | Use this to find all articles with entities with a sentiment_score of greater than or equal to x .Example: sentiment_gte=0 - this will find all articles which are neutral or positiveSentiment is between -1 and +1. Anything 0 = neutral, above 0 = positive, below 0 = negative. The higher or lower the sentiment score the more positive or negative it is identified as. |
sentiment_lte |
false | Use this to find all articles with entities with a sentiment_score of less than or equal to x .Example: sentiment_lte=0 - this will find all articles which are neutral or negative
|
min_match_score |
false | Use this to find all articles with entities with a match_score of geater than or equal to min_match_score . |
filter_entities |
false | By default all entities for each article are returned - by setting this to true, only the relevant entities to your query will be returned with each article.
For example, if you set symbols=TSLA and filter_entities=true , only "TSLA" entities will be returned with the articles.Default: false
|
must_have_entities |
false | By default all articles are returned, set this to true to ensure that at least one entity has been identified within the article. Default: false
|
group_similar |
false | Group similar articles to avoid displaying multiple articles on the same topic/subject. Default: true
|
search |
false | Use the search as a basic search tool by entering regular search terms or it has more advanced usage to build search queries:+ signifies AND operation| signifies OR operation- negates a single token" wraps a number of tokens to signify a phrase for searching* at the end of a term signifies a prefix query( and ) signify precedence
To use one of these characters literally, escape it with a preceding backslash ( \ ).
This searches the full body of the text and the title. Example: "ipo" -nyse (searches for articles which must include the string "ipo" but articles must NOT mention NYSE.)
For more advanced query examples, see our API Examples section. |
domains |
false | Comma separated list of domains to include. List of domains can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com,adage.com |
exclude_domains |
false | Comma separated list of domains to exclude |
source_ids |
false | Comma separated list of source_ids to include. List of source_ids can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com-1,adage.com-1 |
exclude_source_ids |
false | Comma separated list of source_ids to exclude. |
language |
false | Comma separated list of languages to include. Default is all.
Click here for a list of supported languages. Examples: en,es (English + Spanish)
|
published_before |
false | Find all articles published before the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_after |
false | Find all articles published after the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_on |
false | Find all articles published on the specified date. Supported formats include: Y-m-d .
Examples: 2024-10-14
|
sort |
false | Sort by published_on , entity_match_score , entity_sentiment_score or relevance_score (only available when used in conjunction with search ).
Default is published_at unless search is used and sorting by published_at is not included,
in which case relevance_score is used.When using entity_match_score , entity_sentiment_score this will sort by the average of the filtered entities (filter_entities does not need to be applied for this). |
sort_order |
false | Sort order of the sort parameter. NOTE: this can only be used with sort = entity_match_score or entity_sentiment_score .Options: desc | asc Default: desc
|
limit |
false | Specify the number of articles you want to return in the request. The maximum limit is based on your plan. The default limit is the maximum specified for your plan. |
page |
false | Use this to paginate through the result set. Default is 1. Note that the max result set can't exceed 20,000. For example if your limit is 50, the max page you can have is 400 (50 * 400 = 20,000).
Example: page=2
|
Response Objects
name | description |
---|---|
meta > found |
The number of articles found for the request. |
meta > returned |
The number of articles returned on the page.
This is useful to determine the end of the result set as if this is lower than limit , there are no more articles after this page. |
meta > limit |
The limit based on the limit parameter. |
meta > page |
The page number based on the page parameter. |
data > uuid |
The unique identifier for an article in our system. Store this and use it to find specific articles using our single article endpoint. |
data > title |
The article title. |
data > description |
The article meta description. |
data > keywords |
The article meta keywords. |
data > snippet |
A short snippet of the article body. |
data > url |
The URL to the article. |
data > image_url |
The URL to the article image. |
data > language |
The language of the source. |
data > published_at |
The datetime the article was published. |
data > source |
The domain of the source. |
data > relevance_score |
Relevance score based on the search parameter. If the search parameter is not used, this will be null . |
data > entities > symbol |
Symbol of the identified entity. |
data > entities > name |
Name of the identified entity. |
data > entities > exchange |
Exchange identifier of the identified entity. |
data > entities > exchange_long |
Exchange name of the identified entity. |
data > entities > country |
Exchange country of the identified entity. |
data > entities > type |
Type of the identified entity. |
data > entities > industry |
Industry of the identified entity. |
data > entities > match_score |
The overall strength of the matching for the identified entity. |
data > entities > sentiment_score |
Average sentiment of all highlighted text found for the identified entity. |
data > entities > highlights > highlight |
Snippet of text from the article where the entity has been identified. |
data > entities > highlights > sentiment |
The sentiment of the highlighed text. |
data > entities > highlights > highlighted_in |
Where the highlight was found (title | main_text ). |
data > similar |
Array of news articles which are very similar to the main article. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/news/all?symbols=TSLA%2CAMZN%2CMSFT&filter_entities=true&language=en&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"found": 113557,
"returned": 3,
"limit": 3,
"page": 1
},
"data": [
{
"uuid": "36d4ba57-fca4-4cbc-b8db-59d0290e7b09",
"title": "Dow Jones Touches Record Highs, Helped By These Economic Data Surprises",
"description": "Dow Jones stocks were flat on economic data as an inflation report looms. Shares of Google broke out, while Apple is in a buy zone.",
"keywords": "",
"snippet": "The Dow Jones Industrial Average started to take a breather Wednesday after scaling to record highs, but the index pared its losses by midday and headed for its...",
"url": "https://www.investors.com/market-trend/stock-market-today/dow-jones-flat-after-economic-data-magnificent-seven-stock-googl-breaks-out-to-new-high-apple-in-buy-zone/",
"image_url": "https://www.investors.com/wp-content/uploads/2018/12/stock-Google-13-shutter.jpg",
"language": "en",
"published_at": "2023-12-20T17:20:19.000000Z",
"source": "investors.com",
"relevance_score": null,
"entities": [
{
"symbol": "MSFT",
"name": "Microsoft Corporation",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 9.811225,
"sentiment_score": 0.3818,
"highlights": [
{
"highlight": "Microsoft (MSFT) and Chevron (CVX) also gained.\n\nCaterpillar (CAT) is near a buy point at 293.88. And Nike (NKE) is building a long cup base with a buy point of 131.31. Earnings are due Thursday.",
"sentiment": 0.3818,
"highlighted_in": "main_text"
}
]
}
],
"similar": [
{
"uuid": "58d9124b-c573-47b1-b230-f4e45b34b9d2",
