investiny is faster, lighter, and easier to use than investpy.
investiny has been created due to the latest Investing.com changes in their API protection protocols, as
now their main APIs are Cloudflare V2 protected. Anyway, there are still some APIs working fine, so this package
has been created as a temporary replacement for investpy while we get to an agreement to continue the development
of investpy. In the meantime, anyone can use investiny as I'm actively working on it, and ideally, it should support
most of the functionality provided by investpy.
investiny is faster, lighter and easier to use, but with reduced functionality for the moment. investiny
lets you retrieve historical data from Investing.com through historical_data and search any available asset
through search_assets, while investpy offers more functions to also retrieve technical indicators, economic
calendars, dividends, etc. but those will come at some point to investiny too.
investiny introduces intraday data, so the specified intervals when retrieving historical data for any asset
available at Investing.com goes from 1 minute to monthly data.
investpy uses Investing.com's APIs at https://www.investing.com/instruments/HistoricalDataAjax and at
https://api.investing.com/api/financialdata/historical, that are Cloudflare protected and not working any more,
as you'll end up getting blocked with 403 Forbidden HTTP code; while investiny is using https://tvc6.investing.com/,
which seems to be more reliable right now according to the ran tests, as well as providing intraday data.
| Intraday Data | Any Range Historical Data | Search Assets/Quotes | Dividends | Economic Calendar | Technical Indicators | Economic News | |
|---|---|---|---|---|---|---|---|
| investiny | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ |
| investpy | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
investiny requires Python 3.8+ and can be installed with pip as it follows:
pip install investiny
Retrieve historical data from Investing.com using the Investing.com ID of the asset that you want to retrieve the data from.
from investiny import historical_data
data = historical_data(investing_id=6408, from_date="09/01/2022", to_date="10/01/2022") # Returns AAPL historical data as JSON (without date)There's also a function to look for assets in Investing.com, that also lets you retrieve
the Investing.com ID that you can, later on, use in historical_data as an input parameter.
from investiny import search_assets
results = search_assets(query="AAPL", limit=1, type="Stock", exchange="NASDAQ") # Returns a list with all the results found in Investing.comAs search_assets returns a list of results, you can check each of them, retrieve the ticker from the
asset that you want to retrieve historical data from and pass it as a parameter to historical_data. So on, the
combination of both functions should look like the following:
from investiny import historical_data, search_assets
search_results = search_assets(query="AAPL", limit=1, type="Stock", exchange="NASDAQ")
investing_id = int(search_results[0]["ticker"]) # Assuming the first entry is the desired one (top result in Investing.com)
data = historical_data(investing_id=investing_id, from_date="09/01/2022", to_date="10/01/2022")Investing.com is a registered trademark of Investing.com, and its services are offered by Fusion Media Limited.
Neither investpy nor investiny is affiliated, endorsed, or vetted by Investing.com.
Both investpy and investiny are open-source packages that use Investing.com's available data, intended for research and educational purposes only.
You should refer to Investing.com's terms and conditions at https://www.investing.com/about-us/terms-and-conditions for details on your rights to use the actual data, as it is intended for personal use only.