stockgeist-client-python 0.1.0

StockGeist's REST API Python client.

stockgeist-client-python

Python client for fetching data from StockGeist's REST API.

The full documentation of the REST API can be found at https://docs.stockgeist.ai.

Installation

You can install the package directly from this repository for getting the version with the latest bug fixes and features

pip install git+https://github.com/stockgeist/stockgeist-client-python.git

or you can install the stable version from PyPI

pip install stockgeist-client-python

Getting started

Basic usage is very straightforward. First you have to create an account with StockGeist and obtain your token for connecting to the REST API. Then simply create an instance of StockGeistClient and pass your StockGeist REST API token to it:

import stockgeist

client = stockgeist.StockGeistClient(token="example-token")

client = stockgeist.StockGeistClient(token="example-token")

Now through the client object you get the access to all methods for fetching data from the REST API. Let's say that you want to find out how many messages have been posted on social media in the last hour about the Apple stock (NASDAQ:AAPL). All you have to do is to run the following code snippet:

aapl_response = client.get_message_metrics(symbol="AAPL", timeframe="1h")
print(aapl_response.as_dict)

Resulting output:

{'timestamp': ['2021-06-11 13:20:00+00:00'], 'total_count': [13.0]}

The aapl_response is an object encapsulating the data fetched from the API together with some useful methods to easily explore the data, e.g., plot the time series.

For now, the best source of information about the functionality of stockgeist-client-python are the docstrings inside the source files.

You can also find a sample Jupyter notebook demonstrating the possibilities of stockgeist-client-python in the samples directory of this project.

Licence

This package is provided as open source under the terms of the MIT Licence.

Contributing

Feel free to contact us at [e-mail] or simply create an issue if you would like to see additional features implemented in this package.