"title": "Dow Jones Futures Fall Ahead Of Key Economic Data; FedEx Dives On Earnings",
"description": "Dow Jones futures dropped Wednesday ahead of key economic data. Shipping giant FedEx dived on weak earnings results.",
"keywords": "",
"snippet": "Dow Jones futures fell Wednesday, threatening to snap their nine-day win streak, as the stock market seemed ready to take a breather. Meanwhile, investors await...",
"url": "https://www.investors.com/market-trend/stock-market-today/dow-jones-nasdaq-threaten-to-snap-win-streak-fedex-dives-on-earnings/",
"image_url": "https://www.investors.com/wp-content/uploads/2017/10/stock-WallStreet-03-adobe.jpg",
"language": "en",
"published_at": "2023-12-20T13:13:35.000000Z",
"source": "investors.com",
"relevance_score": null,
"entities": [
{
"symbol": "QQQ",
"name": "Invesco QQQ Trust",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "etf",
"industry": "N/A",
"match_score": 32.388443,
"sentiment_score": -0.6486,
"highlights": [
{
"highlight": "Among U.S. exchange traded funds, the Nasdaq 100 tracker Invesco QQQ Trust (QQQ) moved down 0.3%, while the SPDR S&P 500 ETF (SPY) lost 0.2% early Wednesday.\n\nThe yield on the 10-year U.S. Treasury bond sank even lower, to 3.87% in premarket action. On Tuesday. the benchmark bounced to 3.92%, just off its lowest level since late July.",
"sentiment": -0.6486,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "^GSPC",
"name": "S&P 500",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "index",
"industry": "N/A",
"match_score": 25.122562,
"sentiment_score": 0.5154,
"highlights": [
{
"highlight": "X\n\nAhead of Wednesday's opening bell, Dow Jones futures fell 0.2% vs. fair value, as did S&P 500 futures. Tech-heavy Nasdaq 100 futures dropped 0.3% in premarket action.\n\nAmong U.S. exchange traded funds, the Nasdaq 100 tracker Invesco QQQ Trust (QQQ) moved down 0.3%, while the SPDR S&P 500 ETF (SPY) lost 0.2% early Wednesday.",
"sentiment": 0.6908,
"highlighted_in": "main_text"
},
{
"highlight": "The S&P 500 and the Dow Jones Industrial Average picked up 0.6% and 0.7%, respectively.\n\nThe Dow marked its fifth-straight record close on Tuesday. That's the first time it's done that since the five days ended Aug. 16, 2021, according to Dow Jones Market Data.",
"sentiment": 0.34,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "AAPL",
"name": "Apple Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 12.361347,
"sentiment_score": 0.56335,
"highlights": [
{
"highlight": "Dow Jones Leaders: Apple, Microsoft Two Dow Jones stocks in the Magnificent Seven, Apple (AAPL) and Microsoft (MSFT), traded lower ahead of today's stock market open. Apple stock moved up 0.5% Tuesday, as its breakout move looks to stabilize after recent two days of losses. Shares are barely above a cup-with-handle entry at 192.93.",
"sentiment": 0.296,
"highlighted_in": "main_text"
},
{
"highlight": "Apple shares were off 0.5% Wednesday. Microsoft stock added to its gains above a 366.78 cup-base buy point during Tuesday's 0.2% rise. And the software giant was down 0.3% Wednesday morning. Be sure to follow Scott Lehtonen on X, formerly known as Twitter, at @IBD_SLehtonen for more on growth stocks and the Dow Jones Industrial Average.",
"sentiment": 0.8307,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "AMAT",
"name": "Applied Materials, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 13.355015,
"sentiment_score": 0.7269,
"highlights": [
{
"highlight": "Company Name Symbol Correct Buy Point Type Of Buy Point Applied Materials (AMAT) 145.86 Alternate entry Caterpillar (CAT) 293.88 Cup base Netflix (NFLX) 482.70 Cup with handle Snowflake (SNOW) 192.66 Cup with handle\n\nSource: IBD Data As Of Dec. 20, 2023\n\nJoin IBD experts as they analyze leading stocks in the current stock market rally on IBD Live\n\nMagnificent",
"sentiment": 0.7269,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "NVDA",
"name": "NVIDIA Corporation",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 13.846456,
"sentiment_score": 0.6123,
"highlights": [
{
"highlight": "Correct Buy Point Type Of Buy Point Applied Materials (AMAT) 145.86 Alternate entry Caterpillar (CAT) 293.88 Cup base Netflix (NFLX) 482.70 Cup with handle Snowflake (SNOW) 192.66 Cup with handle\n\nSource: IBD Data As Of Dec. 20, 2023\n\nJoin IBD experts as they analyze leading stocks in the current stock market rally on IBD Live\n\nMagnificent Seven Stocks: Nvidia",
"sentiment": 0.7269,
"highlighted_in": "main_text"
},
{
"highlight": ", Tesla Among the so-called \"Magnificent Seven\" stocks, Tesla (TSLA) moved down 0.5% early Wednesday, while Nvidia (NVDA) dropped 0.6%.",
"sentiment": 0.5994,
"highlighted_in": "main_text"
},
{
"highlight": "Graphics-chip giant Nvidia lost nearly 1% Tuesday, snapping a five-day win streak. NVDA stock is at the top of the buy zone above a 476.09 double-bottom entry. Tesla stock rallied 2% Tuesday, closing back above an early entry at 252.75. The stock's big double-bottom pattern has a 278.98 buy point.",
"sentiment": 0.5106,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "MSFT",
"name": "Microsoft Corporation",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 12.196723,
"sentiment_score": 0.52975,
"highlights": [
{
"highlight": "Dow Jones Leaders: Apple, Microsoft Two Dow Jones stocks in the Magnificent Seven, Apple (AAPL) and Microsoft (MSFT), traded lower ahead of today's stock market open. Apple stock moved up 0.5% Tuesday, as its breakout move looks to stabilize after recent two days of losses. Shares are barely above a cup-with-handle entry at 192.93.",
"sentiment": 0.296,
"highlighted_in": "main_text"
},
{
"highlight": "Microsoft stock added to its gains above a 366.78 cup-base buy point during Tuesday's 0.2% rise. And the software giant was down 0.3% Wednesday morning. Be sure to follow Scott Lehtonen on X, formerly known as Twitter, at @IBD_SLehtonen for more on growth stocks and the Dow Jones Industrial Average.",
"sentiment": 0.7635,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "DDOG",
"name": "Datadog, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 17.787151,
"sentiment_score": 0.489067,
"highlights": [
{
"highlight": "Learn How To Time The Stock Market With IBD's ETF Market Strategy\n\nStock Market Today: Best Stocks To Buy And Watch\n\nIBD Leaderboard stock Datadog (DDOG), Monday.com (MNDY), IBD SwingTrader issue Netflix (NFLX) and Snowflake (SNOW) — along with Dow Jones stocks American Express (AXP), Caterpillar (CAT) and Visa (V) — are among the best stocks to buy",
"sentiment": 0.8555,
"highlighted_in": "main_text"
},
{
"highlight": "Datadog and ELF Beauty are featured in this Stocks Near A Buy Zone column.\n\nGet Real-time Buy And Sell Alerts On Stock Market Leaders With IBD Leaderboard\n\nDow Jones Stocks To Watch: CAT Eyes Buy Point\n\nFinancial leader American Express is extended past a 175.31 buy point in a cup with handle, after a 1.6% rally Tuesday.",
"sentiment": 0.5859,
"highlighted_in": "main_text"
},
{
"highlight": "IBD Leaderboard stock Datadog is breaking out past an alternate handle buy trigger at 120.26 after big gains in recent weeks. DDOG stock lost 0.5% Wednesday.\n\nMonday.com is in buy range past a 185.81 buy point in a cup with handle in the wake of the Dec. 14 breakout, according to IBD MarketSmith. MNDY stock dropped 1.2% Wednesday.",
"sentiment": 0.0258,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "TSLA",
"name": "Tesla, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Consumer Cyclical",
"match_score": 13.134539,
"sentiment_score": 0.576067,
"highlights": [
{
"highlight": "Point Type Of Buy Point Applied Materials (AMAT) 145.86 Alternate entry Caterpillar (CAT) 293.88 Cup base Netflix (NFLX) 482.70 Cup with handle Snowflake (SNOW) 192.66 Cup with handle\n\nSource: IBD Data As Of Dec. 20, 2023\n\nJoin IBD experts as they analyze leading stocks in the current stock market rally on IBD Live\n\nMagnificent Seven Stocks: Nvidia, Tesla",
