Timeline for Fitting a LSTM for stock price prediction using industry sector data
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Sep 13, 2021 at 14:19 | comment | added | Firebug | Except if you are doing that for purely academic purposes, if you use other firms opening price to forecast the one you are interested in, how are you going to use those forecasts? | |
| Sep 13, 2021 at 13:53 | answer | added | Adam Kells | timeline score: 0 | |
| Sep 11, 2021 at 14:57 | comment | added | Sycorax♦ | There's a lot of literature about using machine learning and neural networks for stock market prediction. I'd start by conducting a literature review to see if anyone has tried this kind of a model before, and what they learned. | |
| Sep 11, 2021 at 13:50 | comment | added | ofer-a | I don't see a reason not to try it, seems perfectly reasonable to me. Large network can work with high dimensional input (and indeed increasing the network capacity is good option) Note just to be rigorous and not to fall with some common pitfalls like snooping into the data and have window size so no training data will contain information about the output. | |
| Sep 11, 2021 at 11:15 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
added 4 characters in body; edited tags
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| S Sep 11, 2021 at 11:09 | review | First questions | |||
| Sep 11, 2021 at 11:15 | |||||
| S Sep 11, 2021 at 11:09 | history | asked | Roger Gough | CC BY-SA 4.0 |