Pine Seeds is a service for importing your custom data on the TradingView platform.
This service allows you to:
- connect your series data to TradingView
- visualize it in the TradingView UI
- use it to create indicators
Use TradingView as your frontend and use a GitHub repository as your backend.
Keep in mind that such data has certain limitations (we call them EOD data):
- the data can only be updated a few times per day
- only the daily resolution is available
- the number of data elements (symbols) is limited to 1000
- such data will not appear in the symbol search box
Note
Read our 5-minute tutorial to get started right now
Setting up the service includes several steps:
- data preparation
- setting up a repository
- manipulating data in the TradingView UI
You just need to set up the repository, upload your data to it and wait for it to be uploaded to the TradingView platform.
SEED_CRYPTO_SANTIMENT:BTC_DEV_ACTIVITY
is an example of custom data integration. You can work with it on your Chart.
The symbol name is uniquely determined by Github settings.
SEED
is a mandatory prefix for this type of dataCRYPTO
is the name of github.com/crypto GitHub accountSANTIMENT
is the name of github.com/crypto/santiment repositoryBTC_DEV_ACTIVITY
is a data filename BTC_DEV_ACTIVITY.CSV
Now, using the request.seed() function from the built-in Pine Script™ language and the available data, you can build a chart.
//@version=5
indicator("BTC Dev Activity", format=format.volume)
//request.seed(source, repo_name, symbol, expression)
activity = request.seed("crypto", "santiment", "BTC_DEV_ACTIVITY", close)
plot(activity)
By adding Bitcoin developer activity data from the EOD source (SEED_CRYPTO_SANTIMENT:BTC_DEV_ACTIVITY) to the BTCUSD chart, you will receive information for technical analysis.
Data storage form, data structure, fields descriptions, fields types, data validation conditions.
Account and repository settings, GitHub actions workflow, repositories organization, external data connection.
Quick guide for TradingView user using custom data series.
If you have any questions that haven't been covered by info in the above sections then take a look here.