"sentiment": 0.7269,
"highlighted_in": "main_text"
},
{
"highlight": "Among the so-called \"Magnificent Seven\" stocks, Tesla (TSLA) moved down 0.5% early Wednesday, while Nvidia (NVDA) dropped 0.6%.",
"sentiment": 0.5994,
"highlighted_in": "main_text"
},
{
"highlight": "Tesla stock rallied 2% Tuesday, closing back above an early entry at 252.75. The stock's big double-bottom pattern has a 278.98 buy point. Dow Jones Leaders: Apple, Microsoft Two Dow Jones stocks in the Magnificent Seven, Apple (AAPL) and Microsoft (MSFT), traded lower ahead of today's stock market open.",
"sentiment": 0.4019,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "MU",
"name": "Micron Technology, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Technology",
"match_score": 14.127843,
"sentiment_score": 0,
"highlights": [
{
"highlight": "Finally, late Wednesday, Micron Technology (MU) will report its quarterly earnings results.",
"sentiment": 0,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "NFLX",
"name": "Netflix, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Communication Services",
"match_score": 12.652122,
"sentiment_score": 0.808867,
"highlights": [
{
"highlight": "Learn How To Time The Stock Market With IBD's ETF Market Strategy\n\nStock Market Today: Best Stocks To Buy And Watch\n\nIBD Leaderboard stock Datadog (DDOG), Monday.com (MNDY), IBD SwingTrader issue Netflix (NFLX) and Snowflake (SNOW) — along with Dow Jones stocks American Express (AXP), Caterpillar (CAT) and Visa (V) — are among the best stocks to buy",
"sentiment": 0.8555,
"highlighted_in": "main_text"
},
{
"highlight": "V stock inched lower Wednesday.\n\n4 Top Growth Stocks To Watch In The Stock Market Rally\n\nStocks To Buy And Watch: NFLX Extends Gains\n\nIBD SwingTrader stock Netflix now ranks among the best stocks to buy and watch as it gained another 1.8% Tuesday. The streaming giant broke out past a 482.70 buy point in a cup with handle on Monday.",
"sentiment": 0.8442,
"highlighted_in": "main_text"
},
{
"highlight": "Company Name Symbol Correct Buy Point Type Of Buy Point Applied Materials (AMAT) 145.86 Alternate entry Caterpillar (CAT) 293.88 Cup base Netflix (NFLX) 482.70 Cup with handle Snowflake (SNOW) 192.66 Cup with handle\n\nSource: IBD Data As Of Dec. 20, 2023\n\nJoin IBD experts as they analyze leading stocks in the current stock market rally on IBD Live\n\nMagnificent",
"sentiment": 0.7269,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "^DJI",
"name": "Dow Jones Industrial Average",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "index",
"industry": "N/A",
"match_score": 35.017235,
"sentiment_score": 0.4872,
"highlights": [
{
"highlight": "The S&P 500 and the Dow Jones Industrial Average picked up 0.6% and 0.7%, respectively.\n\nThe Dow marked its fifth-straight record close on Tuesday. That's the first time it's done that since the five days ended Aug. 16, 2021, according to Dow Jones Market Data.",
"sentiment": 0.34,
"highlighted_in": "main_text"
},
{
"highlight": "Be sure to follow Scott Lehtonen on X, formerly known as Twitter, at @IBD_SLehtonen for more on growth stocks and the Dow Jones Industrial Average.",
"sentiment": 0.6344,
"highlighted_in": "main_text"
}
]
}
]
}
]
},
{
"uuid": "1d751e37-32de-4867-8327-1154878551ee",
"title": "Seven tech stocks that can broaden your exposure beyond the “Magnificent Seven”",
"description": "During the bull market of 2023, the \"Magnificent Seven\" stocks have dominated financial media coverage, and rightly so, but investors might want to gain...",
"keywords": "article_normal, Computers/Consumer Electronics, Software, Applications Software, Wholesalers, Retail/Wholesale, Motor Vehicle Dealing, Specialty Retailing, Computer Services, Market Research/Public Relations, Public Relations, Rating Agencies, Internet Search Engines, Real Estate Services/Transactions, Health Care, Advertising/Marketing/Public Relations, Business/Consumer Services, Building Materials/Products, Commercial/Industrial Real Estate, Computing, Real Estate/Construction, Data Services, Financial Services, Financial Technology, Online Service Providers, Medical Software, Healthcare Information Technologies, Real Estate, Retail, Specialized Consumer Services, Technology, Analyst Comment/Recommendation, Corporate Funding, Corporate Debt Instruments, Corporate Credit Ratings, Research/Development, Information Technology, Marketing, Corporate Actions, Corporate/Industrial News, Markets/Marketing, Market Research, Political/General News, Personal Finance, Real Estate/Property, Real Estate Listings, Equity Markets, Commodity/Financial Market News, Content Types, Commentary/Opinion, Factiva Filters, C&E Exclusion Filter, C&E Executive News Filter, C&E Industry News Filter, IWE Filter, Routine General News, Verisk Analytics Inc., VRSK, CoStar Group Inc., CSGP, Equifax Inc., EFX, IQVIA Holdings Inc., IQV, Zillow Group Inc. Cl C, Z, SPDR S&P 500 ETF Trust, SPY, Buffalo Mid Cap Fund;Invest, BUFMX, analyst comment, recommendation, corporate funding, corporate debt instruments, corporate credit ratings, research, development, information technology, marketing, corporate actions, corporate, industrial news, markets, market research, political, general news, personal finance, real estate, property, real estate listings, equity markets, commodity, financial market news, content types, commentary, opinion, factiva filters, c&e exclusion filter, c&e executive news filter, c&e industry news filter, iwe filter, routine general news, computers, consumer electronics, software, applications software, wholesalers, retail, wholesale, motor vehicle dealing, specialty retailing, computer services, public relations, rating agencies, internet search engines, real estate services, transactions, health care, advertising, business, consumer services, building materials, products, commercial, industrial real estate, computing, construction, data services, financial services, financial technology, online service providers, medical software, healthcare information technologies, specialized consumer services, technology",
"snippet": "During the bull market of 2023, the “Magnificent Seven” stocks have dominated financial media coverage, and rightly so. There is no question that this group...",
"url": "https://www.marketwatch.com/story/seven-tech-stocks-that-can-broaden-your-exposure-beyond-the-magnificent-seven-05f198d2?mod=mw_rss_topstories",
"image_url": "https://images.mktw.net/im-15783720/social",
"language": "en",
"published_at": "2023-12-20T17:11:00.000000Z",
"source": "marketwatch.com",
"relevance_score": null,
"entities": [
{
"symbol": "AMZN",
"name": "Amazon.com, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Consumer Cyclical",
"match_score": 8.500875,
"sentiment_score": 0,
"highlights": [
{
"highlight": "MSFT, +0.62% , Amazon.com Inc. AMZN, +0.30% , Nvidia Corp. AMZN, +0.30% , Alphabet Inc. GOOGL, +2.92% GOOG, +2.79% , Tesla Inc. TSLA, -0.58% and Meta Platforms Inc. META, +0.55% — the group makes up 28% of the SPY portfolio.",
"sentiment": 0,
"highlighted_in": "main_text"
}
]
},
{
"symbol": "TSLA",
"name": "Tesla, Inc.",
"exchange": null,
"exchange_long": null,
"country": "us",
"type": "equity",
"industry": "Consumer Cyclical",
"match_score": 7.166572,
"sentiment_score": 0.5994,
"highlights": [
{
"highlight": "GOOGL, +2.92% GOOG, +2.79% , Tesla Inc. TSLA, -0.58% and Meta Platforms Inc. META, +0.55% — the group makes up 28% of the SPY portfolio.\n\nIf we weight the Magnificent Seven by their market capitalizations at the end of last year, the group has contributed 58% of this year’s 26% total return for the S&P 500.",
"sentiment": 0.5994,
"highlighted_in": "main_text"
}
]
}
],
"similar": []
},
...
