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GeezerVison is showing github.com — GitHub - QuantConnect/Tutorials: Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

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00 Home/01 Home
00 Home/01 Home
 
 
01 API Tutorials
01 API Tutorials
 
 
02 Tutorial Series
02 Tutorial Series
 
 
03 Open Source
03 Open Source
 
 
04 Strategy Library
04 Strategy Library
 
 
05 Introduction to Financial Python[]
05 Introduction to Financial Python[]
 
 
06 Introduction to Options[]
06 Introduction to Options[]
 
 
07 Applied Options[]
07 Applied Options[]
 
 
08 Meta/01 Creating BootCamp Tutorials
08 Meta/01 Creating BootCamp Tutorials
 
 
Data
Data
 
 
.gitignore
.gitignore
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
quantpedia.json
quantpedia.json
 
 

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QuantConnect Logo

QuantConnect LEAN Tutorials

Tutorial Website | Documentation | Download LEAN | Slack Channel

This repository is a collection of WordPress and Jupyter notebook tutorials for LEAN demonstrating financial concepts and LEAN. Tutorials are categorized into folders with each Category and Tutorial Series. The Jupyter notebook and the associated HTML webpage must use matching file names. The HTML is generated and displayed with wordpress.

Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage. It was designed in Mono and operates in Windows, Linux and Mac platforms. For more information about the LEAN Algorithmic Trading engine see the Lean Engine repository.

Contributors and Pull Requests

Contributions are warmly very welcomed but we ask you read the existing code to see how it is formatted, commented and ensure contributions match the existing style. All code submissions must include accompanying tests. Please see the contributor guide lines.

Strategy Library Development Workflow

To publish a strategy to our Strategy Library, follow the steps on the documentation page

New Tutorial Requests and Edits

Please submit new tutorial requests as an issue to the Tutorials repository. Before submitting an issue please read others to ensure it is not a duplicate. Edits and fixes for clarity are warmly welcomed!

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Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

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