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np.column_stack([data.pct_change().dropna().values]) return self.model.predict(returns) # Instantiate and fit the model to JPM's closing prices jpm_hmm = MarketRegimeHMM() jpm_hmm.fit(data['JPM']['Close']) # Predict the hidden states (market regimes) jpm_states =