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You're reading from  Python for Finance Cookbook - Second Edition

Product typeBook
Published inDec 2022
PublisherPackt
ISBN-139781803243191
Edition2nd Edition
Concepts
Financial Technology
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Author (1)
Eryk Lewinson
Eryk Lewinson
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Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.
Read more about Eryk Lewinson

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Deploying the technical analysis app

In the previous recipe, we have created a full-fledged web app for technical analysis, which we can easily run and use locally. However, that is not always the goal, as we might want to access the app from anywhere or share it with our friends or colleagues. That is why the next step would be to deploy the app to the cloud.

In this recipe, we show how to deploy the app using Streamlit’s (the company) services.

Getting Ready

To deploy the app to Streamlit Cloud, we need to create an account there (https://forms.streamlit.io/community-sign-up). You will also need a GitHub account to host the code of the app.

How to do it…

Execute the following steps to deploy the Streamlit app to the cloud:

  1. Host the codebase of the app in a public repository on GitHub:
Figure 5.16: The codebase of the app hosted in a public GitHub repository

In this step, remember to host the entire codebase of the app, which can naturally be spread out over multiple...

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Python for Finance Cookbook - Second Edition
Published in: Dec 2022Publisher: PacktISBN-13: 9781803243191
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.
Read more about Eryk Lewinson

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