Python Coding CONTEST on stock price binary classification.
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Kilpailun tehtävänanto
Python Coding CONTEST on stock price binary classification.
INPUT: A Pandas DataFrame containing a stock's open-close-high-low prices and volume info. See the link to see some examples.
TASK DESCRIPTION: Implement a strategy to predict "good" BUY signals. To know what's a "good" BUY signal, take a look at the boolean True values of the dataframes "class" column or just observe the red dots of the attached sample chart to get a rough idea. Note: For the sake of simplicity, no SELL signal exists, making it a binary classification problem.
Note: it's up to you to choose the solving approach (Machine Learning? Simple statistical rules? Basic algorithms?). No requirement exists for this choice.
Link: https://www.pisciottablog.com/2022/04/22/coding-contest-python-timeseries/
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Työnantajan palaute
“Good result with very low need for code changes.”
CodeBites, Germany.
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