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

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Currently in quantconnect [documentation](https://www.quantconnect.com/tutorials/introduction-to-options/quantconnect-options-api) there is a line that helps filter for puts or calls but the code is incorrect. current: ```py put = [x for x in optionchain if...

The OptionChainProvider() is missing in both Docs/Data Library/Options and Tutorials/API Tutorials/Using Options in QuantConnect. Here are links where it should be added: https://www.quantconnect.com/docs/data-library/options https://www.quantconnect.com/tutorials/api-tutorials/using-options-in-quantconnect

Some of the futures' strategies might be broken due to Nasdaq purchasing of Quandl since the datasets might not be free anymore.

When recreating the delta profile of a put, the colors and shape are wrong.

We should update `MarketCap` usage (don't need to compute it as it is included) and use `Universe.Unchanged` instead of an empty list when the Universe Selection should not define new...

Hint for this [task](https://www.quantconnect.com/learning/task/145/customizing-universe-settings) has error: It says: `self.UniverseSettingsUniverseSettings` but it should be: `self.UniverseSettings`

Strategy here will fail with error: https://www.quantconnect.com/tutorials/strategy-library/book-to-market-value-anomaly. Reassigning such as: `i.MarketCap = ...` causes an error. MarketCap can be accessed using `fine` without calculation.

Great tutorial by the way. I think you have an error in the plot for the bull call spread. Using the conditions you have in the paragraph before the plot,...