investiny 0.5.0

🤏🏻 `investpy` but made tiny.

🤏🏻 investpy but made tiny

Suuuuuuuper simple and tiny investpy replacement while I try to fix it! Here I'll try to add more or less the same functionality that was developed for investpy while keeping this package tiny and up-to-date, as some solutions just work temporarily.

Everyone using investiny please go thank @ramakrishnamekala129 for proposing this solution that seems to be stable and working fine so far (fingers crossed!).

Remember that investiny shouldn't be considered reliable, as even though it's working fine, it may be discontinued, so please use it mindfully.

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🤔 What are the differences with 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://tvc4.investing.com/, which seems to be more reliable right now according to the ran tests, as well as providing intraday data.

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🛠️ Installation

🤏🏻 investiny requires Python 3.8+ and can be installed with pip as it follows:

pip install investiny

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💻 Usage

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 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.com

As search_assets returns a list of results, you can check each of them, and retrieve the ticker from the asset that you want to retrieve historical data from and pass it as 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")

⚠️ Disclaimer

Investing.com is a registered trademark from Investing.com, and their services offered by Fusion Media Limited.

Neither investpy nor investiny are 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.