]
}
Similar News Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/news/similar/uuid HTTP/1.1
Use this endpoint to find similar stories to a specific article based on its UUID.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
symbols |
false | Specify entity symbol(s) which have been identified within the article. Find entity symbols in our entity search endpoint. Example: symbols=TSLA,AMZN,MSFT
|
entity_types |
false | Specify the type of entities which have been identified within the article. Find entity types in our entity type metadata endpoint. Example: entity_types=index,equity
|
industries |
false | Specify the industries of entities which have been identified within the article. Find entity types in our entity industry metadata endpoint. Example: industries=Technology,Industrials
|
countries |
false | Specify the country of the exchange of which entities have been identified within the article. Find countries as part of our entity exchanges metadata endpoint. Example: countries=us,ca
|
sentiment_gte |
false | Use this to find all articles with entities with a sentiment_score of greater than or equal to x .Example: sentiment_gte=0 - this will find all articles which are neutral or positive
|
sentiment_lte |
false | Use this to find all articles with entities with a sentiment_score of less than or equal to x .Example: sentiment_lte=0 - this will find all articles which are neutral or negative
|
filter_entities |
false | By default all entities for each article are returned - by setting this to true, only the relevant entities to your query will be returned with each article.
For example, if you set symbols=TSLA and filter_entities=true , only "TSLA" entities will be returned with the articles.Default: false
|
must_have_entities |
false | By default all articles are returned, set this to true to ensure that at least one entity has been identified within the article. Default: false
|
group_similar |
false | Group similar articles to avoid displaying multiple articles on the same topic/subject. Default: true
|
domains |
false | Comma separated list of domains to include. List of domains can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com,adage.com |
exclude_domains |
false | Comma separated list of domains to exclude |
source_ids |
false | Comma separated list of source_ids to include. List of source_ids can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com-1,adage.com-1 |
exclude_source_ids |
false | Comma separated list of source_ids to exclude. |
language |
false | Comma separated list of languages to include. Default is all.
Click here for a list of supported languages. Examples: en,es (English + Spanish)
|
published_before |
false | Find all articles published before the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_after |
false | Find all articles published after the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_on |
false | Find all articles published on the specified date. Supported formats include: Y-m-d .
Examples: 2024-10-14
|
limit |
false | Specify the number of articles you want to return in the request. The maximum limit is based on your plan. The default limit is the maximum specified for your plan. |
page |
false | Use this to paginate through the result set. Default is 1. Note that the max result set can't exceed 20,000. For example if your limit is 50, the max page you can have is 400 (50 * 400 = 20,000).
Example: page=2
|
Response Objects
name | description |
---|---|
meta > found |
The number of articles found for the request. |
meta > returned |
The number of articles returned on the page.
This is useful to determine the end of the result set as if this is lower than limit , there are no more articles after this page. |
meta > limit |
The limit based on the limit parameter. |
meta > page |
The page number based on the page parameter. |
data > uuid |
The unique identifier for an article in our system. Store this and use it to find specific articles using our single article endpoint. |
data > title |
The article title. |
data > description |
The article meta description. |
data > keywords |
The article meta keywords. |
data > snippet |
The first 60 characters of the article body. |
data > url |
The URL to the article. |
data > image_url |
The URL to the article image. |
data > language |
The language of the source. |
data > published_at |
The datetime the article was published. |
data > source |
The domain of the source. |
data > relevance_score |
Relevance score based on the article provided. |
data > entities > symbol |
Symbol of the identified entity. |
data > entities > name |
Name of the identified entity. |
data > entities > exchange |
Exchange identifier of the identified entity. |
data > entities > exchange_long |
Exchange name of the identified entity. |
data > entities > country |
Exchange country of the identified entity. |
data > entities > type |
Type of the identified entity. |
data > entities > industry |
Industry of the identified entity. |
data > entities > match_score |
The overall strength of the matching for the identified entity. |
data > entities > sentiment_score |
Average sentiment of all highlighted text found for the identified entity. |
data > entities > highlights > highlight |
Snippet of text from the article where the entity has been identified. |
data > entities > highlights > sentiment |
The sentiment of the highlighed text. |
data > entities > highlights > highlighted_in |
Where the highlight was found (title | main_text ). |
data > similar |
Array of news articles which are very similar to the main article. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/news/similar/cc11e3ab-ced0-4a42-9146-e426505e2e67?api_token=YOUR_API_TOKEN&language=en&published_on=2020-12-01
Example Response
{
"meta": {
"found": 222,
"returned": 3,
"limit": 3,
"page": 1
},
"data": [
{
"uuid": "489e4ec4-84a9-4628-966c-95c3741c6dfc",
"title": "Bitcoin Drops below $47K: Is BTC in a Bear Market?",
"description": "Bitcoin's rally seems to have made a sharp U-turn. Is this a short-lived correction or a longer-term trend?",
"keywords": "",
"snippet": "The market correction that many crypto analysts have been predicting for weeks seems to have finally arrived. Indeed, crypto markets are seeing red across the ...",
"url": "https://www.financemagnates.com/cryptocurrency/news/bitcoin-drops-below-47k-is-btc-in-a-bear-market/",
"image_url": "https://www.financemagnates.com/wp-content/uploads/2020/02/bitcoin-tightrope.jpg",
"language": "en",
"published_at": "2021-02-23T11:00:40.000000Z",
"source": "financemagnates.com",
"relevance_score": 106.05874,
"entities": [ ],
"similar": [ ]
},
{
"uuid": "61be555e-3120-44b0-ad13-6f985ea92f63",
"title": "Bitcoin ETFs vs Spot BTC",
"description": "Bitcoin is now the largest and most well-known cryptocurrency. This cryptocurrency has a market cap of several hundred billion dollars and as a result, has ...",
"keywords": "",
"snippet": "Bitcoin is now the largest and most well-known cryptocurrency. This cryptocurrency has a market cap of several hundred billion dollars and as a result, has mass...",
"url": "https://www.benzinga.com/markets/cryptocurrency/21/02/19808328/bitcoin-etfs-vs-spot-btc",
"image_url": "https://cdn.benzinga.com/files/imagecache/og_image_social_share_1200x630/images/story/2012/investing.jpg",
"language": "en",
"published_at": "2021-02-23T21:11:34.000000Z",
"source": "benzinga.com",
"relevance_score": 95.900276,
"entities": [ ],
"similar": [ ]
},
...
