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Repo for AITND issues/bug reports from students.

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Add a section Reinforcement learning for trading since it is related. Maybe some content from [https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893](https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893)

Under "Market Bubbles" It says "which rose from from under $1,000 per coin in January of 2017" word "from" is repeated twice.

"For consistency, let's assume the rate of return is calculated as" the formula behind this line has an error in the denominator

Text above the quiz on the Rolling Windows notebook says 'there are no enough data points' instead of 'not'

It says: "We want to split into these 2d arrays: [ [0, 2, 4], [6, 8, 10], [12, 14, 16], [18, 20, 22] ] [ [1, 3, 5], [7, **8**,...

The following function is Deprecated in pandas 0.21.0: `net_returns = pd.Series.from_csv(filename, header=0)` It should be replaced with: `net_returns = pd.read_csv(filename, squeeze=True, index_col=0)`

In AI For Trading, Term 1, Module 1, Lesson 12: Breusch Pagan in Depth (Optional): The sentence in parentheses in the first section refers to a lesson that would come...

It seems like really suspicious that NULL matrix is expected on output: EXPECTED OUTPUT FOR idiosyncratic_var_matrix: Equity(0 [A]) Equity(1 [AAL]) Equity(2 [AAP]) Equity(0 [A]) 0.00000000 0.00000000 0.00000000 Equity(1 [AAL]) 0.00000000...

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