Tipranks.com API
npm install tipranks-api-v2For any company (e.g. Tesla) the API returns
- price targets calculated from analyst estimates: mean, median, highest, lowest, number of estimates
- news sentiment data (bullish vs bearish) based on published articles in the last week
It also returns trending stocks.
``json`
{
"symbol": "TSLA",
"priceTargets": {
"mean": 297.3333333333333,
"median": 300,
"highest": 500,
"lowest": 54,
"numberOfEstimates": 21
}
}
`json`
{
"symbol": "TSLA",
"sentiment": {
"bullishPercent": 0.4062,
"bearishPercent": 0.5938
},
"buzz": {
"articlesInLastWeek": 143,
"weeklyAverage": 147.25,
"buzz": 0.9711
},
"sectorAverageBullishPercent": 0.6204,
"sectorAverageNewsScore": 0.52,
"companyNewsScore": 0.3969
}
`json`
[
{
"ticker": "HAL",
"popularity": 10,
"sentiment": 10,
"consensusScore": 1,
"operations": null,
"sector": "BASIC MATERIALS",
"sectorID": 17343,
"marketCap": 18394572000,
"buy": 10,
"sell": 0,
"hold": 0,
"priceTarget": 32.42,
"rating": 5,
"companyName": "Halliburton",
"quarterlyTrend": 5,
"lastRatingDate": "2019-07-24T00:00:00"
},
{
"ticker": "XLNX",
"popularity": 9,
"sentiment": 6,
"consensusScore": 1.6666666666666667,
"operations": null,
"sector": "CONSUMER GOODS",
"sectorID": 18731,
"marketCap": 27832018900,
"buy": 6,
"sell": 0,
"hold": 3,
"priceTarget": 131.6,
"rating": 4,
"companyName": "Xilinx Inc",
"quarterlyTrend": 4,
"lastRatingDate": "2019-07-26T00:00:00"
}
]
- Install Node.js (which includes npm) if you haven't already. On Mac in the command line type brew install node. More information here: nodejs.orgmkdir my-new-project && cd my-new-project
- Set up a new Node.js project. In the command line type
- to create a new foldernpm init
- to scaffold the Node.js projecttouch index.js
- to create the file index.jsnpm install tipranks-api-v2
- to install the library to access the APIindex.js
- Copy/paste the example code below inside the file
`js`
const tipranksApi = require('tipranks-api-v2');
tipranksApi.getPriceTargets('MU').then(result => console.log(result));
tipranksApi.getNewsSentimentData('MU').then(result => console.log(result));
tipranksApi.getTrendingStocks().then(trending => console.log(trending));
- node index.js to run the code inside the index.js fileMU
- Done! Now you should see the price targets and the news sentiment for the ticker
The API supports the following commands:
- .getPriceTargets(ticker)ticker
- is a string representing the company ticker, e.g. TSLA.
- This method returns the mean price target, median target,
highest target, lowest target, and the number of analyst estimates. See
below for an example.
_Note:_ The price calculator (e.g. mean price) only considers analyst price
estimates given in the last 3 months.
The API intentionally excludes estimates given more than three months ago
as analysts seem to review/update their estimates in a quarterly interval.
The result: under "Analyst ratings" on the website the "average price" for MU was 46.5
and the script displayed 46.77 for "mean" price.
- .getNewsSentimentData(ticker)
- ticker is a string representing the company ticker, e.g. TSLA.
- This method returns the bullish and bearish sentiment in percent,
the number of articles published last week, sector average bullish
percent, sector average news score, and the company's news score. See
example below.
- .getTrendingStocks()
- Returns an array of trending stocks listed on tipranks.com/trending-stocks
- Copy the code below into the index.js filenode index.js
- to run the code
`javascript
const tipranksApi = require('tipranks-api-v2');
tipranksApi.getPriceTargets('TSLA').then(result => console.log(result));
`
`json`
{
"symbol": "TSLA",
"priceTargets": {
"mean": 297.3333333333333,
"median": 300,
"highest": 500,
"lowest": 54,
"numberOfEstimates": 21
}
}
- Copy the code below into the index.js filenode index.js
- to run the code
`javascript
const tipranksApi = require('tipranks-api-v2');
tipranksApi.getNewsSentimentData('TSLA').then(result => console.log(result));
`
`json``
{
"symbol": "TSLA",
"sentiment": {
"bullishPercent": 0.4062,
"bearishPercent": 0.5938
},
"buzz": {
"articlesInLastWeek": 143,
"weeklyAverage": 147.25,
"buzz": 0.9711
},
"sectorAverageBullishPercent": 0.6204,
"sectorAverageNewsScore": 0.52,
"companyNewsScore": 0.3969
}