]
}
News by UUID Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/news/uuid/uuid HTTP/1.1
Use this endpoint to find specific articles by the UUID which is returned on our search endpoints. This is useful if you wish to store the UUID to return the article later.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
Response Objects
name | description |
---|---|
uuid |
The unique identifier for an article in our system. Store this and use it to find specific articles using our single article endpoint. |
title |
The article title. |
description |
The article meta description. |
keywords |
The article meta keywords. |
snippet |
The first 60 characters of the article body. |
url |
The URL to the article. |
image_url |
The URL to the article image. |
language |
The language of the source. |
published_at |
The datetime the article was published. |
source |
The domain of the source. |
entities > symbol |
Symbol of the identified entity. |
entities > name |
Name of the identified entity. |
entities > exchange |
Exchange identifier of the identified entity. |
entities > exchange_long |
Exchange name of the identified entity. |
entities > country |
Exchange country of the identified entity. |
entities > type |
Type of the identified entity. |
entities > industry |
Industry of the identified entity. |
entities > match_score |
The overall strength of the matching for the identified entity. |
entities > sentiment_score |
Average sentiment of all highlighted text found for the identified entity. |
entities > highlights > highlight |
Snippet of text from the article where the entity has been identified. |
entities > highlights > sentiment |
The sentiment of the highlighed text. |
entities > highlights > highlighted_in |
Where the highlight was found (title | main_text ). |
If no results are found, a resource_not_found
error will be returned.
Example Request
GET https://api.stockdata.org/v1/news/uuid/147013d8-6c2c-4d50-8bad-eb3c8b7f5740?api_token=YOUR_API_TOKEN
Example Response
{
"uuid": "9b9fb67e-9438-4263-815e-ef6a7d36af07",
"title": "Bitcoin (BTC/USD), Ethereum (ETH/USD) Crushed as Cryptocurrency Market is Overrun by Sellers",
"description": "The cryptocurrency market has been experiencing wild price swings over the last two days with sellers in complete control as prices slump across the board",
"keywords": "",
"snippet": "Bitcoin (BTC/USD) Price, Analysis and Chart: Bullish channel is broken in a two day sell-off...",
"url": "https://www.dailyfx.com/forex/market_alert/2021/02/23/Bitcoin-BTCUSD-Ethereum-ETHUSD-Crushed-as-Cryptocurrency-Market-is-Overrun-by-Sellers.html",
"image_url": "https://a.c-dn.net/b/2jPuVf/headline_shutterstock_365875643.jpg",
"language": "en",
"published_at": "2021-02-23T10:30:00.000000Z",
"source": "dailyfx.com",
"entities": [
{
"symbol": "BTCUSD",
"name": "Bitcoin USD",
"exchange": "CC",
"exchange_long": "Cryptocurrency",
"country": "global",
"type": "cryptocurrency",
"industry": "N/A",
"match_score": 82.04055,
"sentiment_score": -0.177075,
"highlights": [
{
"highlight": "Bitcoin (BTC/USD) Price, Analysis and Chart: Bullish channel is broken in a two day sell-off. No specific driver of price action.",
"sentiment": -0.6486,
"highlighted_in": "main_text"
},
...
]
},
{
"symbol": "ETHUSD",
"name": "Ethereum USD",
"exchange": "CC",
"exchange_long": "Cryptocurrency",
"country": "global",
"type": "cryptocurrency",
"industry": "N/A",
"match_score": 65.22654,
"sentiment_score": -0.4215,
"highlights": [
{
"highlight": "Bitcoin (BTC/USD), Ethereum (ETH/USD) Crushed as Cryptocurrency Market is Overrun by Sellers",
"sentiment": -0.4215,
"highlighted_in": "title"
}
]
}
]
}
Market News Analysis
Entity Stats (time series) Available on: Standard and above
Endpoint
GET https://api.stockdata.org/v1/news/stats/intraday HTTP/1.1
Get an intraday view of how well entities performed over different intervals using this endpoint.
Find the best or worst performing entities broken down to every minute, hour, day, week, month, quarter or year. Useful for comparing entities and creating graphs and charts
Adding symbols to the request is not necessary - by default all of the best performing stocks are returned. Filter entities by symbols, exchanges, industries, countries, entity types and more.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
interval |
false | The interval of the time series. Options: minute | hour | day | week | month | quarter | year Default: day Example: interval=day Note: there are restrictions on the maximum time frame for each interval. This is based on the published_before parameter.
From the published_before date specified, the maximum time frame that can be retrieved is as following:minute = 7 dayshour = 1 monthday = 3 yearsweek = 5 yearsmonth = 5 yearsquarter = 10 yearsyear = 10 yearsBy default the maximum allowed time frame will be applied. If the time frame is exceeded by the date parameters provided, the default will be applied - no error will be thrown. For example, if interval=minute and published_before=2021-01-10 , the max that can be returned will be back to 2021-01-03.
You can specify a published_after value to reduce this time frame if necessary (e.g. published_after=2021-01-08 ).
|
group_by |
false | Group results by symbol | exchange | industry | country Default: symbol
|
min_doc_count |
false | The minimum number of total_documents an entity should be identified within to be returned with the results.Example: min_doc_count=10
|
symbols |
false | Specify entity symbol(s) which have been identified within the article. Find entity symbols in our entity search endpoint. Example: symbols=TSLA,AMZN,MSFT
|
entity_types |
false | Specify the type of entities which have been identified within the article. Find entity types in our entity type metadata endpoint. Example: entity_types=index,equity
|
industries |
false | Specify the industries of entities which have been identified within the article. Find entity types in our entity industry metadata endpoint. Example: industries=Technology,Industrials
|
countries |
false | Specify the country of the exchange of which entities have been identified within the article. Find countries as part of our entity exchanges metadata endpoint. Example: countries=us,ca
|
sentiment_avg_gte |
false | Use this to refine results to find all entities with an overall sentiment_avg greater than or equal to x .Example: sentiment_avg_gte=0 - this will find all entities which are neutral or positive
|
sentiment_avg_lte |
false | Use this to refine results to find all entities with an overall sentiment_avg less than or equal to x .Example: sentiment_avg_lte=0 - this will find all entities which are neutral or negative
|
sentiment_gte |
false | Use this to refine results to find all documents for entities with a sentiment_score greater than or equal to x .Example: sentiment_gte=0 - this will find all document entities which are neutral or positive
|
sentiment_lte |
false | Use this to refine results to find all documents for entities with a sentiment_score less than or equal to x .Example: sentiment_lte=0 - this will find all document entities which are neutral or negative
|
search |
false | Use the search as a basic search tool by entering regular search terms or it has more advanced usage to build search queries:+ signifies AND operation| signifies OR operation- negates a single token" wraps a number of tokens to signify a phrase for searching* at the end of a term signifies a prefix query( and ) signify precedence
To use one of these characters literally, escape it with a preceding backslash ( \ ).
