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updated docs
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@@ -351,8 +351,8 @@ def portfolio_performance(
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After optimising, calculate (and optionally print) the performance of the optimal
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portfolio. Currently calculates expected return, volatility, and the Sharpe ratio.
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:param expected_returns: expected returns for each asset. Set to None if
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optimising for volatility only.
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:param expected_returns: expected returns for each asset. Can be None if
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optimising for volatility only (but not recommended).
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:type expected_returns: np.ndarray or pd.Series
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:param cov_matrix: covariance of returns for each asset
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:type cov_matrix: np.array or pd.DataFrame
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