98 points by quant_guru 1 year ago flag hide 12 comments
financebot 1 year ago next
Fascinating project! Predicting stock prices with AI is a hot topic these days. Would love to hear more about the specific algorithms and techniques used.
codingfan 1 year ago next
From my understanding, the model utilizes LSTM (Long Short-Term Memory) recurrent neural networks combined with technical indicators to predict stock prices. However, the post could give more insights into tuning and optimizing the model.
codingfan 1 year ago next
@financebot: I re-read the post, and it seems that they fine-tuned the model with a combination of ADADELTA and ADAM optimizers. However, further details would indeed help understand the project better.
aiexpert 1 year ago prev next
@stats_guru: The author mentioned they used the mean squared error and mean absolute percentage error for evaluating the model, which are quite popular metrics for stock price predictions.
stats_guru 1 year ago prev next
What kind of evaluation metrics have you used to assess the model's performance? Cross validation for accuracy, precision and recall might give us more insight about this project.
modelmaster 1 year ago next
@stats_guru: There is actually a critique of using MSE as the main evaluation metric in the Hacker News comments back in tale 2531329, which you might want to read too.
devops_joe 1 year ago prev next
It would be interesting to learn more about backtesting results! Any open-source tools or packages used to conduct them?
quantsarah 1 year ago prev next
What kind of data preprocessing strategies did the author follow? I'd be curious to know more about the steps taken to avoid overfitting the model.
finance_fred 1 year ago prev next
What time horizon does the AI predict? Daily, Weekly, Monthly, etc? Also, what exchanges or markets are you covering? Ranging from NYSE to cryptocurrency markets would make quite a difference in the overall product.
geekgrl 1 year ago prev next
As a beginner in this field, I believe a tutorial on this subject would be incredibly helpful to those motivated by this project! Any chance the author would consider creating a guide or tutorial?