This searches the full body of the text and the title. Example: "ipo" -nyse (searches for articles which must include the string "ipo" but articles must NOT mention NYSE.)
For more advanced query examples, see our API Examples section. |
domains |
false | Comma separated list of domains to include. List of domains can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com,adage.com |
exclude_domains |
false | Comma separated list of domains to exclude |
source_ids |
false | Comma separated list of source_ids to include. List of source_ids can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com-1,adage.com-1 |
exclude_source_ids |
false | Comma separated list of source_ids to exclude. |
language |
false | Comma separated list of languages to include. Default is all.
Click here for a list of supported languages. Examples: en,es (English + Spanish)
|
published_before |
false | Refine results for articles before the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_after |
false | Refine results for articles published after the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_on |
false | Refine results for articles published on the specified date. Supported formats include: Y-m-d .
Examples: 2024-10-14
|
sort |
false | Sort by total_documents or sentiment_avg Default: total_documents
|
sort_order |
false | Sort order of the sort parameter.Options: desc | asc Default: desc
|
date_order |
false | Ordering of the date keys. Options: desc | asc Default: desc
|
limit |
false | Specify the number of entities you want to return in the request. The maximum limit is based on your plan. The default limit is the maximum specified for your plan. |
Response Objects
name | description |
---|---|
data > date |
Date of the time series data. |
data > data > key |
The key based on the group_by parameter. For example, this could be symbol, exchange, industry or country. |
data > data > total_documents |
Total number of documents identified for the key and also based on the query parameters provided. |
data > data > sentiment_avg |
Average sentiment of the key and also based on the query parameters provided. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/news/stats/intraday?symbols=TSLA%2CAMZN%2CMSFT&interval=day&published_after=2024-10-13T02%3A54&language=en&api_token=YOUR_API_TOKEN
Example Response
{
"data": [
{
"date": "2023-12-20T00:00:00.000Z",
"data": [
{
"key": "TSLA",
"total_documents": 40,
"sentiment_avg": 0.31920232214033606
},
{
"key": "MSFT",
"total_documents": 36,
"sentiment_avg": 0.48552060520483387
},
{
"key": "AMZN",
"total_documents": 24,
"sentiment_avg": 0.4618048352810244
}
]
},
{
"date": "2023-12-19T00:00:00.000Z",
"data": [
{
"key": "TSLA",
"total_documents": 15,
"sentiment_avg": 0.36700599640607834
},
{
"key": "AMZN",
"total_documents": 10,
"sentiment_avg": 0.32552999407052996
},
{
"key": "MSFT",
"total_documents": 10,
"sentiment_avg": 0.48831209242343904
}
]
}
]
}
Entity Stats (aggregation) Available on: Standard and above
Endpoint
GET https://api.stockdata.org/v1/news/stats/aggregation HTTP/1.1
Similar to the entity stats time series endpoint, this returns an aggregation of entities for a single time frame, rather than being broken down by date. Useful to find the best or worst performing stocks.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
group_by |
false | Group results by symbol | exchange | industry | country Default: symbol
|
min_doc_count |
false | The minimum number of total_documents an entity should be identified within to be returned with the results.Example: min_doc_count=10
|
symbols |
false | Specify entity symbol(s) which have been identified within the article. Find entity symbols in our entity search endpoint. Example: symbols=TSLA,AMZN,MSFT
|
entity_types |
false | Specify the type of entities which have been identified within the article. Find entity types in our entity type metadata endpoint. Example: entity_types=index,equity
|
industries |
false | Specify the industries of entities which have been identified within the article. Find entity types in our entity industry metadata endpoint. Example: industries=Technology,Industrials
|
countries |
false | Specify the country of the exchange of which entities have been identified within the article. Find countries as part of our entity exchanges metadata endpoint. Example: countries=us,ca
|
sentiment_avg_gte |
false | Use this to refine results to find all entities with an overall sentiment_avg greater than or equal to x .Example: sentiment_avg_gte=0 - this will find all entities which are neutral or positive
|
sentiment_avg_lte |
false | Use this to refine results to find all entities with an overall sentiment_avg less than or equal to x .Example: sentiment_avg_lte=0 - this will find all entities which are neutral or negative
|
sentiment_gte |
false | Use this to refine results to find all documents for entities with a sentiment_score greater than or equal to x .Example: sentiment_gte=0 - this will find all document entities which are neutral or positive
|
sentiment_lte |
false | Use this to refine results to find all documents for entities with a sentiment_score less than or equal to x .Example: sentiment_lte=0 - this will find all document entities which are neutral or negative
|
search |
false | Use the search as a basic search tool by entering regular search terms or it has more advanced usage to build search queries:+ signifies AND operation| signifies OR operation- negates a single token" wraps a number of tokens to signify a phrase for searching* at the end of a term signifies a prefix query( and ) signify precedence
To use one of these characters literally, escape it with a preceding backslash ( \ ).
This searches the full body of the text and the title. Example: "ipo" -nyse (searches for articles which must include the string "ipo" but articles must NOT mention NYSE.)
For more advanced query examples, see our API Examples section. |
domains |
false | Comma separated list of domains to include. List of domains can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com,adage.com |
exclude_domains |
false | Comma separated list of domains to exclude |
source_ids |
false | Comma separated list of source_ids to include. List of source_ids can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com-1,adage.com-1 |
exclude_source_ids |
false | Comma separated list of source_ids to exclude. |
language |
false | Comma separated list of languages to include. Default is all.
Click here for a list of supported languages. Examples: en,es (English + Spanish)
|
published_before |
false | Refine results for articles published before the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_after |
false | Refine results for articles published after the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_on |
false | Refine results for articles published on the specified date. Supported formats include: Y-m-d .
