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Perform two distinct simple trading strategies with various classification models in Python. Generate 'buy' and 'sell' signals based on feature variables for the MSFT security. Signals are selected as the target/label variable used by classifiers.

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MSFT-Classification-Model-Analysis

Strategy One

If the next trading day's close price is greater than today's close price then the signal is ‘buy’, otherwise ‘sell’.

Strategy Two

If the 50-day moving average is greater than the 200-day moving average, then the signal is ‘buy’, otherwise ‘sell’.

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Perform two distinct simple trading strategies with various classification models in Python. Generate 'buy' and 'sell' signals based on feature variables for the MSFT security. Signals are selected as the target/label variable used by classifiers.

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