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

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I would want to connect Lean to a custom brokerage and data provider. I referred to the Brokerage Development Guide (https://github.com/QuantConnect/Tutorials/tree/master/03%20Open%20Source/05%20Brokerage%20Development%20Guide), but it is incomplete and has not been updated...

From community thread: https://www.quantconnect.com/forum/discussion/12504/covered-call-tutorial-mistake-quantconnect-com-tutorials-applied-options-covered-call/p1 The first embedded backtest was having a logic error on buying a covered call option instead of selling. The line `self.MarketOrder(self.call, 1)` should be `self.MarketOrder(self.call, -1)`

We updated [this tutorial](https://www.quantconnect.com/tutorials/strategy-library/short-term-reversal-strategy-in-stocks) in January and it was never posted to the site because we were waiting for Docs V2. When Docs V2 is merged, we should update the...

In the Historical Volatility and Implied Volatility Tutorial, for example, there is no documentation for the variables of the method: ```python def bsm_price(option_type, sigma, s, k, r, T, q): pass...

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2174501

- This tutorial should use QuantConnect data. In Pandas-Resampling and DataFrame, ```python monthly_return = aapl.resample('M').agg(lambda x: x[-1]/x[1] - 1) ``` should read ```python monthly_return = aapl.resample('M').agg(lambda x: x[-1]/x[0] - 1)...