Examples: 2024-10-14
|
sort |
false | Sort by total_documents or sentiment_avg Default: total_documents
|
sort_order |
false | Sort order of the sort parameter.Options: desc | asc Default: desc
|
limit |
false | Specify the number of entities you want to return in the request. The maximum limit is based on your plan. The default limit is the maximum specified for your plan. |
Response Objects
name | description |
---|---|
meta > returned |
The number of entities returned. |
meta > limit |
The limit based on the limit parameter. |
data > key |
The key based on the group_by parameter. For example, this could be symbol, exchange, industry or country. |
data > total_documents |
Total number of documents identified for the key and also based on the query parameters provided. |
data > sentiment_avg |
Average sentiment of the key and also based on the query parameters provided. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/news/stats/aggregation?symbols=TSLA%2CAMZN%2CMSFT&published_after=2024-10-13T02%3A54&language=en&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"returned": 3,
"limit": 100
},
"data": [
{
"key": "TSLA",
"total_documents": 55,
"sentiment_avg": 0.33223968784917485
},
{
"key": "MSFT",
"total_documents": 46,
"sentiment_avg": 0.48612745025235676
},
{
"key": "AMZN",
"total_documents": 34,
"sentiment_avg": 0.421723999630879
}
]
}
Trending Entities Available on: Standard and above
Endpoint
GET https://api.stockdata.org/v1/news/stats/trending HTTP/1.1
Use this endpoint to identify trending entities. Filter by time frame and much more; e.g. find which stocks were trending on a specific day, within the past 24 hours, past 7 days, etc.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
group_by |
false | Group results by symbol | exchange | industry | country Default: symbol
|
min_doc_count |
false | The minimum number of total_documents an entity should be identified within to be returned with the results.Example: min_doc_count=10
|
symbols |
false | Specify entity symbol(s) which have been identified within the article. Find entity symbols in our entity search endpoint. Example: symbols=TSLA,AMZN,MSFT
|
entity_types |
false | Specify the type of entities which have been identified within the article. Find entity types in our entity type metadata endpoint. Example: entity_types=index,equity
|
industries |
false | Specify the industries of entities which have been identified within the article. Find entity types in our entity industry metadata endpoint. Example: industries=Technology,Industrials
|
countries |
false | Specify the country of the exchange of which entities have been identified within the article. Find countries as part of our entity exchanges metadata endpoint. Example: countries=us,ca
|
sentiment_avg_gte |
false | Use this to refine results to find all entities with an overall sentiment_avg greater than or equal to x .Example: sentiment_avg_gte=0 - this will find all entities which are neutral or positive
|
sentiment_avg_lte |
false | Use this to refine results to find all entities with an overall sentiment_avg less than or equal to x .Example: sentiment_avg_lte=0 - this will find all entities which are neutral or negative
|
sentiment_gte |
false | Use this to refine results to find all documents for entities with a sentiment_score greater than or equal to x .Example: sentiment_gte=0 - this will find all document entities which are neutral or positive
|
sentiment_lte |
false | Use this to refine results to find all documents for entities with a sentiment_score less than or equal to x .Example: sentiment_lte=0 - this will find all document entities which are neutral or negative
|
search |
false | Use the search as a basic search tool by entering regular search terms or it has more advanced usage to build search queries:+ signifies AND operation| signifies OR operation- negates a single token" wraps a number of tokens to signify a phrase for searching* at the end of a term signifies a prefix query( and ) signify precedence
To use one of these characters literally, escape it with a preceding backslash ( \ ).
This searches the full body of the text and the title. Example: "ipo" -nyse (searches for articles which must include the string "ipo" but articles must NOT mention NYSE.)
For more advanced query examples, see our API Examples section. |
domains |
false | Comma separated list of domains to include. List of domains can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com,adage.com |
exclude_domains |
false | Comma separated list of domains to exclude |
source_ids |
false | Comma separated list of source_ids to include. List of source_ids can be obtained through our Sources endpoint, found further down this page.
Example: adweek.com-1,adage.com-1 |
exclude_source_ids |
false | Comma separated list of source_ids to exclude. |
language |
false | Comma separated list of languages to include. Default is all.
Click here for a list of supported languages. Examples: en,es (English + Spanish)
|
published_before |
false | Refine results for articles published before the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_after |
false | Refine results for articles published after the specified date. Supported formats include:
Y-m-d\TH:i:s | Y-m-d\TH:i | Y-m-d\TH | Y-m-d | Y-m | Y .
Examples: 2024-10-14T02:54:49 |
2024-10-14T02:54 |
2024-10-14T02 |
2024-10-14 |
2024-10 |
2024
|
published_on |
false | Refine results for articles published on the specified date. Supported formats include: Y-m-d .
Examples: 2024-10-14
|
sort |
false | Sort by total_documents or sentiment_avg Default: total_documents
|
sort_order |
false | Sort order of the sort parameter.Options: desc | asc Default: desc
|
limit |
false | Specify the number of entities you want to return in the request. The maximum limit is based on your plan. The default limit is the maximum specified for your plan. |
Response Objects
name | description |
---|---|
meta > returned |
The number of entities returned. |
meta > limit |
The limit based on the limit parameter. |
data > key |
The key based on the group_by parameter. For example, this could be symbol, exchange, industry or country. |
data > total_documents |
Total number of documents identified for the key and also based on the query parameters provided. |
data > sentiment_avg |
Average sentiment of the key and also based on the query parameters provided. |
data > score |
The relevance score for the trending entity. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/news/stats/trending?countries=us%2Cca&min_doc_count=10&published_after=2024-10-13T02%3A54&language=en&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"returned": 31,
"limit": 100
},
"data": [
{
"key": "SCS",
"total_documents": 17,
"sentiment_avg": 0.09388458838357645,
"score": 7.747434538809275
},
{
"key": "SONY",
"total_documents": 128,
"sentiment_avg": 0.3347119796962943,
"score": 4.811609233429184
},
{
"key": "FDX",
"total_documents": 36,
"sentiment_avg": -0.07052503047614461,
"score": 4.201237651005911
},
{
"key": "WGO",
"total_documents": 11,
"sentiment_avg": 0.04215091263706034,
"score": 2.0968067853937757
},
{
"key": "GIS",
"total_documents": 20,
"sentiment_avg": 0.047723403805866836,
"score": 1.656708482508458
},
...
]
}
Stock Metadata
Entity Search Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/entity/search HTTP/1.1
Use this endpoint to search for entities. Note that the limit is 50 for all requests.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
search |
false | Dynamic search function to find entities. |
symbols |
false | Enter specific symbols to return. |
exchanges |
false | Filter results by specific exchanges. Comma separated list. |
types |
false | Filter results by entity types. Comma separated list. |
industries |
false | Filter results by industries. Comma separated list. |
countries |
false | Filter results by ISO 3166-1 two-letter country code of the exchange. Comma separated list. |
page |
false | Use this to paginate through the result set. Default is 1.
Example: page=2
|
Response Objects
name | description |
---|---|
meta > found |
The number of entities found for the request. |
meta > returned |
The number of entities returned on the page. |
meta > limit |
The limit is 50. This currently can not be changed. |
meta > page |
The page number based on the page parameter. |
data > symbol |
Unique entity symbol (or ticker). |
data > name |
Entity name. |
data > type |
The entity type. |
data > industry |
The entity industry. |
data > exchange |
The exchange identifier. |
data > exchange_long |
The exchange name. |
data > mic_code |
The exchanges ISO 10383 market identifier code. |
data > country |
The ISO 3166-1 two-letter country code of the exchange locale. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/entity/search?search=tsla&api_token=YOUR_API_TOKEN
Example Response
{
"meta": {
"found": 1,
"returned": 1,
"limit": 50,
"page": 1
},
"data": [
{
"symbol": "TSLA",
"name": "Tesla Inc",
"type": "equity",
"industry": null,
"exchange": null,
"exchange_long": null,
"mic_code": null,
"country": "us"
}
]
}
Entity Type List Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/entity/type/list HTTP/1.1
Use this endpoint to return all supported entity types.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
Response Objects
name | description |
---|---|
data |
Array of entity types. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/entity/type/list?api_token=YOUR_API_TOKEN
Example Response
{
"data": [
"equity",
"index",
"etf",
"mutualfund",
"currency",
"cryptocurrency"
]
}
Industry List Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/entity/industry/list HTTP/1.1
Use this endpoint to return all supported entity industries.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
Response Objects
name | description |
---|---|
data |
Array of industries. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/entity/industry/list?api_token=YOUR_API_TOKEN
Example Response
{
"data": [
"Technology",
"Industrials",
"N/A",
"Consumer Cyclical",
"Healthcare",
"Communication Services",
"Financial Services",
"Consumer Defensive",
"Basic Materials",
"Real Estate",
"Energy",
"Utilities",
"Financial",
"Services",
"Consumer Goods",
"Industrial Goods"
]
}
News Metadata
Sources Available on: All plans
Endpoint
GET https://api.stockdata.org/v1/news/sources HTTP/1.1
Use this endpoint to view sources which can be used in other API requests. Note that the limit is 50 for all requests.
HTTP GET Parameters
name | required | description |
---|---|---|
api_token |
true | Your API token which can be found on your account dashboard. |
distinct_domain |
false | Use this to group distinct domains from sources. This will make source_id null.
Example: distinct_domain=true
|
language |
false | Comma separated list of languages to include. Default is all.
Click here for a list of supported languages. Examples: en,es (English + Spanish)
|
page |
false | Use this to paginate through the result set. Default is 1.
Example: page=2
|
Response Objects
name | description |
---|---|
meta > found |
The number of sources found for the request. |
meta > returned |
The number of sources returned on the page. |
meta > limit |
The limit is 50. This currently can not be changed. |
meta > page |
The page number based on the page parameter. |
data > source_id |
The unique ID of the source feed. Use this for the source_ids or exclude_source_ids parameters in the news endpoints.
There may be many source_ids for each domain, therefore we would generally suggest using the domains filter instead the source_ids filter. |
data > domain |
The domain of the source. You can use this for the domains or exclude_domains parameters in the news endpoints. |
data > language |
The source language. |
If no results are found, the data object will be empty.
Example Request
GET https://api.stockdata.org/v1/news/sources?api_token=YOUR_API_TOKEN&language=en
Example Response
{
"meta": {
"found": 5327,
"returned": 50,
"limit": 50,
"page": 1
},
"data": [
{
"source_id": "adweek.com-1",
"domain": "adweek.com",
"language": "en"
},
{
"source_id": "adage.com-1",
"domain": "adage.com",
"language": "en"
},
{
"source_id": "avc.com-1",
"domain": "avc.com",
"language": "en"
},
...
]
}
Errors
Errors
If your request was unsuccessful, you will receive a JSON formatted error. Below you will find the potential errors you may encounter when using the API.
Errors
error code | HTTP status | description |
---|---|---|
malformed_parameters |
400 |
Validation of parameters failed. The failed parameters are usually shown in the error message. |
invalid_api_token |
401 |
Invalid API token. |
usage_limit_reached |
402 |
Usage limit of your plan has been reached. Usage limit and remaining requests can be found on the X-UsageLimit-Limit header. |
endpoint_access_restricted |
403 |
Access to the endpoint is not available on your current subscription plan. |
resource_not_found |
404 |
Resource could not be found. |
invalid_api_endpoint |
404 |
API route does not exist. |
rate_limit_reached |
429 |
Too many requests in the past 60 seconds. Rate limit and remaining requests can be found on the X-RateLimit-Limit header. |
server_error |
500 |
A server error occured. |
maintenance_mode |
503 |
The service is currently under maintenance. |
Example Error Response
{
"error": {
"code": "malformed_parameters",
"message": "The published_before parameter(s) are incorrectly formatted."
}
}
Examples
API Examples
There are unlimited ways to filter and refine your results with our API, see a few examples below to help you get started.
If you need assistance creating the perfect query, feel free to contact us.
Retrieve all articles which have mentioned AAPL and TSLA, and filter the entities array so ONLY these are displayed with articles
GET https://api.stockdata.org/v1/news/all?symbols=AAPL%2CTSLA&filter_entities=true&api_token=YOUR_API_TOKEN
Find all articles with positive entity sentiment in English
GET https://api.stockdata.org/v1/news/all?sentiment_gte=0.1&language=en&api_token=YOUR_API_TOKEN
Find all articles with neutral entity sentiment in English
GET https://api.stockdata.org/v1/news/all?sentiment_gte=0&sentiment_lte=0&language=en&api_token=YOUR_API_TOKEN
Find all articles with negative entity sentiment in English
GET https://api.stockdata.org/v1/news/all?sentiment_lte=-0.1&language=en&api_token=YOUR_API_TOKEN
Get a day-by-day breakdown of top mentioned entities for exchanges in the US for last month (September 2024)
GET https://api.stockdata.org/v1/news/stats/intraday?interval=day&group_by=symbol&countries=us&published_after=2024-09-01T00%3A00&published_before=2024-09-30T23%3A59&api_token=YOUR_API_TOKEN
Get an aggregation for the top entities by sentiment yesterday (13 October 2024)
GET https://api.stockdata.org/v1/news/stats/intraday?group_by=symbol&sort=sentiment_avg&sort_order=desc&published_on=2024-10-13&api_token=YOUR_API_TOKEN
Code Examples
See our prepared examples below to quickly get started implementing our API into your next project.
PHP
$queryString = http_build_query([
'api_token' => 'YOUR_API_TOKEN',
'symbols' => 'AAPL,TSLA',
'filter_entities' => 'true',
'limit' => 50,
]);
$ch = curl_init(sprintf('%s?%s', 'https://api.stockdata.org/v1/news/all', $queryString));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$json = curl_exec($ch);
curl_close($ch);
$apiResult = json_decode($json, true);
print_r($apiResult);
Python
# Python 3
import http.client, urllib.parse
conn = http.client.HTTPSConnection('api.stockdata.org')
params = urllib.parse.urlencode({
'api_token': 'YOUR_API_TOKEN',
'symbols': 'AAPL,TSLA',
'limit': 50,
})
conn.request('GET', '/v1/news/all?{}'.format(params))
res = conn.getresponse()
data = res.read()
print(data.decode('utf-8'))
Go
package main
import (
"fmt"
"io/ioutil"
"net/http"
"net/url"
)
func main() {
baseURL, _ := url.Parse("https://api.stockdata.org")
baseURL.Path += "v1/news/all"
params := url.Values{}
params.Add("api_token", "YOUR_API_TOKEN")
params.Add("symbols", "aapl,tsla")
params.Add("search", "ipo")
params.Add("limit", "50")
baseURL.RawQuery = params.Encode()
req, _ := http.NewRequest("GET", baseURL.String(), nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(string(body))
}
JavaScript
var requestOptions = {
method: 'GET'
};
var params = {
api_token: 'YOUR_API_TOKEN',
symbols: 'msft,fb',
limit: '50'
};
var esc = encodeURIComponent;
var query = Object.keys(params)
.map(function(k) {return esc(k) + '=' + esc(params[k]);})
.join('&');
fetch("https://api.stockdata.org/v1/news/all?" + query, requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));
C#
var client = new RestClient("https://api.stockdata.org/v1/news/all");
client.Timeout = -1;
var request = new RestRequest(Method.GET);
request.AddQueryParameter("api_token", "YOUR_API_TOKEN");
request.AddQueryParameter("symbols", "aapl,amzn");
request.AddQueryParameter("limit", "50");
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
Java
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
HttpUrl.Builder httpBuilder = HttpUrl.parse("https://api.stockdata.org/v1/news/all").newBuilder();
httpBuilder.addQueryParameter("api_token", "YOUR_API_TOKEN");
httpBuilder.addQueryParameter("symbols", "aapl,msft");
httpBuilder.addQueryParameter("limit", "50");
Request request = new Request.Builder().url(httpBuilder.build()).build();
Response response = client.newCall(request).execute();